Wenhan Yang

Event-Guided Super-Resolving Blurry Image via Asymmetric Integral Driven Consistency AAAI 2026 Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors AAAI 2025 Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 2025 MTL-UE: Learning to Learn Nothing for Multi-Task Learning ICML 2025 Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models ICML 2025 UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration AAAI 2025 Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision AAAI 2025 Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger AAAI 2025 Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures ICLR 2025 Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression ICLR 2025 AFUNet: Cross-Iterative Alignment-Fusion Synergy for HDR Reconstruction via Deep Unfolding Paradigm ICCV 2025 Cross-Granularity Online Optimization with Masked Compensated Information for Learned Image Compression ICCV 2025 PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining ICCV 2025 Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts ICCV 2025 ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field AAAI 2024 Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution ICLR 2024 Graph Contrastive Learning under Heterophily via Graph Filters UAI 2024 E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation ECCV 2024 A Unified Image Compression Method for Human Perception and Multiple Vision Tasks ECCV 2024 Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders ICML 2024 Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks ICML 2024 Misalignment-Robust Frequency Distribution Loss for Image Transformation CVPR 2024 Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder ICML 2024 Region-Adaptive Transform with Segmentation Prior for Image Compression ECCV 2024 Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement ECCV 2024 Transferable Adversarial Attacks on SAM and Its Downstream Models NIPS 2024 SinSR: Diffusion-Based Image Super-Resolution in a Single Step CVPR 2024 ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model NIPS 2024 DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor NIPS 2024 Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding AAAI 2024 Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency AAAI 2024 Seeing Dark Videos via Self-Learned Bottleneck Neural Representation AAAI 2024 DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity AAAI 2024 Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks NIPS 2023 Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization AAAI 2023 Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning AAAI 2023 Raw Image Reconstruction With Learned Compact Metadata CVPR 2023 Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger CVPR 2023 ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal CVPR 2023 ExposureDiffusion: Learning to Expose for Low-light Image Enhancement ICCV 2023 Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal ICCV 2023 Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation ICCV 2023 Dual Prompt Learning for Continual Rain Removal from Single Images IJCAI 2023 MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning CVPR 2022 Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression ECCV 2022 Low-Light Image Enhancement with Normalizing Flow AAAI 2022 Semantically Contrastive Learning for Low-Light Image Enhancement AAAI 2022 Semantic Compression Embedding for Generative Zero-Shot Learning IJCAI 2022 URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement CVPR 2022 Neural Data-Dependent Transform for Learned Image Compression CVPR 2022 Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond CVPR 2022 Self-Aligned Video Deraining With Transmission-Depth Consistency CVPR 2021 HLA-Face: Joint High-Low Adaptation for Low Light Face Detection CVPR 2021 Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression AAAI 2020 Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning AAAI 2020 Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence CVPR 2020 From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement CVPR 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