← Authors

Ding Liu

27 papers · 2006–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (19) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (33) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”¬ Deep Specialist (12) πŸ’Ž Century Club (27) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (98) πŸ”₯ Unstoppable (6) πŸš€ Conference Pioneer

Conferences

CVPR (5) AAAI (4) ICCV (4) NIPS (3) ACL (2) COLING (2) IJCAI (2) WACV (2) ECCV (1) EMNLP (1) NAACL (1)

Top co-authors

Thomas S. Huang (7) Zhangyang Wang (5) Daniel Gildea (5) Yuchen Fan (4) Shiyu Chang (4) Bihan Wen (3) Yiheng Zhu (3) Xiaohui Shen (3) Thomas Huang (3) Jiahui Yu (2)

Keywords

image restoration (7) image denoising (4) image super-resolution (4) deep learning (3) neural network (3) domain adaptation (2) attention mechanism (2) sparse coding (2) convolutional neural network (2) recurrent neural network (2) feature representation (2) channel attention (1) video generation (1) image synthesis (1) transfer learning (1) multi-task learning (1) sparse representation (1) image generation (1) shadow removal (1) object tracking (1)

Papers

Adaptive Caching for Faster Video Generation with Diffusion Transformers ICCV 2025
AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution AAAI 2024
ShadowFormer: Global Context Helps Shadow Removal AAAI 2023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring NIPS 2023
Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis WACV 2022
Progressive Temporal Feature Alignment Network for Video Inpainting CVPR 2021
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation AAAI 2021
A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder ICCV 2021
DAVID: Dual-Attentional Video Deblurring WACV 2020
Neural Sparse Representation for Image Restoration NIPS 2020
Learning Progressive Joint Propagation for Human Motion Prediction ECCV 2020
Scale-Wise Convolution for Image Restoration AAAI 2020
Non-Local Recurrent Network for Image Restoration NIPS 2018
Image Super-Resolution via Dual-State Recurrent Networks CVPR 2018
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach IJCAI 2018
Connecting Low-Level Image Processing and High-Level Vision via Deep Learning IJCAI 2018
Robust Video Super-Resolution With Learned Temporal Dynamics ICCV 2017
Studying Very Low Resolution Recognition Using Deep Networks CVPR 2016
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images CVPR 2016
Deep Networks for Image Super-Resolution With Sparse Prior ICCV 2015
Frequency-Based 3D Reconstruction of Transparent and Specular Objects CVPR 2014
A Novel Classifier Based on Quantum Computation ACL 2013
Semantic Role Features for Machine Translation COLING 2010
Bayesian Learning of Phrasal Tree-to-String Templates EMNLP 2009
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation NAACL 2007
Stochastic Iterative Alignment for Machine Translation Evaluation COLING 2006
Stochastic Iterative Alignment for Machine Translation Evaluation ACL 2006