Carl Doersch

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 42

Top Topics

Transfer Learning

Pose Estimation

Temporal Continuity

Convolutional Neural Networks

Top Venues

Publications

Skanda Koppula, Ignacio Rocco, Yi Yang, Joseph Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch
TAPVid-3D: A Benchmark for Tracking Any Point in 3D. CoRR (2024)
Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. ICRA (2024)
Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, Andrew Zisserman
BootsTAP: Bootstrapped Training for Tracking-Any-Point. CoRR (2024)
Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. ICCV (2023)
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, Alex Frechette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR (2023)
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
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS (2023)
Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. CoRR (2023)
Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. CoRR (2023)
João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
Learning from One Continuous Video Stream. CoRR (2023)
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR (2022)
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
TAP-Vid: A Benchmark for Tracking Any Point in a Video. 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, 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)
Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman
Input-level Inductive Biases for 3D Reconstruction. CVPR (2022)
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
TAP-Vid: A Benchmark for Tracking Any Point in a Video. 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, 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)
Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman
Input-level Inductive Biases for 3D Reconstruction. CoRR (2021)
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
Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR (2021)
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
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. CoRR (2021)
Carl Doersch, Ankush Gupta, Andrew Zisserman
CrossTransformers: spatially-aware few-shot transfer. CoRR (2020)
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
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning. CoRR (2020)
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
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning. NeurIPS (2020)
Carl Doersch, Ankush Gupta, Andrew Zisserman
CrossTransformers: spatially-aware few-shot transfer. NeurIPS (2020)
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
Structured agents for physical construction. CoRR (2019)
Anurag Arnab, Carl Doersch, Andrew Zisserman
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild. CVPR (2019)
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
Structured agents for physical construction. ICML (2019)
Carl Doersch, Andrew Zisserman
Sim2real transfer learning for 3D pose estimation: motion to the rescue. CoRR (2019)
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord
Data-Efficient Image Recognition with Contrastive Predictive Coding. CoRR (2019)
Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
Video Action Transformer Network. CVPR (2019)
Anurag Arnab, Carl Doersch, Andrew Zisserman
Exploiting temporal context for 3D human pose estimation in the wild. CoRR (2019)
Carl Doersch, Andrew Zisserman
Sim2real transfer learning for 3D human pose estimation: motion to the rescue. NeurIPS (2019)
Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia
Learning Visual Question Answering by Bootstrapping Hard Attention. CoRR (2018)
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
Kickstarting Deep Reinforcement Learning. CoRR (2018)
Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
A Better Baseline for AVA. CoRR (2018)
Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman
Video Action Transformer Network. CoRR (2018)
Mateusz Malinowski, Carl Doersch
The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR. CoRR (2018)
Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter W. Battaglia
Learning Visual Question Answering by Bootstrapping Hard Attention. ECCV (6) (2018)
Carl Doersch, Andrew Zisserman
Multi-task Self-Supervised Visual Learning. CoRR (2017)
Carl Doersch, Andrew Zisserman
Multi-task Self-Supervised Visual Learning. ICCV (2017)
Carl Doersch
Tutorial on Variational Autoencoders. CoRR (2016)
Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert
An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders. ECCV (7) (2016)
Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders. CoRR (2016)
Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell
Data-dependent Initializations of Convolutional Neural Networks. ICLR (Poster) (2016)
Carl Doersch, Abhinav Gupta, Alexei A. Efros
Unsupervised Visual Representation Learning by Context Prediction. CoRR (2015)
Carl Doersch, Abhinav Gupta, Alexei A. Efros
Unsupervised Visual Representation Learning by Context Prediction. ICCV (2015)
Aayush Bansal, Abhinav Shrivastava, Carl Doersch, Abhinav Gupta
Mid-level Elements for Object Detection. CoRR (2015)
Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros
What makes Paris look like Paris? Commun. ACM 58 (12) (2015)
Carl Doersch, Abhinav Gupta, Alexei A. Efros
Context as Supervisory Signal: Discovering Objects with Predictable Context. ECCV (3) (2014)
Carl Doersch, Abhinav Gupta, Alexei A. Efros
Mid-level Visual Element Discovery as Discriminative Mode Seeking. NIPS (2013)
Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros
What makes Paris look like Paris? ACM Trans. Graph. 31 (4) (2012)
Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. Learned-Miller
Bounding the Probability of Error for High Precision Optical Character Recognition. J. Mach. Learn. Res. 13 (2012)
Andrew Kae, Gary B. Huang, Carl Doersch, Erik G. Learned-Miller
Improving state-of-the-art OCR through high-precision document-specific modeling. CVPR (2010)