262 citations · 1.7k across the 63 of their papers we have counts for
10 papers · 1 filter
Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network
Zhangkai Ni, Wenhan Yang, Shiqi Wang +2
In this work, we aim to learn an unpaired image enhancement model, which can enrich low-quality images with the characteristics of high-quality images provided by users. We propose…
Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network
Zhangkai Ni, Wenhan Yang, Shiqi Wang +2
Improving the aesthetic quality of images is challenging and eager for the public. To address this problem, most existing algorithms are based on supervised learning methods to lea…
MSL: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition
Lilang Lin, Sijie Song, Wenhan Yan +1
In this paper, we address self-supervised representation learning from human skeletons for action recognition. Previous methods, which usually learn feature presentations from a si…
Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression
Shurun Wang, Shiqi Wang, Wenhan Yang +4
It plays a fundamental role to compactly represent the visual information towards the optimization of the ultimate utility in myriad visual data centered applications. With numerou…
End-to-End Facial Deep Learning Feature Compression with Teacher-Student Enhancement
Shurun Wang, Wenhan Yang, Shiqi Wang
In this paper, we propose a novel end-to-end feature compression scheme by leveraging the representation and learning capability of deep neural networks, towards intelligent front-…
Learning End-to-End Lossy Image Compression: A Benchmark
Yueyu Hu, Wenhan Yang, Zhan Ma +1
Image compression is one of the most fundamental techniques and commonly used applications in the image and video processing field. Earlier methods built a well-designed pipeline,…
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
Ling-Yu Duan, Jiaying Liu, Wenhan Yang +2
Video coding, which targets to compress and reconstruct the whole frame, and feature compression, which only preserves and transmits the most critical information, stand at two end…
Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach
Yueyu Hu, Shuai Yang, Wenhan Yang +2
The past decades have witnessed the rapid development of image and video coding techniques in the era of big data. However, the signal fidelity-driven coding pipeline design limits…
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal
Sifeng Xia, Kunchangtai Liang, Wenhan Yang +2
In this paper, we study a new problem arising from the emerging MPEG standardization effort Video Coding for Machine (VCM), which aims to bridge the gap between visual feature comp…
Combining Progressive Rethinking and Collaborative Learning: A Deep Framework for In-Loop Filtering
Dezhao Wang, Sifeng Xia, Wenhan Yang +1
In this paper, we aim to address issues of (1) joint spatial-temporal modeling and (2) side information injection for deep-learning based in-loop filter. For (1), we design a deep…