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2020 – today
- 2024
[j39]Linran Sun, Nojun Kwak:
Visual Communication Design Method in Folk Art Based on Multimedia Data Transmission Technology. Int. J. Inf. Syst. Supply Chain Manag. 17: 1-19 (2024)- [j38]Jiyong Oh
, Nojun Kwak:
Discriminative subspace learning using generalized mean. Signal Process. 219: 109421 (2024) - [c105]Junhoo Lee, Yearim Kim, Hyunho Lee, Nojun Kwak:
Any-Way Meta Learning. AAAI 2024: 13400-13408 - [c104]Hyeonjin Kim, Min Kim, Jae Jang, KiYoon Yoo, Nojun Kwak:
TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis. ClinicalNLP@NAACL 2024: 334-338 - [c103]Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun:
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CVPR Workshops 2024: 7356-7365 - [c102]Hojun Lee, Suyoung Kim, Junhoo Lee, Jaeyoung Yoo, Nojun Kwak:
Coreset Selection for Object Detection. CVPR Workshops 2024: 7682-7691 - [c101]Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, Nojun Kwak:
What, How, and When Should Object Detectors Update in Continually Changing Test Domains? CVPR 2024: 23354-23363 - [c100]Yeji Song, Wonsik Shin, Junsoo Lee, Jeesoo Kim, Nojun Kwak:
SAVE: Protagonist Diversification with Structure Agnostic Video Editing. ECCV (80) 2024: 41-57 - [c99]Donghoon Han, Eunhwan Park, Gisang Lee, Adam Lee, Nojun Kwak:
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline. EMNLP (Industry Track) 2024: 547-562 - [c98]Sangyu Han, Yearim Kim, Nojun Kwak:
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition. ICLR 2024 - [c97]KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak:
Advancing Beyond Identification: Multi-bit Watermark for Large Language Models. NAACL-HLT 2024: 4031-4055 - [c96]Yeonjin Chang, Yearim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak:
Fast Sun-aligned Outdoor Scene Relighting based on TensoRF. WACV 2024: 3614-3624 - [i109]Junhoo Lee, Yearim Kim, Hyunho Lee, Nojun Kwak:
Any-Way Meta Learning. CoRR abs/2401.05097 (2024) - [i108]Sangyu Han, Yearim Kim, Nojun Kwak:
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition. CoRR abs/2402.03348 (2024) - [i107]Inseop Chung, Kyomin Hwang, Jayeon Yoo, Nojun Kwak:
Mitigating the Bias in the Model for Continual Test-Time Adaptation. CoRR abs/2403.01344 (2024) - [i106]Seunghyeon Seo, Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak:
HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering. CoRR abs/2403.10906 (2024) - [i105]Yeji Song, Jimyeong Kim, Wonhark Park, Wonsik Shin, Wonjong Rhee, Nojun Kwak:
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization. CoRR abs/2403.14155 (2024) - [i104]Junhoo Lee, Hyunho Lee, Kyomin Hwang, Nojun Kwak:
Deep Support Vectors. CoRR abs/2403.17329 (2024) - [i103]Donghoon Han, Seunghyeon Seo, Eunhwan Park, Seong-Uk Nam, Nojun Kwak:
Unleash the Potential of CLIP for Video Highlight Detection. CoRR abs/2404.01745 (2024) - [i102]Jooyoung Jang, Youngseo Cha, Jisu Kim, SooHyung Lee, Geonu Lee, Minkook Cho, Young K. Hwang, Nojun Kwak:
Semi-Supervised Domain Adaptation for Wildfire Detection. CoRR abs/2404.01842 (2024) - [i101]Hojun Lee, Suyoung Kim, Junhoo Lee, Jaeyoung Yoo, Nojun Kwak:
Coreset Selection for Object Detection. CoRR abs/2404.09161 (2024) - [i100]Kyomin Hwang, Suyoung Kim, JunHoo Lee, Nojun Kwak:
Do not think pink elephant! CoRR abs/2404.15154 (2024) - [i99]Hyunho Lee, Junhoo Lee, Nojun Kwak:
Practical Dataset Distillation Based on Deep Support Vectors. CoRR abs/2405.00348 (2024) - [i98]Donghoon Han, Eunhwan Park, Gisang Lee, Adam Lee, Nojun Kwak:
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline. CoRR abs/2407.12508 (2024) - [i97]Yearim Kim, Sangyu Han, Sangbum Han, Nojun Kwak:
Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG). CoRR abs/2409.01610 (2024) - [i96]Jookyung Song, Mookyoung Kang, Nojun Kwak:
SketcherX: AI-Driven Interactive Robotic drawing with Diffusion model and Vectorization Techniques. CoRR abs/2409.15292 (2024) - 2023
- [j37]Seonguk Park, Jookyung Song, Donghoon Han, Nojun Kwak:
Correlation-Concealing Adversarial Noise Injection for Improved Disentanglement in Label-Based Image Translation. IEEE Access 11: 23896-23908 (2023) - [j36]Saem Park, Geunjae Choi, Seonguk Park, Nojun Kwak:
Dual-Stage Super-Resolution for Edge Devices. IEEE Access 11: 123798-123806 (2023) - [j35]Hye-min Won, Yong Seok Heo, Nojun Kwak:
Image Recommendation System Based on Environmental and Human Face Information. Sensors 23(11): 5304 (2023) - [c95]Jiho Jang, Chaerin Kong, Donghyeon Jeon, Seonhoon Kim, Nojun Kwak:
Unifying Vision-Language Representation Space with Single-Tower Transformer. AAAI 2023: 980-988 - [c94]KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak:
Robust Multi-bit Natural Language Watermarking through Invariant Features. ACL (1) 2023: 2092-2115 - [c93]Seunghyeon Seo, Donghoon Han, Yeonjin Chang, Nojun Kwak:
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs. CVPR 2023: 20659-20668 - [c92]Jookyung Song, Yeonjin Chang, Seonguk Park, Nojun Kwak:
Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation. ICASSP 2023: 1-5 - [c91]Seunghyeon Seo, Yeonjin Chang, Nojun Kwak:
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis. ICCV 2023: 22826-22836 - [c90]Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak:
End-to-End Multi-Object Detection with a Regularized Mixture Model. ICML 2023: 40093-40110 - [c89]Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak:
Finding Efficient Pruned Network via Refined Gradients for Pruned Weights. ACM Multimedia 2023: 9003-9011 - [c88]Junhoo Lee, Jayeon Yoo, Nojun Kwak:
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning. NeurIPS 2023 - [c87]Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak:
MDPose: real-time multi-person pose estimation via mixture density model. UAI 2023: 1868-1878 - [c86]Inseop Chung, Jayeon Yoo, Nojun Kwak:
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation. WACV (Workshops) 2023: 12-21 - [c85]Chaerin Kong, Dong Hyeon Jeon, Ohjoon Kwon, Nojun Kwak:
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation. WACV 2023: 848-857 - [c84]Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak:
Self-Distilled Self-supervised Representation Learning. WACV 2023: 2828-2838 - [i95]Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak:
MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model. CoRR abs/2302.08751 (2023) - [i94]Seunghyeon Seo, Donghoon Han, Yeonjin Chang, Nojun Kwak:
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs. CoRR abs/2302.08788 (2023) - [i93]Chaerin Kong, Nojun Kwak:
Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance. CoRR abs/2302.10305 (2023) - [i92]Jaeseung Lim, Jongkeun Na, Nojun Kwak:
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency. CoRR abs/2303.08978 (2023) - [i91]KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, Nojun Kwak:
Robust Natural Language Watermarking through Invariant Features. CoRR abs/2305.01904 (2023) - [i90]Seungwoo Lee, Chaerin Kong, Donghyeon Jeon, Nojun Kwak:
AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion. CoRR abs/2305.04001 (2023) - [i89]Seunghyeon Seo, Yeonjin Chang, Nojun Kwak:
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis. CoRR abs/2306.17723 (2023) - [i88]KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak:
Advancing Beyond Identification: Multi-bit Watermark for Language Models. CoRR abs/2308.00221 (2023) - [i87]Donghoon Han, Seunghyeon Seo, Donghyeon Jeon, Jiho Jang, Chaerin Kong, Nojun Kwak:
ConcatPlexer: Additional Dim1 Batching for Faster ViTs. CoRR abs/2308.11199 (2023) - [i86]Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Woo-Young Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun:
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CoRR abs/2309.01961 (2023) - [i85]Junhoo Lee, Jayeon Yoo, Nojun Kwak:
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning. CoRR abs/2310.02751 (2023) - [i84]Yeonjin Chang, Yerim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak:
Fast Sun-aligned Outdoor Scene Relighting based on TensoRF. CoRR abs/2311.03965 (2023) - [i83]Yeji Song, Wonsik Shin, Junsoo Lee, Jeesoo Kim, Nojun Kwak:
SAVE: Protagonist Diversification with Structure Agnostic Video Editing. CoRR abs/2312.02503 (2023) - [i82]Inseop Chung, KiYoon Yoo, Nojun Kwak:
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features. CoRR abs/2312.05141 (2023) - [i81]Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, Nojun Kwak:
What, How, and When Should Object Detectors Update in Continually Changing Test Domains? CoRR abs/2312.08875 (2023) - 2022
- [j34]Jaeseok Choi, Yeji Song, Yerim Kim, Jaeyoung Yoo, Nojun Kwak:
MD3D: Mixture-Density-Based 3D Object Detection in Point Clouds. IEEE Access 10: 104011-104022 (2022) - [j33]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Model Compression via Position-Based Scaled Gradient. IEEE Access 10: 133828-133841 (2022) - [j32]Hye-min Won, Hyeogjin Lee, Gyuwon Song, Yeonghun Kim, Nojun Kwak:
Reliable Data Collection Methodology for Face Recognition in Preschool Children. Sensors 22(15): 5842 (2022) - [c83]KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak:
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. ACL (Findings) 2022: 3656-3672 - [c82]Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee:
Towards Efficient Neural Scene Graphs by Learning Consistency Fields. BMVC 2022: 302 - [c81]Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak:
Imposing Consistency for Optical Flow Estimation. CVPR 2022: 3171-3181 - [c80]Gyutae Park, Sungjoon Son, Jaeyoung Yoo, Seho Kim, Nojun Kwak:
MatteFormer: Transformer-Based Image Matting via Prior-Tokens. CVPR 2022: 11686-11696 - [c79]Jongmok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak:
MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection. CVPR 2022: 14492-14501 - [c78]Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak:
Few-Shot Image Generation with Mixup-Based Distance Learning. ECCV (15) 2022: 563-580 - [c77]Jayeon Yoo, Inseop Chung, Nojun Kwak:
Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box. ECCV (33) 2022: 691-708 - [c76]KiYoon Yoo, Nojun Kwak:
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. EMNLP 2022: 72-88 - [c75]Jangho Kim, Juntae Lee, Simyung Chang, Nojun Kwak:
Variational On-the-Fly Personalization. ICML 2022: 11134-11147 - [c74]Saem Park, Donghoon Han, Nojun Kwak:
The U-Net based GLOW for Optical-Flow-Free Video Interframe Generation. ICPRAM 2022: 80-89 - [c73]Hyeondey Kim, Seonhoon Kim, Inho Kang, Nojun Kwak, Pascale Fung:
Korean Language Modeling via Syntactic Guide. LREC 2022: 2841-2849 - [c72]Hojun Lee, Myunggi Lee, Nojun Kwak:
Few-Shot Object Detection by Attending to Per-Sample-Prototype. WACV 2022: 1101-1110 - [c71]Inseop Chung, Daesik Kim, Nojun Kwak:
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation. WACV 2022: 1979-1988 - [c70]John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. WACV 2022: 2703-2713 - [i80]KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak:
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. CoRR abs/2203.01677 (2022) - [i79]Jongmok Kim, Hwijun Lee, Jaeseung Lim, Jongkeun Na, Nojun Kwak, Jin Young Choi:
Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation. CoRR abs/2203.07837 (2022) - [i78]Gyutae Park, Sungjoon Son, Jaeyoung Yoo, Seho Kim, Nojun Kwak:
MatteFormer: Transformer-Based Image Matting via Prior-Tokens. CoRR abs/2203.15662 (2022) - [i77]Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak:
Imposing Consistency for Optical Flow Estimation. CoRR abs/2204.07262 (2022) - [i76]KiYoon Yoo, Nojun Kwak:
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. CoRR abs/2204.14017 (2022) - [i75]Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak:
Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching. CoRR abs/2205.08714 (2022) - [i74]Jayeon Yoo, Inseop Chung, Nojun Kwak:
Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding Box. CoRR abs/2207.09656 (2022) - [i73]Chaerin Kong, Nojun Kwak:
Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis. CoRR abs/2207.14491 (2022) - [i72]Jookyung Song, Yeonjin Chang, Seonguk Park, Nojun Kwak:
Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation. CoRR abs/2209.14479 (2022) - [i71]Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee:
Towards Efficient Neural Scene Graphs by Learning Consistency Fields. CoRR abs/2210.04127 (2022) - [i70]Chaerin Kong, Dong Hyeon Jeon, Ohjoon Kwon, Nojun Kwak:
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation. CoRR abs/2210.05872 (2022) - [i69]Jiho Jang, Chaerin Kong, Donghyeon Jeon, Seonhoon Kim, Nojun Kwak:
Unifying Vision-Language Representation Space with Single-tower Transformer. CoRR abs/2211.11153 (2022) - 2021
- [j31]Saem Park, Nojun Kwak:
Recurrently-Trained Super-Resolution. IEEE Access 9: 23191-23201 (2021) - [j30]Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak:
Adaptive Template and Transition Map for Real-Time Video Object Segmentation. IEEE Access 9: 116914-116926 (2021) - [j29]Dongsuk Park, Seungeui Lee, Seonguk Park, Nojun Kwak:
Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks. Sensors 21(1): 210 (2021) - [c69]Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak:
Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA. AAAI 2021: 13171-13179 - [c68]Jamie Menjay Lin, Parham Noorzad, Yang Yang, Nojun Kwak, Fatih Porikli:
Phase Selective Convolution. CVPR Workshops 2021: 3199-3208 - [c67]Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak:
Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. CVPR 2021: 8405-8414 - [c66]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-Based Semi-Supervised Learning for Object Detection. CVPR 2021: 11602-11611 - [c65]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-Based Personalized Pruning. ICASSP 2021: 3925-3929 - [c64]Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak:
LFI-CAM: Learning Feature Importance for Better Visual Explanation. ICCV 2021: 1335-1343 - [c63]Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. ICCV 2021: 3407-3416 - [c62]Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak:
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image. ICCV 2021: 3417-3426 - [c61]Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak:
Vehicle Image Generation Going Well with the Surroundings. ICONIP (4) 2021: 63-74 - [c60]Jangho Kim, Simyung Chang, Nojun Kwak:
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. Interspeech 2021: 4568-4572 - [c59]Jaeseok Choi, Yeji Song, Nojun Kwak:
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud. IROS 2021: 3391-3397 - [i68]Seohyeong Jeong, Nojun Kwak:
Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer. CoRR abs/2102.09727 (2021) - [i67]Inseop Chung, Daesik Kim, Nojun Kwak:
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2102.13002 (2021) - [i66]Saem Park, Donghun Han, Nojun Kwak:
The Invertible U-Net for Optical-Flow-free Video Interframe Generation. CoRR abs/2103.09576 (2021) - [i65]Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak:
Prototype-based Personalized Pruning. CoRR abs/2103.15564 (2021) - [i64]Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak:
LFI-CAM: Learning Feature Importance for Better Visual Explanation. CoRR abs/2105.00937 (2021) - [i63]Jangho Kim, Simyung Chang, Nojun Kwak:
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. CoRR abs/2106.14681 (2021) - [i62]Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. CoRR abs/2107.13221 (2021) - [i61]Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak:
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. CoRR abs/2109.04660 (2021) - [i60]Hojun Lee, Myunggi Lee, Nojun Kwak:
Few-Shot Object Detection by Attending to Per-Sample-Prototype. CoRR abs/2109.07734 (2021) - [i59]Simyung Chang, KiYoon Yoo, Jiho Jang, Nojun Kwak:
Self-Evolutionary Optimization for Pareto Front Learning. CoRR abs/2110.03461 (2021) - [i58]Inseop Chung, Jayeon Yoo, Nojun Kwak:
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation. CoRR abs/2110.10916 (2021) - [i57]John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. CoRR abs/2111.06500 (2021) - [i56]Jongmok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak:
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection. CoRR abs/2111.10958 (2021) - [i55]Seonguk Park, Nojun Kwak:
Local-Selective Feature Distillation for Single Image Super-Resolution. CoRR abs/2111.10988 (2021) - [i54]Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak:
Smoothing the Generative Latent Space with Mixup-based Distance Learning. CoRR abs/2111.11672 (2021) - [i53]Jiho Jang, Seonhoon Kim, KiYoon Yoo, Jangho Kim, Nojun Kwak:
Self-Distilled Self-Supervised Representation Learning. CoRR abs/2111.12958 (2021) - 2020
- [j28]Jihye Hwang, John Yang, Nojun Kwak:
Exploring Rare Pose in Human Pose Estimation. IEEE Access 8: 194964-194977 (2020) - [j27]Jieun Lee, Hyeogjin Lee, Minsik Lee, Nojun Kwak:
Nonparametric Estimation of Probabilistic Membership for Subspace Clustering. IEEE Trans. Cybern. 50(3): 1023-1036 (2020) - [c58]Sang-Ho Lee, Simyung Chang, Nojun Kwak:
URNet: User-Resizable Residual Networks with Conditional Gating Module. AAAI 2020: 4569-4576 - [c57]Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak:
Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction. AAAI 2020: 11246-11253 - [c56]Jangho Kim, Jeesoo Kim, Nojun Kwak:
StackNet: Stacking feature maps for Continual learning. CVPR Workshops 2020: 975-982 - [c55]Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak:
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CVPR Workshops 2020: 2978-2985 - [c54]Seonguk Park, Nojun Kwak:
Feature-Level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks. ECAI 2020: 1411-1418 - [c53]Sungheon Park, Minsik Lee, Nojun Kwak:
Procrustean Regression Networks: Learning 3D Structure of Non-rigid Objects from 2D Annotations. ECCV (29) 2020: 1-18 - [c52]John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak:
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation. ECCV (12) 2020: 122-139 - [c51]Jaeyoung Yoo, Hojun Lee, Nojun Kwak:
Unpriortized Autoencoder For Image Generation. ICIP 2020: 763-767 - [c50]Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak:
Kl-Divergence-Based Region Proposal Network For Object Detection. ICIP 2020: 2001-2005 - [c49]Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak:
Feature-map-level Online Adversarial Knowledge Distillation. ICML 2020: 2006-2015 - [c48]Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak:
Feature Fusion for Online Mutual Knowledge Distillation. ICPR 2020: 4619-4625 - [c47]Jisoo Jeong, Seungeui Lee, Nojun Kwak:
Self-Training using Selection Network for Semi-supervised Learning. ICPRAM 2020: 23-32 - [c46]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Position-based Scaled Gradient for Model Quantization and Pruning. NeurIPS 2020 - [c45]Hyojin Park, Lars Lowe Sjösund, Young Joon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak:
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. WACV 2020: 2055-2063 - [i52]Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak:
Feature-map-level Online Adversarial Knowledge Distillation. CoRR abs/2002.01775 (2020) - [i51]Minsung Hyun, Jisoo Jeong, Nojun Kwak:
Class-Imbalanced Semi-Supervised Learning. CoRR abs/2002.06815 (2020) - [i50]Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak:
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. CoRR abs/2004.09576 (2020) - [i49]Jangho Kim, KiYoon Yoo, Nojun Kwak:
Position-based Scaled Gradient for Model Quantization and Sparse Training. CoRR abs/2005.11035 (2020) - [i48]Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak:
KL-Divergence-Based Region Proposal Network for Object Detection. CoRR abs/2005.11220 (2020) - [i47]Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-based semi-supervised learning for object detection. CoRR abs/2006.02158 (2020) - [i46]John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak:
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation. CoRR abs/2007.05168 (2020) - [i45]Sungheon Park, Minsik Lee, Nojun Kwak:
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations. CoRR abs/2007.10961 (2020) - [i44]Jaeseok Choi, Yeji Song, Nojun Kwak:
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud. CoRR abs/2007.13373 (2020) - [i43]Seonguk Park, KiYoon Yoo, Nojun Kwak:
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective. CoRR abs/2009.04120 (2020) - [i42]Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak:
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA. CoRR abs/2009.08043 (2020) - [i41]Sang-Ho Lee, KiYoon Yoo, Nojun Kwak:
Asynchronous Edge Learning using Cloned Knowledge Distillation. CoRR abs/2010.10338 (2020) - [i40]Hyojin Park, Ganesh Venkatesh, Nojun Kwak:
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss. CoRR abs/2011.04445 (2020) - [i39]Myunggi Lee, Wonwoong Cho, Moonheum Kim, David I. Inouye, Nojun Kwak:
StyleUV: Diverse and High-fidelity UV Map Generative Model. CoRR abs/2011.12893 (2020) - [i38]Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak:
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation. CoRR abs/2012.11655 (2020)
2010 – 2019
- 2019
- [j26]Sung Joon Son, Youngmin Song, Namgi Kim, Younghae Do, Nojun Kwak, Mu Sook Lee, Byoung-Dai Lee:
TW3-Based Fully Automated Bone Age Assessment System Using Deep Neural Networks. IEEE Access 7: 33346-33358 (2019) - [c44]Seonhoon Kim, Inho Kang, Nojun Kwak:
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information. AAAI 2019: 6586-6593 - [c43]Daesik Kim, Seonhoon Kim, Nojun Kwak:
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension. ACL (1) 2019: 3568-3584 - [c42]John Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak:
Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning. ACML 2019: 32-47 - [c41]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. ICCV 2019: 1921-1930 - [c40]Simyung Chang, Seonguk Park, John Yang, Nojun Kwak:
Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation. ICCV 2019: 4802-4810 - [c39]Simyung Chang, Youngjoon Yoo, Jaeseok Choi, Nojun Kwak:
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. ICPRAM 2019: 73-82 - [c38]Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong, Nojun Kwak:
Two-layer Residual Feature Fusion for Object Detection. ICPRAM 2019: 352-359 - [c37]Jihye Hwang, Jieun Lee, Sungheon Park, Nojun Kwak:
Pose estimator and tracker using temporal flow maps for limbs. IJCNN 2019: 1-8 - [c36]Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak:
Consistency-based Semi-supervised Learning for Object detection. NeurIPS 2019: 10758-10767 - [i37]Simyung Chang, Sang-Ho Lee, Nojun Kwak:
URNet : User-Resizable Residual Networks with Conditional Gating Module. CoRR abs/1901.04687 (2019) - [i36]Jaeyoung Yoo, Hojun Lee, Nojun Kwak:
Density Estimation and Incremental Learning of Latent Vector for Generative Autoencoders. CoRR abs/1902.04294 (2019) - [i35]Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak:
Genetic-Gated Networks for Deep Reinforcement. CoRR abs/1903.01886 (2019) - [i34]Junyoung Choi, Minsung Hyun, Nojun Kwak:
Task-oriented Design through Deep Reinforcement Learning. CoRR abs/1903.05271 (2019) - [i33]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. CoRR abs/1904.01866 (2019) - [i32]Minsung Hyun, Junyoung Choi, Nojun Kwak:
Disentangling Options with Hellinger Distance Regularizer. CoRR abs/1904.06887 (2019) - [i31]Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak:
Feature Fusion for Online Mutual Knowledge Distillation. CoRR abs/1904.09058 (2019) - [i30]Jihye Hwang, Jieun Lee, Sungheon Park, Nojun Kwak:
Pose estimator and tracker using temporal flow maps for limbs. CoRR abs/1905.09500 (2019) - [i29]Saem Park, Nojun Kwak:
Image Enhancement by Recurrently-trained Super-resolution Network. CoRR abs/1907.11341 (2019) - [i28]Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nojun Kwak:
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules. CoRR abs/1908.03093 (2019) - [i27]Seonguk Park, Nojun Kwak:
FEED: Feature-level Ensemble for Knowledge Distillation. CoRR abs/1909.10754 (2019) - [i26]Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak:
Tell Me What They're Holding: Weakly-supervised Object Detection with Transferable Knowledge from Human-object Interaction. CoRR abs/1911.08141 (2019) - [i25]Hyojin Park, Lars Lowe Sjösund, Youngjoon Yoo, Nicolas Monet, Nojun Kwak:
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder. CoRR abs/1911.09099 (2019) - [i24]Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak:
QKD: Quantization-aware Knowledge Distillation. CoRR abs/1911.12491 (2019) - [i23]Jaeyoung Yoo, Geonseok Seo, Nojun Kwak:
Mixture-Model-based Bounding Box Density Estimation for Object Detection. CoRR abs/1911.12721 (2019) - 2018
- [j25]Sungheon Park, Nojun Kwak:
Independent component analysis by lp-norm optimization. Pattern Recognit. 76: 752-760 (2018) - [j24]Sungheon Park, Minsik Lee, Nojun Kwak:
Procrustean Regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation. IEEE Trans. Image Process. 27(1): 249-264 (2018) - [c35]Hyojin Park, Youngjoon Yoo, Nojun Kwak:
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. BMVC 2018: 76 - [c34]Sungheon Park, Nojun Kwak:
3D Human Pose Estimation with Relational Networks. BMVC 2018: 129 - [c33]Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak:
Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams. CVPR 2018: 4167-4175 - [c32]Jaeyoung Yoo, Sang-Ho Lee, Nojun Kwak:
Image Restoration by Estimating Frequency Distribution of Local Patches. CVPR 2018: 6684-6692 - [c31]Myunggi Lee, Seungeui Lee, Sung Joon Son, Gyutae Park, Nojun Kwak:
Motion Feature Network: Fixed Motion Filter for Action Recognition. ECCV (10) 2018: 392-408 - [c30]Simyung Chang, John Yang, Seonguk Park, Nojun Kwak:
Broadcasting Convolutional Network for Visual Relational Reasoning. ECCV (15) 2018: 780-796 - [c29]Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak:
Music Source Separation Using Stacked Hourglass Networks. ISMIR 2018: 289-296 - [c28]Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak:
Genetic-Gated Networks for Deep Reinforcement Learning. NeurIPS 2018: 1754-1763 - [c27]Jangho Kim, Seonguk Park, Nojun Kwak:
Paraphrasing Complex Network: Network Compression via Factor Transfer. NeurIPS 2018: 2765-2774 - [i22]Jangho Kim, Seonguk Park, Nojun Kwak:
Paraphrasing Complex Network: Network Compression via Factor Transfer. CoRR abs/1802.04977 (2018) - [i21]Hyojin Park, Young Joon Yoo, Nojun Kwak:
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis. CoRR abs/1805.01123 (2018) - [i20]Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak:
Music Source Separation Using Stacked Hourglass Networks. CoRR abs/1805.08559 (2018) - [i19]Sungheon Park, Nojun Kwak:
3D Human Pose Estimation with Relational Networks. CoRR abs/1805.08961 (2018) - [i18]Jaeyoung Yoo, Sang-Ho Lee, Nojun Kwak:
Image Restoration by Estimating Frequency Distribution of Local Patches. CoRR abs/1805.09097 (2018) - [i17]Seonhoon Kim, Jin-Hyuk Hong, Inho Kang, Nojun Kwak:
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information. CoRR abs/1805.11360 (2018) - [i16]Jeesoo Kim, Jaeyoung Yoo, Jangho Kim, Nojun Kwak:
Generating objects going well with the surroundings. CoRR abs/1807.02925 (2018) - [i15]Myunggi Lee, Seungeui Lee, Sung Joon Son, Gyutae Park, Nojun Kwak:
Motion Feature Network: Fixed Motion Filter for Action Recognition. CoRR abs/1807.10037 (2018) - [i14]Jangho Kim, Jeesoo Kim, Nojun Kwak:
HC-Net: Memory-based Incremental Dual-Network System for Continual learning. CoRR abs/1809.02441 (2018) - [i13]Daesik Kim, Seonhoon Kim, Nojun Kwak:
Textbook Question Answering with Knowledge Graph Understanding and Unsupervised Open-set Text Comprehension. CoRR abs/1811.00232 (2018) - [i12]John Yang, Gyujeong Lee, Minsung Hyun, Simyung Chang, Nojun Kwak:
Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning. CoRR abs/1811.04350 (2018) - [i11]Simyung Chang, Seonguk Park, John Yang, Nojun Kwak:
Image Translation to Mixed-Domain using Sym-Parameterized Generative Network. CoRR abs/1811.12362 (2018) - [i10]Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak:
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR abs/1812.04920 (2018) - 2017
- [j23]Jiyong Oh, Sung Joon Son, Sangkuk Lee, Ji-Won Kwon, Nojun Kwak:
Online recognition of handwritten music symbols. Int. J. Document Anal. Recognit. 20(2): 79-89 (2017) - [j22]Sanghyun Kim, Mingon Kim, Jimin Lee, Soonwook Hwang, Joonbo Chae, Beomyeong Park, Hyunbum Cho, Jaehoon Sim, Jaesug Jung, Hosang Lee, Seho Shin, Minsung Kim, Wonje Choi, Yisoo Lee, Sumin Park, Jiyong Oh, Yongjin Lee, Sangkuk Lee, Myunggi Lee, Sangyup Yi, Kyong-Sok K. C. Chang, Nojun Kwak, Jaeheung Park:
Team SNU's Control Strategies for Enhancing a Robot's Capability: Lessons from the 2015 DARPA Robotics Challenge Finals. J. Field Robotics 34(2): 359-380 (2017) - [j21]Nojun Kwak:
Implementing Kernel Methods Incrementally by Incremental Nonlinear Projection Trick. IEEE Trans. Cybern. 47(11): 4003-4009 (2017) - [c26]Jisoo Jeong, Hyojin Park, Nojun Kwak:
Enhancement of SSD by concatenating feature maps for object detection. BMVC 2017 - [c25]Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. BMVC 2017 - [c24]Jihye Hwang, Sungheon Park, Nojun Kwak:
Athlete Pose Estimation by a Global-Local Network. CVPR Workshops 2017: 114-121 - [c23]Daesik Kim, Myunggi Lee, Nojun Kwak:
Matching video net: Memory-based embedding for video action recognition. IJCNN 2017: 432-438 - [i9]Jisoo Jeong, Hyojin Park, Nojun Kwak:
Enhancement of SSD by concatenating feature maps for object detection. CoRR abs/1705.09587 (2017) - [i8]Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak:
Superpixel-based semantic segmentation trained by statistical process control. CoRR abs/1706.10071 (2017) - [i7]Sangkuk Lee, Daesik Kim, Myunggi Lee, Jihye Hwang, Nojun Kwak:
Where to Play: Retrieval of Video Segments using Natural-Language Queries. CoRR abs/1707.00251 (2017) - [i6]Kyoungmin Lee, Jaeseok Choi, Jisoo Jeong, Nojun Kwak:
Residual Features and Unified Prediction Network for Single Stage Detection. CoRR abs/1707.05031 (2017) - [i5]Simyung Chang, Young Joon Yoo, Jaeseok Choi, Nojun Kwak:
Knowledge Sharing for Reinforcement Learning: Writing a BOOK. CoRR abs/1709.01308 (2017) - [i4]Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak:
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams. CoRR abs/1711.09528 (2017) - [i3]Young Joon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun, Nojun Kwak:
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation. CoRR abs/1711.09681 (2017) - [i2]Simyung Chang, John Yang, Seonguk Park, Nojun Kwak:
Broadcasting Convolutional Network. CoRR abs/1712.02517 (2017) - 2016
- [j20]Jiyong Oh, Nojun Kwak:
Generalized mean for robust principal component analysis. Pattern Recognit. 54: 116-127 (2016) - [c22]Sungheon Park, Nojun Kwak:
Analysis on the Dropout Effect in Convolutional Neural Networks. ACCV (2) 2016: 189-204 - [c21]John Yang, Hyeogjin Lee, Nojun Kwak:
Kernel parameter selection by gap maximization between intra and inter-class samples. BigComp 2016: 349-352 - [c20]Sungheon Park, Jihye Hwang, Nojun Kwak:
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information. ECCV Workshops (3) 2016: 156-169 - [c19]Myunggi Lee, Hyeogjin Lee, Jiyong Oh, Hak Jong Lee, Seung Hyup Kim, Nojun Kwak:
Unregistered Bosniak Classification with Multi-phase Convolutional Neural Networks. ICONIP (4) 2016: 19-27 - [c18]Jihye Hwang, Younggwang Ji, Nojun Kwak, Eun Yi Kim:
Outdoor Context Awareness Device That Enables Mobile Phone Users to Walk Safely through Urban Intersections. ICPRAM 2016: 526-533 - [i1]Sungheon Park, Jihye Hwang, Nojun Kwak:
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information. CoRR abs/1608.03075 (2016) - 2015
- [j19]Eunwoo Kim, Minsik Lee, Chong-Ho Choi, Nojun Kwak, Songhwai Oh:
Efficient l1-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method. IEEE Trans. Neural Networks Learn. Syst. 26(2): 237-251 (2015) - [c17]Sungheon Park, Nojun Kwak:
Cultural event recognition by subregion classification with convolutional neural network. CVPR Workshops 2015: 45-50 - [c16]Minsik Lee, Jieun Lee, Hyeogjin Lee, Nojun Kwak:
Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering. CVPR 2015: 1648-1656 - [c15]Sanghyun Kim, Mingon Kim, Jimin Lee, Soonwook Hwang, Joonbo Chae, Beomyeong Park, Hyunbum Cho, Jaehoon Sim, Jaesug Jung, Hosang Lee, Seho Shin, Minsung Kim, Nojun Kwak, Yongjin Lee, Sangkuk Lee, Myunggi Lee, Sangyup Yi, Kyong-Sok K. C. Chang, Jaeheung Park:
Approach of Team SNU to the DARPA Robotics Challenge finals. Humanoids 2015: 777-784 - [c14]Hyeogjin Lee, Nojun Kwak:
Character recognition for the machine reader zone of electronic identity cards. ICIP 2015: 387-391 - [c13]Sungheon Park, Nojun Kwak:
Illumination robust optical flow estimation by illumination-chromaticity decoupling. ICIP 2015: 1910-1914 - 2014
- [j18]Nojun Kwak:
Principal Component Analysis by $L_{p}$ -Norm Maximization. IEEE Trans. Cybern. 44(5): 594-609 (2014) - [c12]Kanishka Tyagi, Nojun Kwak, Michael T. Manry:
Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L1 Norm. ICPRAM 2014: 207-212 - 2013
- [j17]Jiyong Oh, Nojun Kwak, Minsik Lee, Chong-Ho Choi:
Generalized mean for feature extraction in one-class classification problems. Pattern Recognit. 46(12): 3328-3340 (2013) - [j16]Jae Hyun Oh, Nojun Kwak:
Generalization of linear discriminant analysis using Lp-norm. Pattern Recognit. Lett. 34(6): 679-685 (2013) - [j15]Nojun Kwak:
Nonlinear Projection Trick in Kernel Methods: An Alternative to the Kernel Trick. IEEE Trans. Neural Networks Learn. Syst. 24(12): 2113-2119 (2013) - 2012
- [j14]Nojun Kwak:
Kernel discriminant analysis for regression problems. Pattern Recognit. 45(5): 2019-2031 (2012) - [j13]Sang-Il Choi, Chong-Ho Choi, Gu-Min Jeong, Nojun Kwak:
Pixel selection based on discriminant features with application to face recognition. Pattern Recognit. Lett. 33(9): 1083-1092 (2012) - [j12]Jae Hyun Oh, Nojun Kwak:
Recognition of a Driver's Gaze for Vehicle Headlamp Control. IEEE Trans. Veh. Technol. 61(5): 2008-2017 (2012) - [c11]Jieun Lee, Nojun Kwak:
Detection and Recovery of Occluded Face Images based on Correlation between Pixels. ICPRAM (2) 2012: 568-571 - [c10]Seaung Lok Ham, Nojun Kwak:
Boosted-PCA for binary classification problems. ISCAS 2012: 1219-1222 - 2011
- [j11]Eun-Chan Park, Nojun Kwak, Suk Kyu Lee, Jong-Kook Kim, Hwangnam Kim:
Provisioning QoS for WiFi-enabled Portable Devices in Home Networks. KSII Trans. Internet Inf. Syst. 5(4): 720-740 (2011) - [j10]Sang-Il Choi, Chong-Ho Choi, Nojun Kwak:
Face recognition based on 2D images under illumination and pose variations. Pattern Recognit. Lett. 32(4): 561-571 (2011) - 2010
- [j9]Nojun Kwak, Jung-Won Lee:
Feature extraction based on subspace methods for regression problems. Neurocomputing 73(10-12): 1740-1751 (2010)
2000 – 2009
- 2009
- [j8]Nojun Kwak, Jiyong Oh:
Feature extraction for one-class classification problems: Enhancements to biased discriminant analysis. Pattern Recognit. 42(1): 17-26 (2009) - [c9]Jiyong Oh, Chong-Ho Choi, Nojun Kwak:
MAP Classifier with BDA Features. FSKD (1) 2009: 227-231 - 2008
- [j7]Nojun Kwak, Chunghoon Kim, Hwangnam Kim:
Dimensionality reduction based on ICA for regression problems. Neurocomputing 71(13-15): 2596-2603 (2008) - [j6]Nojun Kwak:
Principal Component Analysis Based on L1-Norm Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 30(9): 1672-1680 (2008) - [j5]Nojun Kwak:
Feature extraction for classification problems and its application to face recognition. Pattern Recognit. 41(5): 1701-1717 (2008) - [c8]Nojun Kwak, Sang-Il Choi, Chong-Ho Choi:
Feature Extraction for Regression Problems and an Example Application for Pose Estimation of a Face. ICIAR 2008: 435-444 - 2007
- [j4]Nojun Kwak:
Feature Extraction Based on Direct Calculation of Mutual Information. Int. J. Pattern Recognit. Artif. Intell. 21(7): 1213-1231 (2007) - 2006
- [c7]Nojun Kwak, Chunghoon Kim:
Dimensionality Reduction Based on ICA for Regression Problems. ICANN (1) 2006: 1-10 - [c6]Nojun Kwak:
Feature Extraction with Weighted Samples Based on Independent Component Analysis. ICANN (2) 2006: 340-349 - 2003
- [j3]Nojun Kwak, Chong-Ho Choi:
Feature Extraction Based on ICA for Binary Classification Problems. IEEE Trans. Knowl. Data Eng. 15(6): 1374-1388 (2003) - 2002
- [j2]Nojun Kwak, Chong-Ho Choi:
Input Feature Selection by Mutual Information Based on Parzen Window. IEEE Trans. Pattern Anal. Mach. Intell. 24(12): 1667-1671 (2002) - [j1]Nojun Kwak, Chong-Ho Choi:
Input feature selection for classification problems. IEEE Trans. Neural Networks 13(1): 143-159 (2002) - [c5]Nojun Kwak, Chong-Ho Choi:
A New Method of Feature Extraction and Its Stability. ICANN 2002: 480-485 - [c4]Nojun Kwak, Chong-Ho Choi, Narendra Ahuja:
Face recognition using feature extraction based on independent component analysis. ICIP (2) 2002: 337-340 - 2001
- [c3]Nojun Kwak, Chong-Ho Choi, Jin Young Choi:
Feature Extraction Using ICA. ICANN 2001: 568-576 - [c2]Chong-Ho Choi, Nojun Kwak:
Disturbance Attenuation in Robot Control. ICRA 2001: 2560-2565
1990 – 1999
- 1999
- [c1]Nojun Kwak, Chong-Ho Choi:
Improved mutual information feature selector for neural networks in supervised learning. IJCNN 1999: 1313-1318
Coauthor Index
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