|
I co-lead the VIVID research group, at Google DeepMind. Our goal is to advance video understanding & generation, and amplify human capabilities with AI. Previously I led the YouTube Mix team that built the personalized algorithmic radio feature at the heart of YouTube Music. I obtained my Ph.D. in Machine Learning and Computer Vision from the University of Toronto, Canada. |
|
|
Our work on VideoPoet, a large language model for zero-shot video generation, won Best Paper at ICML 2024. See the great overview by Two Minute Papers, the Google Research blog post, and the VideoPoet website.
Some prior open source releases from my team: the AIST++ Human Motion dataset, TF Object Detection API for TensorFlow 2.x, and TF3D for 3D Scene Understanding.
The results of the 3rd AVA Action Detection challenge are available. This event was held at CVPR 2020, in partnership with the International Challenge on Activity Recognition (ActivityNet) workshop.
Our work on Capturing Special Video Moments with Google Photos was featured on the Google AI Blog. |
|
A complete list of my publications and patents at Google Scholar Citations. |
|
Sihyun Yu, Meera Hahn, Dan Kondratyuk, Jinwoo Shin, Agrim Gupta, José Lezama, Irfan Essa, David Ross, and Jonathan Huang CVPR Workshop on AI for Content Creation, 2025 arXiv |
|
Kaiwen Zha, Lijun Yu, Alireza Fathi, David A. Ross, Cordelia Schmid, Dina Katabi, and Xiuye Gu The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025 arXiv |
|
Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Josh Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, and Lu Jiang Proceedings of International Conference on Machine Learning (ICML), 2024 Google Research blog post, VideoPoet project website, Two Minute Papers video overview, arXiv Talk by Lijun Yu: ICML, SlidesLive, Slides |
|
Long Zhao, Nitesh B. Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, and others Proceedings of International Conference on Machine Learning (ICML), 2024 arXiv |
|
Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, and Alireza Fathi Proceedings of International Conference on Machine Learning (ICML), 2024 arXiv |
|
Jennifer J. Sun, Hao Zhou, Long Zhao, Liangzhe Yuan, Bryan Seybold, David Hendon, Florian Schroff, David A. Ross, Hartwig Adam, Bo Hu, and others bioRxiv, 2024 |
|
Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, and Alireza Fathi Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2023 arXiv |
|
David M Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, and John Canny Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023 arXiv |
|
Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, and David A. Ross Advances in Neural Information Processing Systems, 2023 OpenReview |
|
Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, and Alireza Fathi Advances in Neural Information Processing Systems, 2023 arXiv / Google AI blog |
|
Lijun Yu. José Lezama. Nitesh Bharadwaj Gundavarapu. Luca Versari. Kihyuk Sohn. David Minnen. Yong Cheng. Agrim Gupta. Xiuye Gu. Alex Hauptmann. Boqing Gong. Ming-Hsuan Yang. Irfan Essa. David Ross. Lu Jiang. ICLR, 2024 arXiv |
|
Bo Hu, Bryan Seybold, Shan Yang, Avneesh Sud, Yi Liu, Karla Barron, Paulyn Cha, Marcelo Cosino, Ellie Karlsson, Janessa Kite, Ganesh Kolumam, Joseph Preciado, José Zavala-Solorio, Chunlian Zhang, Xiaomeng Zhang, Martin Voorbach, Ann E. Tovcimak, J. Graham Ruby, and David A. Ross Scientific Reports, 2023 Download the dataset |
|
Shen Yan. Xuehan Xiong. Arsha Nagrani. Anurag Arnab. Zhonghao Wang. Weina Ge. David Ross. Cordelia Schmid. International Conference on Computer Vision (ICCV), 2023 arXiv / open source implementation |
|
Lijun Yu. Yong Cheng. Zhiruo Wang. Vivek Kumar. Wolfgang Macherey. Yanping Huang. David Ross. Irfan Essa. Yonatan Bisk. Ming-Hsuan Yang. Kevin Murphy. Alex Hauptmann. Lu Jiang. NeurIPS, 2023 arXiv |
|
David M Chan, Yiming Ni, Austin Myers, Sudheendra Vijayanarasimhan, David A Ross, and John Canny arXiv preprint, 2022 arXiv |
|
Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan, Austin Myers, Xiuye Gu, Vighnesh Birodkar, and David A. Ross arXiv preprint arXiv:2212.10596, 2022 arXiv |
|
Lu Mi, Abhijit Kundu, David Ross, Frank Dellaert, Noah Snavely, and Alireza Fathi arXiv preprint, 2022 arXiv |
|
David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny The 1st Workshop on Vision Datasets Understanding, at CVPR 2022 arXiv |
|
Bo Hu, Bryan Seybold, Shan Yang, David Ross, Avneesh Sud, Graham Ruby, and Yi Liu CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop, at CVPR 2021 arXiv |
|
Ruilong Li, Shan Yang, David A. Ross, Angjoo Kanazawa ICCV, 2021 arXiv / project website, dataset |
|
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid arXiv, 2020 arXiv |
|
David Chan, Sudheendra Vijayanarasimhan, David Ross, John Canny ACCV, 2020 arXiv / PDF / supplementary |
|
Rui Huang, Wanyue Zhang, Tom Funkhouser, Abhijit Kundu, David Ross, Caroline Pantofaru, Alireza Fathi ECCV, 2020 arXiv |
|
Yue Wang, Abhijit Kundu, Alireza Fathi, Caroline Pantofaru, David Ross, Justin Solomon, Tom Funkhouser ECCV, 2020 arXiv |
|
Abhijit Kundu, Xiaoqi (Michael) Yin, Alireza Fathi, Brew Barrington, David Ross, Tom Funkhouser, Caroline Pantofaru ECCV, 2020 arXiv |
|
Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman arXiv, 2020 arXiv / project website |
|
Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas Funkhouser, Caroline Pantofaru, David Ross, Larry S. Davis, Alireza Fathi CVPR, 2020 arXiv |
|
Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman CVPR, 2020 PDF / arXiv / project page, data |
|
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar WACV, 2020 arXiv / code and pre-trained models |
|
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A Ross, Jia Deng, Rahul Sukthankar CVPR, 2018 arXiv / Google AI blog |
|
Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik CVPR, 2018 arXiv / project website / Google AI blog |
|
Omid Madani, Manfred Georg, David Ross Machine Learning Journal, 2013 |
|
Thomas C. Walters, David Ross, Richard F. Lyon 9th International Symposium on Computer Music Modeling and Retrieval (CMMR 2012) |
|
Omid Madani, Manfred Georg, David Ross 4th Asian Conference on Machine Learning (ACML 2012) |
|
Vijay Chandrasekhar, Matt Sharifi, David Ross 12th International Society for Music Information Retrieval Conference (ISMIR 2011) |
|
Jay Yagnik, Dennis Strelow, David Ross, Ruei-Sung Lin ICCV, 2011 |
|
Vijay Chandrasekhar, Mehmet Emre Sargin, and David Ross ICASSP, 2011 |
|
Ruei-Sung Lin, David Ross, and Jay Yagnik CVPR, 2010 |
|
David Ross, Daniel Tarlow, and Richard Zemel International Journal of Computer Vision, 88 (2), 2010 PDF / project website |
|
David Ross Ph.D. Thesis, University of Toronto, Canada, 2008 PDF / videos |
|
David Ross, Daniel Tarlow, and Richard Zemel 10th European Conference on Computer Vision (ECCV 2008), 2008 PDF / project website |
|
Edward Meeds, David Ross, Richard Zemel, and Sam Roweis IEEE Conference on Computer Vision and Pattern Recognition, 2008 |
|
David Ross, Daniel Tarlow, and Richard Zemel Workshop on Dynamical Vision at ICCV, 2007 PDF / project website |
|
David Ross, Jongwoo Lim, Ruei-Sung Lin, Ming-Hsuan Yang In the International Journal of Computer Vision, Special Issue: Learning for Vision, 2008 PS.GZ / PDF / project website |
|
Andrew Cohen, Richard Shiffrin, Jason Gold, David Ross, and Michael Ross Journal of Vision, 7(8):15, 2007 |
|
David Ross and Richard Zemel Journal of Machine Learning Research, 7(Nov):2369-2397, 2006 PDF / project website |
|
David Ross, Simon Osindero, and Richard Zemel In Proceedings of the Twenty-Third International Conference on Machine Learning, 2006 PS.GZ / PDF / project website |
|
Jongwoo Lim, David Ross, Ruei-Sung Lin, Ming-Hsuan Yang In L. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17, MIT Press, 2005 PS.GZ / PDF / project website |
|
Ruei-Sung Lin, David Ross, Jongwoo Lim, Ming-Hsuan Yang In L. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17, MIT Press, 2005 PS.GZ / PDF / project website |
|
David Ross, Jongwoo Lim, Ming-Hsuan Yang In T. Pajdla and J. Matas, editors, Proc. Eighth European Conference on Computer Vision (ECCV 2004), 2004 PS.GZ / PDF / project website |
|
David Ross and Richard Zemel In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, MIT Press, 2003 PS.GZ / PDF / project website |
|
David Ross University of Toronto, M.Sc. Thesis, 2003 PS.GZ / PDF / project website |
| BibTeX entries for all of the above are available here. |
|
|
|
D3D: Distilled 3D Networks TensorFlow code and pre-trained model checkpoints can be found here.
AVA Atomic Visual Actions evaluation code can be found in the ActivityNet GitHub repo. Find the data here. The source code for most of my older research projects is available for download here. Included are MATLAB implementations of a number of machine learning & computer vision algorithms, but there are also a few other hacks. Parallel Computing: Here is some code I've written/modified, as well as some getting-started tips for parallel computing using MATLAB. The code for the "Combining Discriminative Features" learning/tracking algorithm is available. cdf_2007-07-13.zip |
|
Last Updated: May 2025. |