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2020 – today
- 2024
[j52]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): 645-654 (2024)- [c77]Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet:
Directly Fine-Tuning Diffusion Models on Differentiable Rewards. ICLR 2024 - [i55]Mehdy Dousty, David J. Fleet, José Zariffa:
A Personalized Video-Based Hand Taxonomy: Application for Individuals with Spinal Cord Injury. CoRR abs/2403.18094 (2024) - [i54]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 abs/2405.03162 (2024) - [i53]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 abs/2405.16759 (2024) - [i52]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 abs/2406.06316 (2024) - [i51]Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet:
Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference. CoRR abs/2406.10455 (2024) - [i50]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 abs/2406.20055 (2024) - [i49]Daniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi, David J. Fleet:
Controlling Space and Time with Diffusion Models. CoRR abs/2407.07860 (2024) - [i48]Junhwa Hur, Charles Herrmann, Saurabh Saxena, Janne Kontkanen, Wei-Sheng Lai, Yichang Shih, Michael Rubinstein, David J. Fleet, Deqing Sun:
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion. CoRR abs/2410.11838 (2024) - [i47]Lily Goli, Sara Sabour, Mark J. Matthews, Marcus A. Brubaker, Dmitry Lagun, Alec Jacobson, David J. Fleet, Saurabh Saxena, Andrea Tagliasacchi:
RoMo: Robust Motion Segmentation Improves Structure from Motion. CoRR abs/2411.18650 (2024) - 2023
- [j51]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): 4713-4726 (2023) - [j50]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) - [c76]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: 18359-18369 - [c75]Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi:
RobustNeRF: Ignoring Distractors with Robust Losses. CVPR 2023: 20626-20636 - [c74]Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet:
A Generalist Framework for Panoptic Segmentation of Images and Videos. ICCV 2023: 909-919 - [c73]Allan Jabri, David J. Fleet, Ting Chen:
Scalable Adaptive Computation for Iterative Generation. ICML 2023: 14569-14589 - [c72]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 - [i46]Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi:
RobustNeRF: Ignoring Distractors with Robust Losses. CoRR abs/2302.00833 (2023) - [i45]Hshmat Sahak, Daniel Watson, Chitwan Saharia, David J. Fleet:
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild. CoRR abs/2302.07864 (2023) - [i44]Saurabh Saxena, Abhishek Kar, Mohammad Norouzi, David J. Fleet:
Monocular Depth Estimation using Diffusion Models. CoRR abs/2302.14816 (2023) - [i43]Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet:
Synthetic Data from Diffusion Models Improves ImageNet Classification. CoRR abs/2304.08466 (2023) - [i42]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 abs/2306.01923 (2023) - [i41]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 abs/2307.14334 (2023) - [i40]Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet:
Directly Fine-Tuning Diffusion Models on Differentiable Rewards. CoRR abs/2309.17400 (2023) - [i39]Saurabh Saxena, Junhwa Hur, Charles Herrmann, Deqing Sun, David J. Fleet:
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model. CoRR abs/2312.13252 (2023) - 2022
- [j49]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: 47:1-47:33 (2022) - [c71]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: 3739-3751 - [c70]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: 165-182 - [c69]Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton:
Pix2seq: A Language Modeling Framework for Object Detection. ICLR 2022 - [c68]Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton:
A Unified Sequence Interface for Vision Tasks. NeurIPS 2022 - [c67]Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet:
Video Diffusion Models. NeurIPS 2022 - [c66]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 - [c65]Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker:
Residual Multiplicative Filter Networks for Multiscale Reconstruction. NeurIPS 2022 - [c64]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: 15:1-15:10 - [i38]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 abs/2203.03570 (2022) - [i37]Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman:
What Makes RAFT Better Than PWC-Net? CoRR abs/2203.10712 (2022) - [i36]Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet:
Video Diffusion Models. CoRR abs/2204.03458 (2022) - [i35]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 abs/2205.09723 (2022) - [i34]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:
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR abs/2205.11487 (2022) - [i33]Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker:
Residual Multiplicative Filter Networks for Multiscale Reconstruction. CoRR abs/2206.00746 (2022) - [i32]Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton:
A Unified Sequence Interface for Vision Tasks. CoRR abs/2206.07669 (2022) - [i31]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 abs/2210.02303 (2022) - [i30]Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet:
A Generalist Framework for Panoptic Segmentation of Images and Videos. CoRR abs/2210.06366 (2022) - [i29]Renjie Liao, Simon Kornblith, Mengye Ren, David J. Fleet, Geoffrey E. Hinton:
Gaussian-Bernoulli RBMs Without Tears. CoRR abs/2210.10318 (2022) - [i28]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 abs/2212.06909 (2022) - [i27]Allan Jabri, David J. Fleet, Ting Chen:
Scalable Adaptive Computation for Iterative Generation. CoRR abs/2212.11972 (2022) - 2021
- [c63]Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet:
Unsupervised Part Representation by Flow Capsules. ICML 2021: 9213-9223 - [i26]Fartash Faghri, Cristina Nader Vasconcelos, David J. Fleet, Fabian Pedregosa, Nicolas Le Roux:
Bridging the Gap Between Adversarial Robustness and Optimization Bias. CoRR abs/2102.08868 (2021) - [i25]Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi:
Image Super-Resolution via Iterative Refinement. CoRR abs/2104.07636 (2021) - [i24]Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans:
Cascaded Diffusion Models for High Fidelity Image Generation. CoRR abs/2106.15282 (2021) - [i23]Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton:
Pix2seq: A Language Modeling Framework for Object Detection. CoRR abs/2109.10852 (2021) - [i22]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 abs/2111.05826 (2021) - 2020
- [c62]Sajad Norouzi, David J. Fleet, Mohammad Norouzi:
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation. NeurIPS 2020 - [i21]Micha Livne, Kevin Swersky, David J. Fleet:
SentenceMIM: A Latent Variable Language Model. CoRR abs/2003.02645 (2020) - [i20]Sajad Norouzi, David J. Fleet, Mohammad Norouzi:
Exemplar VAEs for Exemplar based Generation and Data Augmentation. CoRR abs/2004.04795 (2020) - [i19]Fartash Faghri, David Duvenaud, David J. Fleet, Jimmy Ba:
A Study of Gradient Variance in Deep Learning. CoRR abs/2007.04532 (2020) - [i18]Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet:
Unsupervised part representation by Flow Capsules. CoRR abs/2011.13920 (2020)
2010 – 2019
- 2019
- [c61]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: 399-411 - [i17]Micha Livne, David J. Fleet:
TzK: Flow-Based Conditional Generative Model. CoRR abs/1902.01893 (2019) - [i16]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 abs/1906.07582 (2019) - [i15]Micha Livne, Kevin Swersky, David J. Fleet:
MIM: Mutual Information Machine. CoRR abs/1910.03175 (2019) - [i14]Micha Livne, Kevin Swersky, David J. Fleet:
High Mutual Information in Representation Learning with Symmetric Variational Inference. CoRR abs/1910.04153 (2019) - 2018
- [c60]Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler:
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives. BMVC 2018: 12 - [c59]Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet:
Walking on Thin Air: Environment-Free Physics-Based Markerless Motion Capture. CRV 2018: 158-165 - [c58]Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet:
Hierarchical Video Understanding. ECCV Workshops (4) 2018: 659-663 - [i13]Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, David J. Fleet, Roland Memisevic:
Fine-grained Video Classification and Captioning. CoRR abs/1804.09235 (2018) - [i12]Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet:
Hierarchical Video Understanding. CoRR abs/1809.03316 (2018) - [i11]Micha Livne, David J. Fleet:
TzK Flow - Conditional Generative Model. CoRR abs/1811.01837 (2018) - [i10]Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet:
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture. CoRR abs/1812.01203 (2018) - 2017
- [j48]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): 706-718 (2017) - [i9]Fartash Faghri, David J. Fleet, Jamie Ryan Kiros, Sanja Fidler:
VSE++: Improved Visual-Semantic Embeddings. CoRR abs/1707.05612 (2017) - 2016
- [j47]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): 113-114 (2016) - [c57]Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet:
Adversarial Manipulation of Deep Representations. ICLR (Poster) 2016 - 2015
- [j46]Björn Stenger, Norimichi Ukita, Yoichi Sato, Pascal Fua, David J. Fleet:
Editorial. Comput. Vis. Image Underst. 141: 94 (2015) - [j45]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): 2415-2427 (2015) - [c56]Marcus A. Brubaker, Ali Punjani, David J. Fleet:
Building proteins in a day: Efficient 3D molecular reconstruction. CVPR 2015: 3099-3108 - [c55]Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli:
Efficient Non-greedy Optimization of Decision Trees. NIPS 2015: 1729-1737 - [i8]Marcus A. Brubaker, Ali Punjani, David J. Fleet:
Building Proteins in a Day: Efficient 3D Molecular Reconstruction. CoRR abs/1504.03573 (2015) - [i7]Mohammad Norouzi, Maxwell D. Collins, David J. Fleet, Pushmeet Kohli:
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits. CoRR abs/1506.06155 (2015) - [i6]Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli:
Efficient non-greedy optimization of decision trees. CoRR abs/1511.04056 (2015) - [i5]Yanshuai Cao, David J. Fleet:
Transductive Log Opinion Pool of Gaussian Process Experts. CoRR abs/1511.07551 (2015) - 2014
- [j44]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): 1107-1119 (2014) - [c54]Gerard Pons-Moll, David J. Fleet, Bodo Rosenhahn:
Posebits for Monocular Human Pose Estimation. CVPR 2014: 2345-2352 - [e7]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8689, Springer 2014, ISBN 978-3-319-10589-5 [contents] - [e6]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8690, Springer 2014, ISBN 978-3-319-10604-5 [contents] - [e5]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part III. Lecture Notes in Computer Science 8691, Springer 2014, ISBN 978-3-319-10577-2 [contents] - [e4]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV. Lecture Notes in Computer Science 8692, Springer 2014, ISBN 978-3-319-10592-5 [contents] - [e3]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V. Lecture Notes in Computer Science 8693, Springer 2014, ISBN 978-3-319-10601-4 [contents] - [e2]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI. Lecture Notes in Computer Science 8694, Springer 2014, ISBN 978-3-319-10598-7 [contents] - [e1]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VII. Lecture Notes in Computer Science 8695, Springer 2014, ISBN 978-3-319-10583-3 [contents] - [i4]Yanshuai Cao, David J. Fleet:
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions. CoRR abs/1410.7827 (2014) - 2013
- [c53]Mohammad Norouzi, David J. Fleet:
Cartesian K-Means. CVPR 2013: 3017-3024 - [c52]Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Efficient Optimization for Sparse Gaussian Process Regression. NIPS 2013: 1097-1105 - [i3]Dirk Ormoneit, Christiane Lemieux, David J. Fleet:
Lattice Particle Filters. CoRR abs/1301.2298 (2013) - [i2]Mohammad Norouzi, Ali Punjani, David J. Fleet:
Fast Exact Search in Hamming Space with Multi-Index Hashing. CoRR abs/1307.2982 (2013) - [i1]Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Efficient Optimization for Sparse Gaussian Process Regression. CoRR abs/1310.6007 (2013) - 2012
- [j43]Micha Livne, Leonid Sigal, Nikolaus F. Troje, David J. Fleet:
Human attributes from 3D pose tracking. Comput. Vis. Image Underst. 116(5): 648-660 (2012) - [j42]Roland Memisevic, Leonid Sigal, David J. Fleet:
Shared Kernel Information Embedding for Discriminative Inference. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 778-790 (2012) - [c51]Mohammad Norouzi, Ali Punjani, David J. Fleet:
Fast search in Hamming space with multi-index hashing. CVPR 2012: 3108-3115 - [c50]Mohammad Norouzi, David J. Fleet, Ruslan Salakhutdinov:
Hamming Distance Metric Learning. NIPS 2012: 1070-1078 - 2011
- [j41]Diego Macrini, Sven J. Dickinson, David J. Fleet, Kaleem Siddiqi:
Bone graphs: Medial shape parsing and abstraction. Comput. Vis. Image Underst. 115(7): 1044-1061 (2011) - [j40]Diego Macrini, Sven J. Dickinson, David J. Fleet, Kaleem Siddiqi:
Object categorization using bone graphs. Comput. Vis. Image Underst. 115(8): 1187-1206 (2011) - [j39]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): 1793-1805 (2011) - [c49]Mohammad Norouzi, David J. Fleet:
Minimal Loss Hashing for Compact Binary Codes. ICML 2011: 353-360 - [c48]Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles:
Simultaneous Tracking and Activity Recognition. ICTAI 2011: 189-196 - [p3]David J. Fleet:
Motion Models for People Tracking. Visual Analysis of Humans 2011: 171-198 - 2010
- [j38]Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Physics-Based Person Tracking Using the Anthropomorphic Walker. Int. J. Comput. Vis. 87(1-2): 140-155 (2010) - [j37]Jack M. Wang, David J. Fleet, Aaron Hertzmann:
Optimizing walking controllers for uncertain inputs and environments. ACM Trans. Graph. 29(4): 73:1-73:8 (2010) - [c47]Graham W. Taylor, Leonid Sigal, David J. Fleet, Geoffrey E. Hinton:
Dynamical binary latent variable models for 3D human pose tracking. CVPR 2010: 631-638 - [c46]Leonid Sigal, David J. Fleet, Nikolaus F. Troje, Micha Livne:
Human Attributes from 3D Pose Tracking. ECCV (3) 2010: 243-257 - [p2]Marcus A. Brubaker, Leonid Sigal, David J. Fleet:
Video-Based People Tracking. Handbook of Ambient Intelligence and Smart Environments 2010: 57-87
2000 – 2009
- 2009
- [j36]Alex Levinshtein, Adrian Stere, Kiriakos N. Kutulakos, David J. Fleet, Sven J. Dickinson, Kaleem Siddiqi:
TurboPixels: Fast Superpixels Using Geometric Flows. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2290-2297 (2009) - [j35]Jack M. Wang, David J. Fleet, Aaron Hertzmann:
Optimizing walking controllers. ACM Trans. Graph. 28(5): 168 (2009) - [c45]John Darby, Baihua Li, Nicholas Costen, David J. Fleet, Neil D. Lawrence:
Backing Off: Hierarchical Decomposition of Activity for 3D Novel Pose Recovery. BMVC 2009: 1-11 - [c44]Francisco J. Estrada, David J. Fleet, Allan D. Jepson:
Stochastic Image Denoising. BMVC 2009: 1-11 - [c43]Leonid Sigal, Roland Memisevic, David J. Fleet:
Shared Kernel Information Embedding for discriminative inference. CVPR 2009: 2852-2859 - [c42]Marcus A. Brubaker, Leonid Sigal, David J. Fleet:
Estimating contact dynamics. ICCV 2009: 2389-2396 - [c41]Cristina E. Manfredotti, David J. Fleet, Enza Messina:
Relations to improve multi-target tracking in an activity recognition system. ICDP 2009: 1-6 - 2008
- [j34]David J. Kriegman, David J. Fleet, Zoubin Ghahramani:
Editorial-State of the Transactions. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 193-194 (2008) - [j33]David J. Kriegman, David J. Fleet:
Introduction of New Editors. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 195-196 (2008) - [j32]Jack M. Wang, David J. Fleet, Aaron Hertzmann:
Gaussian Process Dynamical Models for Human Motion. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 283-298 (2008) - [j31]David J. Kriegman, David J. Fleet, Zoubin Ghahramani:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 561 (2008) - [j30]Jack M. Wang, David J. Fleet, Aaron Hertzmann:
Correction to "Gaussian Process Dynamical Models for Human Motion". IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1118 (2008) - [j29]David J. Kriegman, David J. Fleet, Zoubin Ghahramani:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 30(9): 1505-1506 (2008) - [j28]David J. Kriegman, David J. Fleet, Zoubin Ghahramani:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2065-2066 (2008) - [c40]Marcus A. Brubaker, David J. Fleet:
The Kneed Walker for human pose tracking. CVPR 2008 - [c39]Martin de La Gorce, Nikos Paragios, David J. Fleet:
Model-based hand tracking with texture, shading and self-occlusions. CVPR 2008 - [c38]Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence:
Topologically-constrained latent variable models. ICML 2008: 1080-1087 - 2007
- [j27]W. James MacLean, Nikos Paragios, David J. Fleet:
Special issue on spatial coherence for visual motion analysis. Comput. Vis. Image Underst. 108(3): 205-206 (2007) - [j26]David J. Kriegman, David J. Fleet:
Editorial-State of the Transactions. IEEE Trans. Pattern Anal. Mach. Intell. 29(2): 193-194 (2007) - [j25]David J. Kriegman, David J. Fleet:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 369-370 (2007) - [j24]David J. Kriegman, David J. Fleet:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1681-1682 (2007) - [c37]Midori Hyndman, Allan D. Jepson, David J. Fleet:
Higher-order Autoregressive Models for Dynamic Textures. BMVC 2007: 1-10 - [c36]Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann:
Physics-Based Person Tracking Using Simplified Lower-Body Dynamics. CVPR 2007 - [c35]Raquel Urtasun, David J. Fleet, Neil D. Lawrence:
Modeling Human Locomotion with Topologically Constrained Latent Variable Models. Workshop on Human Motion 2007: 104-118 - [c34]Jack M. Wang, David J. Fleet, Aaron Hertzmann:
Multifactor Gaussian process models for style-content separation. ICML 2007: 975-982 - 2006
- [j23]Raquel Urtasun, David J. Fleet, Pascal Fua:
Temporal motion models for monocular and multiview 3D human body tracking. Comput. Vis. Image Underst. 104(2-3): 157-177 (2006) - [j22]David J. Kriegman, David J. Fleet:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 1-2 (2006) - [j21]David J. Kriegman, David J. Fleet:
Editorial-State of the Transactions. IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 177 (2006) - [j20]David J. Kriegman, David J. Fleet:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 849 (2006) - [j19]David J. Kriegman, David J. Fleet:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1185 (2006) - [c33]Raquel Urtasun, David J. Fleet, Pascal Fua:
3D People Tracking with Gaussian Process Dynamical Models. CVPR (1) 2006: 238-245 - [p1]David J. Fleet, Y. Weiss:
Optical Flow Estimation. Handbook of Mathematical Models in Computer Vision 2006: 237-257 - 2005
- [j18]David J. Kriegman, David J. Fleet:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 27(4): 481 (2005) - [j17]David J. Kriegman, David J. Fleet:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 833-834 (2005) - [j16]David J. Kriegman, David J. Fleet:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1349-1350 (2005) - [j15]David J. Kriegman, David J. Fleet:
Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 27(11): 1685 (2005) - [c32]Raquel Urtasun, David J. Fleet, Pascal Fua:
Monocular 3-D Tracking of the Golf Swing. CVPR (2) 2005: 932-938 - [c31]Raquel Urtasun, David J. Fleet, Pascal Fua:
Monocular 3D Tracking of the Golf Swing. CVPR (2) 2005: 1199 - [c30]Raquel Urtasun, David J. Fleet, Aaron Hertzmann, Pascal Fua:
Priors for People Tracking from Small Training Sets. ICCV 2005: 403-410 - [c29]Dimitri Marinakis, Gregory Dudek, David J. Fleet:
Learning Sensor Network Topology through Monte Carlo Expectation Maximization. ICRA 2005: 4581-4587 - [c28]Jack M. Wang, David J. Fleet, Aaron Hertzmann:
Gaussian Process Dynamical Models. NIPS 2005: 1441-1448 - 2004
- [j14]Eric Saund, David J. Fleet, Daniel Larner, James Mahoney:
Perceptually-supported image editing of text and graphics. ACM Trans. Graph. 23(3): 728 (2004) - 2003
- [j13]Allan D. Jepson, David J. Fleet, Thomas F. El-Maraghi:
Robust Online Appearance Models for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25(10): 1296-1311 (2003) - [c27]Oscar Nestares, David J. Fleet:
Error-in-variables likelihood functions for motion estimation. ICIP (3) 2003: 77-80 - [c26]Eric Saund, David J. Fleet, Daniel Larner, James Mahoney:
Perceptually-supported image editing of text and graphics. UIST 2003: 183-192 - 2002
- [c25]Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulakos:
A Probabilistic Theory of Occupancy and Emptiness. ECCV (3) 2002: 112-132 - [c24]Allan D. Jepson, David J. Fleet, Michael J. Black:
A Layered Motion Representation with Occlusion and Compact Spatial Support. ECCV (1) 2002: 692-706 - 2001
- [j12]Horst W. Haussecker, David J. Fleet:
Computing Optical Flow with Physical Models of Brightness Variation. IEEE Trans. Pattern Anal. Mach. Intell. 23(6): 661-673 (2001) - [c23]Oscar Nestares, David J. Fleet:
Probabilistic Tracking of Motion Boundaries with Spatiotemporal Predictions. CVPR (2) 2001: 358-365 - [c22]Allan D. Jepson, David J. Fleet, Thomas F. El-Maraghi:
Robust Online Appearance Models for Visual Tracking. CVPR (1) 2001: 415-422 - [c21]Eric Saund, James Mahoney, David J. Fleet, Daniel Larner:
Perceptual Organization as a Foundation for Graphics Recognition. GREC 2001: 139-147 - [c20]Kiam Choo, David J. Fleet:
People Tracking Using Hybrid Monte Carlo Filtering. ICCV 2001: 321-328 - [c19]Dirk Ormoneit, Christiane Lemieux, David J. Fleet:
Lattice Particle Filters. UAI 2001: 395-402 - 2000
- [j11]Jörg Lippert, David J. Fleet, Hermann Wagner:
Disparity tuning as simulated by a neural net. Biol. Cybern. 83(1): 61-72 (2000) - [j10]Michael J. Black, David J. Fleet, Yaser Yacoob:
Robustly Estimating Changes in Image Appearance. Comput. Vis. Image Underst. 78(1): 8-31 (2000) - [j9]David J. Fleet, Michael J. Black, Yaser Yacoob, Allan D. Jepson:
Design and Use of Linear Models for Image Motion Analysis. Int. J. Comput. Vis. 36(3): 171-193 (2000) - [j8]Michael J. Black, David J. Fleet:
Probabilistic Detection and Tracking of Motion Boundaries. Int. J. Comput. Vis. 38(3): 231-245 (2000) - [c18]Oscar Nestares, David J. Fleet, David J. Heeger:
Likelihood Functions and Confidence Bounds for Total-Least-Squares Problems. CVPR 2000: 1523-1530 - [c17]Horst W. Haussecker, David J. Fleet:
Computing Optical Flow with Physical Models of Brightness Variation. CVPR 2000: 2760-2767 - [c16]Hedvig Sidenbladh, Michael J. Black, David J. Fleet:
Stochastic Tracking of 3D Human Figures Using 2D Image Motion. ECCV (2) 2000: 702-718
1990 – 1999
- 1999
- [c15]Michael J. Black, David J. Fleet:
Probabilistic Detection and Tracking of Motion Discontinuities. ICCV 1999: 551-558 - [c14]Burton Ma, Randy E. Ellis, David J. Fleet:
Spotlights: A Robust Method for Surface-Based Registration in Orthopedic Surgery. MICCAI 1999: 936-944 - 1998
- [c13]David J. Fleet, Michael J. Black, Allan D. Jepson:
Motion Feature Detection Using Steerable Flow Fields. CVPR 1998: 274-281 - [c12]Michael J. Black, David J. Fleet, Yaser Yacoob:
A Framework for Modeling Appearance Change in Image Sequences. ICCV 1998: 660-667 - 1997
- [c11]Michael J. Black, Yaser Yacoob, Allan D. Jepson, David J. Fleet:
Learning Parameterized Models of Image Motion. CVPR 1997: 561-567 - [c10]Randy E. Ellis, David J. Fleet, J. Tim Bryant, John F. Rudan, P. Fenton:
A method for evalutating CT-based surgical registration. CVRMed 1997: 141-150 - [c9]Robert Frans van der Willigen, Jörg Lippert, David J. Fleet, Hermann Wagner:
Binocular Information Processing in the Owl. GI Jahrestagung 1997: 514-515 - [c8]David J. Fleet, David J. Heeger:
Embedding Invisible Information in Color Images. ICIP (1) 1997: 532-535 - 1995
- [j7]David J. Fleet, Keith Langley:
Recursive Filters for Optical Flow. IEEE Trans. Pattern Anal. Mach. Intell. 17(1): 61-67 (1995) - 1994
- [j6]John L. Barron, David J. Fleet, Steven S. Beauchemin:
Performance of optical flow techniques. Int. J. Comput. Vis. 12(1): 43-77 (1994) - [c7]Leif Haglund, David J. Fleet:
Stable Estimation of Image Orientation. ICIP (3) 1994: 68-72 - 1993
- [j5]David J. Fleet, Allan D. Jepson:
Stability of Phase Information. IEEE Trans. Pattern Anal. Mach. Intell. 15(12): 1253-1268 (1993) - 1992
- [c6]Keith Langley, David J. Fleet, Tim J. Atherton:
On Transparent Motion Computation. BMVC 1992: 1-10 - [c5]John L. Barron, David J. Fleet, Steven S. Beauchemin, T. A. Burkitt:
Performance of optical flow techniques. CVPR 1992: 236-242 - [c4]Keith Langley, David J. Fleet, Tim J. Atherton:
Multiple motions from instantaneous frequency. CVPR 1992: 846-849 - 1991
- [b1]David J. Fleet:
Measurement of image velocity. University of Toronto, Canada, 1991 - [j4]David J. Fleet, Allan D. Jepson, Michael R. M. Jenkin:
Phase-based disparity measurement. CVGIP Image Underst. 53(2): 198-210 (1991) - [j3]Allan D. Jepson, David J. Fleet:
Phase singularities in scale-space. Image Vis. Comput. 9(5): 338-343 (1991) - 1990
- [j2]David J. Fleet, Allan D. Jepson:
Computation of component image velocity from local phase information. Int. J. Comput. Vis. 5(1): 77-104 (1990) - [c3]Allan D. Jepson, David J. Fleet:
Scale-Space Singularities. ECCV 1990: 50-55
1980 – 1989
- 1989
- [j1]David J. Fleet, Allan D. Jepson:
Hierarchical Construction of Orientation and Velocity Selective Filters. IEEE Trans. Pattern Anal. Mach. Intell. 11(3): 315-325 (1989) - [c2]David J. Fleet, Allan D. Jepson:
Computation of normal velocity from local phase information. CVPR 1989: 379-386 - 1988
- [c1]Michael Mohnhaupt, David J. Fleet:
Raum-zeitliche Filter für eine top-down Steuerung der Bewegungsanalyse. GWAI 1988: 296-305
Coauthor Index
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