


Остановите войну!
for scientists:


default search action
Stephen Gould
Person information

Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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) - [c95]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 - [c94]Jaskirat Singh, Stephen Gould, Liang Zheng:
High-Fidelity Guided Image Synthesis with Latent Diffusion Models. CVPR 2023: 5997-6006 - [c93]Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Stephen Gould:
Octree Guided Unoriented Surface Reconstruction. CVPR 2023: 16717-16726 - [c92]Ming Xu, Sourav Garg, Michael Milford, Stephen Gould:
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths. ICLR 2023 - [c91]Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng:
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation. ICML 2023: 7658-7674 - [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, Ser. 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]