89 citations · 167 across the 11 of their papers we have counts for
4 papers · 1 filter
Memory Consolidation Enables Long-Context Video Understanding
Ivana Balažević, Yuge Shi, Pinelopi Papalampidi +3
Most transformer-based video encoders are limited to short temporal contexts due to their quadratic complexity. While various attempts have been made to extend this context, this h…
Tuning computer vision models with task rewards
André Susano Pinto, Alexander Kolesnikov, Yuge Shi +2
Misalignment between model predictions and intended usage can be detrimental for the deployment of computer vision models. The issue is exacerbated when the task involves complex s…
Adversarial Masking for Self-Supervised Learning
Yuge Shi, N. Siddharth, Philip H. S. Torr +1
We propose ADIOS, a masked image model (MIM) framework for self-supervised learning, which simultaneously learns a masking function and an image encoder using an adversarial object…
Action Anticipation with RBF Kernelized Feature Mapping RNN
Yuge Shi, Basura Fernando, Richard Hartley
We introduce a novel Recurrent Neural Network-based algorithm for future video feature generation and action anticipation called feature mapping RNN. Our novel RNN architecture bui…