David J. Fleet

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 72

Top Venues

CoRR

NeurIPS

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Mehdy Dousty, David J. Fleet, José Zariffa
A Personalized Video-Based Hand Taxonomy: Application for Individuals with Spinal Cord Injury. CoRR (2024)
Sara Sabour, Lily Goli, George Kopanas, Mark J. Matthews, Dmitry Lagun, Leonidas J. Guibas, Alec Jacobson, David J. Fleet, Andrea Tagliasacchi
SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting. CoRR (2024)
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
Advancing Multimodal Medical Capabilities of Gemini. CoRR (2024)
Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. CoRR (2024)
Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David J. Fleet
Controlling Space and Time with Diffusion Models. CoRR (2024)
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
Tx-LLM: A Large Language Model for Therapeutics. CoRR (2024)
Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
Directly Fine-Tuning Diffusion Models on Differentiable Rewards. ICLR (2024)
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
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. CoRR (2024)
Mehdy Dousty, David J. Fleet, José Zariffa
Hand Grasp Classification in Egocentric Video After Cervical Spinal Cord Injury. IEEE J. Biomed. Health Informatics 28 (2) (2024)
Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
Directly Fine-Tuning Diffusion Models on Differentiable Rewards. CoRR (2023)
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
Image Super-Resolution via Iterative Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
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
Towards Generalist Biomedical AI. CoRR (2023)
Hshmat Sahak, Daniel Watson, Chitwan Saharia, David J. Fleet
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild. CoRR (2023)
Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
Synthetic Data from Diffusion Models Improves ImageNet Classification. Trans. Mach. Learn. Res. 2023 (2023)
Saurabh Saxena, Abhishek Kar, Mohammad Norouzi, David J. Fleet
Monocular Depth Estimation using Diffusion Models. CoRR (2023)
Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
Synthetic Data from Diffusion Models Improves ImageNet Classification. CoRR (2023)
Saurabh Saxena, Junhwa Hur, Charles Herrmann, Deqing Sun, David J. Fleet
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model. CoRR (2023)
Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi
RobustNeRF: Ignoring Distractors with Robust Losses. CVPR (2023)
Allan Jabri, David J. Fleet, Ting Chen
Scalable Adaptive Computation for Iterative Generation. ICML (2023)
Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation. CoRR (2023)
Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation. NeurIPS (2023)
Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi
RobustNeRF: Ignoring Distractors with Robust Losses. CoRR (2023)
Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet
A Generalist Framework for Panoptic Segmentation of Images and Videos. ICCV (2023)
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
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. CVPR (2023)
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
Robust and Efficient Medical Imaging with Self-Supervision. CoRR (2022)
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR (2022)
Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
Video Diffusion Models. CoRR (2022)
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
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. CoRR (2022)
Renjie Liao, Simon Kornblith, Mengye Ren, David J. Fleet, Geoffrey E. Hinton
Gaussian-Bernoulli RBMs Without Tears. CoRR (2022)
Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton
Pix2seq: A Language Modeling Framework for Object Detection. ICLR (2022)
Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman
Disentangling Architecture and Training for Optical Flow. ECCV (22) (2022)
Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
Residual Multiplicative Filter Networks for Multiscale Reconstruction. CoRR (2022)
Allan Jabri, David J. Fleet, Ting Chen
Scalable Adaptive Computation for Iterative Generation. CoRR (2022)
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
Kubric: A scalable dataset generator. CVPR (2022)
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
Cascaded Diffusion Models for High Fidelity Image Generation. J. Mach. Learn. Res. 23 (2022)
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
Imagen Video: High Definition Video Generation with Diffusion Models. CoRR (2022)
Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet
A Generalist Framework for Panoptic Segmentation of Images and Videos. CoRR (2022)
Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
Residual Multiplicative Filter Networks for Multiscale Reconstruction. NeurIPS (2022)
Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman
What Makes RAFT Better Than PWC-Net? CoRR (2022)
Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
Video Diffusion Models. NeurIPS (2022)
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
Kubric: A scalable dataset generator. CoRR (2022)
Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
A Unified Sequence Interface for Vision Tasks. CoRR (2022)
Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
A Unified Sequence Interface for Vision Tasks. NeurIPS (2022)
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
Palette: Image-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) (2022)
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
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. NeurIPS (2022)
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
Cascaded Diffusion Models for High Fidelity Image Generation. CoRR (2021)
Fartash Faghri, Cristina Vasconcelos, David J. Fleet, Fabian Pedregosa, Nicolas Le Roux
Bridging the Gap Between Adversarial Robustness and Optimization Bias. CoRR (2021)
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
Image Super-Resolution via Iterative Refinement. CoRR (2021)
Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton
Pix2seq: A Language Modeling Framework for Object Detection. CoRR (2021)
Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
Unsupervised Part Representation by Flow Capsules. ICML (2021)
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
Palette: Image-to-Image Diffusion Models. CoRR (2021)
Fartash Faghri, David Duvenaud, David J. Fleet, Jimmy Ba
A Study of Gradient Variance in Deep Learning. CoRR (2020)
Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
Unsupervised part representation by Flow Capsules. CoRR (2020)
Micha Livne, Kevin Swersky, David J. Fleet
SentenceMIM: A Latent Variable Language Model. CoRR (2020)
Sajad Norouzi, David J. Fleet, Mohammad Norouzi
Exemplar VAEs for Exemplar based Generation and Data Augmentation. CoRR (2020)
Sajad Norouzi, David J. Fleet, Mohammad Norouzi
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation. NeurIPS (2020)
Micha Livne, David J. Fleet
TzK: Flow-Based Conditional Generative Model. CoRR (2019)
Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem. CoRR (2019)
Micha Livne, Kevin Swersky, David J. Fleet
High Mutual Information in Representation Learning with Symmetric Variational Inference. CoRR (2019)
Micha Livne, Kevin Swersky, David J. Fleet
MIM: Mutual Information Machine. CoRR (2019)
Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem. UAI (2019)
Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet
Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture. CRV (2018)
Micha Livne, David J. Fleet
TzK Flow - Conditional Generative Model. CoRR (2018)
Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet
Hierarchical Video Understanding. CoRR (2018)
Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, David J. Fleet, Roland Memisevic
Fine-grained Video Classification and Captioning. CoRR (2018)
Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture. CoRR (2018)
Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet
Hierarchical Video Understanding. ECCV Workshops (4) (2018)
Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives. BMVC (2018)
Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler
VSE++: Improved Visual-Semantic Embeddings. CoRR (2017)
Ali Punjani, Marcus A. Brubaker, David J. Fleet
Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet
Adversarial Manipulation of Deep Representations. ICLR (Poster) (2016)
Junsong Yuan, Wanqing Li, Zhengyou Zhang, David J. Fleet, Jamie Shotton
Guest Editorial: Human Activity Understanding from 2D and 3D Data. Int. J. Comput. Vis. 118 (2) (2016)
Marcus A. Brubaker, Ali Punjani, David J. Fleet
Building Proteins in a Day: Efficient 3D Molecular Reconstruction. CoRR (2015)
Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli
Efficient Non-greedy Optimization of Decision Trees. NIPS (2015)
Marcus A. Brubaker, Ali Punjani, David J. Fleet
Building proteins in a day: Efficient 3D molecular reconstruction. CVPR (2015)
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
Efficient Optimization for Sparse Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 37 (12) (2015)
Björn Stenger, Norimichi Ukita, Yoichi Sato, Pascal Fua, David J. Fleet
Editorial. Comput. Vis. Image Underst. 141 (2015)
Yanshuai Cao, David J. Fleet
Transductive Log Opinion Pool of Gaussian Process Experts. CoRR (2015)
Mohammad Norouzi, Maxwell D. Collins, David J. Fleet, Pushmeet Kohli
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits. CoRR (2015)
Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli
Efficient non-greedy optimization of decision trees. CoRR (2015)
Gerard Pons-Moll, David J. Fleet, Bodo Rosenhahn
Posebits for Monocular Human Pose Estimation. CVPR (2014)
Yanshuai Cao, David J. Fleet
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions. CoRR (2014)
Mohammad Norouzi, Ali Punjani, David J. Fleet
Fast Exact Search in Hamming Space With Multi-Index Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 36 (6) (2014)
Mohammad Norouzi, Ali Punjani, David J. Fleet
Fast Exact Search in Hamming Space with Multi-Index Hashing. CoRR (2013)
Mohammad Norouzi, David J. Fleet
Cartesian K-Means. CVPR (2013)
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
Efficient Optimization for Sparse Gaussian Process Regression. CoRR (2013)
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
Efficient Optimization for Sparse Gaussian Process Regression. NIPS (2013)
Dirk Ormoneit, Christiane Lemieux, David J. Fleet
Lattice Particle Filters CoRR (2013)
Mohammad Norouzi, Ali Punjani, David J. Fleet
Fast search in Hamming space with multi-index hashing. CVPR (2012)
Mohammad Norouzi, David J. Fleet, Ruslan Salakhutdinov
Hamming Distance Metric Learning. NIPS (2012)
Micha Livne, Leonid Sigal, Nikolaus F. Troje, David J. Fleet
Human attributes from 3D pose tracking. Comput. Vis. Image Underst. 116 (5) (2012)
Roland Memisevic, Leonid Sigal, David J. Fleet
Shared Kernel Information Embedding for Discriminative Inference. IEEE Trans. Pattern Anal. Mach. Intell. 34 (4) (2012)
Diego Macrini, Sven J. Dickinson, David J. Fleet, Kaleem Siddiqi
Bone graphs: Medial shape parsing and abstraction. Comput. Vis. Image Underst. 115 (7) (2011)
Mohammad Norouzi, David J. Fleet
Minimal Loss Hashing for Compact Binary Codes. ICML (2011)
Diego Macrini, Sven J. Dickinson, David J. Fleet, Kaleem Siddiqi
Object categorization using bone graphs. Comput. Vis. Image Underst. 115 (8) (2011)
Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles
Simultaneous Tracking and Activity Recognition. ICTAI (2011)
Martin de La Gorce, David J. Fleet, Nikos Paragios
Model-Based 3D Hand Pose Estimation from Monocular Video. IEEE Trans. Pattern Anal. Mach. Intell. 33 (9) (2011)
Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann
Physics-Based Person Tracking Using the Anthropomorphic Walker. Int. J. Comput. Vis. 87 (1-2) (2010)
Leonid Sigal, David J. Fleet, Nikolaus F. Troje, Micha Livne
Human Attributes from 3D Pose Tracking. ECCV (3) (2010)
Jack M. Wang, David J. Fleet, Aaron Hertzmann
Optimizing walking controllers for uncertain inputs and environments. ACM Trans. Graph. 29 (4) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

David J. Fleet