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2020 – today
- 2021
[i86]Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes. CoRR abs/2101.10994 (2021)- [i85]Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler:
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks. CoRR abs/2103.10429 (2021) - [i84]Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler:
gradSim: Differentiable simulation for system identification and visuomotor control. CoRR abs/2104.02646 (2021) - [i83]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, Jose M. Alvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. CoRR abs/2104.05702 (2021) - [i82]Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler:
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CoRR abs/2104.05833 (2021) - [i81]Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler:
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort. CoRR abs/2104.06490 (2021) - [i80]Yuan-Hong Liao, Amlan Kar, Sanja Fidler:
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets. CoRR abs/2104.12690 (2021) - [i79]Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler:
DriveGAN: Towards a Controllable High-Quality Neural Simulation. CoRR abs/2104.15060 (2021) - [i78]Rafid Mahmood, Sanja Fidler, Marc T. Law:
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach. CoRR abs/2106.02968 (2021) - 2020
- [j7]Maria Shugrina, Amlan Kar, Sanja Fidler, Karan Singh:
Nonlinear color triads for approximation, learning and direct manipulation of color distributions. ACM Trans. Graph. 39(4): 97 (2020) - [c110]Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler:
Learning to Simulate Dynamic Environments With GameGAN. CVPR 2020: 1228-1237 - [c109]Xi Yan, David Acuna, Sanja Fidler:
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. CVPR 2020: 3892-3901 - [c108]Wenzheng Chen, Parsa Mirdehghan, Sanja Fidler, Kiriakos N. Kutulakos:
Auto-Tuning Structured Light by Optical Stochastic Gradient Descent. CVPR 2020: 5969-5979 - [c107]Jonah Philion, Amlan Kar, Sanja Fidler:
Learning to Evaluate Perception Models Using Planner-Centric Metrics. CVPR 2020: 14052-14061 - [c106]Jonah Philion, Amlan Kar, Sanja Fidler:
Implementing Planning KL-Divergence. ECCV Workshops (6) 2020: 11-18 - [c105]Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler:
Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid. ECCV (9) 2020: 108-125 - [c104]Jonah Philion, Sanja Fidler:
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D. ECCV (14) 2020: 194-210 - [c103]Bowen Chen, Huan Ling, Xiaohui Zeng, Jun Gao, Ziyue Xu, Sanja Fidler:
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation. ECCV (13) 2020: 293-310 - [c102]Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh:
Expressive Telepresence via Modular Codec Avatars. ECCV (12) 2020: 330-345 - [c101]Jeevan Devaranjan, Amlan Kar, Sanja Fidler:
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation. ECCV (17) 2020: 715-733 - [c100]Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler:
Interactive Annotation of 3D Object Geometry Using 2D Scribbles. ECCV (17) 2020: 751-767 - [c99]Tianshi Cao, Marc T. Law, Sanja Fidler:
A Theoretical Analysis of the Number of Shots in Few-Shot Learning. ICLR 2020 - [c98]Wei Yu, Yichao Lu, Steve Easterbrook, Sanja Fidler:
Efficient and Information-Preserving Future Frame Prediction and Beyond. ICLR 2020 - [c97]Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler:
Federated Simulation for Medical Imaging. MICCAI (1) 2020: 159-168 - [c96]Jun Gao, Wenzheng Chen, Tommy Xiang, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Learning Deformable Tetrahedral Meshes for 3D Reconstruction. NeurIPS 2020 - [c95]Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler:
Variational Amodal Object Completion. NeurIPS 2020 - [i77]Xi Yan, David Acuna, Sanja Fidler:
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. CoRR abs/2001.02799 (2020) - [i76]Jonah Philion, Amlan Kar, Sanja Fidler:
Learning to Evaluate Perception Models Using Planner-Centric Metrics. CoRR abs/2004.08745 (2020) - [i75]Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray:
The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines. CoRR abs/2005.00343 (2020) - [i74]Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler:
Learning to Simulate Dynamic Environments with GameGAN. CoRR abs/2005.12126 (2020) - [i73]Jonah Philion, Sanja Fidler:
Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D. CoRR abs/2008.05711 (2020) - [i72]Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, Hao Li:
Learning to Generate Diverse Dance Motions with Transformer. CoRR abs/2008.08171 (2020) - [i71]Jeevan Devaranjan, Amlan Kar, Sanja Fidler:
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation. CoRR abs/2008.09092 (2020) - [i70]Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler:
Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid. CoRR abs/2008.09269 (2020) - [i69]Bowen Chen, Huan Ling, Xiaohui Zeng, Gao Jun, Ziyue Xu, Sanja Fidler:
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation. CoRR abs/2008.09721 (2020) - [i68]Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler:
Interactive Annotation of 3D Object Geometry using 2D Scribbles. CoRR abs/2008.10719 (2020) - [i67]Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh:
Expressive Telepresence via Modular Codec Avatars. CoRR abs/2008.11789 (2020) - [i66]Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler:
Fed-Sim: Federated Simulation for Medical Imaging. CoRR abs/2009.00668 (2020) - [i65]Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler:
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. CoRR abs/2010.09125 (2020) - [i64]Yiluan Guo, Holger Caesar, Oscar Beijbom, Jonah Philion, Sanja Fidler:
The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes. CoRR abs/2010.09350 (2020) - [i63]Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba:
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. CoRR abs/2010.09890 (2020) - [i62]Jun Gao, Wenzheng Chen, Tommy Xiang, Clement Fuji Tsang, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Learning Deformable Tetrahedral Meshes for 3D Reconstruction. CoRR abs/2011.01437 (2020) - [i61]Avik Pal, Jonah Philion, Yuan-Hong Liao, Sanja Fidler:
Emergent Road Rules In Multi-Agent Driving Environments. CoRR abs/2011.10753 (2020) - [i60]Tingwu Wang, Yunrong Guo, Maria Shugrina, Sanja Fidler:
UniCon: Universal Neural Controller For Physics-based Character Motion. CoRR abs/2011.15119 (2020) - [i59]Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez:
Personalized Federated Learning with First Order Model Optimization. CoRR abs/2012.08565 (2020)
2010 – 2019
- 2019
- [j6]Bolei Zhou
, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso, Antonio Torralba:
Semantic Understanding of Scenes Through the ADE20K Dataset. Int. J. Comput. Vis. 127(3): 302-321 (2019) - [c94]Maria Shugrina, Wenjia Zhang, Fanny Chevalier, Sanja Fidler, Karan Singh:
Color Builder: A Direct Manipulation Interface for Versatile Color Theme Authoring. CHI 2019: 456 - [c93]Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler:
Fast Interactive Object Annotation With Curve-GCN. CVPR 2019: 5257-5266 - [c92]Maria Shugrina, Ziheng Liang, Amlan Kar, Jiaman Li, Angad Singh, Karan Singh, Sanja Fidler:
Creative Flow+ Dataset. CVPR 2019: 5384-5393 - [c91]Yuan-Hong Liao, Xavier Puig, Marko Boben, Antonio Torralba, Sanja Fidler:
Synthesizing Environment-Aware Activities via Activity Sketches. CVPR 2019: 6291-6299 - [c90]Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun:
DARNet: Deep Active Ray Network for Building Segmentation. CVPR 2019: 7431-7439 - [c89]Zian Wang, David Acuna, Huan Ling, Amlan Kar, Sanja Fidler:
Object Instance Annotation With Deep Extreme Level Set Evolution. CVPR 2019: 7500-7508 - [c88]Davide Moltisanti, Sanja Fidler, Dima Damen:
Action Recognition From Single Timestamp Supervision in Untrimmed Videos. CVPR 2019: 9915-9924 - [c87]David Acuna, Amlan Kar, Sanja Fidler:
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations. CVPR 2019: 11075-11083 - [c86]Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun:
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. ICCV 2019: 3928-3937 - [c85]Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. ICCV 2019: 4521-4529 - [c84]Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler:
Meta-Sim: Learning to Generate Synthetic Datasets. ICCV 2019: 4550-4559 - [c83]Makarand Tapaswi, Marc T. Law, Sanja Fidler:
Video Face Clustering With Unknown Number of Clusters. ICCV 2019: 5026-5035 - [c82]Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler:
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. ICCV 2019: 5228-5237 - [c81]Tingke Shen, Amlan Kar, Sanja Fidler:
Learning to Caption Images Through a Lifetime by Asking Questions. ICCV 2019: 10392-10401 - [c80]Seung Wook Kim, Makarand Tapaswi, Sanja Fidler:
Visual Reasoning by Progressive Module Networks. ICLR (Poster) 2019 - [c79]Tingwu Wang, Yuhao Zhou, Sanja Fidler, Jimmy Ba:
Neural Graph Evolution: Towards Efficient Automatic Robot Design. ICLR (Poster) 2019 - [c78]Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang:
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. ICML 2019: 6566-6575 - [c77]Wenzheng Chen, Huan Ling, Jun Gao, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler:
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. NeurIPS 2019: 9605-9616 - [c76]Aryan Arbabi, David R. Adams, Sanja Fidler, Michael Brudno:
Identifying Clinical Terms in Free-Text Notes Using Ontology-Guided Machine Learning. RECOMB 2019: 19-34 - [i58]Harris Chan, Yuhuai Wu, Jamie Kiros, Sanja Fidler, Jimmy Ba:
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning. CoRR abs/1902.04546 (2019) - [i57]Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler:
Fast Interactive Object Annotation with Curve-GCN. CoRR abs/1903.06874 (2019) - [i56]Jun Gao, Xiao Li, Liwei Wang, Sanja Fidler, Stephen Lin:
Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing. CoRR abs/1903.11248 (2019) - [i55]Davide Moltisanti, Sanja Fidler, Dima Damen:
Action Recognition from Single Timestamp Supervision in Untrimmed Videos. CoRR abs/1904.04689 (2019) - [i54]David Acuna, Amlan Kar, Sanja Fidler:
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations. CoRR abs/1904.07934 (2019) - [i53]Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler:
Meta-Sim: Learning to Generate Synthetic Datasets. CoRR abs/1904.11621 (2019) - [i52]Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun:
DARNet: Deep Active Ray Network for Building Segmentation. CoRR abs/1905.05889 (2019) - [i51]Chaoqi Wang, Roger B. Grosse, Sanja Fidler, Guodong Zhang:
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis. CoRR abs/1905.05934 (2019) - [i50]Tingwu Wang, Yuhao Zhou, Sanja Fidler, Jimmy Ba:
Neural Graph Evolution: Towards Efficient Automatic Robot Design. CoRR abs/1906.05370 (2019) - [i49]Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler:
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. CoRR abs/1907.05740 (2019) - [i48]Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler:
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer. CoRR abs/1908.01210 (2019) - [i47]Makarand Tapaswi, Marc T. Law, Sanja Fidler:
Video Face Clustering with Unknown Number of Clusters. CoRR abs/1908.03381 (2019) - [i46]Tianshi Cao, Marc T. Law, Sanja Fidler:
A Theoretical Analysis of the Number of Shots in Few-Shot Learning. CoRR abs/1909.11722 (2019) - [i45]Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun:
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. CoRR abs/1909.12471 (2019) - [i44]Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. CoRR abs/1910.02055 (2019) - [i43]Wei Yu, Yichao Lu, Steve Easterbrook, Sanja Fidler:
CrevNet: Conditionally Reversible Video Prediction. CoRR abs/1910.11577 (2019) - [i42]Krishna Murthy Jatavallabhula, Edward J. Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, Sanja Fidler:
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research. CoRR abs/1911.05063 (2019) - [i41]Atef Chaudhury, Makarand Tapaswi, Seung Wook Kim, Sanja Fidler:
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries. CoRR abs/1912.13082 (2019) - 2018
- [j5]Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Huimin Ma, Sanja Fidler, Raquel Urtasun:
3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1259-1272 (2018) - [c75]Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler:
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives. BMVC 2018: 12 - [c74]David Acuna, Huan Ling, Amlan Kar, Sanja Fidler:
Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++. CVPR 2018: 859-868 - [c73]Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler:
Learning to Act Properly: Predicting and Explaining Affordances From Images. CVPR 2018: 975-983 - [c72]Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
SurfConv: Bridging 3D and 2D Convolution for RGBD Images. CVPR 2018: 3002-3011 - [c71]Hang Chu, Daiqing Li, Sanja Fidler:
A Face-to-Face Neural Conversation Model. CVPR 2018: 7113-7121 - [c70]Yuhao Zhou, Makarand Tapaswi, Sanja Fidler:
Now You Shake Me: Towards Automatic 4D Cinema. CVPR 2018: 7425-7434 - [c69]Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba:
VirtualHome: Simulating Household Activities via Programs. CVPR 2018: 8494-8502 - [c68]Paul Vicol, Makarand Tapaswi, Lluís Castrejón, Sanja Fidler:
MovieGraphs: Towards Understanding Human-Centric Situations From Videos. CVPR 2018: 8581-8590 - [c67]Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray:
Scaling Egocentric Vision: The Dataset. ECCV (4) 2018: 753-771 - [c66]Tingwu Wang, Renjie Liao, Jimmy Ba, Sanja Fidler:
NerveNet: Learning Structured Policy with Graph Neural Networks. ICLR (Poster) 2018 - [c65]Enric Corona, Kaustav Kundu, Sanja Fidler:
Pose Estimation for Objects with Rotational Symmetry. IROS 2018: 7215-7222 - [c64]Bo Dai, Sanja Fidler, Dahua Lin:
A Neural Compositional Paradigm for Image Captioning. NeurIPS 2018: 656-666 - [i40]David Acuna, Huan Ling, Amlan Kar, Sanja Fidler:
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++. CoRR abs/1803.09693 (2018) - [i39]Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray:
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset. CoRR abs/1804.02748 (2018) - [i38]Seung Wook Kim, Makarand Tapaswi, Sanja Fidler:
Progressive Reasoning by Module Composition. CoRR abs/1806.02453 (2018) - [i37]Maria Shugrina, Amlan Kar, Karan Singh, Sanja Fidler:
Color Sails: Discrete-Continuous Palettes for Deep Color Exploration. CoRR abs/1806.02918 (2018) - [i36]Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba:
VirtualHome: Simulating Household Activities via Programs. CoRR abs/1806.07011 (2018) - [i35]Enric Corona, Kaustav Kundu, Sanja Fidler:
Pose Estimation for Objects with Rotational Symmetry. CoRR abs/1810.05780 (2018) - [i34]Bo Dai, Sanja Fidler, Dahua Lin:
A Neural Compositional Paradigm for Image Captioning. CoRR abs/1810.09630 (2018) - [i33]Kevin Shen, Amlan Kar, Sanja Fidler:
Lifelong Learning for Image Captioning by Asking Natural Language Questions. CoRR abs/1812.00235 (2018) - [i32]Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
SurfConv: Bridging 3D and 2D Convolution for RGBD Images. CoRR abs/1812.01519 (2018) - [i31]Hang Chu, Daiqing Li, Sanja Fidler:
A Face-to-Face Neural Conversation Model. CoRR abs/1812.01525 (2018) - 2017
- [c63]Namdar Homayounfar, Sanja Fidler, Raquel Urtasun:
Sports Field Localization via Deep Structured Models. CVPR 2017: 4012-4020 - [c62]Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
Annotating Object Instances with a Polygon-RNN. CVPR 2017: 4485-4493 - [c61]Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba:
Scene Parsing through ADE20K Dataset. CVPR 2017: 5122-5130 - [c60]Shizhan Zhu, Sanja Fidler, Raquel Urtasun, Dahua Lin, Chen Change Loy:
Be Your Own Prada: Fashion Synthesis with Structural Coherence. ICCV 2017: 1689-1697 - [c59]Hang Zhao, Xavier Puig, Bolei Zhou, Sanja Fidler, Antonio Torralba:
Open Vocabulary Scene Parsing. ICCV 2017: 2021-2029 - [c58]Bo Dai, Sanja Fidler, Raquel Urtasun, Dahua Lin:
Towards Diverse and Natural Image Descriptions via a Conditional GAN. ICCV 2017: 2989-2998 - [c57]Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun:
TorontoCity: Seeing the World with a Million Eyes. ICCV 2017: 3028-3036 - [c56]Shu Liu, Jiaya Jia, Sanja Fidler, Raquel Urtasun:
SGN: Sequential Grouping Networks for Instance Segmentation. ICCV 2017: 3516-3524 - [c55]Ruiyu Li, Makarand Tapaswi, Renjie Liao, Jiaya Jia, Raquel Urtasun, Sanja Fidler:
Situation Recognition with Graph Neural Networks. ICCV 2017: 4183-4192 - [c54]Xiaojuan Qi, Renjie Liao, Jiaya Jia, Sanja Fidler, Raquel Urtasun:
3D Graph Neural Networks for RGBD Semantic Segmentation. ICCV 2017: 5209-5218 - [c53]Hang Chu, Raquel Urtasun, Sanja Fidler:
Song From PI: A Musically Plausible Network for Pop Music Generation. ICLR (Workshop) 2017 - [c52]Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun:
Find your way by observing the sun and other semantic cues. ICRA 2017: 6292-6299 - [c51]Huan Ling, Sanja Fidler:
Teaching Machines to Describe Images with Natural Language Feedback. NIPS 2017: 5068-5078 - [i30]Bo Dai, Dahua Lin, Raquel Urtasun, Sanja Fidler:
Towards Diverse and Natural Image Descriptions via a Conditional GAN. CoRR abs/1703.06029 (2017) - [i29]Hang Zhao, Xavier Puig, Bolei Zhou, Sanja Fidler, Antonio Torralba:
Open Vocabulary Scene Parsing. CoRR abs/1703.08769 (2017) - [i28]Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
Annotating Object Instances with a Polygon-RNN. CoRR abs/1704.05548 (2017) - [i27]Huan Ling, Sanja Fidler:
Teaching Machines to Describe Images via Natural Language Feedback. CoRR abs/1706.00130 (2017) - [i26]Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler:
VSE++: Improved Visual-Semantic Embeddings. CoRR abs/1707.05612 (2017) - [i25]Ruiyu Li, Makarand Tapaswi, Renjie Liao, Jiaya Jia, Raquel Urtasun, Sanja Fidler:
Situation Recognition with Graph Neural Networks. CoRR abs/1708.04320 (2017) - [i24]Shizhan Zhu, Sanja Fidler, Raquel Urtasun, Dahua Lin, Chen Change Loy:
Be Your Own Prada: Fashion Synthesis with Structural Coherence. CoRR abs/1710.07346 (2017) - [i23]Paul Vicol, Makarand Tapaswi, Lluís Castrejón, Sanja Fidler:
MovieGraphs: Towards Understanding Human-Centric Situations from Videos. CoRR abs/1712.06761 (2017) - [i22]Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler:
Learning to Act Properly: Predicting and Explaining Affordances from Images. CoRR abs/1712.07576 (2017) - 2016
- [j4]Roozbeh Mottaghi, Sanja Fidler, Alan L. Yuille, Raquel Urtasun, Devi Parikh:
Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 74-87 (2016) - [c50]