Ankush Gupta

According to our database, Ankush Gupta authored at least 19 papers between 2016 and 2024.

Collaborative distances:

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

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

2023

Perception Test: A Diagnostic Benchmark for Multimodal Video Models.

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

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

Helping Hands: An Object-Aware Ego-Centric Video Recognition Model.

Chuhan Zhang, Ankush Gupta, Andrew Zisserman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models.

Vishaal Udandarao, Ankush Gupta, Samuel Albanie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement.

Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

TAP-Vid: A Benchmark for Tracking Any Point in a Video.

Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Is an Object-Centric Video Representation Beneficial for Transfer?

Chuhan Zhang, Ankush Gupta, Andrew Zisserman

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Temporal Query Networks for Fine-Grained Video Understanding.

Chuhan Zhang, Ankush Gupta, Andrew Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

CrossTransformers: spatially-aware few-shot transfer.

Carl Doersch, Ankush Gupta, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adaptive Text Recognition Through Visual Matching.

Chuhan Zhang, Ankush Gupta, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2020, 2020

Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos.

Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning Landmarks from Unaligned Data using Image Translation.

Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi

CoRR, 2019

Unsupervised Learning of Object Keypoints for Perception and Control.

Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep learning with synthetic, temporal, and adversarial supervision.

Ankush Gupta

PhD thesis, 2018

Conditional Image Generation for Learning the Structure of Visual Objects.

Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi

CoRR, 2018

Unsupervised Learning of Object Landmarks through Conditional Image Generation.

Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Read by Spelling: Towards Unsupervised Text Recognition.

Ankush Gupta, Andrea Vedaldi, Andrew Zisserman

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Inductive Visual Localisation: Factorised Training for Superior Generalisation.

Ankush Gupta, Andrea Vedaldi, Andrew Zisserman

Proceedings of the British Machine Vision Conference 2018, 2018

2016

Synthetic Data for Text Localisation in Natural Images.

Ankush Gupta, Andrea Vedaldi, Andrew Zisserman

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016