Fidler, Sanja

Scene Parsing through ADE20K Dataset

Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., & Torralba, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,326

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

Zhu, Y., Kiros, R., Zemel, R., Salakhutdinov, R., Urtasun, R., Torralba, A., & Fidler, S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 2,264

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Zhu, Y., Kiros, R., Zemel, R., Salakhutdinov, R., Urtasun, R., Torralba, A., & Fidler, S. (2015) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 2,264

Semantic Understanding of Scenes Through the ADE20K Dataset

Zhou, B., Zhao, H., Puig, X., Xiao, T., Fidler, S., Barriuso, A., & Torralba, A. (2019) · International Journal of Computer Vision

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,831

The Role of Context for Object Detection and Semantic Segmentation in the Wild

Mottaghi, R., Chen, X., Liu, X., Cho, N.-G., Lee, S.-W., Fidler, S., Urtasun, R., & Yuille, A. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,438

Skip-Thought Vectors

Kiros, R., Zhu, Y., Salakhutdinov, R., Zemel, R. S., Torralba, A., Urtasun, R., & Fidler, S. (2015) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 1,293

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D

Philion, J., & Fidler, S. (2020) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Vision and Imaging

Cited by 1,271

Monocular 3D Object Detection for Autonomous Driving

Chen, X., Kundu, K., Zhang, Z., Ma, H., Fidler, S., & Urtasun, R. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 1,019

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Blattmann, A., Rombach, R., Ling, H., Dockhorn, T., Kim, S. W., Fidler, S., & Kreis, K. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 724

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts

Chen, X., Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., & Yuille, A. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 605

3D Graph Neural Networks for RGBD Semantic Segmentation

Qi, X., Liao, R., Jia, J., Fidler, S., & Urtasun, R. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 482

VirtualHome: Simulating Household Activities Via Programs

Puig, X., Ra, K., Boben, M., Li, J., Wang, T., Fidler, S., & Torralba, A. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 378

Order-Embeddings of Images and Language

Vendrov, I., Kiros, R., Fidler, S., & Urtasun, R. (2015) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 296

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

Damen, D., Doughty, H., Farinella, G. M., Fidler, S., Furnari, A., Kazakos, E., Moltisanti, D., Munro, J., Perrett, T., Price, W., et al. (2018) · arXiv

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 274

DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

Zhang, Y., Ling, H., Gao, J., Yin, K., Lafleche, J.-F., Barriuso, A., Torralba, A., & Fidler, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 259

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras

Lin, D., Fidler, S., & Urtasun, R. (2013) · 2013 IEEE International Conference on Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 253

TorontoCity: Seeing the World with a Million Eyes

Wang, S., Bai, M., Mattyus, G., Chu, H., Luo, W., Yang, B., Liang, J., Cheverie, J., Fidler, S., & Urtasun, R. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Automated Road and Building ExtractionAdvanced Neural Network Applications

Cited by 186

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

NVIDIA, :, Alhaija, H. A., Alvarez, J., Bala, M., Cai, T., Cao, T., Cha, L., Chen, J., Chen, M., et al. (2025) · arXiv

Reinforcement Learning in RoboticsGenerative Adversarial Networks and Image Synthesis

Cited by 121

Rent3D: Floor-plan priors for monocular layout estimation

Liu, C., Schwing, A. G., Kundu, K., Urtasun, R., & Fidler, S. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

3D Surveying and Cultural HeritageAdvanced Vision and Imaging

Cited by 104

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion

Rempe, D., Luo, Z., Peng, X. B., Yuan, Y., Kitani, K., Kreis, K., Fidler, S., & Litany, O. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Motion and AnimationEvacuation and Crowd Dynamics

Cited by 97

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations

Li, D., Ling, H., Kim, S. W., Kreis, K., Fidler, S., & Torralba, A. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 83

Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation

Devaranjan, J., Kar, A., & Fidler, S. (2020) · Lecture Notes in Computer Science

Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization Techniques

Cited by 73

DriveGAN: Towards a Controllable High-Quality Neural Simulation

Kim, S. W., Philion, J., Torralba, A., & Fidler, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 72

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

Paschalidou, D., Kar, A., Shugrina, M., Kreis, K., Geiger, A., & Fidler, S. (2021) · arXiv

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 62