Shuhang Gu
42 papers · 2014–2025 · 7 conferences · across top CS/AI conferences
Achievements
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Conferences
CVPR (23)
ICCV (8)
ECCV (4)
NIPS (3)
ICML (2)
ICLR (1)
WACV (1)
Top co-authors
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