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 Download Paper
Posts by Collection
papers-conference
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 Download Paper
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 Download Paper
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 Download Paper
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 Download Paper
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 Download Paper
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 Download Paper
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 Download Paper
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 Download Paper
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 Download Paper
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 Download Paper
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 Download Paper
papers-journal
GRNet: Geometry Restoration for G-PCC Compressed Point Clouds Using Auxiliary Density Signaling
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portfolio
project
publications
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
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
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
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
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
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
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
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
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
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
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
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
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
Neural Reference Synthesis for Inter Frame Coding
Dandan Ding, Xiang Gao, Chenran Tang, Zhan Ma ;
Published in IEEE Transactions on Image Processing, 2021
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
An efficient learning-based method for underwater image enhancement
Zhangkai Lyu, Andrew Peng, Qingwei Wang, Dandan Ding;
Published in Displays, 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
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
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
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
Learning-based underwater image enhancement: An efficient two-stream approach
Dandan Ding, Shiwei Gan, Long Chen, Ben Wang;
Published in Displays, 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
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
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
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
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
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
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
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
Paired decision trees for fast intra decision in H. 266/VVC
Shengrong Wen, Gongchun Ding, Dandan Ding*;
Published in Displays, 2023
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
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
teaching
Image Processing and Machine Vision
M.S. student, School of Information Science and Technology
Computer Network
Junior undergraduate student, School of Information Science and Technology
Operating System
Junior undergraduate student, School of Information Science and Technology