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Stephen Gould
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2020 – today
- 2024
- [j23]Yunzhong Hou
, Stephen Gould
, Liang Zheng
:
View-coherent correlation consistency for semi-supervised semantic segmentation. Pattern Recognit. 147: 110089 (2024) - [j22]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) - [c107]Kai Xi, Stephen Gould, Sylvie Thiébaux:
Neuro-Symbolic Learning of Lifted Action Models from Visual Traces. ICAPS 2024: 653-662 - [c106]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. ICLR 2024 - [c105]Weijian Deng, Dylan Campbell, Chunyi Sun, Shubham Kanitkar, Matthew 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 - [i88]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) - [i87]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) - [i86]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) - [i85]Ming Xu, Stephen Gould:
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation. CoRR abs/2404.01518 (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, Jose M. Alvarez, 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, Jose M. Alvarez:
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, Jose M. Alvarez:
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
aka: Mohammad Sadegh Aliakbarian
aka: Fatemeh Sadat Saleh
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