Synthetic Data for Text Localisation in Natural Images. - Ankush Gupta 001; Andrea Vedaldi; Andrew Zisserman (CVPR, 2016)

Inductive Visual Localisation: Factorised Training for Superior Generalisation. - Ankush Gupta 001; Andrea Vedaldi; Andrew Zisserman (BMVC, 2018)

Learning to Read by Spelling: Towards Unsupervised Text Recognition. - Ankush Gupta 001; Andrea Vedaldi; Andrew Zisserman (ICVGIP, 2018)

Unsupervised Learning of Object Landmarks through Conditional Image Generation. - Tomas Jakab; Ankush Gupta 001; Hakan Bilen; Andrea Vedaldi (NeurIPS, 2018)

Conditional Image Generation for Learning the Structure of Visual Objects. - Tomas Jakab; Ankush Gupta 001; Hakan Bilen; Andrea Vedaldi (CoRR, 2018)

Deep learning with synthetic, temporal, and adversarial supervision. - Ankush Gupta 001 (2018)

Unsupervised Learning of Object Keypoints for Perception and Control. - Tejas D. Kulkarni; Ankush Gupta 001; Catalin Ionescu; Sebastian Borgeaud; Malcolm Reynolds; Andrew Zisserman; Volodymyr Mnih (NeurIPS, 2019)

Learning Landmarks from Unaligned Data using Image Translation. - Tomas Jakab; Ankush Gupta 001; Hakan Bilen; Andrea Vedaldi (CoRR, 2019)

Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos. - Tomas Jakab; Ankush Gupta 001; Hakan Bilen; Andrea Vedaldi (CVPR, 2020)

Adaptive Text Recognition Through Visual Matching. - Chuhan Zhang; Ankush Gupta 001; Andrew Zisserman (ECCV (16), 2020)

CrossTransformers: spatially-aware few-shot transfer. - Carl Doersch; Ankush Gupta 001; Andrew Zisserman (NeurIPS, 2020)

Temporal Query Networks for Fine-Grained Video Understanding. - Chuhan Zhang; Ankush Gupta 001; Andrew Zisserman (CVPR, 2021)

Is an Object-Centric Video Representation Beneficial for Transfer? - Chuhan Zhang; Ankush Gupta 001; Andrew Zisserman (ACCV (4), 2022)

TAP-Vid: A Benchmark for Tracking Any Point in a Video. - Carl Doersch; Ankush Gupta 001; Larisa Markeeva; Adrià Recasens; Lucas Smaira; Yusuf Aytar; João Carreira 001; Andrew Zisserman; Yi Yang 007 (NeurIPS, 2022)

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. - Carl Doersch; Yi Yang 007; Mel Vecerík; Dilara Gokay; Ankush Gupta 001; Yusuf Aytar; João Carreira 001; Andrew Zisserman (ICCV, 2023)

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models. - Vishaal Udandarao; Ankush Gupta 001; Samuel Albanie (ICCV, 2023)

Helping Hands: An Object-Aware Ego-Centric Video Recognition Model. - Chuhan Zhang; Ankush Gupta 001; Andrew Zisserman (ICCV, 2023)

Perception Test: A Diagnostic Benchmark for Multimodal Video Models. - Viorica Patraucean; Lucas Smaira; Ankush Gupta 001; Adrià Recasens; Larisa Markeeva; Dylan Banarse; Skanda Koppula; Joseph Heyward; Mateusz Malinowski; Yi Yang 007; Carl Doersch; Tatiana Matejovicova; et al. (NeurIPS, 2023)

BootsTAP: Bootstrapped Training for Tracking-Any-Point. - Carl Doersch; Pauline Luc; Yi Yang 007; Dilara Gokay; Skanda Koppula; Ankush Gupta 001; Joseph Heyward; Ignacio Rocco; Ross Goroshin; João Carreira 001; Andrew Zisserman (ACCV (2), 2024)