44 citations · 99 across the 10 of their papers we have counts for
10 papers
ClearAIR: A Human-Visual-Perception-Inspired All-in-One Image Restoration
Xu Zhang, Huan Zhang, Guoli Wang +2
All-in-One Image Restoration (AiOIR) has advanced significantly, offering promising solutions for complex real-world degradations. However, most existing approaches rely heavily on…
UniUIR: Considering Underwater Image Restoration as An All-in-One Learner
Xu Zhang, Huan Zhang, Guoli Wang +3
Existing underwater image restoration (UIR) methods generally only handle color distortion or jointly address color and haze issues, but they often overlook the more complex degrad…
Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration
Xu Zhang, Jiaqi Ma, Guoli Wang +3
Existing All-in-One image restoration methods often fail to perceive degradation types and severity levels simultaneously, overlooking the importance of fine-grained quality percep…
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain
Xuanhua He, Tao Hu, Guoli Wang +9
RAW to sRGB mapping, which aims to convert RAW images from smartphones into RGB form equivalent to that of Digital Single-Lens Reflex (DSLR) cameras, has become an important area o…
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
Jiaqi Ma, Tianheng Cheng, Guoli Wang +3
Image restoration aims to reconstruct degraded images, e.g., denoising or deblurring. Existing works focus on designing task-specific methods and there are inadequate attempts at u…
OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation
Cheng Wang, Guoli Wang, Qian Zhang +3
Open-world instance segmentation has recently gained significant popularitydue to its importance in many real-world applications, such as autonomous driving, robot perception, and…
ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer
Jiaqi Ma, Shengyuan Yan, Lefei Zhang +2
In order to get raw images of high quality for downstream Image Signal Process (ISP), in this paper we present an Efficient Locally Multiplicative Transformer called ELMformer for…
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective
Helong Zhou, Liangchen Song, Jiajie Chen +4
Knowledge distillation is an effective approach to leverage a well-trained network or an ensemble of them, named as the teacher, to guide the training of a student network. The out…
High Fidelity Face Manipulation with Extreme Poses and Expressions
Chaoyou Fu, Yibo Hu, Xiang Wu +3
Face manipulation has shown remarkable advances with the flourish of Generative Adversarial Networks. However, due to the difficulties of controlling structures and textures, it is…
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing
Chaoyou Fu, Liangchen Song, Xiang Wu +2
Deep supervised hashing has become an active topic in information retrieval. It generates hashing bits by the output neurons of a deep hashing network. During binary discretization…