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20222024
most citedRobust Real-World Image Super-Resolution against Adversarial Attacks

923 citations · 969 across the 7 of their papers we have counts for

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7 papers

cs.CV202441 cited

IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images

Meilin Wang, Yexing Song, Pengxu Wei +3

Deep learning technologies have demonstrated their effectiveness in removing cloud cover from optical remote-sensing images. Convolutional Neural Networks (CNNs) exert dominance in…

cs.CV2023

Towards Real-World Burst Image Super-Resolution: Benchmark and Method

Pengxu Wei, Yujing Sun, Xingbei Guo +4

Despite substantial advances, single-image super-resolution (SISR) is always in a dilemma to reconstruct high-quality images with limited information from one input image, especial…

cs.CV20231 cited

Identity-Preserving Talking Face Generation with Landmark and Appearance Priors

Weizhi Zhong, Chaowei Fang, Yinqi Cai +4

Generating talking face videos from audio attracts lots of research interest. A few person-specific methods can generate vivid videos but require the target speaker's videos for tr…

cs.CV20231 cited

Masked Images Are Counterfactual Samples for Robust Fine-tuning

Yao Xiao, Ziyi Tang, Pengxu Wei +2

Deep learning models are challenged by the distribution shift between the training data and test data. Recently, the large models pre-trained on diverse data have demonstrated unpr…

cs.CV2022923 cited

Robust Real-World Image Super-Resolution against Adversarial Attacks

Jiutao Yue, Haofeng Li, Pengxu Wei +2

Recently deep neural networks (DNNs) have achieved significant success in real-world image super-resolution (SR). However, adversarial image samples with quasi-imperceptible noises…

cs.CV20223 cited

Adversarially-Aware Robust Object Detector

Ziyi Dong, Pengxu Wei, Liang Lin

Object detection, as a fundamental computer vision task, has achieved a remarkable progress with the emergence of deep neural networks. Nevertheless, few works explore the adversar…