118 citations · 226 across the 15 of their papers we have counts for
23 papers
REST: REtrieve & Self-Train for generative action recognition
Adrian Bulat, Enrique Sanchez, Brais Martinez +1
This work is on training a generative action/video recognition model whose output is a free-form action-specific caption describing the video (rather than an action class label). A…
Subpixel Heatmap Regression for Facial Landmark Localization
Adrian Bulat, Enrique Sanchez, Georgios Tzimiropoulos
Deep Learning models based on heatmap regression have revolutionized the task of facial landmark localization with existing models working robustly under large poses, non-uniform i…
Defensive Tensorization
Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya +5
We propose defensive tensorization, an adversarial defence technique that leverages a latent high-order factorization of the network. The layers of a network are first expressed as…
SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021
Swathikiran Sudhakaran, Adrian Bulat, Juan-Manuel Perez-Rua +5
This report presents the technical details of our submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021. To participate in the challenge we deployed spatio-temporal…
Space-time Mixing Attention for Video Transformer
Adrian Bulat, Juan-Manuel Perez-Rua, Swathikiran Sudhakaran +2
This paper is on video recognition using Transformers. Very recent attempts in this area have demonstrated promising results in terms of recognition accuracy, yet they have been al…
Bit-Mixer: Mixed-precision networks with runtime bit-width selection
Adrian Bulat, Georgios Tzimiropoulos
Mixed-precision networks allow for a variable bit-width quantization for every layer in the network. A major limitation of existing work is that the bit-width for each layer must b…