Wenhan Yang
62 papers · 2017–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (79) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(32)
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(6)
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Topic Evolution
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Prolific Year Β· Prolific
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The Questioner
(2)
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Century Club Β· Silver
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Keyword Collector
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Top co-authors
Research topics
Deep Learning
(45)
Computer Vision
(41)
Machine Learning
(40)
Processing
(36)
Learning Types Β· Machine Learning
(27)
Learning Types Β· Deep Learning
(26)
Models
(19)
Application Areas
(14)
Artificial Intelligence
(12)
Core AI Β· Artificial Intelligence
(10)
Optimization & Theory
(9)
Core Methods
(8)
Analysis
(7)
Architectures
(7)
Core AI Β· Computer Vision
(5)
Keywords
image restoration
(23)
diffusion model
(7)
domain adaptation
(6)
self-supervised learning
(6)
low-light image enhancement
(6)
contrastive learning
(5)
generative model
(5)
rain removal
(5)
image compression
(4)
image deraining
(4)
video deraining
(4)
backdoor attack
(4)
shadow removal
(3)
rain streak removal
(3)
rate-distortion optimization
(3)
zero-shot learning
(3)
knowledge distillation
(3)
multimodal learning
(3)
recurrent neural network
(3)
adversarial attack
(3)
Papers
Event-Guided Super-Resolving Blurry Image via Asymmetric Integral Driven Consistency
AAAI 2026
Towards Generalized Representations for Low-Light Understanding: When Signal Constancy Meets Semantic Enrichment
CVPR 2026
Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts
ICCV 2025
AFUNet: Cross-Iterative Alignment-Fusion Synergy for HDR Reconstruction via Deep Unfolding Paradigm
ICCV 2025
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger
AAAI 2025
Cross-Granularity Online Optimization with Masked Compensated Information for Learned Image Compression
ICCV 2025
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors
AAAI 2025
Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures
ICLR 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
ICML 2025
PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining
ICCV 2025
Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models
ICML 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision
AAAI 2025
UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration
AAAI 2025
Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression
ICLR 2025
A Unified Image Compression Method for Human Perception and Multiple Vision Tasks
ECCV 2024
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
ICML 2024
ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field
AAAI 2024
ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model
NeurIPS 2024
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
ICML 2024
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor
NeurIPS 2024
DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity
AAAI 2024
E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation
ECCV 2024
Graph Contrastive Learning under Heterophily via Graph Filters
UAI 2024
Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding
AAAI 2024
Misalignment-Robust Frequency Distribution Loss for Image Transformation
CVPR 2024
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency
AAAI 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
ICML 2024
Region-Adaptive Transform with Segmentation Prior for Image Compression
ECCV 2024
Seeing Dark Videos via Self-Learned Bottleneck Neural Representation
AAAI 2024
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
CVPR 2024
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
ICLR 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
NeurIPS 2024
Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement
ECCV 2024
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
CVPR 2023
Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal
ICCV 2023
Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization
AAAI 2023
Dual Prompt Learning for Continual Rain Removal from Single Images
IJCAI 2023
Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
AAAI 2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
ICCV 2023
Raw Image Reconstruction With Learned Compact Metadata
CVPR 2023
Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks
NeurIPS 2023
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
CVPR 2023
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation
ICCV 2023
Low-Light Image Enhancement with Normalizing Flow
AAAI 2022
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
CVPR 2022
Neural Data-Dependent Transform for Learned Image Compression
CVPR 2022
Semantically Contrastive Learning for Low-Light Image Enhancement
AAAI 2022
Semantic Compression Embedding for Generative Zero-Shot Learning
IJCAI 2022
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond
CVPR 2022
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression
ECCV 2022
URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement
CVPR 2022
HLA-Face: Joint High-Low Adaptation for Low Light Face Detection
CVPR 2021
Self-Aligned Video Deraining With Transmission-Depth Consistency
CVPR 2021
Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression
AAAI 2020
From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement
CVPR 2020
Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence
CVPR 2020
Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning
AAAI 2020
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow
CVPR 2019
Attentive Generative Adversarial Network for Raindrop Removal From a Single Image
CVPR 2018
Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos
CVPR 2018
Deep Joint Rain Detection and Removal From a Single Image
CVPR 2017