no code implementations • 15 Apr 2024 • Yueyu Hu, Onur G. Guleryuz, Philip A. Chou, Danhang Tang, Jonathan Taylor, Rus Maxham, Yao Wang
In this paper, we propose a new approach to upgrade a 2D video codec to support stereo RGB-D video compression, by wrapping it with a neural pre- and post-processor pair.
1 code implementation • 11 Dec 2022 • Yueyu Hu, Yao Wang
The neural field representation of the point cloud includes the network parameters and all the latent codes, which are generated by using back-propagation over the network parameters and its input.
no code implementations • 6 Sep 2022 • Yixiang Mao, Yueyu Hu, Yao Wang
Octree-based point cloud representation and compression have been adopted by the MPEG G-PCC standard.
1 code implementation • CVPR 2022 • Dezhao Wang, Wenhan Yang, Yueyu Hu, Jiaying Liu
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.
no code implementations • 28 Dec 2021 • Haofeng Huang, Wenhan Yang, Yueyu Hu, Jiaying Liu, Ling-Yu Duan
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 RAW images in a more flexible and practical way.
no code implementations • 18 Oct 2021 • Wenhan Yang, Haofeng Huang, Yueyu Hu, Ling-Yu Duan, Jiaying Liu
By keeping in mind the transferability among different machine vision tasks (e. g. high-level semantic and mid-level geometry-related), we aim to support multiple tasks jointly at low bit rates.
no code implementations • 16 Jun 2021 • Yueyu Hu, Wenhan Yang, Haofeng Huang, Jiaying Liu
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.
2 code implementations • 10 Feb 2020 • Yueyu Hu, Wenhan Yang, Zhan Ma, Jiaying Liu
In this paper, we first conduct a comprehensive literature survey of learned image compression methods.
no code implementations • 9 Jan 2020 • Yueyu Hu, Shuai Yang, Wenhan Yang, Ling-Yu Duan, Jiaying Liu
In this paper, we come up with a novel image coding framework by leveraging both the compressive and the generative models, to support machine vision and human perception tasks jointly.
no code implementations • 28 Jan 2019 • Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster, Michael Albright, Pedro Davalos, Scott McCloskey, Ben Miller, Asong Tambo, Sushobhan Ghosh, Sudarshan Nagesh, Ye Yuan, Yueyu Hu, Junru Wu, Wenhan Yang, Xiaoshuai Zhang, Jiaying Liu, Zhangyang Wang, Hwann-Tzong Chen, Tzu-Wei Huang, Wen-Chi Chin, Yi-Chun Li, Mahmoud Lababidi, Charles Otto, Walter J. Scheirer
From the observed results, it is evident that we are in the early days of building a bridge between computational photography and visual recognition, leaving many opportunities for innovation in this area.
2 code implementations • 6 Jul 2018 • Yueyu Hu, Wenhan Yang, Mading Li, Jiaying Liu
With preceding pixels as the context, traditional intra prediction schemes generate linear predictions based on several predefined directions (i. e. modes) for blocks to be encoded.
no code implementations • 19 Jun 2018 • Sifeng Xia, Wenhan Yang, Yueyu Hu, Siwei Ma, Jiaying Liu
Then a group variational transformation technique is used to transform a group of copied shared feature maps to samples at different sub-pixel positions.
Multimedia
no code implementations • 8 Jun 2018 • Xiaoshuai Zhang, Wenhan Yang, Yueyu Hu, Jiaying Liu
JPEG is one of the most commonly used standards among lossy image compression methods.
no code implementations • 22 Mar 2017 • Chunhui Liu, Yueyu Hu, Yanghao Li, Sijie Song, Jiaying Liu
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.