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20192025
most citedUnderstanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack

8 citations · 24 across the 11 of their papers we have counts for

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10 papers · 1 filter

cs.CV2024

GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation

Jiawei Lu, Yingpeng Zhang, Zengjun Zhao +3

Large-scale text-guided image diffusion models have shown astonishing results in text-to-image (T2I) generation. However, applying these models to synthesize textures for 3D geomet…

cs.CV20221 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

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.…

cs.CV2021

Unsupervised Image Generation with Infinite Generative Adversarial Networks

Hui Ying, He Wang, Tianjia Shao +2

Image generation has been heavily investigated in computer vision, where one core research challenge is to generate images from arbitrarily complex distributions with little superv…

cs.CV20218 cited

Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack

He Wang, Feixiang He, Zhexi Peng +4

Action recognition has been heavily employed in many applications such as autonomous vehicles, surveillance, etc, where its robustness is a primary concern. In this paper, we exami…

cs.CV20212 cited

Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions

Ruixu Liu, Ju Shen, He Wang +3

The attention mechanism provides a sequential prediction framework for learning spatial models with enhanced implicit temporal consistency. In this work, we show a systematic desig…