103 citations · 446 across the 30 of their papers we have counts for
32 papers
TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality Explorations
Qi Yang, Joel Jung, Timon Deschamps +2
Dynamic colored meshes (DCM) are widely used in various applications; however, these meshes may undergo different processes, such as compression or transmission, which can distort…
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations
Yang Sui, Zhuohang Li, Ding Ding +4
Learned Image Compression (LIC) has recently become the trending technique for image transmission due to its notable performance. Despite its popularity, the robustness of LIC with…
Enhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation
Chen Feng, Zihao Qi, Duolikun Danier +4
It is well known that high dynamic range (HDR) video can provide more immersive visual experiences compared to conventional standard dynamic range content. However, HDR content is…
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
Zhihao Hu, Guo Lu, Jinyang Guo +3
The previous deep video compression approaches only use the single scale motion compensation strategy and rarely adopt the mode prediction technique from the traditional standards…
Video-based Point Cloud Compression Artifact Removal
Anique Akhtar, Wen Gao, Li Li +3
Photo-realistic point cloud capture and transmission are the fundamental enablers for immersive visual communication. The coding process of dynamic point clouds, especially video-b…
Recent Standard Development Activities on Video Coding for Machines
Wen Gao, Shan Liu, Xiaozhong Xu +3
In recent years, video data has dominated internet traffic and becomes one of the major data formats. With the emerging 5G and internet of things (IoT) technologies, more and more…
An Optimized H.266/VVC Software Decoder On Mobile Platform
Yiming Li, Shan Liu, Yu Chen +4
As the successor of H.265/HEVC, the new versatile video coding standard (H.266/VVC) can provide up to 50% bitrate saving with the same subjective quality, at the cost of increased…
Study On Coding Tools Beyond Av1
Xin Zhao, Liang Zhao, Madhu Krishnan +5
The Alliance for Open Media has recently initiated coding tool exploration activities towards the next-generation video coding beyond AV1. With this regard, this paper presents a p…
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
Yuanqi Chen, Ge Li, Cece Jin +2
This paper observes that there is an issue of high frequencies missing in the discriminator of standard GAN, and we reveal it stems from downsampling layers employed in the network…
A software decoder implementation for H.266/VVC video coding standard
Bin Zhu, Shan Liu, Yuan Liu +8
Versatile Video Coding Standard (H.266/VVC) was completed by Joint Video Expert Team (JVET) of ITU-T and ISO/IEC, in July 2020. This new ITU recommendation/international standard i…
Overview of Screen Content Coding in Recently Developed Video Coding Standards
Xiaozhong Xu, Shan Liu
In recent years, screen content (SC) video including computer generated text, graphics and animations, have drawn more attention than ever, as many related applications become very…
Referenceless Rate-Distortion Modeling with Learning from Bitstream and Pixel Features
Yangfan Sun, Li Li, Zhu Li +1
Generally, adaptive bitrates for variable Internet bandwidths can be obtained through multi-pass coding. Referenceless prediction-based methods show practical benefits compared wit…
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)
Pranav Kadam, Min Zhang, Shan Liu +1
An unsupervised point cloud registration method, called salient points analysis (SPA), is proposed in this work. The proposed SPA method can register two point clouds effectively u…
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation
Min Zhang, Pranav Kadam, Shan Liu +1
In contrast to supervised backpropagation-based feature learning in deep neural networks (DNNs), an unsupervised feedforward feature (UFF) learning scheme for joint classification…
Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation
Yurui Ren, Ge Li, Shan Liu +1
Pose-guided person image generation and animation aim to transform a source person image to target poses. These tasks require spatial manipulation of source data. However, Convolut…
Toward Zero-Shot Unsupervised Image-to-Image Translation
Yuanqi Chen, Xiaoming Yu, Shan Liu +1
Recent studies have shown remarkable success in unsupervised image-to-image translation. However, if there has no access to enough images in target classes, learning a mapping from…
Learning Model-Blind Temporal Denoisers without Ground Truths
Yanghao Li, Bichuan Guo, Jiangtao Wen +3
Denoisers trained with synthetic data often fail to cope with the diversity of unknown noises, giving way to methods that can adapt to existing noise without knowing its ground tru…
AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN
Zewang Zhang, Qiao Tian, Heng Lu +2
This paper investigates how to leverage a DurIAN-based average model to enable a new speaker to have both accurate pronunciation and fluent cross-lingual speaking with very limited…
FeatherWave: An efficient high-fidelity neural vocoder with multi-band linear prediction
Qiao Tian, Zewang Zhang, Heng Lu +2
In this paper, we propose the FeatherWave, yet another variant of WaveRNN vocoder combining the multi-band signal processing and the linear predictive coding. The LPCNet, a recentl…
PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
Min Zhang, Yifan Wang, Pranav Kadam +2
The PointHop method was recently proposed by Zhang et al. for 3D point cloud classification with unsupervised feature extraction. It has an extremely low training complexity while…
Linear Model based Geometry Coding for Lidar Acquired Point Clouds
Xiang Zhang, Wen Gao, Shan Liu
In this paper, we propose a new geometry coding method for point cloud compression (PCC), where the points can be fitted and represented by straight lines. The encoding of the line…
Video-based compression for plenoptic point clouds
Li Li, Zhu Li, Shan Liu +1
The plenoptic point cloud that has multiple colors from various directions, is a more complete representation than the general point cloud that usually has only one color. It is mo…
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
Wei-Hong Lin, Jia-Xing Zhong, Shan Liu +2
Generic object detection algorithms have proven their excellent performance in recent years. However, object detection on underwater datasets is still less explored. In contrast to…
C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network
Munan Xu, Junming Chen, Haiqiang Wang +3
Traditional video quality assessment (VQA) methods evaluate localized picture quality and video score is predicted by temporally aggregating frame scores. However, video quality ex…