483 citations · 2.7k across the 59 of their papers we have counts for
11 papers · 1 filter
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…
From Design Draft to Real Attire: Unaligned Fashion Image Translation
Yu Han, Shuai Yang, Wenjing Wang +1
Fashion manipulation has attracted growing interest due to its great application value, which inspires many researches towards fashion images. However, little attention has been pa…
Recurrent Exposure Generation for Low-Light Face Detection
Jinxiu Liang, Jingwen Wang, Yuhui Quan +4
Face detection from low-light images is challenging due to limited photos and inevitable noise, which, to make the task even harder, are often spatially unevenly distributed. A nat…
Fashion Meets Computer Vision: A Survey
Wen-Huang Cheng, Sijie Song, Chieh-Yun Chen +2
Fashion is the way we present ourselves to the world and has become one of the world's largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention fro…
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,…
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition
Sijie Song, Jiaying Liu, Yanghao Li +1
With the prevalence of RGB-D cameras, multi-modal video data have become more available for human action recognition. One main challenge for this task lies in how to effectively le…
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…
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
Shuai Yang, Zhangyang Wang, Jiaying Liu +1
Sketch-based image editing aims to synthesize and modify photos based on the structural information provided by the human-drawn sketches. Since sketches are difficult to collect, p…
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…