1.5k citations · 2.7k across the 37 of their papers we have counts for
8 papers · 1 filter
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…
WarpedGANSpace: Finding non-linear RBF paths in GAN latent space
Christos Tzelepis, Georgios Tzimiropoulos, Ioannis Patras
This work addresses the problem of discovering, in an unsupervised manner, interpretable paths in the latent space of pretrained GANs, so as to provide an intuitive and easy way of…
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…
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition
Enrique Sanchez, Mani Kumar Tellamekala, Michel Valstar +1
Temporal context is key to the recognition of expressions of emotion. Existing methods, that rely on recurrent or self-attention models to enforce temporal consistency, work on the…
Pre-training strategies and datasets for facial representation learning
Adrian Bulat, Shiyang Cheng, Jing Yang +3
What is the best way to learn a universal face representation? Recent work on Deep Learning in the area of face analysis has focused on supervised learning for specific tasks of in…
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining
Adrian Bulat, Enrique Sánchez-Lozano, Georgios Tzimiropoulos
An important component of unsupervised learning by instance-based discrimination is a memory bank for storing a feature representation for each training sample in the dataset. In t…