148 citations · 324 across the 13 of their papers we have counts for
13 papers
Learning Neural Volumetric Field for Point Cloud Geometry Compression
Yueyu Hu, Yao Wang
Due to the diverse sparsity, high dimensionality, and large temporal variation of dynamic point clouds, it remains a challenge to design an efficient point cloud compression method…
Learning to Predict on Octree for Scalable Point Cloud Geometry Coding
Yixiang Mao, Yueyu Hu, Yao Wang
Octree-based point cloud representation and compression have been adopted by the MPEG G-PCC standard. However, it only uses handcrafted methods to predict the probability that a le…
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…
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…
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,…
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…
Bridging the Gap Between Computational Photography and Visual Recognition
Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster +21
What is the current state-of-the-art for image restoration and enhancement applied to degraded images acquired under less than ideal circumstances? Can the application of such algo…
Progressive Spatial Recurrent Neural Network for Intra Prediction
Yueyu Hu, Wenhan Yang, Mading Li +1
Intra prediction is an important component of modern video codecs, which is able to efficiently squeeze out the spatial redundancy in video frames. With preceding pixels as the con…
A Group Variational Transformation Neural Network for Fractional Interpolation of Video Coding
Sifeng Xia, Wenhan Yang, Yueyu Hu +2
Motion compensation is an important technology in video coding to remove the temporal redundancy between coded video frames. In motion compensation, fractional interpolation is use…
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal
Xiaoshuai Zhang, Wenhan Yang, Yueyu Hu +1
JPEG is one of the most commonly used standards among lossy image compression methods. However, JPEG compression inevitably introduces various kinds of artifacts, especially at hig…
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding
Chunhui Liu, Yueyu Hu, Yanghao Li +2
Despite the fact that many 3D human activity benchmarks being proposed, most existing action datasets focus on the action recognition tasks for the segmented videos. There is a lac…