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ORCIDDavid S. Doermann
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- affiliation: University at Buffalo, USA
- affiliation (former): University of Maryland, USA
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2020 – today
- 2024
[b1]Baochang Zhang, Tiancheng Wang, Sheng Xu, David S. Doermann:
Neural Networks with Model Compression. Springer 2024, ISBN 978-981-99-5067-6, pp. 1-260- [j64]Jaakko J. Sauvola, Sasu Tarkoma, Mika Klemettinen, Jukka Riekki, David S. Doermann:
Future of software development with generative AI. Autom. Softw. Eng. 31(1): 26 (2024) - [j63]Alireza Alaei
, Vinh Bui, David S. Doermann, Umapada Pal:
Document Image Quality Assessment: A Survey. ACM Comput. Surv. 56(2): 29:1-29:36 (2024) - [j62]Anurag Dhote, Mohammed Javed, David S. Doermann:
Swin-chart: An efficient approach for chart classification. Pattern Recognit. Lett. 185: 203-209 (2024) - [c230]Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann:
Federated Learning via Input-Output Collaborative Distillation. AAAI 2024: 22058-22066 - [c229]Yuanhao Zhai, Kevin Lin, Linjie Li, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, David S. Doermann, Junsong Yuan, Zicheng Liu, Lijuan Wang:
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation. ECCV (15) 2024: 134-152 - [c228]Pengyu Yan, Mahesh Bhosale, Jay Lal, Bikhyat Adhikari, David S. Doermann:
ChartReformer: Natural Language-Driven Chart Image Editing. ICDAR (1) 2024: 453-469 - [c227]Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun:
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement. ICML 2024 - [i55]Pengyu Yan, Mahesh Bhosale, Jay Lal, Bikhyat Adhikari, David S. Doermann:
ChartReformer: Natural Language-Driven Chart Image Editing. CoRR abs/2403.00209 (2024) - [i54]Yangcen Liu, Ziyi Liu, Yuanhao Zhai, Wen Li, David S. Doermann, Junsong Yuan:
STAT: Towards Generalizable Temporal Action Localization. CoRR abs/2404.13311 (2024) - [i53]Saurav Sagar, Mohammed Javed, David S. Doermann:
Leaf-Based Plant Disease Detection and Explainable AI. CoRR abs/2404.16833 (2024) - [i52]Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David S. Doermann, Qixiang Ye, Yunjie Tian:
Artemis: Towards Referential Understanding in Complex Videos. CoRR abs/2406.00258 (2024) - [i51]Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David S. Doermann, Junsong Yuan, Lijuan Wang:
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation. CoRR abs/2406.06890 (2024) - [i50]Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Yuan Zhang, David S. Doermann, Qixiang Ye:
ClawMachine: Fetching Visual Tokens as An Entity for Referring and Grounding. CoRR abs/2406.11327 (2024) - [i49]Yuanhao Zhai, Kevin Lin, Linjie Li, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, David S. Doermann, Junsong Yuan, Zicheng Liu, Lijuan Wang:
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation. CoRR abs/2407.10937 (2024) - 2023
- [j61]Runqi Wang, Zhen Liu, Baochang Zhang, Guodong Guo, David S. Doermann:
Few-Shot Learning with Complex-Valued Neural Networks and Dependable Learning. Int. J. Comput. Vis. 131(1): 385-404 (2023) - [j60]Runqi Wang, Linlin Yang, Hanlin Chen, Wei Wang, David S. Doermann, Baochang Zhang:
Anti-Bandit for Neural Architecture Search. Int. J. Comput. Vis. 131(10): 2682-2698 (2023) - [j59]Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Nanning Zheng, David S. Doermann, Junsong Yuan, Gang Hua:
Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4136-4151 (2023) - [j58]Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu:
Federated Learning With Privacy-Preserving Ensemble Attention Distillation. IEEE Trans. Medical Imaging 42(7): 2057-2067 (2023) - [c226]Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu:
Progressive Multi-View Human Mesh Recovery with Self-Supervision. AAAI 2023: 676-684 - [c225]Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David S. Doermann, Junsong Yuan, Gang Hua:
SOAR: Scene-debiasing Open-set Action Recognition. ICCV 2023: 10210-10220 - [c224]Yuanhao Zhai, Tianyu Luan, David S. Doermann, Junsong Yuan:
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning. ICCV 2023: 22333-22343 - [c223]Anurag Dhote, Mohammed Javed, David S. Doermann:
A Survey and Approach to Chart Classification. ICDAR Workshops (1) 2023: 67-82 - [c222]Saleem Ahmed, Pengyu Yan, David S. Doermann, Srirangaraj Setlur, Venu Govindaraju:
SpaDen: Sparse and Dense Keypoint Estimation for Real-World Chart Understanding. ICDAR (2) 2023: 77-93 - [c221]Pengyu Yan, Saleem Ahmed, David S. Doermann:
Context-Aware Chart Element Detection. ICDAR (1) 2023: 218-233 - [c220]Jay Lal, Aditya Mitkari, Mahesh Bhosale, David S. Doermann:
LineFormer: Line Chart Data Extraction Using Instance Segmentation. ICDAR (5) 2023: 387-400 - [c219]Liangchen Song, Xuan Gong, Helong Zhou, Jiajie Chen, Qian Zhang, David S. Doermann, Junsong Yuan:
Exploring the Knowledge Transferred by Response-Based Teacher-Student Distillation. ACM Multimedia 2023: 2704-2713 - [c218]Yuanhao Zhai, Mingzhen Huang, Tianyu Luan, Lu Dong, Ifeoma Nwogu, Siwei Lyu, David S. Doermann, Junsong Yuan:
Language-guided Human Motion Synthesis with Atomic Actions. ACM Multimedia 2023: 5262-5271 - [c217]Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao:
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. NeurIPS 2023 - [i48]Jay Lal, Aditya Mitkari, Mahesh Bhosale, David S. Doermann:
LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation. CoRR abs/2305.01837 (2023) - [i47]Pengyu Yan, Saleem Ahmed, David S. Doermann:
Context-Aware Chart Element Detection. CoRR abs/2305.04151 (2023) - [i46]Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann:
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. CoRR abs/2307.00198 (2023) - [i45]Anurag Dhote, Mohammed Javed, David S. Doermann:
A Survey and Approach to Chart Classification. CoRR abs/2307.04147 (2023) - [i44]Anurag Dhote, Mohammed Javed, David S. Doermann:
A Survey on Figure Classification Techniques in Scientific Documents. CoRR abs/2307.05694 (2023) - [i43]Abhinandan Kumar Pun, Mohammed Javed, David S. Doermann:
A Survey on Change Detection Techniques in Document Images. CoRR abs/2307.07691 (2023) - [i42]Saleem Ahmed, Pengyu Yan, David S. Doermann, Srirangaraj Setlur, Venu Govindaraju:
SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding. CoRR abs/2308.01971 (2023) - [i41]Yuanhao Zhai, Mingzhen Huang, Tianyu Luan, Lu Dong, Ifeoma Nwogu, Siwei Lyu, David S. Doermann, Junsong Yuan:
Language-guided Human Motion Synthesis with Atomic Actions. CoRR abs/2308.09611 (2023) - [i40]Yuanhao Zhai, Tianyu Luan, David S. Doermann, Junsong Yuan:
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning. CoRR abs/2309.01246 (2023) - [i39]Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David S. Doermann, Junsong Yuan, Gang Hua:
SOAR: Scene-debiasing Open-set Action Recognition. CoRR abs/2309.01265 (2023) - [i38]Mahesh Bhosale, Abhishek Kumar, David S. Doermann:
Player Re-Identification Using Body Part Appearences. CoRR abs/2310.14469 (2023) - [i37]Nikhil Manali, David S. Doermann, Mahesh Desai:
The Analysis and Extraction of Structure from Organizational Charts. CoRR abs/2311.10234 (2023) - [i36]Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann:
Federated Learning via Input-Output Collaborative Distillation. CoRR abs/2312.14478 (2023) - 2022
- [j57]Junhe Zhao, Sheng Xu, Baochang Zhang, Jiaxin Gu, David S. Doermann, Guodong Guo:
Towards Compact 1-bit CNNs via Bayesian Learning. Int. J. Comput. Vis. 130(2): 201-225 (2022) - [j56]Palaiahnakote Shivakumara, Pinaki Nath Chowdhury, Umapada Pal, David S. Doermann, Raghavendra Ramachandra, Tong Lu, Michael Blumenstein:
A Knowledge Enforcement Network-Based Approach for Classifying a Photographer's Images. Int. J. Pattern Recognit. Artif. Intell. 36(15): 2250046:1-2250046:29 (2022) - [j55]Jarkko Hyysalo, Sandun Dasanayake, Jari Hannu, Christian Schuss, Mikko Rajanen, Teemu Leppänen, David S. Doermann, Jaakko J. Sauvola:
Smart mask - Wearable IoT solution for improved protection and personal health. Internet Things 18: 100511 (2022) - [j54]Junhe Zhao, Sheng Xu, Runqi Wang, Baochang Zhang, Guodong Guo, David S. Doermann, Dianmin Sun:
Data-adaptive binary neural networks for efficient object detection and recognition. Pattern Recognit. Lett. 153: 239-245 (2022) - [j53]Zhibo Zhang, Yanjun Zhu, Rahul Rai, David S. Doermann:
PIMNet: Physics-Infused Neural Network for Human Motion Prediction. IEEE Robotics Autom. Lett. 7(4): 8949-8955 (2022) - [j52]Huan Chang, Yicheng Chen, Baochang Zhang, David S. Doermann:
Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 489-498 (2022) - [j51]Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu, David S. Doermann:
iffDetector: Inference-Aware Feature Filtering for Object Detection. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6494-6503 (2022) - [j50]Sheng Xu, Chang Liu, Baochang Zhang, Jinhu Lü, Guodong Guo, David S. Doermann:
BiRe-ID: Binary Neural Network for Efficient Person Re-ID. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 26:1-26:22 (2022) - [c216]Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje:
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. AAAI 2022: 11891-11899 - [c215]Sicheng Gao, Yutang Feng, Linlin Yang, Xuhui Liu, Zichen Zhu, David S. Doermann, Baochang Zhang:
MagFormer: Hybrid Video Motion Magnification Transformer from Eulerian and Lagrangian Perspectives. BMVC 2022: 444 - [c214]Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David S. Doermann, Ziyan Wu:
Self-supervised Human Mesh Recovery with Cross-Representation Alignment. ECCV (1) 2022: 212-230 - [c213]Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David S. Doermann, Junsong Yuan, Terrence Chen, Ziyan Wu:
PREF: Predictability Regularized Neural Motion Fields. ECCV (22) 2022: 664-681 - [c212]Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David S. Doermann:
Uncertainty Learning towards Unsupervised Deformable Medical Image Registration. WACV 2022: 1555-1564 - [i35]Runqi Wang, Linlin Yang, Baochang Zhang, Wentao Zhu, David S. Doermann, Guodong Guo:
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. CoRR abs/2203.09082 (2022) - [i34]Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David S. Doermann, Ziyan Wu:
Self-supervised Human Mesh Recovery with Cross-Representation Alignment. CoRR abs/2209.04596 (2022) - [i33]Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje:
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. CoRR abs/2209.04599 (2022) - [i32]Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David S. Doermann, Junsong Yuan, Terrence Chen, Ziyan Wu:
PREF: Predictability Regularized Neural Motion Fields. CoRR abs/2209.10691 (2022) - [i31]Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu:
Federated Learning with Privacy-Preserving Ensemble Attention Distillation. CoRR abs/2210.08464 (2022) - [i30]Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu:
Progressive Multi-view Human Mesh Recovery with Self-Supervision. CoRR abs/2212.05223 (2022) - 2021
- [j49]Song Xue, Hanlin Chen, Chunyu Xie, Baochang Zhang, Xuan Gong, David S. Doermann:
Fast and Unsupervised Neural Architecture Evolution for Visual Representation Learning. IEEE Comput. Intell. Mag. 16(3): 22-32 (2021) - [j48]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo:
Binarized Neural Architecture Search for Efficient Object Recognition. Int. J. Comput. Vis. 129(2): 501-516 (2021) - [j47]Chunlei Liu, Wenrui Ding, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Guodong Guo, David S. Doermann:
Rectified Binary Convolutional Networks with Generative Adversarial Learning. Int. J. Comput. Vis. 129(4): 998-1012 (2021) - [j46]Zhibo Zhang, Rahul Rai, Souma Chowdhury, David S. Doermann:
MIDPhyNet: Memorized infusion of decomposed physics in neural networks to model dynamic systems. Neurocomputing 428: 116-129 (2021) - [j45]Kenny Davila, Srirangaraj Setlur, David S. Doermann, Bhargava Urala Kota, Venu Govindaraju:
Chart Mining: A Survey of Methods for Automated Chart Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3799-3819 (2021) - [j44]Duona Zhang, Wenrui Ding, Baochang Zhang, Chunhui Liu, Jungong Han, David S. Doermann:
Learning modulation filter networks for weak signal detection in noise. Pattern Recognit. 109: 107590 (2021) - [c211]Sheng Xu, Junhe Zhao, Jinhu Lu, Baochang Zhang, Shumin Han, David S. Doermann:
Layer-Wise Searching for 1-Bit Detectors. CVPR 2021: 5682-5691 - [c210]Bulla Rajesh, Priyanshu Jain, Mohammed Javed, David S. Doermann:
HH-CompWordNet: Holistic Handwritten Word Recognition in the Compressed Domain. DCC 2021: 362 - [c209]Song Xue, Runqi Wang, Baochang Zhang, Tian Wang, Guodong Guo, David S. Doermann:
IDARTS: Interactive Differentiable Architecture Search. ICCV 2021: 1143-1152 - [c208]Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje:
Ensemble Attention Distillation for Privacy-Preserving Federated Learning. ICCV 2021: 15056-15066 - [c207]Shuwei Shao, Zhongcai Pei, Weihai Chen, Baochang Zhang, Xingming Wu, Dianmin Sun, David S. Doermann:
Self-Supervised Learning for Monocular Depth Estimation on Minimally Invasive Surgery Scenes. ICRA 2021: 7159-7165 - [c206]Leighton Collins, Payam Ghassemi, Ehsan Tarkesh Esfahani, David S. Doermann, Karthik Dantu, Souma Chowdhury:
Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas. ICRA 2021: 7393-7399 - [c205]Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David S. Doermann:
Uncertainty-aware Binary Neural Networks. IJCAI 2021: 3441-3447 - [c204]Amir Behjat, Hemanth Manjunatha, Prajit KrisshnaKumar, Apurv Jani, Leighton Collins, Payam Ghassemi, Joseph P. Distefano, David S. Doermann, Karthik Dantu, Ehsan Tarkesh Esfahani, Souma Chowdhury:
Learning Robot Swarm Tactics over Complex Adversarial Environments. MRS 2021: 83-91 - [c203]Joseph P. Distefano, Hemanth Manjunatha, Souma Chowdhury, Karthik Dantu, David S. Doermann, Ehsan Tarkesh Esfahani:
Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction. SMC 2021: 1198-1203 - [c202]Xuan Gong, Shuyan Chen, Baochang Zhang, David S. Doermann:
Style Consistent Image Generation for Nuclei Instance Segmentation. WACV 2021: 3993-4002 - [c201]Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo:
Deformable Gabor Feature Networks for Biomedical Image Classification. WACV 2021: 4003-4011 - [i29]Huan Chang, Yicheng Chen, Baochang Zhang, David S. Doermann:
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning. CoRR abs/2102.02078 (2021) - [i28]Leighton Collins, Payam Ghassemi, Ehsan Tarkesh Esfahani, David S. Doermann, Karthik Dantu, Souma Chowdhury:
Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas. CoRR abs/2103.14709 (2021) - [i27]Mingyuan Mao, Baochang Zhang, David S. Doermann, Jie Guo, Shumin Han, Yuan Feng, Xiaodi Wang, Errui Ding:
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections. CoRR abs/2105.03139 (2021) - [i26]Teli Ma, Mingyuan Mao, Honghui Zheng, Peng Gao, Xiaodi Wang, Shumin Han, Errui Ding, Baochang Zhang, David S. Doermann:
Oriented Object Detection with Transformer. CoRR abs/2106.03146 (2021) - [i25]Runqi Wang, Baochang Zhang, Li'an Zhuo, Qixiang Ye, David S. Doermann:
Cogradient Descent for Dependable Learning. CoRR abs/2106.10617 (2021) - [i24]Yuanhao Zhai, Le Wang, David S. Doermann, Junsong Yuan:
Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track. CoRR abs/2106.10829 (2021) - [i23]Amir Behjat, Hemanth Manjunatha, Prajit KrisshnaKumar, Apurv Jani, Leighton Collins, Payam Ghassemi, Joseph P. Distefano, David S. Doermann, Karthik Dantu, Ehsan Tarkesh Esfahani, Souma Chowdhury:
Learning Robot Swarm Tactics over Complex Adversarial Environments. CoRR abs/2109.05663 (2021) - [i22]Joseph P. Distefano, Hemanth Manjunatha, Souma Chowdhury, Karthik Dantu, David S. Doermann, Ehsan Tarkesh Esfahani:
Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction. CoRR abs/2109.12055 (2021) - [i21]Runqi Wang, Xiaoyue Duan, Baochang Zhang, Song Xue, Wentao Zhu, David S. Doermann, Guodong Guo:
Associative Adversarial Learning Based on Selective Attack. CoRR abs/2112.13989 (2021) - 2020
- [j43]Amir Behjat, Chen Zeng, Rahul Rai, Ion Matei, David S. Doermann, Souma Chowdhury:
A physics-aware learning architecture with input transfer networks for predictive modeling. Appl. Soft Comput. 96: 106665 (2020) - [j42]Chunlei Liu, Wenrui Ding, Yuan Hu, Xin Xia, Baochang Zhang, Jianzhuang Liu, David S. Doermann:
Circulant Binary Convolutional Networks for Object Recognition. IEEE J. Sel. Top. Signal Process. 14(4): 884-893 (2020) - [c200]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. AAAI 2020: 10526-10533 - [c199]Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo:
Cogradient Descent for Bilinear Optimization. CVPR 2020: 7956-7964 - [c198]Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann:
Anti-bandit Neural Architecture Search for Model Defense. ECCV (13) 2020: 70-85 - [c197]Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann:
NAS-Count: Counting-by-Density with Neural Architecture Search. ECCV (22) 2020: 747-766 - [c196]Chao Fang, Yutao Hu, Baochang Zhang, David S. Doermann:
The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified. ICPR Workshops (8) 2020: 480-489 - [c195]Yanjun Zhu, David S. Doermann, Yanxia Zhang, Qiong Liu, Andreas Girgensohn:
What and How? Jointly Forecasting Human Action and Pose. ICPR 2020: 771-778 - [c194]Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann:
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs. IJCAI 2020: 1033-1039 - [c193]Hemanth Manjunatha, Joseph P. Distefano, Apurv Jani, Payam Ghassemi, Souma Chowdhury, Karthik Dantu, David S. Doermann, Ehsan Tarkesh Esfahani:
Using Physiological Measurements to Analyze the Tactical Decisions in Human Swarm Teams. SMC 2020: 256-261 - [c192]Teli Ma, Yizhi Wang, Jinxin Shao, Baochang Zhang, David S. Doermann:
Orthogonal Features Fusion Network for Anomaly Detection. VCIP 2020: 33-37 - [i20]Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann:
NAS-Count: Counting-by-Density with Neural Architecture Search. CoRR abs/2003.00217 (2020) - [i19]Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann:
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks. CoRR abs/2005.00057 (2020) - [i18]Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Guodong Guo, Rongrong Ji:
Cogradient Descent for Bilinear Optimization. CoRR abs/2006.09142 (2020) - [i17]Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu, Guodong Guo, David S. Doermann:
iffDetector: Inference-aware Feature Filtering for Object Detection. CoRR abs/2006.12708 (2020) - [i16]Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David S. Doermann:
Anti-Bandit Neural Architecture Search for Model Defense. CoRR abs/2008.00698 (2020) - [i15]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo:
Binarized Neural Architecture Search for Efficient Object Recognition. CoRR abs/2009.04247 (2020) - [i14]Wenyu Zhao, Teli Ma, Xuan Gong, Baochang Zhang, David S. Doermann:
A Review of Recent Advances of Binary Neural Networks for Edge Computing. CoRR abs/2011.14824 (2020) - [i13]Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Lian Zhuo:
Deformable Gabor Feature Networks for Biomedical Image Classification. CoRR abs/2012.04109 (2020)
2010 – 2019
- 2019
- [j41]Sungmin Eum, David S. Doermann:
Planar content selection in images and videos using frontalness. Pattern Recognit. Lett. 124: 55-62 (2019) - [j40]Showmik Bhowmik, Ram Sarkar, Bishwadeep Das, David S. Doermann:
GiB: A Game Theory Inspired Binarization Technique for Degraded Document Images. IEEE Trans. Image Process. 28(3): 1443-1455 (2019) - [c191]Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann:
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. AAAI 2019: 8344-8351 - [c190]Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann:
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. AAAI 2019: 9348-9355 - [c189]Asish Chakrapani GV, Sukalpa Chanda, Umapada Pal, David S. Doermann:
One-Shot Learning-Based Handwritten Word Recognition. ACPR (2) 2019: 210-223 - [c188]Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann:
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation. CVPR 2019: 2691-2699 - [c187]Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann:
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CVPR 2019: 2790-2799 - [c186]Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CVPR 2019: 2800-2809 - [c185]Yi Zhu, Yanzhao Zhou, Huijuan Xu, Qixiang Ye, David S. Doermann, Jianbin Jiao:
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation. CVPR 2019: 3116-3125 - [c184]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. CVPR 2019: 6133-6142 - [c183]Sukalpa Chanda, Asish Chakrapani GV, Anders Brun, Anders Hast, Umapada Pal, David S. Doermann:
Face Recognition - A One-Shot Learning Perspective. SITIS 2019: 113-119 - [i12]Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network. CoRR abs/1903.00853 (2019) - [i11]Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann:
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CoRR abs/1903.09291 (2019) - [i10]Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann:
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation. CoRR abs/1910.10853 (2019) - [i9]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. CoRR abs/1911.10862 (2019) - 2018
- [j39]Showmik Bhowmik, Ram Sarkar, Mita Nasipuri, David S. Doermann:
Text and non-text separation in offline document images: a survey. Int. J. Document Anal. Recognit. 21(1-2): 1-20 (2018) - [j38]Shibaprasad Sen, Ankan Bhattacharyya, Pawan Kumar Singh, Ram Sarkar, Kaushik Roy, David S. Doermann:
Application of Structural and Topological Features to Recognize Online Handwritten Bangla Characters. ACM Trans. Asian Low Resour. Lang. Inf. Process. 17(3): 20:1-20:16 (2018) - [i8]Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann:
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. CoRR abs/1811.12755 (2018) - [i7]Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CoRR abs/1812.04368 (2018) - 2017
- [c182]Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann:
IOD-CNN: Integrating object detection networks for event recognition. ICIP 2017: 875-879 - [i6]Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann:
IOD-CNN: Integrating Object Detection Networks for Event Recognition. CoRR abs/1703.07431 (2017) - 2016
- [j37]Jingtao Xu, Peng Ye, Qiaohong Li, Haiqing Du, Yong Liu, David S. Doermann:
Blind Image Quality Assessment Based on High Order Statistics Aggregation. IEEE Trans. Image Process. 25(9): 4444-4457 (2016) - [c181]Jingtao Xu, Peng Ye, Qiaohong Li, Yong Liu, David S. Doermann:
No-reference document image quality assessment based on high order image statistics. ICIP 2016: 3289-3293 - [c180]Sungmin Eum, David S. Doermann:
Content selection using frontalness evaluation of multiple frames. ICPR 2016: 3404-3409 - 2015
- [j36]Ankush Roy, Biswajit Halder, Utpal Garain, David S. Doermann:
Machine-assisted authentication of paper currency: an experiment on Indian banknotes. Int. J. Document Anal. Recognit. 18(3): 271-285 (2015) - [j35]Qixiang Ye, David S. Doermann:
Text Detection and Recognition in Imagery: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 37(7): 1480-1500 (2015) - [c179]Sungmin Eum, Hyungtae Lee, David S. Doermann:
JH2R: Joint Homography Estimation for Highlight Removal. BMVC 2015: 49.1-49.12 - [c178]Xianzhi Du, David S. Doermann, Wael Abd-Almageed:
A graphical model approach for matching partial signatures. CVPR 2015: 1465-1472 - [c177]Hongxing Gao, Marçal Rusiñol, Dimosthenis Karatzas, Josep Lladós, Rajiv Jain, David S. Doermann:
Novel line verification for multiple instance focused retrieval in document collections. ICDAR 2015: 481-485 - [c176]Rajiv Jain, David S. Doermann:
Localized document image change detection. ICDAR 2015: 786-790 - [c175]Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri, David S. Doermann:
Word-level script identification for handwritten Indic scripts. ICDAR 2015: 1106-1110 - [c174]Le Kang, Peng Ye, Yi Li, David S. Doermann:
Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks. ICIP 2015: 2791-2795 - [c173]Sravanthi Bondugula, Varun Manjunatha, Larry S. Davis, David S. Doermann:
SHOE: Sibling Hashing with Output Embeddings. ACM Multimedia 2015: 823-826 - [i5]Sravanthi Bondugula, Varun Manjunatha, Larry S. Davis, David S. Doermann:
SHOE: Supervised Hashing with Output Embeddings. CoRR abs/1502.00030 (2015) - 2014
- [j34]Jayant Kumar, Peng Ye, David S. Doermann:
Structural similarity for document image classification and retrieval. Pattern Recognit. Lett. 43: 119-126 (2014) - [c172]Le Kang, Peng Ye, Yi Li, David S. Doermann:
Convolutional Neural Networks for No-Reference Image Quality Assessment. CVPR 2014: 1733-1740 - [c171]Le Kang, Yi Li, David S. Doermann:
Orientation Robust Text Line Detection in Natural Images. CVPR 2014: 4034-4041 - [c170]Peng Ye, Jayant Kumar, David S. Doermann:
Beyond Human Opinion Scores: Blind Image Quality Assessment Based on Synthetic Scores. CVPR 2014: 4241-4248 - [c169]Peng Ye, David S. Doermann:
Active Sampling for Subjective Image Quality Assessment. CVPR 2014: 4249-4256 - [c168]Rajiv Jain, Douglas W. Oard, David S. Doermann:
Scalable ranked retrieval using document images. DRR 2014: 90210K-90210K-15 - [c167]Rajiv Jain, David S. Doermann:
Combining Local Features for Offline Writer Identification. ICFHR 2014: 583-588 - [c166]Jingtao Xu, Peng Ye, Yong Liu, David S. Doermann:
No-reference video quality assessment via feature learning. ICIP 2014: 491-495 - [c165]Qixiang Ye, David S. Doermann:
Robust scene text detection using integrated feature discrimination. ICIP 2014: 1678-1682 - [c164]Le Kang, Peng Ye, Yi Li, David S. Doermann:
A deep learning approach to document image quality assessment. ICIP 2014: 2570-2574 - [c163]Sungmin Eum, David S. Doermann:
Sharpness-aware document image mosaicing using graphcuts. ICIP 2014: 2575-2579 - [c162]Xianzhi Du, David S. Doermann, Wael Abd-Almageed:
Signature Matching Using Supervised Topic Models. ICPR 2014: 327-332 - [c161]Jialing Zou, Qixiang Ye, Yanting Cui, David S. Doermann, Jianbin Jiao:
A Belief Based Correlated Topic Model for Trajectory Clustering in Crowded Video Scenes. ICPR 2014: 2543-2548 - [c160]Le Kang, Jayant Kumar, Peng Ye, Yi Li, David S. Doermann:
Convolutional Neural Networks for Document Image Classification. ICPR 2014: 3168-3172 - [c159]Shan Gao, Zhenjun Han, David S. Doermann, Jianbin Jiao:
Depth Structure Association for RGB-D Multi-target Tracking. ICPR 2014: 4152-4157 - [e4]David S. Doermann, Karl Tombre:
Handbook of Document Image Processing and Recognition. Springer 2014, ISBN 978-0-85729-858-4 [contents] - [i4]David M. Zajic, Michael Maxwell, David S. Doermann, Paul Rodrigues, Michael Bloodgood:
Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language. CoRR abs/1410.7787 (2014) - [i3]Paul Rodrigues, David M. Zajic, David S. Doermann, Michael Bloodgood, Peng Ye:
Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling. CoRR abs/1410.8149 (2014) - [i2]Michael Bloodgood, Peng Ye, Paul Rodrigues, David M. Zajic, David S. Doermann:
A random forest system combination approach for error detection in digital dictionaries. CoRR abs/1410.8553 (2014) - 2013
- [j33]Mudit Agrawal, David S. Doermann:
Clutter noise removal in binary document images. Int. J. Document Anal. Recognit. 16(4): 351-369 (2013) - [c158]Qixiang Ye, David S. Doermann:
Scene Text Detection via Integrated Discrimination of Component Appearance and Consensus. CBDAR 2013: 47-59 - [c157]Jayant Kumar, Peng Ye, David S. Doermann:
A Dataset for Quality Assessment of Camera Captured Document Images. CBDAR 2013: 113-125 - [c156]Peng Ye, Jayant Kumar, Le Kang, David S. Doermann:
Real-Time No-Reference Image Quality Assessment Based on Filter Learning. CVPR 2013: 987-994 - [c155]Rajiv Jain, David S. Doermann:
VisualDiff: Document Image Verification and Change Detection. ICDAR 2013: 40-44 - [c154]Rajiv Jain, David S. Doermann:
Writer Identification Using an Alphabet of Contour Gradient Descriptors. ICDAR 2013: 550-554 - [c153]Peng Ye, David S. Doermann:
Document Image Quality Assessment: A Brief Survey. ICDAR 2013: 723-727 - [c152]Xianzhi Du, Wael Abd-Almageed, David S. Doermann:
Large-Scale Signature Matching Using Multi-stage Hashing. ICDAR 2013: 976-980 - [c151]Jayant Kumar, David S. Doermann:
Unsupervised Classification of Structurally Similar Document Images. ICDAR 2013: 1225-1229 - 2012
- [j32]Peng Ye, David S. Doermann:
No-Reference Image Quality Assessment Using Visual Codebooks. IEEE Trans. Image Process. 21(7): 3129-3138 (2012) - [c150]Utpal Garain, Arjun Das, David S. Doermann, Douglas W. Oard:
Leveraging Statistical Transliteration for Dictionary-Based English-Bengali CLIR of OCR'd Text. COLING (Posters) 2012: 339-348 - [c149]Peng Ye, Jayant Kumar, Le Kang, David S. Doermann:
Unsupervised feature learning framework for no-reference image quality assessment. CVPR 2012: 1098-1105 - [c148]Rajiv Jain, David S. Doermann:
Logo Retrieval in Document Images. Document Analysis Systems 2012: 135-139 - [c147]Le Kang, David S. Doermann, Huaigu Cao, Rohit Prasad, Prem Natarajan:
Local Segmentation of Touching Characters Using Contour Based Shape Decomposition. Document Analysis Systems 2012: 460-464 - [c146]Le Kang, Jayant Kumar, Peng Ye, David S. Doermann:
Learning Text-Line Segmentation Using Codebooks and Graph Partitioning. ICFHR 2012: 63-68 - [c145]Jayant Kumar, Peng Ye, David S. Doermann:
Learning document structure for retrieval and classification. ICPR 2012: 1558-1561 - [c144]Peng Ye, David S. Doermann:
Learning features for predicting OCR accuracy. ICPR 2012: 3204-3207 - [c143]Jayant Kumar, Francine Chen, David S. Doermann:
Sharpness estimation for document and scene images. ICPR 2012: 3292-3295 - [c142]Zhiyi Song, Safa Ismael, Stephen Grimes, David S. Doermann, Stephanie M. Strassel:
Linguistic Resources for Handwriting Recognition and Translation Evaluation. LREC 2012: 3951-3955 - 2011
- [c141]Jayant Kumar, Rohit Prasad, Huaigu Cao, Wael Abd-Almageed, David S. Doermann, Premkumar Natarajan:
Shape codebook based handwritten and machine printed text zone extraction. DRR 2011: 787406 - [c140]Utpal Garain, Jiaul H. Paik, Tamaltaru Pal, Prasenjit Majumder, David S. Doermann, Douglas W. Oard:
Overview of the FIRE 2011 RISOT Task. FIRE 2011: 197-204 - [c139]Utpal Garain, David S. Doermann, Douglas W. Oard:
Maryland at FIRE 2011: Retrieval of OCR'd Bengali. FIRE 2011: 205-213 - [c138]Mudit Agrawal, David S. Doermann:
Stroke-Like Pattern Noise Removal in Binary Document Images. ICDAR 2011: 17-21 - [c137]Jayant Kumar, Le Kang, David S. Doermann, Wael Abd-Almageed:
Segmentation of Handwritten Textlines in Presence of Touching Components. ICDAR 2011: 109-113 - [c136]Le Kang, David S. Doermann:
Template Based Segmentation of Touching Components in Handwritten Text Lines. ICDAR 2011: 569-573 - [c135]Jayant Kumar, David S. Doermann:
Fast Rule-Line Removal Using Integral Images and Support Vector Machines. ICDAR 2011: 584-588 - [c134]Rajiv Jain, David S. Doermann:
Offline Writer Identification Using K-Adjacent Segments. ICDAR 2011: 769-773 - [c133]Jayant Kumar, Jaishanker K. Pillai, David S. Doermann:
Document Image Classification and Labeling Using Multiple Instance Learning. ICDAR 2011: 1059-1063 - [c132]Peng Ye, David S. Doermann:
No-reference image quality assessment based on visual codebook. ICIP 2011: 3089-3092 - [c131]Paul McNamee, James Mayfield, Dawn J. Lawrie, Douglas W. Oard, David S. Doermann:
Cross-Language Entity Linking. IJCNLP 2011: 255-263 - [i1]Paul McNamee, James Mayfield, Veselin Stoyanov, Douglas W. Oard, Tan Xu, Wu Ke, David S. Doermann:
Cross-Language Entity Linking in Maryland during a Hurricane. TAC 2011 - 2010
- [c130]Mudit Agrawal, David S. Doermann:
Context-aware and content-based dynamic Voronoi page segmentation. Document Analysis Systems 2010: 73-80 - [c129]Jayant Kumar, Wael Abd-Almageed, Le Kang, David S. Doermann:
Handwritten Arabic text line segmentation using affinity propagation. Document Analysis Systems 2010: 135-142 - [c128]David S. Doermann:
The Evolution of Document Authentication. ICFHR 2010: 3 - [c127]Wontaek Seo, Mudit Agrawal, David S. Doermann:
Performance Evaluation Tools for Zone Segmentation and Classification (PETS). ICPR 2010: 503-506 - [e3]David S. Doermann, Venu Govindaraju, Daniel P. Lopresti, Premkumar Natarajan:
The Ninth IAPR International Workshop on Document Analysis Systems, DAS 2010, June 9-11, 2010, Boston, Massachusetts, USA. ACM International Conference Proceeding Series, ACM 2010, ISBN 978-1-60558-773-8 [contents]
2000 – 2009
- 2009
- [j31]Jian Liang, Daniel DeMenthon, David S. Doermann:
Mosaicing of camera-captured document images. Comput. Vis. Image Underst. 113(4): 572-579 (2009) - [j30]Tal Steinherz, David S. Doermann, Ehud Rivlin, Nathan Intrator:
Offline Loop Investigation for Handwriting Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 193-209 (2009) - [j29]Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stefan Jaeger:
Signature Detection and Matching for Document Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2015-2031 (2009) - [j28]Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann:
Language identification for handwritten document images using a shape codebook. Pattern Recognit. 42(12): 3184-3191 (2009) - [c126]Mudit Agrawal, David S. Doermann:
Clutter Noise Removal in Binary Document Images. ICDAR 2009: 556-560 - [c125]Guangyu Zhu, David S. Doermann:
Logo Matching for Document Image Retrieval. ICDAR 2009: 606-610 - [c124]Wael Abd-Almageed, Jayant Kumar, David S. Doermann:
Page Rule-Line Removal Using Linear Subspaces in Monochromatic Handwritten Arabic Documents. ICDAR 2009: 768-772 - [c123]Mudit Agrawal, David S. Doermann:
Voronoi++: A Dynamic Page Segmentation Approach Based on Voronoi and Docstrum Features. ICDAR 2009: 1011-1015 - 2008
- [j27]Xu Liu, David S. Doermann:
Mobile Retriever: access to digital documents from their physical source. Int. J. Document Anal. Recognit. 11(1): 19-27 (2008) - [j26]Jian Liang, Daniel DeMenthon, David S. Doermann:
Geometric Rectification of Camera-Captured Document Images. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 591-605 (2008) - [j25]Yi Li, Yefeng Zheng, David S. Doermann, Stefan Jaeger:
Script-Independent Text Line Segmentation in Freestyle Handwritten Documents. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1313-1329 (2008) - [j24]Xu Liu, David S. Doermann, Huiping Li:
VCode - Pervasive Data Transfer Using Video Barcode. IEEE Trans. Multim. 10(3): 361-371 (2008) - [c122]Mudit Agrawal, David S. Doermann:
Re-targetable OCR with Intelligent Character Segmentation. Document Analysis Systems 2008: 183-190 - [c121]Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann:
Learning Visual Shape Lexicon for Document Image Content Recognition. ECCV (2) 2008: 745-758 - [c120]Guangyu Zhu, Yefeng Zheng, David S. Doermann:
Signature-Based Document Image Retrieval. ECCV (3) 2008: 752-765 - [c119]Wael Abd-Almageed, Mudit Agrawal, Wontaek Seo, David S. Doermann:
Document-zone classification using partial least squares and hybrid classifiers. ICPR 2008: 1-4 - [c118]Xiaodong Yu, Daniel DeMenthon, David S. Doermann:
Support Vector Data Description for image categorization from Internet images. ICPR 2008: 1-4 - [c117]Xu Liu, David S. Doermann, Huiping Li:
Mobile Visual Aid Tools for Users with Visual Impairments. WMMP 2008: 21-36 - [c116]Xu Liu, David S. Doermann, Huiping Li, Kuo Chu Lee, Hasan Timucin Ozdemir, Lipin Liu:
A Novel 2D Marker Design and Application for Object Tracking and Event Detection. ISVC (1) 2008: 248-257 - [c115]Xu Liu, David S. Doermann, Huiping Li:
A camera-based mobile data channel: capacity and analysis. ACM Multimedia 2008: 359-368 - [p2]Stefan Jaeger, Huanfeng Ma, David S. Doermann:
Combining Classifiers with Informational Confidence. Machine Learning in Document Analysis and Recognition 2008: 163-191 - [p1]Sergey Tulyakov, Stefan Jaeger, Venu Govindaraju, David S. Doermann:
Review of Classifier Combination Methods. Machine Learning in Document Analysis and Recognition 2008: 361-386 - [e2]David S. Doermann, Stefan Jaeger:
Arabic and Chinese Handwriting Recognition - SACH 2006 Summit College Park, MD, USA, September 27-28, 2006 Selected Papers. Lecture Notes in Computer Science 4768, Springer 2008, ISBN 978-3-540-78198-1 [contents] - 2007
- [c114]Zhe Lin, Larry S. Davis, David S. Doermann, Daniel DeMenthon:
Simultaneous Appearance Modeling and Segmentation for Matching People Under Occlusion. ACCV (2) 2007: 404-413 - [c113]Xiaodong Yu, Li Yi, Cornelia Fermüller, David S. Doermann:
Object Detection Using Shape Codebook. BMVC 2007: 1-10 - [c112]Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stefan Jaeger:
Multi-scale Structural Saliency for Signature Detection. CVPR 2007 - [c111]Ryan Farrell, David S. Doermann, Larry S. Davis:
Learning Higher-order Transition Models in Medium-scale Camera Networks. ICCV 2007: 1-8 - [c110]Zhe Lin, Larry S. Davis, David S. Doermann, Daniel DeMenthon:
Hierarchical Part-Template Matching for Human Detection and Segmentation. ICCV 2007: 1-8 - [c109]Zhe Lin, Larry S. Davis, David S. Doermann, Daniel DeMenthon:
An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans. ICCV 2007: 1-8 - [c108]Guangyu Zhu, David S. Doermann:
Automatic Document Logo Detection. ICDAR 2007: 864-868 - [c107]Jari Hannuksela, Pekka Sangi, Janne Heikkilä, Xu Liu, David S. Doermann:
Document Image Mosaicing with Mobile Phones. ICIAP 2007: 575-582 - 2006
- [j23]Daniel DeMenthon, David S. Doermann:
Video retrieval of near-duplicates using kappa-nearest neighbor retrieval of spatio-temporal descriptors. Multim. Tools Appl. 30(3): 229-253 (2006) - [j22]Yefeng Zheng, David S. Doermann:
Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 643-649 (2006) - [c106]Guangyu Zhu, Stefan Jaeger, David S. Doermann:
A robust stamp detection framework on degraded documents. DRR 2006: 60670B - [c105]Stefan Jaeger, Guangyu Zhu, David S. Doermann, Kevin Chen, Summit Sampat:
DOCLIB: a software library for document processing. DRR 2006: 606709 - [c104]Burcu Karagol-Ayan, David S. Doermann, Amy Weinberg:
Adaptive Transformation-Based Learning for Improving Dictionary Tagging. EACL 2006 - [c103]Jian Liang, Daniel DeMenthon, David S. Doermann:
Camera-Based Document Image Mosaicing. ICPR (2) 2006: 476-479 - [c102]Yi Li, Yefeng Zheng, David S. Doermann:
Detecting Text Lines in Handwritten Documents. ICPR (2) 2006: 1030-1033 - [c101]Christian K. Shin, David S. Doermann:
Document Image Retrieval Based on Layout Structural Similarity. IPCV 2006: 606-612 - [c100]Xu Liu, David S. Doermann, Huiping Li:
Imaging as an alternative data channel for camera phones. MUM 2006: 5 - [c99]Burcu Karagol-Ayan, David S. Doermann, Amy Weinberg:
Morphology Induction from Limited Noisy Data Using Approximate String Matching. SIGMORPHON 2006: 60-68 - 2005
- [j21]Jian Liang, David S. Doermann, Huiping Li:
Camera-based analysis of text and documents: a survey. Int. J. Document Anal. Recognit. 7(2-3): 84-104 (2005) - [j20]Yefeng Zheng, Huiping Li, David S. Doermann:
A Parallel-Line Detection Algorithm Based on HMM Decoding. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 777-792 (2005) - [c98]John R. Smith, David S. Doermann, Amarnath Gupta, Jonathan Goldstein, Uri Shaft, Nalini K. Ratha:
Multimedia applications: beyond similarity searches. CVDB 2005: 71-72 - [c97]Jian Liang, Daniel DeMenthon, David S. Doermann:
Flattening Curved Documents in Images. CVPR (2) 2005: 338-345 - [c96]Huanfeng Ma, David S. Doermann:
Font identification using the grating cell texture operator. DRR 2005: 148-156 - [c95]Yang Yu, David S. Doermann:
Model of Object-Based Coding for Surveillance Video. ICASSP (2) 2005: 693-696 - [c94]Yefeng Zheng, David S. Doermann:
Robust Point Matching for Two-Dimensional Nonrigid Shapes. ICCV 2005: 1561-1566 - [c93]May Huang, Daniel DeMenthon, David S. Doermann, Lynn Golebiowski, Booz Allen Hamilton:
Document Ranking by Layout Relevance. ICDAR 2005: 362-366 - [c92]Stefan Jaeger, Huanfeng Ma, David S. Doermann:
Identifying Script onWord-Level with Informational Confidenc. ICDAR 2005: 416-420 - [c91]Huanfeng Ma, David S. Doermann:
Adaptive OCR with Limited User Feedback. ICDAR 2005: 814-818 - [c90]Yefeng Zheng, David S. Doermann:
Handwriting Matching and Its Application to Handwriting Synthesis. ICDAR 2005: 861-865 - [c89]Hee-Joong Kang, David S. Doermann:
Selection of Classifiers for the Construction of Multiple Classifier Systems. ICDAR 2005: 1194-1198 - [c88]Xu Liu, David S. Doermann, Huiping Li:
Fast camera motion estimation for hand-held devices and applications. MUM 2005: 103-108 - 2004
- [j19]Martí Balcells, Daniel DeMenthon, David S. Doermann:
An appearance-based approach for consistent labeling of humans and objects in video. Pattern Anal. Appl. 7(4): 373-385 (2004) - [j18]Yefeng Zheng, Huiping Li, David S. Doermann:
Machine Printed Text and Handwriting Identification in Noisy Document Images. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 337-353 (2004) - [j17]William Byrne, David S. Doermann, Martin Franz, Samuel Gustman, Jan Hajic, Douglas W. Oard, Michael Picheny, Josef Psutka, Bhuvana Ramabhadran, Dagobert Soergel, Todd Ward, Wei-Jing Zhu:
Automatic recognition of spontaneous speech for access to multilingual oral history archives. IEEE Trans. Speech Audio Process. 12(4): 420-435 (2004) - [c87]Nagia M. Ghanem, Daniel DeMenthon, David S. Doermann, Larry S. Davis:
Representation and Recognition of Events in Surveillance Video Using Petri Nets. CVPR Workshops 2004: 112 - [c86]Huanfeng Ma, David S. Doermann:
Word level script identification for scanned document images. DRR 2004: 124-135 - [c85]Hee-Joong Kang, David S. Doermann:
Product Approximation by Minimizing the Upper Bound of Bayes Error Rate for Bayesian Combination of Classifiers. ICPR (1) 2004: 252-255 - [c84]Huanfeng Ma, David S. Doermann:
Adaptive Word Style Classification Using a Gaussian Mixture Model. ICPR (2) 2004: 606-609 - [c83]Gang Zi, David S. Doermann:
Document Image Ground Truth Generation from Electronic Text. ICPR (2) 2004: 663-666 - [c82]Douglas W. Oard, Dagobert Soergel, David S. Doermann, Xiaoli Huang, G. Craig Murray, Jianqiang Wang, Bhuvana Ramabhadran, Martin Franz, Samuel Gustman, James Mayfield, Liliya Kharevych, Stephanie M. Strassel:
Building an information retrieval test collection for spontaneous conversational speech. SIGIR 2004: 41-48 - [c81]Nagia M. Ghanem, David S. Doermann, Larry S. Davis, Daniel DeMenthon:
Mining tools for surveillance video. Storage and Retrieval Methods and Applications for Multimedia 2004: 259-270 - [c80]Ming Luo, Daniel DeMenthon, David S. Doermann:
Shot Boundary Detection Using Pixel-To-Neighbor Image Differences in Video. TRECVID 2004 - [e1]David S. Doermann, Ramani Duraiswami:
Proceedings of the 3rd International Conference on Mobile and Ubiquitous Multimedia, MUM 2004, College Park, Maryland, USA, October 27-29, 2004. ACM International Conference Proceeding Series 83, ACM 2004, ISBN 1-58113-981-0 [contents] - 2003
- [j16]Huanfeng Ma, David S. Doermann:
Adaptive Hindi OCR using generalized Hausdorff image comparison. ACM Trans. Asian Lang. Inf. Process. 2(3): 193-218 (2003) - [c79]Yefeng Zheng, Huiping Li, David S. Doermann:
Background Line Detection with A Stochastic Model. CVPR Workshops 2003: 23 - [c78]Huanfeng Ma, David S. Doermann:
Bootstrapping structured page segmentation. DRR 2003: 179-188 - [c77]Jian Liang, David S. Doermann:
Content features for logical document labeling. DRR 2003: 189-196 - [c76]Hee-Joong Kang, David S. Doermann:
Combining Multiple Classifiers based on Third-Order Dependency. ICDAR 2003: 21-25 - [c75]Yefeng Zheng, Huiping Li, David S. Doermann:
A Model-based Line Detection Algorithm in Documents. ICDAR 2003: 44-48 - [c74]Yefeng Zheng, Huiping Li, David S. Doermann:
Text Identification in Noisy Document Images Using Markov Random Field. ICDAR 2003: 599- - [c73]David S. Doermann, Jian Liang, Huiping Li:
Progress in Camera-Based Document Image Analysis. ICDAR 2003: 606- - [c72]Hee-Joong Kang, David S. Doermann:
Evaluation of the Information-Theoretic Construction of Multiple Classifier Systems. ICDAR 2003: 789-793 - [c71]Huanfeng Ma, David S. Doermann:
Gabor Filter Based Multi-class Classifier for Scanned Document Images. ICDAR 2003: 968-972 - [c70]Marti Balcells Capellades, David S. Doermann, Daniel DeMenthon, Rama Chellappa:
An appearance based approach for human and object tracking. ICIP (2) 2003: 85-88 - [c69]David S. Doermann, Arvind Karunanidhi, Niketu Parekh, M. A. Khan, S. Chen, Hasan Timucin Ozdemir, M. Miwa, Kuo Chu Lee:
Issues in the transmission, analysis, storage and retrieval of surveillance video. ICME 2003: 161-164 - [c68]Xavier Gibert, Huiping Li, David S. Doermann:
Sports video classification using HMMS. ICME 2003: 345-348 - [c67]Daniel DeMenthon, David S. Doermann:
Video retrieval using spatio-temporal descriptors. ACM Multimedia 2003: 508-517 - [c66]Burcu Karagol-Ayan, David S. Doermann, Bonnie J. Dorr:
Acquisition of bilingual MT lexicons from OCRed dictionaries. MTSummit 2003 - [c65]Douglas W. Oard, David S. Doermann, Bonnie J. Dorr, Daqing He, Philip Resnik, Amy Weinberg, William J. Byrne, Sanjeev Khudanpur, David Yarowsky, Anton Leuski, Philipp Koehn, Kevin Knight:
Desparately Seeking Cebuano. HLT-NAACL 2003 - [c64]Christian K. Shin, David S. Doermann, Azriel Rosenfeld:
Measuring Structural Similarity of Document Pages for Searching Document Image Databases. SIP 2003: 320-325 - 2002
- [c63]Huiping Li, David S. Doermann:
Video indexing and retrieval based on recognized text. IEEE Workshop on Multimedia Signal Processing 2002: 245-248 - [c62]Yefeng Zheng, Huiping Li, David S. Doermann:
The Segmentation and Identification of Handwriting in Noisy Document Images. Document Analysis Systems 2002: 95-105 - [c61]Jian Liang, David S. Doermann:
Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning. Document Analysis Systems 2002: 224-235 - [c60]David S. Doermann, Huanfeng Ma, Burcu Karagol-Ayan, Douglas W. Oard:
Translation lexicon acquisition from bilingual dictionaries. Document Recognition and Retrieval 2002: 37-48 - [c59]Huiping Li, David S. Doermann:
Text quality estimation in video. Document Recognition and Retrieval 2002: 232-243 - [c58]Alan F. Smeaton, Paul Over, Cash Costello, Arjen P. de Vries, David S. Doermann, Alexander G. Hauptmann, Mark E. Rorvig, John R. Smith, Lide Wu:
The TREC2001 Video Track: Information Retrieval on Digital Video Information. ECDL 2002: 266-275 - [c57]David S. Doermann, Nathan Intrator, Ehud Rivlin, Tal Steinherz:
Hidden loop recovery for handwriting recognition. IWFHR 2002: 375-380 - [c56]Christian Wolf, David S. Doermann:
Binarization of Low Quality Text Using a Markov Random Field Model. ICPR (3) 2002: 160-163 - [c55]Puneet Gupta, David S. Doermann, Daniel DeMenthon:
Beam Search for Feature Selection in Automatic SVM Defect Classification. ICPR (2) 2002: 212-215 - [c54]Mika Rautiainen, David S. Doermann:
Temporal Color Correlograms for Video Retrieval. ICPR (1) 2002: 267-270 - [c53]Jian Liang, David S. Doermann, Matthew Y. Ma, Jinhong Katherine Guo:
Page Classification through Logical Labelling. ICPR (3) 2002: 477-480 - [c52]Vladimir Y. Mariano, Junghye Min, Jin Hyeong Park, Rangachar Kasturi, David Mihalcik, Huiping Li, David S. Doermann, Thomas Drayer:
Performance Evaluation of Object Detection Algorithms. ICPR (3) 2002: 965-969 - [c51]Christian Wolf, David S. Doermann, Mika Rautiainen:
Video Indexing and Retrieval at UMD. TREC 2002 - 2001
- [j15]Christian K. Shin, David S. Doermann, Azriel Rosenfeld:
Classification of document pages using structure-based features. Int. J. Document Anal. Recognit. 3(4): 232-247 (2001) - [j14]Jinhong Katherine Guo, David S. Doermann, Azriel Rosenfeld:
Forgery Detection by Local Correspondence. Int. J. Pattern Recognit. Artif. Intell. 15(4): 579-641 (2001) - [c50]Yuan (Alan) Qi, David S. Doermann, Daniel DeMenthon:
Hybrid independent component analysis and support vector machine learning scheme for face detection. ICASSP 2001: 1481-1484 - [c49]Kareem Darwish, David S. Doermann, Ryan C. Jones, Douglas W. Oard, Mika Rautiainen:
TREC-10 Experiments at University of Maryland CLIR and Video. TREC 2001 - 2000
- [j13]Huiping Li, David S. Doermann, Omid E. Kia:
Automatic text detection and tracking in digital video. IEEE Trans. Image Process. 9(1): 147-156 (2000) - [j12]Omid E. Kia, David S. Doermann:
Residual coding in document image compression. IEEE Trans. Image Process. 9(6): 961-969 (2000) - [c48]Christian K. Shin, David S. Doermann:
Classification of document page images based on visual similarity of layout structures. Document Recognition and Retrieval 2000: 182-190 - [c47]Antti Koivisto, Pekka Pietikäinen, Jaakko J. Sauvola, David S. Doermann:
Live Multimedia Adaptation Through Wireless Hybrid Networks. IEEE International Conference on Multimedia and Expo (III) 2000: 1697-1700 - [c46]Kyongil Yoon, Daniel DeMenthon, David S. Doermann:
Event Detection from MPEG Video in the Compressed Domain. ICPR 2000: 1819-1822 - [c45]Huiping Li, David S. Doermann:
Superresolution-Based Enhancement of Text in Digital Video. ICPR 2000: 1847-1850 - [c44]Huiping Li, David S. Doermann:
A Video Text Detection System Based on Automated Training. ICPR 2000: 2223-2228 - [c43]Jinhong Katherine Guo, David S. Doermann, Azriel Rosenfeld:
Off-Line Skilled Forgery Detection Using Stroke and Sub-Stroke Properties. ICPR 2000: 2355-2358 - [c42]Daniel DeMenthon, David S. Doermann, Marc Vuilleumier Stückelberg:
Image Distance Using Hidden Markov Models. ICPR 2000: 3147-3150 - [c41]David S. Doermann, David Mihalcik:
Tools and Techniques for Video Performance Evaluation. ICPR 2000: 4167-4170 - [c40]Vikrant Kobla, Daniel DeMenthon, David S. Doermann:
Identifying sports videos using replay, text, and camera motion features. Storage and Retrieval for Media Databases 2000: 332-343
1990 – 1999
- 1999
- [c39]Huiping Li, Omid E. Kia, David S. Doermann:
Text enhancement in digital video. Document Recognition and Retrieval 1999: 2-9 - [c38]Marc Vuilleumier Stückelberg, David S. Doermann:
Model-Based Graphics Recognition. GREC 1999: 121-132 - [c37]Marc Vuilleumier Stückelberg, David S. Doermann:
On Musical Score Recognition using Probabilistic Reasoning. ICDAR 1999: 115-118 - [c36]Xingyuan Li, Wen Gao, David S. Doermann, Weon-Geun Oh:
A Robust Method for Unknown Forms Analysis. ICDAR 1999: 531-534 - [c35]Omid E. Kia, Jaakko J. Sauvola, David S. Doermann:
Network-Diffused Media Scaling for Multimedia Content Services. IDMS 1999: 149-162 - [c34]Huiping Li, David S. Doermann:
Text enhancement in digital video using multiple frame integration. ACM Multimedia (1) 1999: 19-22 - [c33]Ryan C. Jones, Daniel DeMenthon, David S. Doermann:
Building mosaics from video using MPEG motion vectors. ACM Multimedia (2) 1999: 29-32 - [c32]Vikrant Kobla, Daniel DeMenthon, David S. Doermann:
Detection of slow-motion replay sequences for identifying sports videos. MMSP 1999: 135-140 - [c31]Vikrant Kobla, Daniel DeMenthon, David S. Doermann:
Special-effect edit detection using VideoTrails: a comparison with existing techniques. Storage and Retrieval for Image and Video Databases (SPIE) 1999: 302-315 - 1998
- [j11]David S. Doermann:
The Indexing and Retrieval of Document Images: A Survey. Comput. Vis. Image Underst. 70(3): 287-298 (1998) - [j10]Omid E. Kia, David S. Doermann, Azriel Rosenfeld, Rama Chellappa:
Symbolic Compression and Processing of Document Images. Comput. Vis. Image Underst. 70(3): 335-349 (1998) - [j9]David S. Doermann, Seong-Whan Lee, Sargur N. Srihari, Karl Tombre, Azriel Rosenfeld:
Editorial. Int. J. Document Anal. Recognit. 1(1): 1-2 (1998) - [j8]David S. Doermann, Ehud Rivlin, Azriel Rosenfeld:
The function of documents. Image Vis. Comput. 16(11): 799-814 (1998) - [j7]David S. Doermann, Huiping Li, Omid E. Kia:
The detection of duplicates in document image databases. Image Vis. Comput. 16(12-13): 907-920 (1998) - [j6]Vikrant Kobla, David S. Doermann:
Indexing and retrieval of the MPEG compressed video. J. Electronic Imaging 7(2): 294-307 (1998) - [j5]Omid E. Kia, David S. Doermann:
Document Image Coding for Processing and Retrieval. J. VLSI Signal Process. 20(1-2): 121-135 (1998) - [c30]Huiping Li, David S. Doermann, Omid E. Kia:
Text Extraction, Enhancement and OCR in Digital Video. Document Analysis Systems 1998: 363-377 - [c29]Huiping Li, David S. Doermann:
Automatic identification of text in digital video key frames. ICPR 1998: 129-132 - [c28]Daniel DeMenthon, Vikrant Kobla, David S. Doermann:
Video Summarization by Curve Simplification. ACM Multimedia 1998: 211-218 - [c27]Huiping Li, David S. Doermann:
Automatic text tracking in digital videos. MMSP 1998: 21-26 - [c26]Vikrant Kobla, David S. Doermann, Christos Faloutsos:
Developing High-Level Representations of Video Clips using VideoTrails. Storage and Retrieval for Image and Video Databases (SPIE) 1998: 81-92 - 1997
- [j4]Kamran Etemad, David S. Doermann, Rama Chellappa:
Multiscale Segmentation of Unstructured Document Pages Using Soft Decision Integration. IEEE Trans. Pattern Anal. Mach. Intell. 19(1): 92-96 (1997) - [c25]Jaakko J. Sauvola, Hannu Kauniskangas, David S. Doermann, Matti Pietikäinen:
Techniques for the Automated Testing of Document Analysis Algorithms. BSDIA 1997: 201-212 - [c24]Jaakko J. Sauvola, Hannu Kauniskangas, David S. Doermann, Christian K. Shin, M. Koivusaari, Matti Pietikäinen:
Graphical Tools and Techniques for Querying Document Image Databases. BSDIA 1997: 213-224 - [c23]Jaakko J. Sauvola, David S. Doermann, Matti Pietikäinen:
Locally adaptive document skew detection. Document Recognition 1997: 96-108 - [c22]David S. Doermann:
An Introduction to Vectorization and Segmentation. GREC 1997: 1-8 - [c21]David S. Doermann, Huiping Li, Omid E. Kia:
The Detection of Duplicates in Document Image Databases. ICDAR 1997: 314-318 - [c20]Jinhong Katherine Guo, David S. Doermann, Azriel Rosenfeld:
Local correspondence for detecting random forgeries. ICDAR 1997: 319-323 - [c19]David S. Doermann:
The Retrieval of Document Images: A Brief Survey. ICDAR 1997: 945-949 - [c18]Jaakko J. Sauvola, Sami Haapakoski, Hannu Kauniskangas, Tapio Seppänen, Matti Pietikäinen, David S. Doermann:
A distributed management system for testing document image analysis algorithms. ICDAR 1997: 989-995 - [c17]David S. Doermann, Azriel Rosenfeld, Ehud Rivlin:
The Function of Documents. ICDAR 1997: 1077-1081 - [c16]Omid E. Kia, David S. Doermann:
OCR-based rate-distortion analysis of residual coding. ICIP (3) 1997: 690-693 - [c15]Vikrant Kobla, David S. Doermann, Christos Faloutsos:
VideoTrails: Representing and Visualizing Structure in Video Sequences. ACM Multimedia 1997: 335-346 - [c14]Omid E. Kia, David S. Doermann:
The role of compressed document images in transmission and retrieval. MMSP 1997: 331-336 - [c13]Vikrant Kobla, David S. Doermann:
Extraction of features for indexing MPEG-compressed video. MMSP 1997: 337-342 - [c12]Vikrant Kobla, David S. Doermann, King-Ip Lin, Christos Faloutsos:
Compressed-Domain Video Indexing Techniques Using DCT and Motion Vector Information in MPEG Video. Storage and Retrieval for Image and Video Databases (SPIE) 1997: 200-211 - 1996
- [j3]David S. Doermann, Ehud Rivlin, Isaac Weiss:
Applying algebraic and differential invariants for logo recognition. Mach. Vis. Appl. 9(2): 73-86 (1996) - [c11]David S. Doermann, Jaakko J. Sauvola, Hannu Kauniskangas, Christian K. Shin, Matti Pietikäinen, Azriel Rosenfeld:
The Development of a General Framework for Intelligent Document Image Retrieval. DAS 1996: 433-460 - [c10]Omid E. Kia, David S. Doermann:
Structure-preserving document image compression. ICIP (1) 1996: 193-196 - [c9]Omid E. Kia, David S. Doermann:
Structural compression for document analysis. ICPR 1996: 664-668 - 1995
- [j2]David S. Doermann, Azriel Rosenfeld:
Recovery of temporal information from static images of handwriting. Int. J. Comput. Vis. 15(1-2): 143-164 (1995) - [c8]Osamu Hori, David S. Doermann:
Quantitative Measurement of the Performance of Raster-to-Vector Conversion Algorithms. GREC 1995: 57-68 - [c7]Osamu Hori, David S. Doermann:
Robust table-form structure analysis based on box-driven reasoning. ICDAR 1995: 218-221 - 1994
- [j1]David S. Doermann, Venugopal Varma, Azriel Rosenfeld:
Instrument grasp: a model and its effects on handwritten strokes. Pattern Recognit. 27(2): 233-245 (1994) - [c6]Kamran Etemad, David S. Doermann, Rama Chellappa:
Page segmentation using decision integration and wavelet packets. ICPR (2) 1994: 345-349 - 1993
- [c5]David S. Doermann, Azriel Rosenfeld:
The processing of form documents. ICDAR 1993: 497-501 - [c4]David S. Doermann, Richard Furuta:
Image based typographic analysis of documents. ICDAR 1993: 769-773 - [c3]David S. Doermann, Ehud Rivlin, Isaac Weiss:
Logo recognition using geometric invariants. ICDAR 1993: 894-897 - 1992
- [c2]David S. Doermann, Azriel Rosenfeld:
Recovery of temporal information from static images of handwriting. CVPR 1992: 162-168 - [c1]David S. Doermann, Azriel Rosenfeld:
Temporal clues in handwriting. ICPR (2) 1992: 317-320
Coauthor Index
[b1] [c230] [c227] [j61] [j60] [i46] [i36] [j57] [j54] [j52] [j51] [j50] [c215] [c212] [i35] [j49] [j48] [j47] [j44] [c211] [c209] [c207] [c205] [c202] [c201] [i29] [i27] [i26] [i25] [i21] [j42] [c200] [c199] [c198] [c197] [c196] [c194] [c192] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [c191] [c190] [c188] [c187] [c186] [c184] [i12] [i11] [i10] [i9] [i8] [i7]
Lian Zhuo
aka: Li'an Zhuo
aka: Li'an Zhuo
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