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ORCIDAnkush Gupta 0001
Person information
- affiliation: DeepMind, London, UK
- affiliation (PhD 2018): University of Oxford, Visual Geometry Group, UK
Other persons with the same name
- Ankush Gupta — disambiguation page
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2020 – today
- 2024
[i16]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 abs/2402.00847 (2024)- 2023
- [c15]Vishaal Udandarao, Ankush Gupta, Samuel Albanie:
SuS-X: Training-Free Name-Only Transfer of Vision-Language Models. ICCV 2023: 2725-2736 - [c14]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: 10027-10038 - [c13]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Helping Hands: An Object-Aware Ego-Centric Video Recognition Model. ICCV 2023: 13855-13866 - [c12]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 - [i15]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:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR abs/2305.13786 (2023) - [i14]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 abs/2306.08637 (2023) - [i13]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Helping Hands: An Object-Aware Ego-Centric Video Recognition Model. CoRR abs/2308.07918 (2023) - 2022
- [c11]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Is an Object-Centric Video Representation Beneficial for Transfer? ACCV (4) 2022: 379-397 - [c10]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 - [i12]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Is an Object-Centric Video Representation Beneficial for Transfer? CoRR abs/2207.10075 (2022) - [i11]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 abs/2211.03726 (2022) - [i10]Vishaal Udandarao, Ankush Gupta, Samuel Albanie:
SuS-X: Training-Free Name-Only Transfer of Vision-Language Models. CoRR abs/2211.16198 (2022) - 2021
- [c9]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Temporal Query Networks for Fine-Grained Video Understanding. CVPR 2021: 4486-4496 - [i9]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Temporal Query Networks for Fine-grained Video Understanding. CoRR abs/2104.09496 (2021) - 2020
- [c8]Tomas Jakab, Ankush Gupta, Hakan Bilen
, Andrea Vedaldi:
Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos. CVPR 2020: 8784-8794 - [c7]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Adaptive Text Recognition Through Visual Matching. ECCV (16) 2020: 51-67 - [c6]Carl Doersch, Ankush Gupta, Andrew Zisserman:
CrossTransformers: spatially-aware few-shot transfer. NeurIPS 2020 - [i8]Carl Doersch, Ankush Gupta, Andrew Zisserman:
CrossTransformers: spatially-aware few-shot transfer. CoRR abs/2007.11498 (2020) - [i7]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Adaptive Text Recognition through Visual Matching. CoRR abs/2009.06610 (2020)
2010 – 2019
- 2019
- [c5]Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih:
Unsupervised Learning of Object Keypoints for Perception and Control. NeurIPS 2019: 10723-10733 - [i6]Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih:
Unsupervised Learning of Object Keypoints for Perception and Control. CoRR abs/1906.11883 (2019) - [i5]Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Learning Landmarks from Unaligned Data using Image Translation. CoRR abs/1907.02055 (2019) - 2018
- [b1]Ankush Gupta:
Deep learning with synthetic, temporal, and adversarial supervision. University of Oxford, UK, 2018 - [c4]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Inductive Visual Localisation: Factorised Training for Superior Generalisation. BMVC 2018: 7 - [c3]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Learning to Read by Spelling: Towards Unsupervised Text Recognition. ICVGIP 2018: 33:1-33:10 - [c2]Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Unsupervised Learning of Object Landmarks through Conditional Image Generation. NeurIPS 2018: 4020-4031 - [i4]Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Conditional Image Generation for Learning the Structure of Visual Objects. CoRR abs/1806.07823 (2018) - [i3]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Inductive Visual Localisation: Factorised Training for Superior Generalisation. CoRR abs/1807.08179 (2018) - [i2]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Learning to Read by Spelling: Towards Unsupervised Text Recognition. CoRR abs/1809.08675 (2018) - 2016
- [c1]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Synthetic Data for Text Localisation in Natural Images. CVPR 2016: 2315-2324 - [i1]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Synthetic Data for Text Localisation in Natural Images. CoRR abs/1604.06646 (2016)
Coauthor Index
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