activity
20192026
most citedUnderstanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack

8 citations · 46 across the 24 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CV2022★ 1 cited

Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack

Yunfeng Diao, He Wang, Tianjia Shao +4

Human Activity Recognition (HAR) has been employed in a wide range of applications, e.g. self-driving cars, where safety and lives are at stake. Recently, the robustness of skeleto…

cs.CV2022★ 1 cited

LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise

He Wang, Lin Wan, He Tang

Pixel-wise prediction with deep neural network has become an effective paradigm for salient object detection (SOD) and achieved remarkable performance. However, very few SOD models…

cs.CV2022

iPLAN: Interactive and Procedural Layout Planning

Feixiang He, Yanlong Huang, He Wang

Layout design is ubiquitous in many applications, e.g. architecture/urban planning, etc, which involves a lengthy iterative design process. Recently, deep learning has been leverag…

cs.CV2022

Defending Black-box Skeleton-based Human Activity Classifiers

He Wang, Yunfeng Diao, Zichang Tan +1

Skeletal motions have been heavily replied upon for human activity recognition (HAR). Recently, a universal vulnerability of skeleton-based HAR has been identified across a variety…

cs.RO2022

Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations

Hao Shen, Weikang Wan, He Wang

Generalizable object manipulation skills are critical for intelligent and multi-functional robots to work in real-world complex scenes. Despite the recent progress in reinforcement…

cs.CV2022

Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction

Jiawei Lu, He Wang, Tianjia Shao +2

Generating new images with desired properties (e.g. new view/poses) from source images has been enthusiastically pursued recently, due to its wide range of potential applications.…