4 citations · 9 across the 4 of their papers we have counts for
4 papers
Masked Image Residual Learning for Scaling Deeper Vision Transformers
Guoxi Huang, Hongtao Fu, Adrian G. Bors
Deeper Vision Transformers (ViTs) are more challenging to train. We expose a degradation problem in deeper layers of ViT when using masked image modeling (MIM) for pre-training. To…
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training
Guoxi Huang, Adrian G. Bors
Static appearance of video may impede the ability of a deep neural network to learn motion-relevant features in video action recognition. In this paper, we introduce a new concept,…
Region-based Non-local Operation for Video Classification
Guoxi Huang, Adrian G. Bors
Convolutional Neural Networks (CNNs) model long-range dependencies by deeply stacking convolution operations with small window sizes, which makes the optimizations difficult. This…
Learning spatio-temporal representations with temporal squeeze pooling
Guoxi Huang, Adrian G. Bors
In this paper, we propose a new video representation learning method, named Temporal Squeeze (TS) pooling, which can extract the essential movement information from a long sequence…