1 citations · 1 across the 17 of their papers we have counts for
6 papers · 1 filter
Subconscious Robotic Imitation Learning
Jun Xie, Zhicheng Wang, Jianwei Tan +2
Although robotic imitation learning (RIL) is promising for embodied intelligent robots, existing RIL approaches rely on computationally intensive multi-model trajectory predictions…
Constrained Behavior Cloning for Robotic Learning
Wensheng Liang, Jun Xie, Zhicheng Wang +2
Behavior cloning (BC) is a popular supervised imitation learning method in the societies of robotics, autonomous driving, etc., wherein complex skills can be learned by direct imit…
Group-Mix SAM: Lightweight Solution for Industrial Assembly Line Applications
Wu Liang, X. -G. Ma
Since the advent of the Segment Anything Model(SAM) approximately one year ago, it has engendered significant academic interest and has spawned a large number of investigations and…
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification
Shuai Li, Xiaoguang Ma, Shancheng Jiang +1
Remarkable successes were made in Medical Image Classification (MIC) recently, mainly due to wide applications of convolutional neural networks (CNNs). However, adversarial example…
ALow-Cost Real-Time Framework for Industrial Action Recognition Using Foundation Models
Zhicheng Wang, Wensheng Liang, Ruiyan Zhuang +3
Action recognition (AR) in industrial environments -- particularly for identifying actions and operational gestures -- faces persistent challenges due to high deployment costs, poo…
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
Shuai Li, Xiaoyu Jiang, Xiaoguang Ma
Deep neural networks were significantly vulnerable to adversarial examples manipulated by malicious tiny perturbations. Although most conventional adversarial attacks ensured the v…