Carl Doersch - RankMe

64 papers A* 21Journal 37Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Direct Motion Models for Assessing Generated Videos. ICML Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, João Carreira, Sjoerd van Steenkiste
2025	J	`jnl`	Direct Motion Models for Assessing Generated Videos. CoRR Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Murphy, João Carreira, Sjoerd van Steenkiste
2025	J	`jnl`	Generalist Forecasting with Frozen Video Models via Latent Diffusion. CoRR Jacob C. Walker, Pedro Vélez, Luisa Polania Cabrera, Guangyao Zhou, Rishabh Kabra, Carl Doersch, Maks Ovsjanikov, João Carreira, Shiry Ginosar
2025	J	`jnl`	TAPNext: Tracking Any Point (TAP) as Next Token Prediction. CoRR Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Patraucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar, Ross Goroshin
2024	—	`conf`	BootsTAP: Bootstrapped Training for Tracking-Any-Point. ACCV (2) Carl Doersch, Pauline Luc, Yi Yang, Dilara Gokay, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, João Carreira, Andrew Zisserman
2024	J	`jnl`	BootsTAP: Bootstrapped Training for Tracking-Any-Point. CoRR Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ignacio Rocco, Ross Goroshin, João Carreira, Andrew Zisserman
2024	J	`jnl`	Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation. CoRR Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani
2024	A*	`conf`	Learning from One Continuous Video Stream. CVPR João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2024	J	`jnl`	Motion Prompting: Controlling Video Generation with Motion Trajectories. CoRR Daniel Geng, Charles Herrmann, Junhwa Hur, Forrester Cole, Serena Zhang, Tobias Pfaff, Tatiana Lopez-Guevara, Carl Doersch, Yusuf Aytar, Michael Rubinstein, Chen Sun, Oliver Wang, Andrew Owens, Deqing Sun
2024	A*	`conf`	Moving Off-the-Grid: Scene-Grounded Video Representations. NeurIPS Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024	J	`jnl`	Moving Off-the-Grid: Scene-Grounded Video Representations. CoRR Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024	A*	`conf`	RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. ICRA Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
2024	J	`jnl`	Scaling 4D Representations. CoRR João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman
2024	A*	`conf`	TAPVid-3D: A Benchmark for Tracking Any Point in 3D. NeurIPS Skanda Koppula, Ignacio Rocco, Yi Yang, Joseph Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch
2024	J	`jnl`	TAPVid-3D: A Benchmark for Tracking Any Point in 3D. CoRR Skanda Koppula, Ignacio Rocco, Yi Yang, Joseph Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch
2023	J	`jnl`	Learning from One Continuous Video Stream. CoRR João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2023	A*	`conf`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira
2023	J	`jnl`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira
2023	J	`jnl`	RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. CoRR Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
2023	A*	`conf`	TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. ICCV Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
2023	J	`jnl`	TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. CoRR Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
2022	A*	`conf`	Input-level Inductive Biases for 3D Reconstruction. CVPR Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman
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	A*	`conf`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2022	A*	`conf`	TAP-Vid: A Benchmark for Tracking Any Point in a Video. NeurIPS Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
2022	J	`jnl`	TAP-Vid: A Benchmark for Tracking Any Point in a Video. CoRR Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
2021	J	`jnl`	Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. CoRR Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W. Senior, John Jumper, Carl Doersch, S. M. Ali Eslami, Olaf Ronneberger, Jonas Adler
2021	J	`jnl`	Input-level Inductive Biases for 3D Reconstruction. CoRR Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman
2021	J	`jnl`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2020	A*	`conf`	Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning. NeurIPS Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Ávila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko
2020	J	`jnl`	Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning. CoRR Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Ávila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko
2020	A*	`conf`	CrossTransformers: spatially-aware few-shot transfer. NeurIPS Carl Doersch, Ankush Gupta, Andrew Zisserman
2020	J	`jnl`	CrossTransformers: spatially-aware few-shot transfer. CoRR Carl Doersch, Ankush Gupta, Andrew Zisserman
2019	J	`jnl`	Data-Efficient Image Recognition with Contrastive Predictive Coding. CoRR Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord
2019	A*	`conf`	Exploiting Temporal Context for 3D Human Pose Estimation in the Wild. CVPR Anurag Arnab, Carl Doersch, Andrew Zisserman
2019	J	`jnl`	Exploiting temporal context for 3D human pose estimation in the wild. CoRR Anurag Arnab, Carl Doersch, Andrew Zisserman
2019	A*	`conf`	Sim2real transfer learning for 3D human pose estimation: motion to the rescue. NeurIPS Carl Doersch, Andrew Zisserman
2019	J	`jnl`	Sim2real transfer learning for 3D pose estimation: motion to the rescue. CoRR Carl Doersch, Andrew Zisserman
2019	A*	`conf`	Structured agents for physical construction. ICML Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
2019	J	`jnl`	Structured agents for physical construction. CoRR Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
2019	A*	`conf`	Video Action Transformer Network. CVPR Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
2018	J	`jnl`	A Better Baseline for AVA. CoRR Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
2018	J	`jnl`	Kickstarting Deep Reinforcement Learning. CoRR Simon Schmitt, Jonathan J. Hudson, Augustin Zídek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Küttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami
2018	—	`conf`	Learning Visual Question Answering by Bootstrapping Hard Attention. ECCV (6) Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia
2018	J	`jnl`	Learning Visual Question Answering by Bootstrapping Hard Attention. CoRR Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia
2018	J	`jnl`	The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR. CoRR Mateusz Malinowski, Carl Doersch
2018	J	`jnl`	Video Action Transformer Network. CoRR Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
2017	A*	`conf`	Multi-task Self-Supervised Visual Learning. ICCV Carl Doersch, Andrew Zisserman
2017	J	`jnl`	Multi-task Self-Supervised Visual Learning. CoRR Carl Doersch, Andrew Zisserman
2016	—	`conf`	An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders. ECCV (7) Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert
2016	J	`jnl`	An Uncertain Future: Forecasting from Static Images using Variational Autoencoders. CoRR Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert
2016	A*	`conf`	Data-dependent Initializations of Convolutional Neural Networks. ICLR (Poster) Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell
2016	—	`—`	Supervision Beyond Manual Annotations for Learning Visual Representations. Carl Doersch
2016	J	`jnl`	Tutorial on Variational Autoencoders. CoRR Carl Doersch
2015	J	`jnl`	Mid-level Elements for Object Detection. CoRR Aayush Bansal, Abhinav Shrivastava, Carl Doersch, Abhinav Gupta
2015	A*	`conf`	Unsupervised Visual Representation Learning by Context Prediction. ICCV Carl Doersch, Abhinav Gupta, Alexei A. Efros
2015	J	`jnl`	Unsupervised Visual Representation Learning by Context Prediction. CoRR Carl Doersch, Abhinav Gupta, Alexei A. Efros
2015	J	`jnl`	What makes Paris look like Paris? Commun. ACM Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros
2014	—	`conf`	Context as Supervisory Signal: Discovering Objects with Predictable Context. ECCV (3) Carl Doersch, Abhinav Gupta, Alexei A. Efros
2013	—	`conf`	Mid-level Visual Element Discovery as Discriminative Mode Seeking. NIPS Carl Doersch, Abhinav Gupta, Alexei A. Efros
2012	J	`jnl`	Bounding the Probability of Error for High Precision Optical Character Recognition. J. Mach. Learn. Res. Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. Learned-Miller
2012	J	`jnl`	What makes Paris look like Paris? ACM Trans. Graph. Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros
2010	A*	`conf`	Improving state-of-the-art OCR through high-precision document-specific modeling. CVPR Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller