Understanding Deep Networks via Extremal Perturbations and Smooth Masks. - Ruth Fong; Mandela Patrick; Andrea Vedaldi (ICCV, 2019)

Labelling unlabelled videos from scratch with multi-modal self-supervision. - Yuki Markus Asano; Mandela Patrick; Christian Rupprecht 001; Andrea Vedaldi (NeurIPS, 2020)

Multi-modal Self-Supervision from Generalized Data Transformations. - Mandela Patrick; Yuki Markus Asano; Ruth Fong; João F. Henriques; Geoffrey Zweig; Andrea Vedaldi (CoRR, 2020)

Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. - Mandela Patrick; Po-Yao Huang 001; Ishan Misra; Florian Metze; Andrea Vedaldi; Yuki M. Asano; João F. Henriques (ICCV, 2021)

On Compositions of Transformations in Contrastive Self-Supervised Learning. - Mandela Patrick; Yuki Markus Asano; Polina Kuznetsova; Ruth Fong; João F. Henriques; Geoffrey Zweig; Andrea Vedaldi (ICCV, 2021)

Support-set bottlenecks for video-text representation learning. - Mandela Patrick; Po-Yao Huang 001; Yuki Markus Asano; Florian Metze; Alexander G. Hauptmann; João F. Henriques; Andrea Vedaldi (ICLR, 2021)

Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. - Poyao Huang 001; Mandela Patrick; Junjie Hu 001; Graham Neubig; Florian Metze; Alex Hauptmann 001 (NAACL-HLT, 2021)

Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. - Mandela Patrick; Dylan Campbell; Yuki M. Asano; Ishan Misra; Florian Metze; Christoph Feichtenhofer; Andrea Vedaldi; João F. Henriques (NeurIPS, 2021)

Learning and interpreting deep representations from multi-modal data - Mandela Patrick (2021)