1 citations · 1 across the 8 of their papers we have counts for
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TANet: Triplet Attention Network for All-In-One Adverse Weather Image Restoration
Hsing-Hua Wang, Fu-Jen Tsai, Yen-Yu Lin +1
Adverse weather image restoration aims to remove unwanted degraded artifacts, such as haze, rain, and snow, caused by adverse weather conditions. Existing methods achieve remarkabl…
Make Graph-based Referring Expression Comprehension Great Again through Expression-guided Dynamic Gating and Regression
Jingcheng Ke, Dele Wang, Jun-Cheng Chen +3
One common belief is that with complex models and pre-training on large-scale datasets, transformer-based methods for referring expression comprehension (REC) perform much better t…
Domain-adaptive Video Deblurring via Test-time Blurring
Jin-Ting He, Fu-Jen Tsai, Jia-Hao Wu +4
Dynamic scene video deblurring aims to remove undesirable blurry artifacts captured during the exposure process. Although previous video deblurring methods have achieved impressive…
PANet: A Physics-guided Parametric Augmentation Net for Image Dehazing by Hazing
Chih-Ling Chang, Fu-Jen Tsai, Zi-Ling Huang +2
Image dehazing faces challenges when dealing with hazy images in real-world scenarios. A huge domain gap between synthetic and real-world haze images degrades dehazing performance…