activity
20172021
most citedXNOR-Net++: Improved Binary Neural Networks

118 citations · 232 across the 17 of their papers we have counts for

collaborators

33 papers

cs.LG2021

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV202157 cited

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…

cs.LG2021

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…

cs.CV2021

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…