4 citations · 8 across the 6 of their papers we have counts for
6 papers
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter
Chao Liu, Xin Liu, Zitong Yu +3
Deep neural networks (DNNs) have been applied in many computer vision tasks and achieved state-of-the-art (SOTA) performance. However, misclassification will occur when DNNs predic…
Simultaneous Localization and Recognition of Subwavelength Non-Cooperative Entities Based on SISO Time Reversal and Neural Networks
Yinchen Wang, Yu Duan, Yu-Qi Ye +5
The simultaneous localization and recognition of subwavelength non-cooperative entities within complex multi-scattering environments using a simplified system continues to pose a s…
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
Chenguang Wang, Ruoxi Jia, Xin Liu +1
Pre-training image representations from the raw text about images enables zero-shot vision transfer to downstream tasks. Through pre-training on millions of samples collected from…
An Inexact Preconditioned Zeroth-order Proximal Method for Composite Optimization
Shanglin Liu, Lei Wang, Nachuan Xiao +1
In this paper, we consider the composite optimization problem, where the objective function integrates a continuously differentiable loss function with a nonsmooth regularization t…
Self-Consistent Narrative Prompts on Abductive Natural Language Inference
Chunkit Chan, Xin Liu, Tsz Ho Chan +4
Abduction has long been seen as crucial for narrative comprehension and reasoning about everyday situations. The abductive natural language inference (NLI) task has been propose…
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Xin Liu, Kaishen Yuan, Xuesong Niu +4
Facial Action Unit (AU) detection is a crucial task in affective computing and social robotics as it helps to identify emotions expressed through facial expressions. Anatomically,…