Ross Goroshin

According to our database, Ross Goroshin authored at least 29 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scaling 4D Representations.

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 Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman

CoRR, 2024

TRecViT: A Recurrent Video Transformer.

Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu

CoRR, 2024

Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping.

Vishal Batchu, Alex Wilson, Betty Peng, Carl Elkin, Umangi Jain, Christopher Van Arsdale, Ross Goroshin, Varun Gulshan

CoRR, 2024

BootsTAP: Bootstrapped Training for Tracking-Any-Point.

Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, Andrew Zisserman

CoRR, 2024

Course Correcting Koopman Representations.

Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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, João Carreira, Andrew Zisserman

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Estimating Residential Solar Potential Using Aerial Data.

Ross Goroshin, Alex Wilson, Andrew Lamb, Betty Peng, Brandon Ewonus, Cornelius Ratsch, Jordan Raisher, Marisa Leung, Max Burq, Thomas Colthurst, William Rucklidge, Carl Elkin

CoRR, 2023

Block-State Transformer.

Mahan Fathi, Jonathan Pilault, Pierre-Luc Bacon, Christopher Pal, Orhan Firat, Ross Goroshin

CoRR, 2023

Block-State Transformers.

Jonathan Pilault, Mahan Fathi, Orhan Firat, Chris Pal, Pierre-Luc Bacon, Ross Goroshin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks.

Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G. Bellemare

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Learned Image Compression for Machine Perception.

Felipe Codevilla, Jean-Gabriel Simard, Ross Goroshin, Chris Pal

CoRR, 2021

Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark.

Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle

CoRR, 2021

A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches.

Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Impact of Aliasing on Generalization in Deep Convolutional Networks.

Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

An Effective Anti-Aliasing Approach for Residual Networks.

Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin

CoRR, 2020

An Analysis of Object Representations in Deep Visual Trackers.

Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi

CoRR, 2020

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.

Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.

Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle

CoRR, 2019

2018

Vector-based navigation using grid-like representations in artificial agents.

Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran

Nat., 2018

2017

Learning to Navigate in Complex Environments.

Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell

Proceedings of the 5th International Conference on Learning Representations, 2017

2015

Unsupervised Feature Learning in Computer Vision.

Ross Goroshin

PhD thesis, 2015

Stacked What-Where Auto-encoders.

Junbo Jake Zhao, Michaël Mathieu, Ross Goroshin, Yann LeCun

CoRR, 2015

Unsupervised Feature Learning from Temporal Data.

Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning to Linearize Under Uncertainty.

Ross Goroshin, Michaël Mathieu, Yann LeCun

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Unsupervised Learning of Spatiotemporally Coherent Metrics.

Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Efficient object localization using Convolutional Networks.

Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013

Saturating Auto-Encoder

Rostislav Goroshin, Yann LeCun

Proceedings of the 1st International Conference on Learning Representations, 2013

2010

Tracking cables in sonar and optical imagery.

Jason C. Isaacs, Rostislav Goroshin

Proceedings of the 39th IEEE Applied Imagery Pattern Recognition Workshop, 2010

2009

Automatic Cable Detection in Sonar Imagery.

Jason C. Isaacs, Rostislav Goroshin

Proceedings of the IEEE International Conference on Systems, 2009