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2020 – today
- 2024
[j25]Yunzhong Hou
, Stephen Gould, Liang Zheng:
View-coherent correlation consistency for semi-supervised semantic segmentation. Pattern Recognit. 147: 110089 (2024)- [j24]Yunzhong Hou, Stephen Gould, Liang Zheng:
Scalable Deep Color Quantization: A Cluster Imitation Approach. IEEE Trans. Image Process. 33: 5273-5283 (2024) - [j23]Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould:
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. Trans. Mach. Learn. Res. 2024 (2024) - [j22]Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Stephen Gould:
eDiGS: Extended Divergence-Guided Shape Implicit Neural Representation for Unoriented Point Clouds. World Sci. Annu. Rev. Artif. Intell. 2: 2440004:1-2440004:32 (2024) - [c115]Ming Xu, Stephen Gould:
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation. CVPR 2024: 14618-14627 - [c114]Yizhak Ben-Shabat, Oren Shrout, Stephen Gould:
3DInAction: Understanding Human Actions in 3D Point Clouds. CVPR 2024: 19978-19987 - [c113]Yunzhong Hou, Stephen Gould, Liang Zheng:
Learning to Select Views for Efficient Multi-View Understanding. CVPR 2024: 20135-20144 - [c112]Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould:
Differentiable Neural Surface Refinement for Modeling Transparent Objects. CVPR 2024: 20268-20277 - [c111]Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Dylan Campbell, Stephen Gould:
Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance. CVPR 2024: 21456-21465 - [c110]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? ECCV (48) 2024: 127-142 - [c109]Yanbin Liu, Stephen Gould:
Unsupervised Dense Prediction Using Differentiable Normalized Cuts. ECCV (40) 2024: 287-304 - [c108]Kai Xi, Stephen Gould, Sylvie Thiébaux:
Neuro-Symbolic Learning of Lifted Action Models from Visual Traces. ICAPS 2024: 653-662 - [c107]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. ICLR 2024 - [c106]Weijie Tu, Weijian Deng, Dylan Campbell, Stephen Gould, Tom Gedeon:
An Empirical Study Into What Matters for Calibrating Vision-Language Models. ICML 2024 - [c105]Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew E. Shaffer, Stephen Gould:
Ray Deformation Networks for Novel View Synthesis of Refractive Objects. WACV 2024: 3106-3116 - [c104]Yizhak Ben-Shabat, Jonathan Paul, Eviatar Segev, Oren Shrout, Stephen Gould:
IKEA Ego 3D Dataset: Understanding furniture assembly actions from ego-view 3D Point Clouds. WACV 2024: 4343-4352 - [c103]Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould:
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. WACV 2024: 5741-5750 - [c102]Chunyi Sun, Yanbin Liu, Junlin Han, Stephen Gould:
NeRFEditor: Differentiable Style Decomposition for 3D Scene Editing. WACV 2024: 7291-7300 - [c101]Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel:
LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes. WACV 2024: 8031-8040 - [i92]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. CoRR abs/2402.00865 (2024) - [i91]Weijie Tu, Weijian Deng, Dylan Campbell, Stephen Gould, Tom Gedeon:
An Empirical Study Into What Matters for Calibrating Vision-Language Models. CoRR abs/2402.07417 (2024) - [i90]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? CoRR abs/2403.09037 (2024) - [i89]Ming Xu, Stephen Gould:
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation. CoRR abs/2404.01518 (2024) - [i88]Jiahao Zhang, Frederic Z. Zhang, Cristian Rodriguez, Yizhak Ben-Shabat, Anoop Cherian, Stephen Gould:
Temporally Grounding Instructional Diagrams in Unconstrained Videos. CoRR abs/2407.12066 (2024) - [i87]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Can We Predict Performance of Large Models across Vision-Language Tasks? CoRR abs/2410.10112 (2024) - [i86]Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Sameera Ramasinghe, Stephen Gould:
Neural Experts: Mixture of Experts for Implicit Neural Representations. CoRR abs/2410.21643 (2024) - [i85]Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould:
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame. CoRR abs/2411.01248 (2024) - 2023
- [j21]Yao Lu, Stephen Gould, Thalaiyasingam Ajanthan:
Bidirectionally self-normalizing neural networks. Neural Networks 167: 283-291 (2023) - [j20]Stephen Gould, Tom Kelly:
Hamilton transversals in random Latin squares. Random Struct. Algorithms 62(2): 450-478 (2023) - [c100]Jiahao Zhang, Anoop Cherian, Yanbin Liu, Yizhak Ben-Shabat, Cristian Rodriguez Opazo, Stephen Gould:
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations. CVPR 2023: 2483-2492 - [c99]Jaskirat Singh, Stephen Gould, Liang Zheng:
High-Fidelity Guided Image Synthesis with Latent Diffusion Models. CVPR 2023: 5997-6006 - [c98]Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Stephen Gould:
Octree Guided Unoriented Surface Reconstruction. CVPR 2023: 16717-16726 - [c97]Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel:
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. ICCV 2023: 1229-1238 - [c96]Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan:
Learning Navigational Visual Representations with Semantic Map Supervision. ICCV 2023: 3032-3044 - [c95]Frederic Z. Zhang, Yuhui Yuan, Dylan Campbell, Zhuoyao Zhong, Stephen Gould:
Exploring Predicate Visual Context in Detecting of Human-Object Interactions. ICCV 2023: 10377-10387 - [c94]Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao:
Scaling Data Generation in Vision-and-Language Navigation. ICCV 2023: 11975-11986 - [c93]Ming Xu, Sourav Garg, Michael Milford, Stephen Gould:
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths. ICLR 2023 - [c92]Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng:
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation. ICML 2023: 7658-7674 - [c91]Ming Xu, Timothy L. Molloy, Stephen Gould:
Revisiting Implicit Differentiation for Learning Problems in Optimal Control. NeurIPS 2023 - [i84]Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng:
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation. CoRR abs/2302.01094 (2023) - [i83]Yunzhong Hou, Stephen Gould, Liang Zheng:
Learning to Select Camera Views: Efficient Multiview Understanding at Few Glances. CoRR abs/2303.06145 (2023) - [i82]Yizhak Ben-Shabat, Oren Shrout, Stephen Gould:
3DInAction: Understanding Human Actions in 3D Point Clouds. CoRR abs/2303.06346 (2023) - [i81]Ming Xu, Sourav Garg, Michael Milford, Stephen Gould:
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths. CoRR abs/2303.10778 (2023) - [i80]Jiahao Zhang, Anoop Cherian, Yanbin Liu, Yizhak Ben-Shabat, Cristian Rodriguez Opazo, Stephen Gould:
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations. CoRR abs/2303.13800 (2023) - [i79]Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, Stephen Gould:
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning. CoRR abs/2303.16604 (2023) - [i78]Thalaiyasingam Ajanthan, Matt Ma, Anton van den Hengel, Stephen Gould:
Adaptive Cross Batch Normalization for Metric Learning. CoRR abs/2303.17127 (2023) - [i77]Zheyu Zhuang, Yizhak Ben-Shabat, Jiahao Zhang, Stephen Gould, Robert E. Mahony:
GoferBot: A Visual Guided Human-Robot Collaborative Assembly System. CoRR abs/2304.08840 (2023) - [i76]Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould:
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. CoRR abs/2305.16304 (2023) - [i75]Stephen Gould, Ming Xu, Zhiwei Xu, Yanbin Liu:
Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks. CoRR abs/2306.14054 (2023) - [i74]Zhiwei Xu, Hao Wang, Yanbin Liu, Stephen Gould:
PMaF: Deep Declarative Layers for Principal Matrix Features. CoRR abs/2306.14759 (2023) - [i73]Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan:
Learning Navigational Visual Representations with Semantic Map Supervision. CoRR abs/2307.12335 (2023) - [i72]Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao:
Scaling Data Generation in Vision-and-Language Navigation. CoRR abs/2307.15644 (2023) - [i71]Frederic Z. Zhang, Yuhui Yuan, Dylan Campbell, Zhuoyao Zhong, Stephen Gould:
Exploring Predicate Visual Context in Detecting of Human-Object Interactions. CoRR abs/2308.06202 (2023) - [i70]Chunyi Sun, Junlin Han, Weijian Deng, Xinlong Wang, Zishan Qin, Stephen Gould:
3D-GPT: Procedural 3D Modeling with Large Language Models. CoRR abs/2310.12945 (2023) - [i69]Ming Xu, Timothy Molloy, Stephen Gould:
Revisiting Implicit Differentiation for Learning Problems in Optimal Control. CoRR abs/2310.14468 (2023) - [i68]Hamed Damirchi, Cristian Rodriguez Opazo, Ehsan Abbasnejad, Damien Teney, Javen Qinfeng Shi, Stephen Gould, Anton van den Hengel:
Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines. CoRR abs/2311.17949 (2023) - 2022
- [j19]Stephen Gould, Tom Kelly, Daniela Kühn, Deryk Osthus:
Almost all optimally coloured complete graphs contain a rainbow Hamilton path. J. Comb. Theory B 156: 57-100 (2022) - [j18]Stephen Gould, Richard I. Hartley, Dylan Campbell:
Deep Declarative Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 3988-4004 (2022) - [j17]Weijian Deng, Joshua Marsh, Stephen Gould, Liang Zheng:
Fine-Grained Classification via Categorical Memory Networks. IEEE Trans. Image Process. 31: 4186-4196 (2022) - [c90]Yicong Hong, Zun Wang, Qi Wu, Stephen Gould:
Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation. CVPR 2022: 15418-15428 - [c89]Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Stephen Gould:
DiGS : Divergence guided shape implicit neural representation for unoriented point clouds. CVPR 2022: 19301-19310 - [c88]Frederic Z. Zhang, Dylan Campbell, Stephen Gould:
Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer. CVPR 2022: 20072-20080 - [c87]Zheyu Zhuang, Yizhak Ben-Shabat, Jiahao Zhang, Stephen Gould, Robert E. Mahony:
GoferBot: A Visual Guided Human-Robot Collaborative Assembly System. IROS 2022: 8910-8917 - [c86]Weijian Deng, Stephen Gould, Liang Zheng:
On the Strong Correlation Between Model Invariance and Generalization. NeurIPS 2022 - [i67]Stephen Gould, Dylan Campbell, Itzik Ben-Shabat, Chamin Hewa Koneputugodage, Zhiwei Xu:
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies. CoRR abs/2202.12404 (2022) - [i66]Yicong Hong, Zun Wang, Qi Wu, Stephen Gould:
Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation. CoRR abs/2203.02764 (2022) - [i65]Weijian Deng, Stephen Gould, Liang Zheng:
On the Strong Correlation Between Model Invariance and Generalization. CoRR abs/2207.07065 (2022) - [i64]Yunzhong Hou, Stephen Gould, Liang Zheng:
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation. CoRR abs/2208.08437 (2022) - [i63]Yunzhong Hou, Liang Zheng, Stephen Gould:
Learning to Structure an Image with Few Colors and Beyond. CoRR abs/2208.08438 (2022) - [i62]Jaskirat Singh, Stephen Gould, Liang Zheng:
High-Fidelity Guided Image Synthesis with Latent Diffusion Models. CoRR abs/2211.17084 (2022) - [i61]Chunyi Sun, Yanbin Liu, Junlin Han, Stephen Gould:
NeRFEditor: Differentiable Style Decomposition for Full 3D Scene Editing. CoRR abs/2212.03848 (2022) - [i60]Kartik Gupta, Thalaiyasingam Ajanthan, Anton van den Hengel, Stephen Gould:
Understanding and Improving the Role of Projection Head in Self-Supervised Learning. CoRR abs/2212.11491 (2022) - 2021
- [j16]Stefan Glock, Stephen Gould, Felix Joos, Daniela Kühn, Deryk Osthus:
Counting Hamilton cycles in Dirac hypergraphs. Comb. Probab. Comput. 30(4): 631-653 (2021) - [c85]Yicong Hong, Qi Wu, Yuankai Qi, Cristian Rodriguez Opazo, Stephen Gould:
VLN BERT: A Recurrent Vision-and-Language BERT for Navigation. CVPR 2021: 1643-1653 - [c84]Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould:
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. CVPR 2021: 14329-14339 - [c83]Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould:
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. ICCV 2021: 2105-2114 - [c82]Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann:
Contextually Plausible and Diverse 3D Human Motion Prediction. ICCV 2021: 11313-11322 - [c81]Frederic Z. Zhang, Dylan Campbell, Stephen Gould:
Spatially Conditioned Graphs for Detecting Human-Object Interactions. ICCV 2021: 13299-13307 - [c80]Asiri Wijesinghe, Qing Wang, Stephen Gould:
A Regularized Wasserstein Framework for Graph Kernels. ICDM 2021: 739-748 - [c79]Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. ICLR 2021 - [c78]Weijian Deng, Stephen Gould, Liang Zheng:
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML 2021: 2579-2589 - [c77]Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould:
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds. NeurIPS 2021: 19487-19499 - [c76]Yizhak Ben-Shabat, Xin Yu, Fatemeh Sadat Saleh, Dylan Campbell, Cristian Rodriguez Opazo, Hongdong Li, Stephen Gould:
The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose. WACV 2021: 846-858 - [c75]Cristian Rodriguez Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li, Stephen Gould:
DORi: Discovering Object Relationships for Moment Localization of a Natural Language Query in a Video. WACV 2021: 1078-1087 - [i59]Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford:
Semantics for Robotic Mapping, Perception and Interaction: A Survey. CoRR abs/2101.00443 (2021) - [i58]Weijian Deng, Stephen Gould, Liang Zheng:
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? CoRR abs/2106.05961 (2021) - [i57]Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Stephen Gould:
DiGS : Divergence guided shape implicit neural representation for unoriented point clouds. CoRR abs/2106.10811 (2021) - [i56]Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould:
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. CoRR abs/2108.04024 (2021) - [i55]Asiri Wijesinghe, Qing Wang, Stephen Gould:
A Regularized Wasserstein Framework for Graph Kernels. CoRR abs/2110.02554 (2021) - [i54]Frederic Z. Zhang, Dylan Campbell, Stephen Gould:
Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer. CoRR abs/2112.01838 (2021) - 2020
- [j15]Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford:
Semantics for Robotic Mapping, Perception and Interaction: A Survey. Found. Trends Robotics 8(1-2): 1-224 (2020) - [j14]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-translational Equivariance. Int. J. Comput. Vis. 128(6): 1612-1634 (2020) - [c74]Shihao Jiang, Dylan Campbell, Miaomiao Liu, Stephen Gould, Richard Hartley:
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level optimization. 3DV 2020: 682-691 - [c73]Rodrigo Santa Cruz, Anoop Cherian, Basura Fernando, Dylan Campbell, Stephen Gould:
Inferring Temporal Compositions of Actions Using Probabilistic Automata. CVPR Workshops 2020: 1514-1522 - [c72]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. CVPR 2020: 5222-5231 - [c71]Yunzhong Hou, Liang Zheng, Stephen Gould:
Learning to Structure an Image With Few Colors. CVPR 2020: 10113-10122 - [c70]Yunzhong Hou, Liang Zheng, Stephen Gould:
Multiview Detection with Feature Perspective Transformation. ECCV (7) 2020: 1-18 - [c69]Yizhak Ben-Shabat, Stephen Gould:
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares. ECCV (1) 2020: 20-34 - [c68]Dylan Campbell, Liu Liu, Stephen Gould:
Solving the Blind Perspective-n-Point Problem End-to-End with Robust Differentiable Geometric Optimization. ECCV (2) 2020: 244-261 - [c67]Yicong Hong, Cristian Rodriguez Opazo, Qi Wu, Stephen Gould:
Sub-Instruction Aware Vision-and-Language Navigation. EMNLP (1) 2020: 3360-3376 - [c66]Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr:
A Signal Propagation Perspective for Pruning Neural Networks at Initialization. ICLR 2020 - [c65]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. IROS 2020: 8169-8176 - [c64]Yicong Hong, Cristian Rodriguez Opazo, Yuankai Qi, Qi Wu, Stephen Gould:
Language and Visual Entity Relationship Graph for Agent Navigation. NeurIPS 2020 - [c63]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. WACV 2020: 21-31 - [c62]Cristian Rodriguez Opazo, Edison Marrese-Taylor, Fatemeh Sadat Saleh, Hongdong Li, Stephen Gould:
Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention. WACV 2020: 2453-2462 - [i53]Shihao Jiang, Dylan Campbell, Miaomiao Liu, Stephen Gould, Richard Hartley:
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization. CoRR abs/2002.11826 (2020) - [i52]Yunzhong Hou, Liang Zheng, Stephen Gould:
Learning to Structure an Image with Few Colors. CoRR abs/2003.07848 (2020) - [i51]Yizhak Ben-Shabat, Stephen Gould:
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares. CoRR abs/2003.10826 (2020) - [i50]Yicong Hong, Cristian Rodriguez Opazo, Qi Wu, Stephen Gould:
Sub-Instruction Aware Vision-and-Language Navigation. CoRR abs/2004.02707 (2020) - [i49]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Stephen Gould:
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking. CoRR abs/2004.07482 (2020) - [i48]Rodrigo Santa Cruz, Anoop Cherian, Basura Fernando, Dylan Campbell, Stephen Gould:
Inferring Temporal Compositions of Actions Using Probabilistic Automata. CoRR abs/2004.13217 (2020) - [i47]Edison Marrese-Taylor, Cristian Rodriguez Opazo, Jorge A. Balazs, Stephen Gould, Yutaka Matsuo:
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews. CoRR abs/2005.13362 (2020) - [i46]Yao Lu, Stephen Gould, Thalaiyasingam Ajanthan:
Bidirectional Self-Normalizing Neural Networks. CoRR abs/2006.12169 (2020) - [i45]Yizhak Ben-Shabat, Xin Yu, Fatemeh Sadat Saleh, Dylan Campbell, Cristian Rodriguez Opazo, Hongdong Li, Stephen Gould:
The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose. CoRR abs/2007.00394 (2020) - [i44]Yunzhong Hou, Liang Zheng, Stephen Gould:
Multiview Detection with Feature Perspective Transformation. CoRR abs/2007.07247 (2020) - [i43]Dylan Campbell, Liu Liu, Stephen Gould:
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization. CoRR abs/2007.14628 (2020) - [i42]Sameera Ramasinghe, Kanchana Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. CoRR abs/2010.03132 (2020) - [i41]Cristian Rodriguez Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li, Stephen Gould:
DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video. CoRR abs/2010.06260 (2020) - [i40]Yicong Hong, Cristian Rodriguez Opazo, Yuankai Qi, Qi Wu, Stephen Gould:
Language and Visual Entity Relationship Graph for Agent Navigation. CoRR abs/2010.09304 (2020) - [i39]Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould:
How to train your conditional GAN: An approach using geometrically structured latent manifolds. CoRR abs/2011.13055 (2020) - [i38]Yicong Hong, Qi Wu, Yuankai Qi, Cristian Rodriguez Opazo, Stephen Gould:
A Recurrent Vision-and-Language BERT for Navigation. CoRR abs/2011.13922 (2020) - [i37]Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould:
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. CoRR abs/2012.02337 (2020) - [i36]Frederic Z. Zhang, Dylan Campbell, Stephen Gould:
Spatio-attentive Graphs for Human-Object Interaction Detection. CoRR abs/2012.06060 (2020) - [i35]Weijian Deng, Joshua Marsh, Stephen Gould, Liang Zheng:
Fine-grained Classification via Categorical Memory Networks. CoRR abs/2012.06793 (2020)
2010 – 2019
- 2019
- [j13]Anoop Cherian, Stephen Gould:
Second-order Temporal Pooling for Action Recognition. Int. J. Comput. Vis. 127(4): 340-362 (2019) - [j12]Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould:
Visual Permutation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 3100-3114 (2019) - [c61]Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould:
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. CVPR 2019: 11796-11806 - [c60]Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley:
Learning to Find Common Objects Across Few Image Collections. ICCV 2019: 5116-5125 - [i34]Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard I. Hartley:
Learning to Find Common Objects Across Image Collections. CoRR abs/1904.12936 (2019) - [i33]Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr:
A Signal Propagation Perspective for Pruning Neural Networks at Initialization. CoRR abs/1906.06307 (2019) - [i32]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, AmirHossein Habibian:
Learning Variations in Human Motion via Mix-and-Match Perturbation. CoRR abs/1908.00733 (2019) - [i31]Cristian Rodriguez Opazo, Edison Marrese-Taylor, Fatemeh Sadat Saleh, Hongdong Li, Stephen Gould:
Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention. CoRR abs/1908.07236 (2019) - [i30]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. CoRR abs/1908.10209 (2019) - [i29]Stephen Gould, Richard Hartley, Dylan Campbell:
Deep Declarative Networks: A New Hope. CoRR abs/1909.04866 (2019) - [i28]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance. CoRR abs/1912.01454 (2019) - [i27]Sameera Ramasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Spectral-GANs for High-Resolution 3D Point-cloud Generation. CoRR abs/1912.01800 (2019) - [i26]Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior. CoRR abs/1912.08521 (2019) - 2018
- [j11]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1382-1396 (2018) - [c59]Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould:
Video Representation Learning Using Discriminative Pooling. CVPR 2018: 1149-1158 - [c58]Anoop Cherian, Suvrit Sra, Stephen Gould, Richard Hartley:
Non-Linear Temporal Subspace Representations for Activity Recognition. CVPR 2018: 2197-2206 - [c57]Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel:
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. CVPR 2018: 3674-3683 - [c56]Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang:
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. CVPR 2018: 6077-6086 - [c55]Peter Anderson, Stephen Gould, Mark Johnson:
Partially-Supervised Image Captioning. NeurIPS 2018: 1879-1890 - [c54]Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould:
Neural Algebra of Classifiers. WACV 2018: 729-737 - [i25]Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould:
Neural Algebra of Classifiers. CoRR abs/1801.08676 (2018) - [i24]Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould:
Video Representation Learning Using Discriminative Pooling. CoRR abs/1803.10628 (2018) - [i23]Anoop Cherian, Suvrit Sra, Stephen Gould, Richard Hartley:
Non-Linear Temporal Subspace Representations for Activity Recognition. CoRR abs/1803.11064 (2018) - [i22]Peter Anderson, Stephen Gould, Mark Johnson:
Partially-Supervised Image Captioning. CoRR abs/1806.06004 (2018) - [i21]Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould:
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. CoRR abs/1812.01232 (2018) - 2017
- [j10]Basura Fernando, Stephen Gould:
Discriminatively Learned Hierarchical Rank Pooling Networks. Int. J. Comput. Vis. 124(3): 335-355 (2017) - [c53]Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould:
Generalized Rank Pooling for Activity Recognition. CVPR 2017: 1581-1590 - [c52]Basura Fernando, Sareh Shirazi, Stephen Gould:
Unsupervised Human Action Detection by Action Matching. CVPR Workshops 2017: 1604-1612 - [c51]Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould:
Self-Supervised Video Representation Learning with Odd-One-Out Networks. CVPR 2017: 5729-5738 - [c50]Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould:
DeepPermNet: Visual Permutation Learning. CVPR 2017: 6044-6052 - [c49]Sam Toyer, Anoop Cherian, Tengda Han, Stephen Gould:
Human Pose Forecasting via Deep Markov Models. DICTA 2017: 1-8 - [c48]Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould:
Guided Open Vocabulary Image Captioning with Constrained Beam Search. EMNLP 2017: 936-945 - [c47]Anoop Cherian, Piotr Koniusz, Stephen Gould:
Higher-Order Pooling of CNN Features via Kernel Linearization for Action Recognition. WACV 2017: 130-138 - [i20]Anoop Cherian, Piotr Koniusz, Stephen Gould:
Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition. CoRR abs/1701.05432 (2017) - [i19]Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould:
Action Representation Using Classifier Decision Boundaries. CoRR abs/1704.01716 (2017) - [i18]Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould:
Generalized Rank Pooling for Activity Recognition. CoRR abs/1704.02112 (2017) - [i17]Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould:
DeepPermNet: Visual Permutation Learning. CoRR abs/1704.02729 (2017) - [i16]Anoop Cherian, Stephen Gould:
Second-order Temporal Pooling for Action Recognition. CoRR abs/1704.06925 (2017) - [i15]Basura Fernando, Stephen Gould:
Discriminatively Learned Hierarchical Rank Pooling Networks. CoRR abs/1705.10420 (2017) - [i14]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation. CoRR abs/1706.02189 (2017) - [i13]Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang:
Bottom-Up and Top-Down Attention for Image Captioning and VQA. CoRR abs/1707.07998 (2017) - [i12]Sam Toyer, Anoop Cherian, Tengda Han, Stephen Gould:
Human Pose Forecasting via Deep Markov Models. CoRR abs/1707.09240 (2017) - [i11]Tengda Han, Jue Wang, Anoop Cherian, Stephen Gould:
Human Action Forecasting by Learning Task Grammars. CoRR abs/1709.06391 (2017) - [i10]Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel:
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments. CoRR abs/1711.07280 (2017) - 2016
- [j9]Kei-Hoi Cheung, Shivakumar Keerthikumar, Paola Roncaglia, Sai Lakshmi Subramanian, Matthew E. Roth, Monisha Samuel, Sushma Anand, Lahiru Gangoda, Stephen Gould, Roger Alexander, David Galas, Mark B. Gerstein, Andrew F. Hill, Robert R. Kitchen, Jan Lötvall, Tushar Patel:
Extending gene ontology in the context of extracellular RNA and vesicle communication. J. Biomed. Semant. 7: 19 (2016) - [c46]Basura Fernando, Peter Anderson, Marcus Hutter, Stephen Gould:
Discriminative Hierarchical Rank Pooling for Activity Recognition. CVPR 2016: 1924-1932 - [c45]Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould:
Dynamic Image Networks for Action Recognition. CVPR 2016: 3034-3042 - [c44]Jian Guo, Stephen Gould:
Depth Dropout: Efficient Training of Residual Convolutional Neural Networks. DICTA 2016: 1-7 - [c43]Aisha Khan, Stephen Gould, Mathieu Salzmann:
Deep Convolutional Neural Networks for Human Embryonic Cell Counting. ECCV Workshops (1) 2016: 339-348 - [c42]Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould:
SPICE: Semantic Propositional Image Caption Evaluation. ECCV (5) 2016: 382-398 - [c41]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez:
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. ECCV (8) 2016: 413-432 - [c40]Basura Fernando, Stephen Gould:
Learning End-to-end Video Classification with Rank-Pooling. ICML 2016: 1187-1196 - [c39]Aisha Khan, Stephen Gould, Mathieu Salzmann:
Segmentation of developing human embryo in time-lapse microscopy. ISBI 2016: 930-934 - [i9]Stephen Gould, Basura Fernando, Anoop Cherian, Peter Anderson, Rodrigo Santa Cruz, Edison Guo:
On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization. CoRR abs/1607.05447 (2016) - [i8]Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould:
SPICE: Semantic Propositional Image Caption Evaluation. CoRR abs/1607.08822 (2016) - [i7]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez:
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. CoRR abs/1609.00446 (2016) - [i6]Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould:
Self-Supervised Video Representation Learning With Odd-One-Out Networks. CoRR abs/1611.06646 (2016) - [i5]Basura Fernando, Sareh Shirazi, Stephen Gould:
Unsupervised Human Action Detection by Action Matching. CoRR abs/1612.00558 (2016) - [i4]Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould:
Guided Open Vocabulary Image Captioning with Constrained Beam Search. CoRR abs/1612.00576 (2016) - 2015
- [j8]Jochen Renz, Xiaoyu Ge, Stephen Gould, Peng Zhang:
The Angry Birds AI Competition. AI Mag. 36(2): 85-87 (2015) - [j7]Stephen Gould:
Learning Weighted Lower Linear Envelope Potentials in Binary Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 37(7): 1336-1346 (2015) - [j6]Seyed Hamid Rezatofighi, Stephen Gould, Ba-Tuong Vo, Ba-Ngu Vo, Katarina Mele, Richard I. Hartley:
Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences. IEEE Trans. Medical Imaging 34(6): 1336-1348 (2015) - [c38]Trung-Thanh Pham, Ian D. Reid, Yasir Latif, Stephen Gould:
Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling. ICCV 2015: 2246-2254 - [c37]Aisha Khan, Stephen Gould, Mathieu Salzmann:
Automated monitoring of human embryonic cells up to the 5-cell stage in time-lapse microscopy images. ISBI 2015: 389-393 - [c36]Aisha Khan, Stephen Gould, Mathieu Salzmann:
Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development. MLMI 2015: 161-169 - [c35]Aisha Khan, Stephen Gould, Mathieu Salzmann:
A Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development. WACV 2015: 526-533 - [c34]Buyu Liu, Xuming He, Stephen Gould:
Multi-class Semantic Video Segmentation with Exemplar-Based Object Reasoning. WACV 2015: 1014-1021 - [i3]Jian Guo, Stephen Gould:
Deep CNN Ensemble with Data Augmentation for Object Detection. CoRR abs/1506.07224 (2015) - [i2]Seyed Hamid Rezatofighi, Stephen Gould, Ba-Tuong Vo, Ba-Ngu Vo, Katarina Mele, Richard I. Hartley:
Multi-Target Tracking with Time-Varying Clutter Rate and Detection Profile: Application to Time-lapse Cell Microscopy Sequences. CoRR abs/1507.06397 (2015) - 2014
- [j5]Stephen Gould, Xuming He:
Scene understanding by labeling pixels. Commun. ACM 57(11): 68-77 (2014) - [j4]Farshid Moussavi, Yu Wang, Peter Lorenzen, Jonathan Oakley, Daniel B. Russakoff, Stephen Gould:
A Unified Graphical Models Framework for Automated Mitosis Detection in Human Embryos. IEEE Trans. Medical Imaging 33(7): 1551-1562 (2014) - [c33]Hajar Sadeghi Sokeh, Stephen Gould, Jochen Renz:
Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-Temporal Reasoning. ACCV (5) 2014: 550-563 - [c32]Srimal Jayawardena, Stephen Gould, Hongdong Li, Marcus Hutter, Richard I. Hartley:
Reliable Point Correspondences in Scenes Dominated by Highly Reflective and Largely Homogeneous Surfaces. ACCV Workshops (1) 2014: 659-674 - [c31]Xuming He, Stephen Gould:
An Exemplar-Based CRF for Multi-instance Object Segmentation. CVPR 2014: 296-303 - [c30]Di Yang, Srimal Jayawardena, Stephen Gould, Marcus Hutter:
Reflective Features Detection and Hierarchical Reflections Separation in Image Sequences. DICTA 2014: 1-7 - [c29]Stephen Gould, Jiecheng Zhao, Xuming He, Yuhang Zhang:
Superpixel Graph Label Transfer with Learned Distance Metric. ECCV (1) 2014: 632-647 - [c28]Farshid Moussavi, Yu Wang, Peter Lorenzen, Jonathan Oakley, Daniel B. Russakoff, Stephen Gould:
A unified graphical models framework for automated human embryo tracking in time lapse microscopy. ISBI 2014: 314-320 - [c27]Buyu Liu, Xuming He, Stephen Gould:
Joint semantic and geometric segmentation of videos with a stage model. WACV 2014: 737-744 - 2013
- [j3]Huayan Wang, Stephen Gould, Daphne Koller:
Discriminative learning with latent variables for cluttered indoor scene understanding. Commun. ACM 56(4): 92-99 (2013) - [c26]Xuming He, Stephen Gould:
Multi-instance Object Segmentation with Exemplars. ICCV Workshops 2013: 1-4 - [c25]Hajar Sadeghi Sokeh, Stephen Gould, Jochen Renz:
Efficient Extraction and Representation of Spatial Information from Video Data. IJCAI 2013: 1076-1082 - [c24]Seyed Hamid Rezatofighi, Stephen Gould, Ba-Ngu Vo, Katarina Mele, William E. Hughes, Richard I. Hartley:
A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences. IPMI 2013: 110-122 - [c23]Seyed Hamid Rezatofighi, William T. E. Pitkeathly, Stephen Gould, Richard I. Hartley, Katarina Mele, William E. Hughes, James G. Burchfield:
A framework for generating realistic synthetic sequences of total internal reflection fluorescence microscopy images. ISBI 2013: 157-160 - [c22]Paul Minchinton, Stephen Gould, Richard J. Mitchell:
The Cyber Challenge - a Robotics Project to Enthuse. ACE 2013: 168-173 - 2012
- [j2]Stephen Gould:
DARWIN: a framework for machine learning and computer vision research and development. J. Mach. Learn. Res. 13: 3533-3537 (2012) - [c21]Di Yang, Stephen Gould, Marcus Hutter:
A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation. ACCV (1) 2012: 775-789 - [c20]Stephen Gould:
Multiclass pixel labeling with non-local matching constraints. CVPR 2012: 2783-2790 - [c19]Kyoungup Park, Stephen Gould:
On Learning Higher-Order Consistency Potentials for Multi-class Pixel Labeling. ECCV (2) 2012: 202-215 - [c18]Stephen Gould, Yuhang Zhang:
PatchMatchGraph: Building a Graph of Dense Patch Correspondences for Label Transfer. ECCV (5) 2012: 439-452 - [c17]Hajar Sadeghi Sokeh, Stephen Gould:
Towards unsupervised semantic segmentation of street scenes from motion cues. IVCNZ 2012: 232-237 - [c16]Seyed Hamid Rezatofighi, Stephen Gould, Richard I. Hartley, Katarina Mele, William E. Hughes:
Application of the IMM-JPDA Filter to Multiple Target Tracking in Total Internal Reflection Fluorescence Microscopy Images. MICCAI (1) 2012: 357-364 - [i1]John C. Duchi, Stephen Gould, Daphne Koller:
Projected Subgradient Methods for Learning Sparse Gaussians. CoRR abs/1206.3249 (2012) - 2011
- [c15]Paul Rivera, Stephen Gould:
Simultaneous Multi-class Pixel Labeling over Coherent Image Sets. DICTA 2011: 99-106 - [c14]Stephen Gould:
Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields. ICML 2011: 193-200 - 2010
- [c13]Beyang Liu, Stephen Gould, Daphne Koller:
Single image depth estimation from predicted semantic labels. CVPR 2010: 1253-1260 - [c12]Benjamin Packer, Stephen Gould, Daphne Koller:
A Unified Contour-Pixel Model for Figure-Ground Segmentation. ECCV (5) 2010: 338-351 - [c11]Huayan Wang, Stephen Gould, Daphne Koller:
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (2) 2010: 435-449 - [c10]Huayan Wang, Stephen Gould, Daphne Koller:
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (4) 2010: 497-510 - [c9]Vladimir Jojic, Stephen Gould, Daphne Koller:
Accelerated dual decomposition for MAP inference. ICML 2010: 503-510
2000 – 2009
- 2009
- [c8]Stephen Gould, Fernando Amat, Daphne Koller:
Alphabet SOUP: A framework for approximate energy minimization. CVPR 2009: 903-910 - [c7]Stephen Gould, Richard Fulton, Daphne Koller:
Decomposing a scene into geometric and semantically consistent regions. ICCV 2009: 1-8 - [c6]Morgan Quigley, Siddharth Batra, Stephen Gould, Ellen Klingbeil, Quoc V. Le, Ashley Wellman, Andrew Y. Ng:
High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening. ICRA 2009: 2816-2822 - [c5]Stephen Gould, Tianshi Gao, Daphne Koller:
Region-based Segmentation and Object Detection. NIPS 2009: 655-663 - 2008
- [j1]Stephen Gould, Jim Rodgers, David Cohen, Gal Elidan, Daphne Koller:
Multi-Class Segmentation with Relative Location Prior. Int. J. Comput. Vis. 80(3): 300-316 (2008) - [c4]Gal Elidan, Stephen Gould:
Learning Bounded Treewidth Bayesian Networks. NIPS 2008: 417-424 - [c3]Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller:
Cascaded Classification Models: Combining Models for Holistic Scene Understanding. NIPS 2008: 641-648 - [c2]John C. Duchi, Stephen Gould, Daphne Koller:
Projected Subgradient Methods for Learning Sparse Gaussians. UAI 2008: 145-152 - 2007
- [c1]Stephen Gould, Joakim Arfvidsson, Adrian Kaehler, Benjamin Sapp, Marius Messner, Gary R. Bradski, Paul Baumstarck, Sukwon Chung, Andrew Y. Ng:
Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video. IJCAI 2007: 2115-2121
Coauthor Index
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