activity
20142024
most citedMixNorm: Test-Time Adaptation Through Online Normalization Estimation

16 citations · 29 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024

PAD: Patch-Agnostic Defense against Adversarial Patch Attacks

Lihua Jing, Rui Wang, Wenqi Ren +2

Adversarial patch attacks present a significant threat to real-world object detectors due to their practical feasibility. Existing defense methods, which rely on attack data or pri…

cs.CV20241 cited

AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies

Rui Wang, Dengpan Ye, Long Tang +2

With the continuous improvements of deepfake methods, forgery messages have transitioned from single-modality to multi-modal fusion, posing new challenges for existing forgery dete…

cs.CV2023

Delving into Shape-aware Zero-shot Semantic Segmentation

Xinyu Liu, Beiwen Tian, Zhen Wang +5

Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a su…

cs.CV202310 cited

FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation

Jie Qin, Jie Wu, Pengxiang Yan +8

Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary categories of text-based descriptions, which popularizes the segmentation system to more gen…

cs.CV20231 cited

Super-Resolution Information Enhancement For Crowd Counting

Jiahao Xie, Wei Xu, Dingkang Liang +5

Crowd counting is a challenging task due to the heavy occlusions, scales, and density variations. Existing methods handle these challenges effectively while ignoring low-resolution…

cs.CV2022

A novel method for data augmentation: Nine Dot Moving Least Square (ND-MLS)

Wen Yang, Rui Wang, Yanchao Zhang

Data augmentation greatly increases the amount of data obtained based on labeled data to save on expenses and labor for data collection and labeling. We present a new approach for…