483 citations · 2.7k across the 59 of their papers we have counts for
60 papers
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
Yiyang Ma, Huan Yang, Wenhan Yang +2
Diffusion models, as a kind of powerful generative model, have given impressive results on image super-resolution (SR) tasks. However, due to the randomness introduced in the rever…
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning
Shixing Yu, Yiyang Ma, Wenhan Yang +2
Existing video frame interpolation methods can only interpolate the frame at a given intermediate time-step, e.g. 1/2. In this paper, we aim to explore a more generalized kind of v…
Semi-Supervised Learning for Mars Imagery Classification and Segmentation
Wenjing Wang, Lilang Lin, Zejia Fan +1
With the progress of Mars exploration, numerous Mars image data are collected and need to be analyzed. However, due to the imbalance and distortion of Martian data, the performance…
Neural Data-Dependent Transform for Learned Image Compression
Dezhao Wang, Wenhan Yang, Yueyu Hu +1
Learned image compression has achieved great success due to its excellent modeling capacity, but seldom further considers the Rate-Distortion Optimization (RDO) of each input image…
Towards Low Light Enhancement with RAW Images
Haofeng Huang, Wenhan Yang, Yueyu Hu +2
In this paper, we make the first benchmark effort to elaborate on the superiority of using RAW images in the low light enhancement and develop a novel alternative route to utilize…
Learning-Based Video Coding with Joint Deep Compression and Enhancement
Tiesong Zhao, Weize Feng, Hongji Zeng +2
The end-to-end learning-based video compression has attracted substantial attentions by paving another way to compress video signals as stacked visual features. This paper proposes…
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics
Wenhan Yang, Haofeng Huang, Yueyu Hu +2
Video Coding for Machines (VCM) is committed to bridging to an extent separate research tracks of video/image compression and feature compression, and attempts to optimize compactn…
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective
Yueyu Hu, Wenhan Yang, Haofeng Huang +1
Visual analytics have played an increasingly critical role in the Internet of Things, where massive visual signals have to be compressed and fed into machines. But facing such big…
HLA-Face: Joint High-Low Adaptation for Low Light Face Detection
Wenjing Wang, Wenhan Yang, Jiaying Liu
Face detection in low light scenarios is challenging but vital to many practical applications, e.g., surveillance video, autonomous driving at night. Most existing face detectors h…
Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos
Sijie Song, Xudong Lin, Jiaying Liu +2
In this paper, we address the problem of referring expression comprehension in videos, which is challenging due to complex expression and scene dynamics. Unlike previous methods wh…
Progressive residual learning for single image dehazing
Yudong Liang, Bin Wang, Jiaying Liu +3
The recent physical model-free dehazing methods have achieved state-of-the-art performances. However, without the guidance of physical models, the performances degrade rapidly when…
Progressive Depth Learning for Single Image Dehazing
Yudong Liang, Bin Wang, Jiaying Liu +3
The formulation of the hazy image is mainly dominated by the reflected lights and ambient airlight. Existing dehazing methods often ignore the depth cues and fail in distant areas…
Template-Free Try-on Image Synthesis via Semantic-guided Optimization
Chien-Lung Chou, Chieh-Yun Chen, Chia-Wei Hsieh +3
The virtual try-on task is so attractive that it has drawn considerable attention in the field of computer vision. However, presenting the three-dimensional (3D) physical character…
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…