activity
20192023
most citedKernelized Multiview Subspace Analysis by Self-weighted Learning

106 citations · 235 across the 25 of their papers we have counts for

collaborators

26 papers

cs.CV2023★ 1 cited

Cut-and-Paste: Subject-Driven Video Editing with Attention Control

Zhichao Zuo, Zhao Zhang, Yan Luo +4

This paper presents a novel framework termed Cut-and-Paste for real-word semantic video editing under the guidance of text prompt and additional reference image. While the text-dri…

cs.CV2023

Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement

Yanyan Wei, Zhao Zhang, Jiahuan Ren +5

The generalization capability of existing image restoration and enhancement (IRE) methods is constrained by the limited pre-trained datasets, making it difficult to handle agnostic…

cs.CV2022

Long-Range Zero-Shot Generative Deep Network Quantization

Yan Luo, Yangcheng Gao, Zhao Zhang +3

Quantization approximates a deep network model with floating-point numbers by the one with low bit width numbers, in order to accelerate inference and reduce computation. Quantizin…

cs.CV2022★ 2 cited

OSIC: A New One-Stage Image Captioner Coined

Bo Wang, Zhao Zhang, Mingbo Zhao +3

Mainstream image caption models are usually two-stage captioners, i.e., calculating object features by pre-trained detector, and feeding them into a language model to generate text…

cs.CV2022★ 2 cited

Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data

Zhao Zhang, Suiyi Zhao, Xiaojie Jin +4

Deep learning-based low-light image enhancement (LLIE) is a task of leveraging deep neural networks to enhance the image illumination while keeping the image content unchanged. Fro…

cs.CV2022★ 1 cited

FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring

Suiyi Zhao, Zhao Zhang, Richang Hong +3

Blind image deblurring (BID) remains a challenging and significant task. Benefiting from the strong fitting ability of deep learning, paired data-driven supervised BID method has o…