Carl Doersch
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Tapnext: Tracking Any Point (Tap) as Next Token Prediction. | Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Patraucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar, Ross Goroshin |
| 2025 | ICML | Direct Motion Models for Assessing Generated Videos. | Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, Joo Carreira, Sjoerd van Steenkiste |
| 2024 | ACCV | BootsTAP: Bootstrapped Training for Tracking-Any-Point. | Carl Doersch, Pauline Luc, Yi Yang, Dilara Gokay, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, Joo Carreira, Andrew Zisserman |
| 2024 | CVPR | Learning from One Continuous Video Stream. | Joo Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman |
| 2024 | ICRA | RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. | Mel Vecerk, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz |
| 2023 | ICCV | TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. | Carl Doersch, Yi Yang, Mel Vecerk, Dilara Gokay, Ankush Gupta, Yusuf Aytar, Joo Carreira, Andrew Zisserman |
| 2022 | CVPR | Kubric: A scalable dataset generator. | 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 ztireli, 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 | CVPR | Input-level Inductive Biases for 3D Reconstruction. | Wang Yifan, Carl Doersch, Relja Arandjelovic, Joo Carreira, Andrew Zisserman |
| 2022 | ICLR | Perceiver IO: A General Architecture for Structured Inputs & Outputs. | Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hnaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, Joo Carreira |
| 2019 | CVPR | Exploiting Temporal Context for 3D Human Pose Estimation in the Wild. | Anurag Arnab, Carl Doersch, Andrew Zisserman |
| 2019 | CVPR | Video Action Transformer Network. | Rohit Girdhar, Joo Carreira, Carl Doersch, Andrew Zisserman |
| 2019 | ICML | Structured agents for physical construction. | Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick |
| 2018 | ECCV | Learning Visual Question Answering by Bootstrapping Hard Attention. | Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia |
| 2017 | ICCV | Multi-task Self-Supervised Visual Learning. | Carl Doersch, Andrew Zisserman |
| 2016 | ECCV | An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders. | Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert |
| 2015 | ICCV | Unsupervised Visual Representation Learning by Context Prediction. | Carl Doersch, Abhinav Gupta, Alexei A. Efros |
| 2014 | ECCV | Context as Supervisory Signal: Discovering Objects with Predictable Context. | Carl Doersch, Abhinav Gupta, Alexei A. Efros |
| 2010 | CVPR | Improving state-of-the-art OCR through high-precision document-specific modeling. | Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller |