David J. Fleet

208 papers A* 45A 8B 2Journal 115Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
360Anything: Geometry-Free Lifting of Images and Videos to 360°.
CoRR
Ziyi Wu, Daniel Watson, Andrea Tagliasacchi, David J. Fleet, Marcus A. Brubaker, Saurabh Saxena
2025 A* conf
Controlling Space and Time with Diffusion Models.
ICLR
Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David J. Fleet
2025 A* conf
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion.
AAAI
Junhwa Hur, Charles Herrmann, Saurabh Saxena, Janne Kontkanen, Wei-Sheng Lai, Yichang Shih, Michael Rubinstein, David J. Fleet, Deqing Sun
2025 J jnl
Personalized Video-Based Hand Taxonomy Using Egocentric Video in the Wild.
IEEE J. Biomed. Health Informatics
Mehdy Dousty, David J. Fleet, José Zariffa
2025 J jnl
Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery.
CoRR
Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
2025 J jnl
SpotLessSplats: Ignoring Distractors in 3D Gaussian Splatting.
ACM Trans. Graph.
Sara Sabour, Lily Goli, George Kopanas, Mark J. Matthews, Dmitry Lagun, Leonidas J. Guibas, Alec Jacobson, David J. Fleet, Andrea Tagliasacchi
2025 J jnl
Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation.
CoRR
Farzaneh Mahdisoltani, Saeed Mahdisoltani, Roger B. Grosse, David J. Fleet
2025 J jnl
TxGemma: Efficient and Agentic LLMs for Therapeutics.
CoRR
Eric Wang, Samuel Schmidgall, Paul F. Jaeger, Fan Zhang, Rory Pilgrim, Yossi Matias, Joelle K. Barral, David J. Fleet, Shekoofeh Azizi
2024 J jnl
A Personalized Video-Based Hand Taxonomy: Application for Individuals with Spinal Cord Injury.
CoRR
Mehdy Dousty, David J. Fleet, José Zariffa
2024 J jnl
Advancing Multimodal Medical Capabilities of Gemini.
CoRR
Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden
2024 J jnl
Controlling Space and Time with Diffusion Models.
CoRR
Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David J. Fleet
2024 A* conf
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference.
NeurIPS
Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
2024 A* conf
Directly Fine-Tuning Diffusion Models on Differentiable Rewards.
ICLR
Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
2024 J jnl
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models.
CoRR
Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Shixin Luo, Zarana Parekh, Andrew Bunner, Hongliang Fei, Roopal Garg, Mandy Guo, Ivana Kajic, Yeqing Li, Henna Nandwani, Jordi Pont-Tuset, Yasumasa Onoe, Sarah Rosston, Su Wang, Wenlei Zhou, Kevin Swersky, David J. Fleet, Jason M. Baldridge, Oliver Wang
2024 J jnl
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models.
Trans. Mach. Learn. Res.
Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Yeqing Li, Shixin Luo, Yasumasa Onoe, Zarana Parekh, Ivana Kajic, Mandy Guo, Wenlei Zhou, Sarah Rosston, Roopal Garg, Hongliang Fei, Jordi Pont-Tuset, Su Wang, Henna Nandwani, Andrew Bunner, Kevin Swersky, David J. Fleet, Oliver Wang, Jason M. Baldridge
2024 J jnl
Hand Grasp Classification in Egocentric Video After Cervical Spinal Cord Injury.
IEEE J. Biomed. Health Informatics
Mehdy Dousty, David J. Fleet, José Zariffa
2024 J jnl
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion.
CoRR
Junhwa Hur, Charles Herrmann, Saurabh Saxena, Janne Kontkanen, Wei-Sheng Lai, Yichang Shih, Michael Rubinstein, David J. Fleet, Deqing Sun
2024 J jnl
Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference.
CoRR
Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
2024 J jnl
RoMo: Robust Motion Segmentation Improves Structure from Motion.
CoRR
Lily Goli, Sara Sabour, Mark J. Matthews, Marcus A. Brubaker, Dmitry Lagun, Alec Jacobson, David J. Fleet, Saurabh Saxena, Andrea Tagliasacchi
2024 J jnl
SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting.
CoRR
Sara Sabour, Lily Goli, George Kopanas, Mark J. Matthews, Dmitry Lagun, Leonidas J. Guibas, Alec Jacobson, David J. Fleet, Andrea Tagliasacchi
2024 J jnl
Tx-LLM: A Large Language Model for Therapeutics.
CoRR
Juan Manuel Zambrano Chaves, Eric Wang, Tao Tu, Eeshit Dhaval Vaishnav, Byron Lee, S. Sara Mahdavi, Christopher Semturs, David J. Fleet, Vivek Natarajan, Shekoofeh Azizi
2023 A* conf
A Generalist Framework for Panoptic Segmentation of Images and Videos.
ICCV
Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet
2023 J jnl
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild.
CoRR
Hshmat Sahak, Daniel Watson, Chitwan Saharia, David J. Fleet
2023 J jnl
Directly Fine-Tuning Diffusion Models on Differentiable Rewards.
CoRR
Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
2023 J jnl
Image Super-Resolution via Iterative Refinement.
IEEE Trans. Pattern Anal. Mach. Intell.
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
2023 A* conf
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.
CVPR
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
2023 J jnl
Monocular Depth Estimation using Diffusion Models.
CoRR
Saurabh Saxena, Abhishek Kar, Mohammad Norouzi, David J. Fleet
2023 A* conf
RobustNeRF: Ignoring Distractors with Robust Losses.
CVPR
Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi
2023 J jnl
RobustNeRF: Ignoring Distractors with Robust Losses.
CoRR
Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi
2023 A* conf
Scalable Adaptive Computation for Iterative Generation.
ICML
Allan Jabri, David J. Fleet, Ting Chen
2023 J jnl
Synthetic Data from Diffusion Models Improves ImageNet Classification.
CoRR
Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
2023 J jnl
Synthetic Data from Diffusion Models Improves ImageNet Classification.
Trans. Mach. Learn. Res.
Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
2023 A* conf
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation.
NeurIPS
Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet
2023 J jnl
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation.
CoRR
Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet
2023 J jnl
Towards Generalist Biomedical AI.
CoRR
Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan
2023 J jnl
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model.
CoRR
Saurabh Saxena, Junhwa Hur, Charles Herrmann, Deqing Sun, David J. Fleet
2022 J jnl
A Generalist Framework for Panoptic Segmentation of Images and Videos.
CoRR
Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet
2022 A* conf
A Unified Sequence Interface for Vision Tasks.
NeurIPS
Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
2022 J jnl
A Unified Sequence Interface for Vision Tasks.
CoRR
Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
2022 J jnl
Cascaded Diffusion Models for High Fidelity Image Generation.
J. Mach. Learn. Res.
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
2022 — conf
Disentangling Architecture and Training for Optical Flow.
ECCV (22)
Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman
2022 J jnl
Gaussian-Bernoulli RBMs Without Tears.
CoRR
Renjie Liao, Simon Kornblith, Mengye Ren, David J. Fleet, Geoffrey E. Hinton
2022 J jnl
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.
CoRR
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
2022 J jnl
Imagen Video: High Definition Video Generation with Diffusion Models.
CoRR
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey A. Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
2022 A* conf
Kubric: A scalable dataset generator.
CVPR
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
2022 J jnl
Kubric: A scalable dataset generator.
CoRR
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
2022 — conf
Palette: Image-to-Image Diffusion Models.
SIGGRAPH (Conference Paper Track)
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
2022 A* conf
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
NeurIPS
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
2022 J jnl
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
CoRR
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
2022 A* conf
Pix2seq: A Language Modeling Framework for Object Detection.
ICLR
Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton
2022 A* conf
Residual Multiplicative Filter Networks for Multiscale Reconstruction.
NeurIPS
Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
2022 J jnl
Residual Multiplicative Filter Networks for Multiscale Reconstruction.
CoRR
Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
2022 J jnl
Robust and Efficient Medical Imaging with Self-Supervision.
CoRR
Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zachary Beaver, Fiona Ryan, Justin Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Gregory S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan
2022 J jnl
Scalable Adaptive Computation for Iterative Generation.
CoRR
Allan Jabri, David J. Fleet, Ting Chen
2022 A* conf
Video Diffusion Models.
NeurIPS
Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
2022 J jnl
Video Diffusion Models.
CoRR
Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
2022 J jnl
What Makes RAFT Better Than PWC-Net?
CoRR
Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman
2021 J jnl
Bridging the Gap Between Adversarial Robustness and Optimization Bias.
CoRR
Fartash Faghri, Cristina Nader Vasconcelos, David J. Fleet, Fabian Pedregosa, Nicolas Le Roux
2021 J jnl
Cascaded Diffusion Models for High Fidelity Image Generation.
CoRR
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
2021 J jnl
Image Super-Resolution via Iterative Refinement.
CoRR
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
2021 — conf
Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss.
MLHC
Haiqi Wei, Frank Rudzicz, David J. Fleet, Teodor P. Grantcharov, Babak Taati
2021 J jnl
Palette: Image-to-Image Diffusion Models.
CoRR
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
2021 J jnl
Pix2seq: A Language Modeling Framework for Object Detection.
CoRR
Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton
2021 A* conf
Unsupervised Part Representation by Flow Capsules.
ICML
Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
2020 J jnl
A Study of Gradient Variance in Deep Learning.
CoRR
Fartash Faghri, David Duvenaud, David J. Fleet, Jimmy Ba
2020 A* conf
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation.
NeurIPS
Sajad Norouzi, David J. Fleet, Mohammad Norouzi
2020 J jnl
Exemplar VAEs for Exemplar based Generation and Data Augmentation.
CoRR
Sajad Norouzi, David J. Fleet, Mohammad Norouzi
2020 J jnl
SentenceMIM: A Latent Variable Language Model.
CoRR
Micha Livne, Kevin Swersky, David J. Fleet
2020 J jnl
Unsupervised part representation by Flow Capsules.
CoRR
Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
2019 A conf
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem.
UAI
Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
2019 J jnl
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem.
CoRR
Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
2019 J jnl
High Mutual Information in Representation Learning with Symmetric Variational Inference.
CoRR
Micha Livne, Kevin Swersky, David J. Fleet
2019 J jnl
MIM: Mutual Information Machine.
CoRR
Micha Livne, Kevin Swersky, David J. Fleet
2019 J jnl
TzK: Flow-Based Conditional Generative Model.
CoRR
Micha Livne, David J. Fleet
2018 J jnl
Fine-grained Video Classification and Captioning.
CoRR
Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, David J. Fleet, Roland Memisevic
2018 — conf
Hierarchical Video Understanding.
ECCV Workshops (4)
Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet
2018 J jnl
Hierarchical Video Understanding.
CoRR
Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet
2018 J jnl
TzK Flow - Conditional Generative Model.
CoRR
Micha Livne, David J. Fleet
2018 A conf
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives.
BMVC
Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler
2018 — conf
Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture.
CRV
Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet
2018 J jnl
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture.
CoRR
Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet
2017 J jnl
Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy.
IEEE Trans. Pattern Anal. Mach. Intell.
Ali Punjani, Marcus A. Brubaker, David J. Fleet
2017 J jnl
Subspace Selection to Suppress Confounding Source Domain Information in AAM Transfer Learning.
CoRR
Azin Asgarian, Ahmed Bilal Ashraf, David J. Fleet, Babak Taati
2017 B conf
Subspace selection to suppress confounding source domain information in AAM transfer learning.
IJCB
Azin Asgarian, Ahmed Bilal Ashraf, David J. Fleet, Babak Taati
2017 J jnl
VSE++: Improved Visual-Semantic Embeddings.
CoRR
Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler
2016 A* conf
Adversarial Manipulation of Deep Representations.
ICLR (Poster)
Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet
2016 J jnl
Guest Editorial: Human Activity Understanding from 2D and 3D Data.
Int. J. Comput. Vis.
Junsong Yuan, Wanqing Li, Zhengyou Zhang, David J. Fleet, Jamie Shotton
2015 J jnl
Building Proteins in a Day: Efficient 3D Molecular Reconstruction.
CoRR
Marcus A. Brubaker, Ali Punjani, David J. Fleet
2015 A* conf
Building proteins in a day: Efficient 3D molecular reconstruction.
CVPR
Marcus A. Brubaker, Ali Punjani, David J. Fleet
2015 J jnl
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits.
CoRR
Mohammad Norouzi, Maxwell D. Collins, David J. Fleet, Pushmeet Kohli
2015 J jnl
Editorial.
Comput. Vis. Image Underst.
Björn Stenger, Norimichi Ukita, Yoichi Sato, Pascal Fua, David J. Fleet
2015 — conf
Efficient Non-greedy Optimization of Decision Trees.
NIPS
Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli
2015 J jnl
Efficient Optimization for Sparse Gaussian Process Regression.
IEEE Trans. Pattern Anal. Mach. Intell.
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2015 J jnl
Efficient non-greedy optimization of decision trees.
CoRR
Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli
2015 J jnl
Transductive Log Opinion Pool of Gaussian Process Experts.
CoRR
Yanshuai Cao, David J. Fleet
2014 — ed.
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I
ECCV (1)
David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars
2014 — ed.
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part II
ECCV (2)
David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars
2014 — ed.
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part III
ECCV (3)
David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars
2014 — ed.
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV
ECCV (4)
David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars
2014 — ed.
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V
ECCV (5)
David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars
2014 — ed.
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI
ECCV (6)
David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars
2014 — ed.
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VII
ECCV (7)
David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars
2014 J jnl
Fast Exact Search in Hamming Space With Multi-Index Hashing.
IEEE Trans. Pattern Anal. Mach. Intell.
Mohammad Norouzi, Ali Punjani, David J. Fleet
2014 J jnl
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions.
CoRR
Yanshuai Cao, David J. Fleet
2014 A* conf
Posebits for Monocular Human Pose Estimation.
CVPR
Gerard Pons-Moll, David J. Fleet, Bodo Rosenhahn
2013 A* conf
Cartesian K-Means.
CVPR
Mohammad Norouzi, David J. Fleet
2013 — conf
Efficient Optimization for Sparse Gaussian Process Regression.
NIPS
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2013 J jnl
Efficient Optimization for Sparse Gaussian Process Regression.
CoRR
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2013 J jnl
Fast Exact Search in Hamming Space with Multi-Index Hashing.
CoRR
Mohammad Norouzi, Ali Punjani, David J. Fleet
2013 J jnl
Lattice Particle Filters
CoRR
Dirk Ormoneit, Christiane Lemieux, David J. Fleet
2012 A* conf
Fast search in Hamming space with multi-index hashing.
CVPR
Mohammad Norouzi, Ali Punjani, David J. Fleet
2012 — conf
Hamming Distance Metric Learning.
NIPS
Mohammad Norouzi, David J. Fleet, Ruslan Salakhutdinov
2012 J jnl
Human attributes from 3D pose tracking.
Comput. Vis. Image Underst.
Micha Livne, Leonid Sigal, Nikolaus F. Troje, David J. Fleet
2012 J jnl
Shared Kernel Information Embedding for Discriminative Inference.
IEEE Trans. Pattern Anal. Mach. Intell.
Roland Memisevic, Leonid Sigal, David J. Fleet
2011 J jnl
Bone graphs: Medial shape parsing and abstraction.
Comput. Vis. Image Underst.
Diego Macrini, Sven J. Dickinson, David J. Fleet, Kaleem Siddiqi
2011 A* conf
Minimal Loss Hashing for Compact Binary Codes.
ICML
Mohammad Norouzi, David J. Fleet
2011 J jnl
Model-Based 3D Hand Pose Estimation from Monocular Video.
IEEE Trans. Pattern Anal. Mach. Intell.
Martin de La Gorce, David J. Fleet, Nikos Paragios
2011 — ch.
Motion Models for People Tracking.
Visual Analysis of Humans
David J. Fleet
2011 J jnl
Object categorization using bone graphs.
Comput. Vis. Image Underst.
Diego Macrini, Sven J. Dickinson, David J. Fleet, Kaleem Siddiqi
2011 B conf
Simultaneous Tracking and Activity Recognition.
ICTAI
Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles
2010 A* conf
Dynamical binary latent variable models for 3D human pose tracking.
CVPR
Graham W. Taylor, Leonid Sigal, David J. Fleet, Geoffrey E. Hinton
2010 — conf
Human Attributes from 3D Pose Tracking.
ECCV (3)
Leonid Sigal, David J. Fleet, Nikolaus F. Troje, Micha Livne
2010 J jnl
Optimizing walking controllers for uncertain inputs and environments.
ACM Trans. Graph.
Jack M. Wang, David J. Fleet, Aaron Hertzmann
2010 J jnl
Physics-Based Person Tracking Using the Anthropomorphic Walker.
Int. J. Comput. Vis.
Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2010 — ch.
Video-Based People Tracking.
Handbook of Ambient Intelligence and Smart Environments
Marcus A. Brubaker, Leonid Sigal, David J. Fleet
2009 A conf
Backing Off: Hierarchical Decomposition of Activity for 3D Novel Pose Recovery.
BMVC
John Darby, Baihua Li, Nicholas Costen, David J. Fleet, Neil D. Lawrence
2009 A* conf
Estimating contact dynamics.
ICCV
Marcus A. Brubaker, Leonid Sigal, David J. Fleet
2009 J jnl
Optimizing walking controllers.
ACM Trans. Graph.
Jack M. Wang, David J. Fleet, Aaron Hertzmann
2009 — conf
Relations to improve multi-target tracking in an activity recognition system.
ICDP
Cristina E. Manfredotti, David J. Fleet, Enza Messina
2009 A* conf
Shared Kernel Information Embedding for discriminative inference.
CVPR
Leonid Sigal, Roland Memisevic, David J. Fleet
2009 A conf
Stochastic Image Denoising.
BMVC
Francisco J. Estrada, David J. Fleet, Allan D. Jepson
2009 J jnl
TurboPixels: Fast Superpixels Using Geometric Flows.
IEEE Trans. Pattern Anal. Mach. Intell.
Alex Levinshtein, Adrian Stere, Kiriakos N. Kutulakos, David J. Fleet, Sven J. Dickinson, Kaleem Siddiqi
2008 J jnl
Correction to "Gaussian Process Dynamical Models for Human Motion".
IEEE Trans. Pattern Anal. Mach. Intell.
Jack M. Wang, David J. Fleet, Aaron Hertzmann
2008 J jnl
Editorial-State of the Transactions.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet, Zoubin Ghahramani
2008 J jnl
Gaussian Process Dynamical Models for Human Motion.
IEEE Trans. Pattern Anal. Mach. Intell.
Jack M. Wang, David J. Fleet, Aaron Hertzmann
2008 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet, Zoubin Ghahramani
2008 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet, Zoubin Ghahramani
2008 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet, Zoubin Ghahramani
2008 J jnl
Introduction of New Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2008 A* conf
Model-based hand tracking with texture, shading and self-occlusions.
CVPR
Martin de La Gorce, Nikos Paragios, David J. Fleet
2008 A* conf
The Kneed Walker for human pose tracking.
CVPR
Marcus A. Brubaker, David J. Fleet
2008 A* conf
Topologically-constrained latent variable models.
ICML
Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence
2007 J jnl
Editorial-State of the Transactions.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2007 A conf
Higher-order Autoregressive Models for Dynamic Textures.
BMVC
Midori Hyndman, Allan D. Jepson, David J. Fleet
2007 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2007 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2007 — conf
Modeling Human Locomotion with Topologically Constrained Latent Variable Models.
Workshop on Human Motion
Raquel Urtasun, David J. Fleet, Neil D. Lawrence
2007 A* conf
Multifactor Gaussian process models for style-content separation.
ICML
Jack M. Wang, David J. Fleet, Aaron Hertzmann
2007 A* conf
Physics-Based Person Tracking Using Simplified Lower-Body Dynamics.
CVPR
Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
2007 J jnl
Special issue on spatial coherence for visual motion analysis.
Comput. Vis. Image Underst.
W. James MacLean, Nikos Paragios, David J. Fleet
2006 — conf
3D People Tracking with Gaussian Process Dynamical Models.
CVPR (1)
Raquel Urtasun, David J. Fleet, Pascal Fua
2006 J jnl
Editorial-State of the Transactions.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2006 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2006 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2006 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2006 — ch.
Optical Flow Estimation.
Handbook of Mathematical Models in Computer Vision
David J. Fleet, Y. Weiss
2006 J jnl
Temporal motion models for monocular and multiview 3D human body tracking.
Comput. Vis. Image Underst.
Raquel Urtasun, David J. Fleet, Pascal Fua
2005 — conf
Gaussian Process Dynamical Models.
NIPS
Jack M. Wang, David J. Fleet, Aaron Hertzmann
2005 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2005 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2005 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2005 J jnl
Introduction of New Associate Editors.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Kriegman, David J. Fleet
2005 A* conf
Learning Sensor Network Topology through Monte Carlo Expectation Maximization.
ICRA
Dimitri Marinakis, Gregory Dudek, David J. Fleet
2005 — conf
Monocular 3-D Tracking of the Golf Swing.
CVPR (2)
Raquel Urtasun, David J. Fleet, Pascal Fua
2005 — conf
Monocular 3D Tracking of the Golf Swing.
CVPR (2)
Raquel Urtasun, David J. Fleet, Pascal Fua
2005 A* conf
Priors for People Tracking from Small Training Sets.
ICCV
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, Pascal Fua
2004 J jnl
Perceptually-supported image editing of text and graphics.
ACM Trans. Graph.
Eric Saund, David J. Fleet, Daniel Larner, James Mahoney
2003 — conf
Error-in-variables likelihood functions for motion estimation.
ICIP (3)
Oscar Nestares, David J. Fleet
2003 A* conf
Perceptually-supported image editing of text and graphics.
UIST
Eric Saund, David J. Fleet, Daniel Larner, James Mahoney
2003 J jnl
Robust Online Appearance Models for Visual Tracking.
IEEE Trans. Pattern Anal. Mach. Intell.
Allan D. Jepson, David J. Fleet, Thomas F. El-Maraghi
2002 — conf
A Layered Motion Representation with Occlusion and Compact Spatial Support.
ECCV (1)
Allan D. Jepson, David J. Fleet, Michael J. Black
2002 — conf
A Probabilistic Theory of Occupancy and Emptiness.
ECCV (3)
Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulakos
2001 J jnl
Computing Optical Flow with Physical Models of Brightness Variation.
IEEE Trans. Pattern Anal. Mach. Intell.
Horst W. Haussecker, David J. Fleet
2001 A conf
Lattice Particle Filters.
UAI
Dirk Ormoneit, Christiane Lemieux, David J. Fleet
2001 A* conf
People Tracking Using Hybrid Monte Carlo Filtering.
ICCV
Kiam Choo, David J. Fleet
2001 — conf
Perceptual Organization as a Foundation for Graphics Recognition.
GREC
Eric Saund, James Mahoney, David J. Fleet, Daniel Larner
2001 — conf
Probabilistic Tracking of Motion Boundaries with Spatiotemporal Predictions.
CVPR (2)
Oscar Nestares, David J. Fleet
2001 — conf
Robust Online Appearance Models for Visual Tracking.
CVPR (1)
Allan D. Jepson, David J. Fleet, Thomas F. El-Maraghi
2000 A* conf
Computing Optical Flow with Physical Models of Brightness Variation.
CVPR
Horst W. Haussecker, David J. Fleet
2000 J jnl
Design and Use of Linear Models for Image Motion Analysis.
Int. J. Comput. Vis.
David J. Fleet, Michael J. Black, Yaser Yacoob, Allan D. Jepson
2000 J jnl
Disparity tuning as simulated by a neural net.
Biol. Cybern.
Jörg Lippert, David J. Fleet, Hermann Wagner
2000 A* conf
Likelihood Functions and Confidence Bounds for Total-Least-Squares Problems.
CVPR
Oscar Nestares, David J. Fleet, David J. Heeger
2000 J jnl
Probabilistic Detection and Tracking of Motion Boundaries.
Int. J. Comput. Vis.
Michael J. Black, David J. Fleet
2000 J jnl
Robustly Estimating Changes in Image Appearance.
Comput. Vis. Image Underst.
Michael J. Black, David J. Fleet, Yaser Yacoob
2000 — conf
Stochastic Tracking of 3D Human Figures Using 2D Image Motion.
ECCV (2)
Hedvig Sidenbladh, Michael J. Black, David J. Fleet
1999 A* conf
Probabilistic Detection and Tracking of Motion Discontinuities.
ICCV
Michael J. Black, David J. Fleet
1999 A conf
Spotlights: A Robust Method for Surface-Based Registration in Orthopedic Surgery.
MICCAI
Burton Ma, Randy E. Ellis, David J. Fleet
1998 A* conf
A Framework for Modeling Appearance Change in Image Sequences.
ICCV
Michael J. Black, David J. Fleet, Yaser Yacoob
1998 A* conf
Motion Feature Detection Using Steerable Flow Fields.
CVPR
David J. Fleet, Michael J. Black, Allan D. Jepson
1997 — conf
A method for evalutating CT-based surgical registration.
CVRMed
Randy E. Ellis, David J. Fleet, J. Tim Bryant, John F. Rudan, P. Fenton
1997 — conf
Binocular Information Processing in the Owl.
GI Jahrestagung
Robert Frans van der Willigen, Jörg Lippert, David J. Fleet, Hermann Wagner
1997 — conf
Embedding Invisible Information in Color Images.
ICIP (1)
David J. Fleet, David J. Heeger
1997 A* conf
Learning Parameterized Models of Image Motion.
CVPR
Michael J. Black, Yaser Yacoob, Allan D. Jepson, David J. Fleet
1995 J jnl
Recursive Filters for Optical Flow.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Fleet, Keith Langley
1994 J jnl
Performance of optical flow techniques.
Int. J. Comput. Vis.
John L. Barron, David J. Fleet, Steven S. Beauchemin
1994 — conf
Stable Estimation of Image Orientation.
ICIP (3)
Leif Haglund, David J. Fleet
1993 J jnl
Stability of Phase Information.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Fleet, Allan D. Jepson
1992 A* conf
Multiple motions from instantaneous frequency.
CVPR
Keith Langley, David J. Fleet, Tim J. Atherton
1992 A conf
On Transparent Motion Computation.
BMVC
Keith Langley, David J. Fleet, Tim J. Atherton
1992 A* conf
Performance of optical flow techniques.
CVPR
John L. Barron, David J. Fleet, Steven S. Beauchemin, T. A. Burkitt
1991 — —
Measurement of image velocity.
David J. Fleet
1991 J jnl
Phase singularities in scale-space.
Image Vis. Comput.
Allan D. Jepson, David J. Fleet
1991 J jnl
Phase-based disparity measurement.
CVGIP Image Underst.
David J. Fleet, Allan D. Jepson, Michael R. M. Jenkin
1990 J jnl
Computation of component image velocity from local phase information.
Int. J. Comput. Vis.
David J. Fleet, Allan D. Jepson
1990 A* conf
Scale-Space Singularities.
ECCV
Allan D. Jepson, David J. Fleet
1989 A* conf
Computation of normal velocity from local phase information.
CVPR
David J. Fleet, Allan D. Jepson
1989 J jnl
Hierarchical Construction of Orientation and Velocity Selective Filters.
IEEE Trans. Pattern Anal. Mach. Intell.
David J. Fleet, Allan D. Jepson
1988 — conf
Raum-zeitliche Filter für eine top-down Steuerung der Bewegungsanalyse.
GWAI
Michael Mohnhaupt, David J. Fleet