← Authors

Shuhang Gu

42 papers · 2014–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (61) 🐝 Cross-Pollinator (12) 🏠 Conference Loyalist (23) πŸ”¬ Deep Specialist (18) 🀝 Dynamic Duo (13) 🧬 Topic Evolution πŸ† Keyword Champion πŸ”₯ Unstoppable (12) ⚑ Prolific Year (5) πŸ’Ž Century Club (42) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (179)

Conferences

CVPR (23) ICCV (8) ECCV (4) NIPS (3) ICML (2) ICLR (1) WACV (1)

Top co-authors

Radu Timofte (13) Luc Van Gool (11) Lei Zhang (10) Wangmeng Zuo (10) Yawei Li (8) Wen Li (7) Leheng Zhang (7) Xingyu Zhou (6) Kexuan Shi (5) Deyu Meng (4)

Keywords

image restoration (9) convolutional neural network (6) image denoising (5) discriminative learning (3) unsupervised learning (3) diffusion model (3) rate-distortion optimization (3) image super-resolution (3) depth estimation (3) domain adaptation (2) image generation (2) convolutional sparse coding (2) normalizing flow (2) feature representation (2) dictionary learning (2) low-rank decomposition (2) vision transformer (2) image compression (2) self-supervised learning (2) efficient computing (2)

Papers

Robust Message Embedding via Attention Flow-Based Steganography CVPR 2025
Learned Image Compression with Dictionary-based Entropy Model CVPR 2025
GeoDepth: From Point-to-Depth to Plane-to-Depth Modeling for Self-Supervised Monocular Depth Estimation CVPR 2025
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model CVPR 2025
Progressive Focused Transformer for Single Image Super-Resolution CVPR 2025
Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations ICML 2025
Consistency Trajectory Matching for One-Step Generative Super-Resolution ICCV 2025
PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Model ICCV 2025
Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement ICCV 2025
Improved Implicit Neural Representation with Fourier Reparameterized Training CVPR 2024
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary CVPR 2024
Stereo Risk: A Continuous Modeling Approach to Stereo Matching ICML 2024
Causal Context Adjustment Loss for Learned Image Compression NIPS 2024
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention CVPR 2024
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take CVPR 2023
VA-DepthNet: A Variational Approach to Single Image Depth Prediction ICLR 2023
Learning Motion Refinement for Unsupervised Face Animation NIPS 2023
Revisiting Random Channel Pruning for Neural Network Compression CVPR 2022
"Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks" ECCV 2022
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning WACV 2021
Flow-Based Kernel Prior With Application to Blind Super-Resolution CVPR 2021
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training CVPR 2021
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures CVPR 2021
Video Super-Resolution with Recurrent Structure-Detail Network ECCV 2020
Multi-Domain Learning for Accurate and Few-Shot Color Constancy CVPR 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression CVPR 2020
Improving Deep Video Compression by Resolution-adaptive Flow Coding ECCV 2020
DHP: Differentiable Meta Pruning via HyperNetworks ECCV 2020
Self-Guided Network for Fast Image Denoising ICCV 2019
Fast Image Restoration With Multi-Bin Trainable Linear Units ICCV 2019
Learning Filter Basis for Convolutional Neural Network Compression ICCV 2019
Learning Convolutional Networks for Content-Weighted Image Compression CVPR 2018
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding CVPR 2018
Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation ICCV 2017
Learning Deep CNN Denoiser Prior for Image Restoration CVPR 2017
Learning Dynamic Guidance for Depth Image Enhancement CVPR 2017
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection CVPR 2016
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization CVPR 2016
Convolutional Sparse Coding for Image Super-Resolution ICCV 2015
Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution CVPR 2015
Projective dictionary pair learning for pattern classification NIPS 2014
Weighted Nuclear Norm Minimization with Application to Image Denoising CVPR 2014