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2020 – today
- 2022
[i112]Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba:
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CoRR abs/2201.04684 (2022)- [i111]Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler:
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks. CoRR abs/2201.08459 (2022) - [i110]Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler:
Causal Scene BERT: Improving object detection by searching for challenging groups of data. CoRR abs/2202.03651 (2022) - [i109]David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler:
Domain Adversarial Training: A Game Perspective. CoRR abs/2202.05352 (2022) - [i108]Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany:
Learning Smooth Neural Functions via Lipschitz Regularization. CoRR abs/2202.08345 (2022) - [i107]Zhiqin Chen, Kangxue Yin, Sanja Fidler:
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis. CoRR abs/2204.03105 (2022) - [i106]Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, Jose M. Alvarez:
M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. CoRR abs/2204.05088 (2022) - [i105]Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, Sanja Fidler:
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters. CoRR abs/2205.01906 (2022) - [i104]Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler:
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CoRR abs/2206.02903 (2022) - [i103]Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler:
Variable Bitrate Neural Fields. CoRR abs/2206.07707 (2022) - 2021
- [j8]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. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4125-4141 (2021) - [c135]Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler:
Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks. CVPR 2021: 3204-3215 - [c134]Yuan-Hong Liao, Amlan Kar, Sanja Fidler:
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets. CVPR 2021: 4350-4359 - [c133]Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler:
DriveGAN: Towards a Controllable High-Quality Neural Simulation. CVPR 2021: 5820-5829 - [c132]Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler:
Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CVPR 2021: 8300-8311 - [c131]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. CVPR 2021: 10145-10155 - [c130]Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles T. Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes. CVPR 2021: 11358-11367 - [c129]Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, Sanja Fidler, Florian Shkurti:
Physics-based Human Motion Estimation and Synthesis from Videos. ICCV 2021: 11512-11521 - [c128]Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler:
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations. ICCV 2021: 12436-12445 - [c127]Zian Wang, Jonah Philion, Sanja Fidler, Jan Kautz:
Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting. ICCV 2021: 12518-12527 - [c126]Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler:
Causal BERT: Improving object detection by searching for challenging groups. ICCVW 2021: 2972-2981 - [c125]J. Krishna Murthy, 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. ICLR 2021 - [c124]Avik Pal, Jonah Philion, Yuan-Hong Liao, Sanja Fidler:
Emergent Road Rules In Multi-Agent Driving Environments. ICLR 2021 - [c123]Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba:
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. ICLR 2021 - [c122]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. ICLR 2021 - [c121]Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez:
Personalized Federated Learning with First Order Model Optimization. ICLR 2021 - [c120]David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler:
f-Domain Adversarial Learning: Theory and Algorithms. ICML 2021: 66-75 - [c119]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M. Alvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. ICML 2021: 1463-1472 - [c118]David Acuna, Jonah Philion, Sanja Fidler:
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation. NeurIPS 2021: 1686-1699 - [c117]Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler:
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. NeurIPS 2021: 6087-6101 - [c116]Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler:
Scalable Neural Data Server: A Data Recommender for Transfer Learning. NeurIPS 2021: 8984-8997 - [c115]Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler:
ATISS: Autoregressive Transformers for Indoor Scene Synthesis. NeurIPS 2021: 12013-12026 - [c114]Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis:
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. NeurIPS 2021: 12480-12492 - [c113]Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler:
EditGAN: High-Precision Semantic Image Editing. NeurIPS 2021: 16331-16345 - [c112]Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler:
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. NeurIPS 2021: 22834-22848 - [c111]Xiaohui Zeng, Raquel Urtasun, Richard S. Zemel, Sanja Fidler, Renjie Liao:
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation. UAI 2021: 1089-1099 - [i102]Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles T. 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) - [i101]Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler:
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks. CoRR abs/2103.10429 (2021) - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]Yuan-Hong Liao, Amlan Kar, Sanja Fidler:
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets. CoRR abs/2104.12690 (2021) - [i95]Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler:
DriveGAN: Towards a Controllable High-Quality Neural Simulation. CoRR abs/2104.15060 (2021) - [i94]Rafid Mahmood, Sanja Fidler, Marc T. Law:
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach. CoRR abs/2106.02968 (2021) - [i93]David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler:
f-Domain-Adversarial Learning: Theory and Algorithms. CoRR abs/2106.11344 (2021) - [i92]Xiaohui Zeng, Raquel Urtasun, Richard S. Zemel, Sanja Fidler, Renjie Liao:
NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation. CoRR abs/2106.13435 (2021) - [i91]Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler:
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations. CoRR abs/2108.12958 (2021) - [i90]Zian Wang, Jonah Philion, Sanja Fidler, Jan Kautz:
Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting. CoRR abs/2109.06061 (2021) - [i89]Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, Sanja Fidler, Florian Shkurti:
Physics-based Human Motion Estimation and Synthesis from Videos. CoRR abs/2109.09913 (2021) - [i88]Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler:
ATISS: Autoregressive Transformers for Indoor Scene Synthesis. CoRR abs/2110.03675 (2021) - [i87]Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler:
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. CoRR abs/2111.00140 (2021) - [i86]Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis:
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. CoRR abs/2111.01177 (2021) - [i85]Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler:
EditGAN: High-Precision Semantic Image Editing. CoRR abs/2111.03186 (2021) - [i84]Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler:
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. CoRR abs/2111.04276 (2021) - [i83]David Acuna, Jonah Philion, Sanja Fidler:
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation. CoRR abs/2111.07971 (2021) - [i82]Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler:
Extracting Triangular 3D Models, Materials, and Lighting From Images. CoRR abs/2111.12503 (2021) - [i81]Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. CoRR abs/2111.13674 (2021) - [i80]Sourav Biswas, Kangxue Yin, Maria Shugrina, Sanja Fidler, Sameh Khamis:
Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting. CoRR abs/2112.00958 (2021) - [i79]Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman:
Frame Averaging for Equivariant Shape Space Learning. CoRR abs/2112.01741 (2021) - [i78]Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany:
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CoRR abs/2112.05077 (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]