GRNet: Geometry Restoration for G-PCC Compressed Point Clouds Using Auxiliary Density Signaling
Gexin Liu, Ruixiang Xue, Jiaxin Li, Dandan Ding, Zhan Ma;
Published in IEEE Transactions on Visualization and Computer Graphics, 2024
Publications, recent 5 years
You can also find my articles on my Google Scholar profile.
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
Yichi Zhang, Zhihao Duan, Ming Lu, Dandan Ding, Fengqing Zhu, Zhan Ma;
Published in thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 2024
Paired decision trees for fast intra decision in H. 266/VVC
Shengrong Wen, Gongchun Ding, Dandan Ding*;
Published in Displays, 2023
Scalable Point Cloud Attribute Compression
Junteng Zhang, Jianqiang Wang, Dandan Ding, Zhan Ma;
Published in Scalable Point Cloud Attribute Compression, IEEE Trans. Multimedia (TMM), 2023
YOGA: Yet Another Geometry-based Point Cloud Compressor
Junteng Zhang, Tong Chen, Dandan Ding, and Zhan Ma;
Published in 31st ACM International Conference on Multimedia (ACM MM), 2023
G-PCC++: Enhanced Geometry-based Point Cloud Compression
Junzhe Zhang, Tong Chen, Dandan Ding, and Zhan Ma;
Published in 31st ACM International Conference on Multimedia (ACM MM), 2023
On Content-Aware Post-Processing: Adapting Statistically Learned Models to Dynamic Content
Yichi Zhang, Gongchun Ding, Dandan Ding*, Zhan Ma, and Zhu Li;
Published in ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), 2023
Accelerating QTMT-based CU partition and intra mode decision for versatile video coding
Gongchun Ding, Xiujun Lin, Junjie Wang, Dandan Ding;
Published in Journal of Visual Communication and Image Representation, 2023
Neural Adaptive Loop Filtering for Video Coding: Exploring Multi-Hypothesis Sample Refinement
Dandan Ding, Junjie Wang, Guangkun Zhen, Debargha Mukherjee, Urvang Joshi, Zhan Ma;
Published in IEEE Transactions on Circuits and Systems for Video Technology, 2023
Lossless Point Cloud Attribute Compression Using Cross-scale, Cross-group, and Cross-color Prediction
Jianqiang Wang, Dandan Ding, and Zhan Ma;
Published in IEEE Data Compression Conference (DCC), 2023
A cross-scale framework for low-light image enhancement using spatial-spectral information
Zhang, Yichi, Hengyu Liu, and Dandan Ding;
Published in Computers and Electrical Engineering, 2023
Learning-based underwater image enhancement: An efficient two-stream approach
Dandan Ding, Shiwei Gan, Long Chen, Ben Wang;
Published in Displays, 2023
Low Light RAW Image Enhancement Using Paired Fast Fourier Convolution and Transformer
Yichi Zhang, Hengyu Liu, Dandan Ding, Zhan Ma;
Published in 2022 IEEE International Conference on Visual Communications and Image Processing (VCIP), Suzhou, China, 2022
PCGFormer: Lossy Point Cloud Geometry Compression via Local Self-Attention
Gexin Liu, Jianqiang Wang, Dandan Ding, Zhan Ma;
Published in 2022 IEEE International Conference on Visual Communications and Image Processing (VCIP), Suzhou, China, 2022
Sparse Tensor-Based Multiscale Representation for Point Cloud Geometry Compression
Jianqiang Wang, Dandan Ding, Zhu Li, Xiaoxing Feng, Chuntong Cao, Zhan Ma;
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Quadtree-based Guided CNN for AV1 In-loop Filtering
Junjie Wang, Gongchun Ding, Dandan Ding, Debargha Mukherjee, Urvang Joshi, Yue Chen;
Published in 2022 IEEE International Conference on Image Processing (ICIP), 2022
An efficient learning-based method for underwater image enhancement
Zhangkai Lyu, Andrew Peng, Qingwei Wang, Dandan Ding;
Published in Displays, 2022
Decoder-Side Cross Resolution Synthesis for Video Compression Enhancement
Ming Lu, Tong Chen, Zhenyu Dai, Dong Wang, Dandan Ding, and Zhan Ma ;
Published in IEEE Transactions on Multimedia, 2022
Neural Reference Synthesis for Inter Frame Coding
Dandan Ding, Xiang Gao, Chenran Tang, Zhan Ma ;
Published in IEEE Transactions on Image Processing, 2021
Lossy Point Cloud Geometry Compression via Region-Wise Processing
Wenjie Zhu; Yiling Xu; Dandan Ding; Zhan Ma; Mike Nilsson;
Published in IEEE Transactions on Circuits and Systems for Video Technology, 2021
Point Cloud Upsampling via Perturbation Learning
Dandan Ding, Chi Qiu, Fuchang Liu, Zhigeng Pan*;
Published in IEEE Transactions on Circuits and Systems for Video Technology, 2021
A progressive CNN in-loop filtering approach for inter frame coding
Dandan Ding, Lingyi Kong, Wenyu Wang, and Fengqing Zhu;
Published in Signal Processing: Image Communication, 2021
Multiscale Point Cloud Geometry Compression
Jianqiang Wang, Dandan Ding, Zhu Li, and Zhan Ma*;
Published in IEEE Data Compression Conference (DCC), Snow Bird, UT, USA, 2021
Advances in Video Compression System Using Deep Neural Network: A Review and Case Studies
Dandan Ding, Zhan Ma, Di Chen, Qingshuang Chen, Zoe Liu, and Fengqing Zhu*;
Published in Proceedings of the IEEE, 2021
Guided CNN Restoration with Explicitly Signaled Linear Combination
Lingyi Kong, Dandan Ding, Debargha Mukherjee, Urvang Joshi, Yue Chen;
Published in IEEE International Conference on Image Processing (ICIP), 2020
Biprediction-Based Video Quality Enhancement via Learning
Dandan Ding, Wenyu Wang, Xinbo Gao, Zoe Liu, and Yong Fang*;
Published in IEEE transactions on Cybernetics, 2020
A CNN-based In-loop Filtering Approach for AV1 Video Codec
Dandan Ding, Guangyao Chen, Debargha Mukherjee, Urvang Joshi, and Yue Chen;
Published in Picture Coding Symposium (PCS), 2019
A deep learning approach for quality enhancement of surveillance video
Dandan Ding, Junchao Tong, and Lingyi Kong;
Published in Journal of Intelligent Transportation Systems, 2019
Learning-Based Multi-Frame Video Quality Enhancement
Junchao Tong, Xilin Wu, Dandan Ding, Zheng Zhu, and Zoe Liu;
Published in IEEE International Conference on Image Processing (ICIP), 2019
AV1 in-loop Filtering using a Wide-Activation Structured Residual Network
Guangyao Chen, Dandan Ding, Debargha Mukherjee, Urvang Joshi, and Yue Chen;
Published in IEEE International Conference on Image Processing (ICIP), 2019
Real-Time H.265/HEVC Intra Encoding with a Configurable Architecture on FPGA Platform
Dandan Ding, WANG Silong, LIU Zoe, and YUAN Qingshu;
Published in Chinese Journal of Electronics, 2019
A Switchable Deep Learning Approach for In-Loop Filtering in Video Coding
Dandan Ding, Lingyi Kong, Guangyao Chen, Zoe Liu, and Yong Fang*;
Published in IEEE Transactions on Circuits and Systems for Video Technology, 2019