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Nannan Wang

80 papers · 2017–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+16 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8)
🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (22) 🤝 Dynamic Duo (49) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (14) 🏆 Keyword Champion (2) 🚀 Conference Pioneer Prolific Year (7) 🗃️ Keyword Collector (325) 📈 Trend Setter The Questioner 🔥 Unstoppable (9) 💎 Century Club (77)

Conferences

AAAI (22) CVPR (13) IJCAI (13) ICCV (10) ICML (10) NIPS (7) ICLR (3) ECCV (2)

Papers

Revealing the Invisible: Latent Structure Modeling for Semantically Consistent Cloud Removal AAAI 2026 Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution AAAI 2026 Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning AAAI 2026 3D Test-time Adaptation via Graph Spectral Driven Point Shift ICCV 2025 Dual Domain Control via Active Learning for Remote Sensing Domain Incremental Object Detection ICCV 2025 Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition IJCAI 2025 DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework CVPR 2025 Q-Norm: Robust Representation Learning via Quality-Adaptive Normalization ICCV 2025 DIH-CLIP: Unleashing the Diversity of Multi-Head Self-Attention for Training-Free Open-Vocabulary Semantic Segmentation ICCV 2025 Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness ICML 2025 Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models ICML 2025 Effective Diffusion Transformer Architecture for Image Super-Resolution AAAI 2025 Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations AAAI 2025 Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model AAAI 2025 Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement AAAI 2025 Optimizing Label Assignment for Weakly Supervised Person Search AAAI 2025 QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception AAAI 2025 Asymmetric Reinforcing Against Multi-Modal Representation Bias AAAI 2025 Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning AAAI 2025 Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts ICML 2025 Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization CVPR 2025 ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning CVPR 2025 Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation CVPR 2025 Visual Prompt Tuning in Null Space for Continual Learning NIPS 2024 Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search IJCAI 2024 Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors IJCAI 2024 Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection NIPS 2024 Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline CVPR 2024 Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification NIPS 2024 SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation AAAI 2024 Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking AAAI 2024 Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model AAAI 2024 Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis AAAI 2024 Disentangled Prompt Representation for Domain Generalization CVPR 2024 Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning ICML 2024 On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection ICLR 2024 Robust Training of Federated Models with Extremely Label Deficiency ICLR 2024 Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization ECCV 2024 Phase-aware Adversarial Defense for Improving Adversarial Robustness ICML 2023 NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning NIPS 2023 Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding AAAI 2023 Boosting Weakly-Supervised Temporal Action Localization With Text Information CVPR 2023 Masked and Adaptive Transformer for Exemplar Based Image Translation CVPR 2023 NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction CVPR 2023 Hiding Visual Information via Obfuscating Adversarial Perturbations ICCV 2023 Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation ICCV 2023 All-to-Key Attention for Arbitrary Style Transfer ICCV 2023 Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration ICML 2023 Semantic-Aware Generation of Multi-View Portrait Drawings IJCAI 2023 Improving Adversarial Robustness via Mutual Information Estimation ICML 2022 Modeling Adversarial Noise for Adversarial Training ICML 2022 Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization NIPS 2022 Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation CVPR 2022 Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin CVPR 2022 Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction IJCAI 2022 Exploring Set Similarity for Dense Self-Supervised Representation Learning CVPR 2022 Support-Set Based Cross-Supervision for Video Grounding ICCV 2021 Robust early-learning: Hindering the memorization of noisy labels ICLR 2021 Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels ICML 2021 Towards Defending against Adversarial Examples via Attack-Invariant Features ICML 2021 Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer CVPR 2021 Training Binary Neural Network without Batch Normalization for Image Super-Resolution AAAI 2021 A Sketch-Transformer Network for Face Photo-Sketch Synthesis IJCAI 2021 Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification ICCV 2021 Removing Adversarial Noise in Class Activation Feature Space ICCV 2021 Facial Attribute Capsules for Noise Face Super Resolution AAAI 2020 Binarized Neural Network for Single Image Super Resolution ECCV 2020 Part-dependent Label Noise: Towards Instance-dependent Label Noise NIPS 2020 Video Face Super-Resolution with Motion-Adaptive Feedback Cell AAAI 2020 Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis AAAI 2020 HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification AAAI 2019 Are Anchor Points Really Indispensable in Label-Noise Learning? NIPS 2019 Residual Attribute Attention Network for Face Image Super-Resolution AAAI 2019 Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition IJCAI 2019 Face Photo-Sketch Synthesis via Knowledge Transfer IJCAI 2019 Group Reconstruction and Max-Pooling Residual Capsule Network IJCAI 2019 Deep Attribute Guided Representation for Heterogeneous Face Recognition IJCAI 2018 Markov Random Neural Fields for Face Sketch Synthesis IJCAI 2018 From Reality to Perception: Genre-Based Neural Image Style Transfer IJCAI 2018 Deep Graphical Feature Learning for Face Sketch Synthesis IJCAI 2017