41 citations · 51 across the 9 of their papers we have counts for
9 papers
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
Tianjiao Li, Lin Geng Foo, Ping Hu +4
Learning with large-scale unlabeled data has become a powerful tool for pre-training Visual Transformers (VTs). However, prior works tend to overlook that, in real-world scenarios,…
GradMDM: Adversarial Attack on Dynamic Networks
Jianhong Pan, Lin Geng Foo, Qichen Zheng +4
Dynamic neural networks can greatly reduce computation redundancy without compromising accuracy by adapting their structures based on the input. In this paper, we explore the robus…
Progressive Channel-Shrinking Network
Jianhong Pan, Siyuan Yang, Lin Geng Foo +4
Currently, salience-based channel pruning makes continuous breakthroughs in network compression. In the realization, the salience mechanism is used as a metric of channel salience…
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu, Hossein Rahmani, Li Xu +2
In contrast to batch learning where all training data is available at once, continual learning represents a family of methods that accumulate knowledge and learn continuously with…
The Multi-Modal Video Reasoning and Analyzing Competition
Haoran Peng, He Huang, Li Xu +15
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC) workshop in conjunction with ICCV 2021. This competition is composed of four differen…
Multi-Branch with Attention Network for Hand-Based Person Recognition
Nathanael L. Baisa, Bryan Williams, Hossein Rahmani +2
In this paper, we propose a novel hand-based person recognition method for the purpose of criminal investigations since the hand image is often the only available information in ca…
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
Nathanael L. Baisa, Bryan Williams, Hossein Rahmani +2
In cases of serious crime, including sexual abuse, often the only available information with demonstrated potential for identification is images of the hands. Since this evidence i…
DL-Reg: A Deep Learning Regularization Technique using Linear Regression
Maryam Dialameh, Ali Hamzeh, Hossein Rahmani
Regularization plays a vital role in the context of deep learning by preventing deep neural networks from the danger of overfitting. This paper proposes a novel deep learning regul…
Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition
Jian Liu, Naveed Akhtar, Ajmal Mian
We propose Human Pose Models that represent RGB and depth images of human poses independent of clothing textures, backgrounds, lighting conditions, body shapes and camera viewpoint…