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ORCIDSanja Fidler
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- affiliation: NVIDIA, Toronto, Canada
- affiliation: University of Toronto, Canada
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2020 – today
- 2024
[j15]Francis Williams
, Jiahui Huang, Jonathan Swartz, Gergely Klár, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, Ken Museth:
fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence. ACM Trans. Graph. 43(4): 133:1-133:15 (2024)- [c184]Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams:
XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies. CVPR 2024: 4209-4219 - [c183]Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, Karsten Kreis:
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models. CVPR 2024: 8576-8588 - [c182]Chenfeng Xu, Huan Ling, Sanja Fidler, Or Litany:
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features. CVPR 2024: 10617-10627 - [c181]Dongsu Zhang, Francis Williams, Zan Gojcic, Karsten Kreis, Sanja Fidler, Young Min Kim, Amlan Kar:
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata. CVPR 2024: 20145-20154 - [c180]Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. ECCV (77) 2024: 305-322 - [c179]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. EMNLP 2024: 17028-17047 - [c178]Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler:
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. ICLR 2024 - [c177]Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler, Seung Wook Kim:
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models. ICLR 2024 - [c176]Jonah Philion, Xue Bin Peng, Sanja Fidler:
Trajeglish: Traffic Modeling as Next-Token Prediction. ICLR 2024 - [c175]Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis:
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space. ICLR 2024 - [c174]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. ICLR 2024 - [c173]Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis:
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models. ICML 2024 - [c172]Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng:
SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation. SIGGRAPH (Conference Paper Track) 2024: 121 - [i164]Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler, Seung Wook Kim:
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models. CoRR abs/2401.11739 (2024) - [i163]Aqeel Anwar, Tae Eun Choe, Zian Wang, Sanja Fidler, Minwoo Park:
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks. CoRR abs/2403.15370 (2024) - [i162]Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. CoRR abs/2403.15385 (2024) - [i161]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Can Feedback Enhance Semantic Grounding in Large Vision-Language Models? CoRR abs/2404.06510 (2024) - [i160]Ashkan Mirzaei, Riccardo de Lutio, Seung Wook Kim, David Acuna, Jonathan Kelly, Sanja Fidler, Igor Gilitschenski, Zan Gojcic:
RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting. CoRR abs/2404.10765 (2024) - [i159]Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis:
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models. CoRR abs/2404.14507 (2024) - [i158]Ruilong Li, Sanja Fidler, Angjoo Kanazawa, Francis Williams:
NeRF-XL: Scaling NeRFs with Multiple GPUs. CoRR abs/2404.16221 (2024) - [i157]Dongsu Zhang, Francis Williams, Zan Gojcic, Karsten Kreis, Sanja Fidler, Young Min Kim, Amlan Kar:
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata. CoRR abs/2406.08292 (2024) - [i156]Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling:
L4GM: Large 4D Gaussian Reconstruction Model. CoRR abs/2406.10324 (2024) - [i155]Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Péter Karkus:
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. CoRR abs/2406.12095 (2024) - [i154]Francis Williams, Jiahui Huang, Jonathan Swartz, Gergely Klár, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, Ken Museth:
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence. CoRR abs/2407.01781 (2024) - [i153]Nicolas Moënne-Loccoz, Ashkan Mirzaei, Or Perel, Riccardo de Lutio, Janick Martinez Esturo, Gavriel State, Sanja Fidler, Nicholas Sharp, Zan Gojcic:
3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes. CoRR abs/2407.07090 (2024) - [i152]Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng:
SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation. CoRR abs/2407.10481 (2024) - [i151]Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - [i150]Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang:
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. CoRR abs/2408.09702 (2024) - [i149]Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, Yue Wang:
OmniRe: Omni Urban Scene Reconstruction. CoRR abs/2408.16760 (2024) - [i148]Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna:
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. CoRR abs/2409.09788 (2024) - [i147]Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp:
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes. CoRR abs/2409.20562 (2024) - 2023
- [j14]Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. 2023 (2023) - [j13]Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao:
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. ACM Trans. Graph. 42(4): 37:1-37:16 (2023) - [j12]Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian:
Learning Physically Simulated Tennis Skills from Broadcast Videos. ACM Trans. Graph. 42(4): 95:1-95:14 (2023) - [j11]Zian Wang, Tianchang Shen, Merlin Nimier-David, Nicholas Sharp, Jun Gao, Alexander Keller, Sanja Fidler, Thomas Müller, Zan Gojcic:
Adaptive Shells for Efficient Neural Radiance Field Rendering. ACM Trans. Graph. 42(6): 260:1-260:15 (2023) - [c171]Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin:
Magic3D: High-Resolution Text-to-3D Content Creation. CVPR 2023: 300-309 - [c170]Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams:
Neural Kernel Surface Reconstruction. CVPR 2023: 4369-4379 - [c169]Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler:
Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes. CVPR 2023: 8370-8380 - [c168]Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler:
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CVPR 2023: 8496-8506 - [c167]Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar:
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion. CVPR 2023: 9087-9098 - [c166]Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany:
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CVPR 2023: 13756-13766 - [c165]Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis:
Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. CVPR 2023: 22563-22575 - [c164]Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin:
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. ICCV 2023: 4146-4158 - [c163]Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez:
Towards Viewpoint Robustness in Bird's Eye View Segmentation. ICCV 2023: 8481-8490 - [c162]Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler:
DreamTeacher: Pretraining Image Backbones with Deep Generative Models. ICCV 2023: 16652-16662 - [c161]Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas:
ATT3D: Amortized Text-to-3D Object Synthesis. ICCV 2023: 17900-17910 - [c160]Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany:
Neural LiDAR Fields for Novel View Synthesis. ICCV 2023: 18190-18200 - [c159]Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez:
End-to-end 3D Tracking with Decoupled Queries. ICCV 2023: 18256-18265 - [c158]Jingbo Wang, Ye Yuan, Zhengyi Luo, Kevin Xie, Dahua Lin, Umar Iqbal, Sanja Fidler, Sameh Khamis:
Learning Human Dynamics in Autonomous Driving Scenarios. ICCV 2023: 20739-20749 - [c157]Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael J. Black, Sanja Fidler, Xue Bin Peng:
Synthesizing Physical Character-Scene Interactions. SIGGRAPH (Conference Paper Track) 2023: 63:1-63:9 - [c156]Towaki Takikawa, Thomas Müller, Merlin Nimier-David, Alex Evans, Sanja Fidler, Alec Jacobson, Alexander Keller:
Compact Neural Graphics Primitives with Learned Hash Probing. SIGGRAPH Asia 2023: 120:1-120:10 - [i146]Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng:
PADL: Language-Directed Physics-Based Character Control. CoRR abs/2301.13868 (2023) - [i145]Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael J. Black, Sanja Fidler, Xue Bin Peng:
Synthesizing Physical Character-Scene Interactions. CoRR abs/2302.00883 (2023) - [i144]Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR abs/2302.04832 (2023) - [i143]Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar:
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion. CoRR abs/2302.12251 (2023) - [i142]Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany:
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CoRR abs/2304.01893 (2023) - [i141]Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler:
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes. CoRR abs/2304.03266 (2023) - [i140]Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis:
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. CoRR abs/2304.08818 (2023) - [i139]Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler:
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CoRR abs/2304.09787 (2023) - [i138]Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany:
Neural LiDAR Fields for Novel View Synthesis. CoRR abs/2305.01643 (2023) - [i137]Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams:
Neural Kernel Surface Reconstruction. CoRR abs/2305.19590 (2023) - [i136]Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas:
ATT3D: Amortized Text-to-3D Object Synthesis. CoRR abs/2306.07349 (2023) - [i135]Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler:
DreamTeacher: Pretraining Image Backbones with Deep Generative Models. CoRR abs/2307.07487 (2023) - [i134]Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao:
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. CoRR abs/2308.05371 (2023) - [i133]Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez:
Towards Viewpoint Robustness in Bird's Eye View Segmentation. CoRR abs/2309.05192 (2023) - [i132]Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin:
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. CoRR abs/2310.13772 (2023) - [i131]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. CoRR abs/2311.02077 (2023) - [i130]Chenfeng Xu, Huan Ling, Sanja Fidler, Or Litany:
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features. CoRR abs/2311.04391 (2023) - [i129]Zian Wang, Tianchang Shen, Merlin Nimier-David, Nicholas Sharp, Jun Gao, Alexander Keller, Sanja Fidler, Thomas Müller, Zan Gojcic:
Adaptive Shells for Efficient Neural Radiance Field Rendering. CoRR abs/2311.10091 (2023) - [i128]Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis:
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space. CoRR abs/2311.13570 (2023) - [i127]Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams:
XCube (X3): Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies. CoRR abs/2312.03806 (2023) - [i126]Jonah Philion, Xue Bin Peng, Sanja Fidler:
Trajeglish: Learning the Language of Driving Scenarios. CoRR abs/2312.04535 (2023) - [i125]Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, Karsten Kreis:
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models. CoRR abs/2312.13763 (2023) - [i124]Towaki Takikawa, Thomas Müller, Merlin Nimier-David, Alex Evans, Sanja Fidler, Alec Jacobson, Alexander Keller:
Compact Neural Graphics Primitives with Learned Hash Probing. CoRR abs/2312.17241 (2023) - 2022
- [j10]Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, Sanja Fidler:
ASE: large-scale reusable adversarial skill embeddings for physically simulated characters. ACM Trans. Graph. 41(4): 94:1-94:17 (2022) - [j9]Maria Shugrina, Chin-Ying Li, Sanja Fidler:
Neural Brushstroke Engine: Learning a Latent Style Space of Interactive Drawing Tools. ACM Trans. Graph. 41(6): 269:1-269:18 (2022) - [c155]Hassan Abu Alhaija, Alara Dirik, André Knörig, Sanja Fidler, Maria Shugrina:
XDGAN: Multi-Modal 3D Shape Generation in 2D Space. BMVC 2022: 782 - [c154]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR 2022: 275-284 - [c153]Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman:
Frame Averaging for Equivariant Shape Space Learning. CVPR 2022: 621-631 - [c152]Zhiqin Chen, Kangxue Yin, Sanja Fidler:
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis. CVPR 2022: 1455-1464 - [c151]Jacob Munkberg, Wenzheng Chen, Jon Hasselgren, Alex Evans, Tianchang Shen, Thomas Müller, Jun Gao, Sanja Fidler:
Extracting Triangular 3D Models, Materials, and Lighting From Images. CVPR 2022: 8270-8280 - [c150]Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler:
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CVPR 2022: 10620-10630 - [c149]Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany:
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CVPR 2022: 17284-17294 - [c148]Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. CVPR 2022: 18479-18489 - [c147]Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba:
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CVPR 2022: 21298-21308 - [c146]Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler:
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. ECCV (2) 2022: 380-397 - [c145]Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation. ECCV (2) 2022: 550-567 - [c144]David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler:
Domain Adversarial Training: A Game Perspective. ICLR 2022 - [c143]Rafid Mahmood, Sanja Fidler, Marc T. Law:
Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach. ICLR 2022 - [c142]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. NeurIPS 2022 - [c141]Ahmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar, Richard E. L. Higgins, Sanja Fidler, David Fouhey, Dima Damen:
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations. NeurIPS 2022 - [c140]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. NeurIPS 2022 - [c139]Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis:
LION: Latent Point Diffusion Models for 3D Shape Generation. NeurIPS 2022 - [c138]Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany:
Learning Smooth Neural Functions via Lipschitz Regularization. SIGGRAPH (Conference Paper Track) 2022: 31:1-31:13 - [c137]Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler:
Variable Bitrate Neural Fields. SIGGRAPH (Conference Paper Track) 2022: 41:1-41:9 - [c136]Jordan Juravsky, Yunrong Guo, Sanja Fidler, Xue Bin Peng:
PADL: Language-Directed Physics-Based Character Control. SIGGRAPH Asia 2022: 19:1-19:9 - [i123]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) - [i122]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) - [i121]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) - [i120]David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler:
Domain Adversarial Training: A Game Perspective. CoRR abs/2202.05352 (2022) - [i119]Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany:
Learning Smooth Neural Functions via Lipschitz Regularization. CoRR abs/2202.08345 (2022) - [i118]Zhiqin Chen, Kangxue Yin, Sanja Fidler:
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis. CoRR abs/2204.03105 (2022) - [i117]Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, José M. Álvarez:
M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. CoRR abs/2204.05088 (2022) - [i116]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) - [i115]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) - [i114]Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler:
Variable Bitrate Neural Fields. CoRR abs/2206.07707 (2022) - [i113]Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler:
Scalable Neural Data Server: A Data Recommender for Transfer Learning. CoRR abs/2206.09386 (2022) - [i112]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR abs/2207.01725 (2022) - [i111]Gary Leung, Jun Gao, Xiaohui Zeng, Sanja Fidler:
Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention. CoRR abs/2207.02126 (2022) - [i110]Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation. CoRR abs/2208.08580 (2022) - [i109]Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler:
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. CoRR abs/2208.09480 (2022) - [i108]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. CoRR abs/2209.11163 (2022) - [i107]Ahmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar, Richard E. L. Higgins, Sanja Fidler, David Fouhey, Dima Damen:
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations. CoRR abs/2209.13064 (2022) - [i106]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. CoRR abs/2210.01234 (2022) - [i105]Hassan Abu Alhaija, Alara Dirik, André Knörig, Sanja Fidler, Maria Shugrina:
XDGAN: Multi-Modal 3D Shape Generation in 2D Space. CoRR abs/2210.03007 (2022) - [i104]Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis:
LION: Latent Point Diffusion Models for 3D Shape Generation. CoRR abs/2210.06978 (2022) - [i103]Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin:
Magic3D: High-Resolution Text-to-3D Content Creation. CoRR abs/2211.10440 (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, José M. Álvarez:
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, José M. Álvarez:
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, José M. Álvarez:
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, José M. Álvarez:
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]Ziyu Zhang, Sanja Fidler, Raquel Urtasun:
Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs. CVPR 2016: 669-677 - [c49]Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, Raquel Urtasun:
Monocular 3D Object Detection for Autonomous Driving. CVPR 2016: 2147-2156 - [c48]Gellért Máttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun:
HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images. CVPR 2016: 3611-3619 - [c47]Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
MovieQA: Understanding Stories in Movies through Question-Answering. CVPR 2016: 4631-4640 - [c46]Hang Chu, Shenlong Wang, Raquel Urtasun, Sanja Fidler:
HouseCraft: Building Houses from Rental Ads and Street Views. ECCV (6) 2016: 500-516 - [c45]Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Proximal Deep Structured Models. NIPS 2016: 865-873 - [c44]Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun:
Order-Embeddings of Images and Language. ICLR 2016 - [i21]Namdar Homayounfar, Sanja Fidler, Raquel Urtasun:
Soccer Field Localization from a Single Image. CoRR abs/1604.02715 (2016) - [i20]Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun:
Find your Way by Observing the Sun and Other Semantic Cues. CoRR abs/1606.07415 (2016) - [i19]Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba:
Semantic Understanding of Scenes through the ADE20K Dataset. CoRR abs/1608.05442 (2016) - [i18]Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Huimin Ma, Sanja Fidler, Raquel Urtasun:
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection. CoRR abs/1608.07711 (2016) - [i17]Wenyuan Zeng, Wenjie Luo, Sanja Fidler, Raquel Urtasun:
Efficient Summarization with Read-Again and Copy Mechanism. CoRR abs/1611.03382 (2016) - [i16]Hang Chu, Raquel Urtasun, Sanja Fidler:
Song From PI: A Musically Plausible Network for Pop Music Generation. CoRR abs/1611.03477 (2016) - [i15]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. CoRR abs/1612.00423 (2016) - 2015
- [j3]Tom Sie Ho Lee, Sanja Fidler, Alex Levinshtein, Cristian Sminchisescu, Sven J. Dickinson:
A Framework for Symmetric Part Detection in Cluttered Scenes. Symmetry 7(3): 1333-1351 (2015) - [c43]Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun:
Generating Multi-sentence Natural Language Descriptions of Indoor Scenes. BMVC 2015: 93.1-93.13 - [c42]Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun:
Neuroaesthetics in fashion: Modeling the perception of fashionability. CVPR 2015: 869-877 - [c41]Jian Yao, Marko Boben, Sanja Fidler, Raquel Urtasun:
Real-time coarse-to-fine topologically preserving segmentation. CVPR 2015: 2947-2955 - [c40]Chenxi Liu, Alexander G. Schwing, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
Rent3D: Floor-plan priors for monocular layout estimation. CVPR 2015: 3413-3421 - [c39]Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Holistic 3D scene understanding from a single geo-tagged image. CVPR 2015: 3964-3972 - [c38]Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler:
segDeepM: Exploiting segmentation and context in deep neural networks for object detection. CVPR 2015: 4703-4711 - [c37]Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. ICCV 2015: 19-27 - [c36]Tom Sie Ho Lee, Sanja Fidler, Sven J. Dickinson:
Learning to Combine Mid-Level Cues for Object Proposal Generation. ICCV 2015: 1680-1688 - [c35]Gellért Máttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Enhancing Road Maps by Parsing Aerial Images Around the World. ICCV 2015: 1689-1697 - [c34]Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun:
Monocular Object Instance Segmentation and Depth Ordering with CNNs. ICCV 2015: 2614-2622 - [c33]Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Lost Shopping! Monocular Localization in Large Indoor Spaces. ICCV 2015: 2695-2703 - [c32]Lei Jimmy Ba, Kevin Swersky, Sanja Fidler, Ruslan Salakhutdinov:
Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions. ICCV 2015: 4247-4255 - [c31]Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G. Berneshawi, Huimin Ma, Sanja Fidler, Raquel Urtasun:
3D Object Proposals for Accurate Object Class Detection. NIPS 2015: 424-432 - [c30]Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Skip-Thought Vectors. NIPS 2015: 3294-3302 - [i14]Tom Sie Ho Lee, Sanja Fidler, Alex Levinshtein, Cristian Sminchisescu, Sven J. Dickinson:
A Framework for Symmetric Part Detection in Cluttered Scenes. CoRR abs/1502.01761 (2015) - [i13]Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler:
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection. CoRR abs/1502.04275 (2015) - [i12]Dahua Lin, Chen Kong, Sanja Fidler, Raquel Urtasun:
Generating Multi-Sentence Lingual Descriptions of Indoor Scenes. CoRR abs/1503.00064 (2015) - [i11]Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun:
Monocular Object Instance Segmentation and Depth Ordering with CNNs. CoRR abs/1505.03159 (2015) - [i10]Jimmy Ba, Kevin Swersky, Sanja Fidler, Ruslan Salakhutdinov:
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions. CoRR abs/1506.00511 (2015) - [i9]Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books. CoRR abs/1506.06724 (2015) - [i8]Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
Skip-Thought Vectors. CoRR abs/1506.06726 (2015) - [i7]Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
MovieQA: Understanding Stories in Movies through Question-Answering. CoRR abs/1512.02902 (2015) - [i6]Ziyu Zhang, Sanja Fidler, Raquel Urtasun:
Instance-Level Segmentation with Deep Densely Connected MRFs. CoRR abs/1512.06735 (2015) - 2014
- [c29]Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun:
A High Performance CRF Model for Clothes Parsing. ACCV (3) 2014: 64-81 - [c28]Tom Sie Ho Lee, Sanja Fidler, Sven J. Dickinson:
Multi-cue Mid-level Grouping. ACCV (3) 2014: 376-390 - [c27]Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, Alan L. Yuille:
The Role of Context for Object Detection and Semantic Segmentation in the Wild. CVPR 2014: 891-898 - [c26]Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan L. Yuille:
Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts. CVPR 2014: 1979-1986 - [c25]Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun:
Visual Semantic Search: Retrieving Videos via Complex Textual Queries. CVPR 2014: 2657-2664 - [c24]Liang-Chieh Chen, Sanja Fidler, Raquel Urtasun:
Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision. CVPR 2014: 3198-3205 - [c23]Chen Kong, Dahua Lin, Mohit Bansal, Raquel Urtasun, Sanja Fidler:
What Are You Talking About? Text-to-Image Coreference. CVPR 2014: 3558-3565 - [i5]Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan L. Yuille:
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts. CoRR abs/1406.2031 (2014) - [i4]Roozbeh Mottaghi, Sanja Fidler, Alan L. Yuille, Raquel Urtasun, Devi Parikh:
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding. CoRR abs/1406.3906 (2014) - [i3]Sanja Fidler, Marko Boben, Ales Leonardis:
Learning a Hierarchical Compositional Shape Vocabulary for Multi-class Object Representation. CoRR abs/1408.5516 (2014) - [i2]Andrei Barbu, Alexander Bridge, Zachary Burchill, Dan Coroian, Sven J. Dickinson, Sanja Fidler, Aaron Michaux, Sam Mussman, Siddharth Narayanaswamy, Dhaval Salvi, Lara Schmidt, Jiangnan Shangguan, Jeffrey Mark Siskind, Jarrell W. Waggoner, Song Wang, Jinlian Wei, Yifan Yin, Zhiqi Zhang:
Video In Sentences Out. CoRR abs/1408.6418 (2014) - 2013
- [c22]Sanja Fidler, Abhishek Sharma, Raquel Urtasun:
A Sentence Is Worth a Thousand Pixels. CVPR 2013: 1995-2002 - [c21]Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, Devi Parikh:
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs. CVPR 2013: 3143-3150 - [c20]Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, Raquel Urtasun:
Bottom-Up Segmentation for Top-Down Detection. CVPR 2013: 3294-3301 - [c19]Alexander G. Schwing, Sanja Fidler, Marc Pollefeys, Raquel Urtasun:
Box in the Box: Joint 3D Layout and Object Reasoning from Single Images. ICCV 2013: 353-360 - [c18]Dahua Lin, Sanja Fidler, Raquel Urtasun:
Holistic Scene Understanding for 3D Object Detection with RGBD Cameras. ICCV 2013: 1417-1424 - [c17]Tom Sie Ho Lee, Sanja Fidler, Sven J. Dickinson:
Detecting Curved Symmetric Parts Using a Deformable Disc Model. ICCV 2013: 1753-1760 - 2012
- [c16]Tom Sie Ho Lee, Sanja Fidler, Alex Levinshtein, Sven J. Dickinson:
Learning Categorical Shape from Captioned Images. CRV 2012: 228-235 - [c15]Jian Yao, Sanja Fidler, Raquel Urtasun:
Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation. CVPR 2012: 702-709 - [c14]Zhiqi Zhang, Sanja Fidler, Jarrell W. Waggoner, Yu Cao, Sven J. Dickinson, Jeffrey Mark Siskind, Song Wang:
Superedge grouping for object localization by combining appearance and shape information. CVPR 2012: 3266-3273 - [c13]Sanja Fidler, Sven J. Dickinson, Raquel Urtasun:
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model. NIPS 2012: 620-628 - [c12]Wesley May, Sanja Fidler, Afsaneh Fazly, Sven J. Dickinson, Suzanne Stevenson:
Unsupervised Disambiguation of Image Captions. *SEM@NAACL-HLT 2012: 85-89 - [c11]Andrei Barbu, Alexander Bridge, Zachary Burchill, Dan Coroian, Sven J. Dickinson, Sanja Fidler, Aaron Michaux, Sam Mussman, Siddharth Narayanaswamy, Dhaval Salvi, Lara Schmidt, Jiangnan Shangguan, Jeffrey Mark Siskind, Jarrell W. Waggoner, Song Wang, Jinlian Wei, Yifan Yin, Zhiqi Zhang:
Video In Sentences Out. UAI 2012: 102-112 - [i1]Andrei Barbu, Alexander Bridge, Zachary Burchill, Dan Coroian, Sven J. Dickinson, Sanja Fidler, Aaron Michaux, Sam Mussman, Siddharth Narayanaswamy, Dhaval Salvi, Lara Schmidt, Jiangnan Shangguan, Jeffrey Mark Siskind, Jarrell W. Waggoner, Song Wang, Jinlian Wei, Yifan Yin, Zhiqi Zhang:
Video In Sentences Out. CoRR abs/1204.2742 (2012) - 2011
- [c10]Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell:
A probabilistic model for recursive factorized image features. CVPR 2011: 401-408 - 2010
- [c9]Sanja Fidler, Marko Boben, Ales Leonardis:
A Coarse-to-Fine Taxonomy of Constellations for Fast Multi-class Object Detection. ECCV (5) 2010: 687-700 - [p1]Mario Fritz, Mykhaylo Andriluka, Sanja Fidler, Michael Stark, Ales Leonardis, Bernt Schiele:
Categorical Perception. Cognitive Systems 2010: 131-164
2000 – 2009
- 2009
- [c8]Sanja Fidler, Marko Boben, Ales Leonardis:
Optimization Framework for Learning a Hierarchical Shape Vocabulary for Object Class Detection. BMVC 2009: 1-12 - [c7]Sanja Fidler, Marko Boben, Ales Leonardis:
A bottom-up and top-down optimization framework for learning a compositional hierarchy of object classes. CVPR Workshops 2009: 3 - [c6]Sanja Fidler, Marko Boben, Ales Leonardis:
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection. NIPS 2009: 531-539 - 2008
- [j2]Luka Fürst, Sanja Fidler, Ales Leonardis:
Selecting features for object detection using an AdaBoost-compatible evaluation function. Pattern Recognit. Lett. 29(11): 1603-1612 (2008) - [c5]Sanja Fidler, Marko Boben, Ales Leonardis:
Similarity-based cross-layered hierarchical representation for object categorization. CVPR 2008 - 2007
- [c4]Sanja Fidler, Ales Leonardis:
Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts. CVPR 2007 - [c3]Ales Leonardis, Sanja Fidler:
Learning Hierarchical Representations of Object Categories for Robot Vision. ISRR 2007: 99-110 - 2006
- [j1]Sanja Fidler, Danijel Skocaj, Ales Leonardis:
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 337-350 (2006) - [c2]Sanja Fidler, Gregor Berginc, Ales Leonardis:
Hierarchical Statistical Learning of Generic Parts of Object Structure. CVPR (1) 2006: 182-189 - 2003
- [c1]Sanja Fidler, Ales Leonardis:
Robust LDA Classification by Subsampling. CVPR Workshops 2003: 97
Coauthor Index
[c111] [i92] [c90] [c86] [i52] [i45] [j5] [c72] [i32] [c63] [c62] [c60] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [i30] [i28] [i25] [i24] [j4] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [i21] [i20] [i18] [i17] [i16] [i15] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [c31] [c30] [i13] [i12] [i11] [i9] [i8] [i7] [i6] [c29] [c27] [c26] [c25] [c24] [c23] [i5] [i4] [c22] [c21] [c20] [c19] [c18] [c15] [c13]
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-15 20:36 CET by the dblp team
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