← Authors

Junjun Jiang

50 papers · 2016–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (79) πŸƒ Academic Marathon (9) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (31) πŸ”¬ Deep Specialist (16) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (209) ⚑ Prolific Year (10) πŸ’Ž Century Club (48) πŸ”₯ Unstoppable (10)

Conferences

AAAI (12) CVPR (12) IJCAI (7) ICCV (6) ECCV (4) ICLR (3) ICML (3) NIPS (2) JMLR (1)

Top co-authors

Xianming Liu (33) Kui Jiang (18) Xiangyang Ji (15) Jiayi Ma (12) Xiong Zhou (12) Deming Zhai (10) Gang Wu (5) Zhongyuan Wang (4) Jialiang Wang (4) Peng Yi (4)

Research topics

Techniques (1)

Keywords

image restoration (7) image deraining (5) label noise (4) loss function (4) mutual learning (4) convolutional neural network (4) deep neural network (4) video super-resolution (3) knowledge distillation (3) image fusion (3) 3d vision (3) self-supervised learning (3) noisy label (3) semantic segmentation (2) feature representation (2) image classification (2) contrastive learning (2) conditional generation (2) unsupervised learning (2) multi-task learning (2)

Papers

Variation-Bounded Loss for Noise-Tolerant Learning AAAI 2026
Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining AAAI 2026
DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds CVPR 2025
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning CVPR 2025
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting CVPR 2025
Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior ICCV 2025
Always Clear Depth: Robust Monocular Depth Estimation Under Adverse Weather IJCAI 2025
CALLIC: Content Adaptive Learning for Lossless Image Compression AAAI 2025
Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025
Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion ICCV 2025
Spatial Annealing for Efficient Few-shot Neural Rendering AAAI 2025
Joint Asymmetric Loss for Learning with Noisy Labels ICCV 2025
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NIPS 2024
AFBench: A Large-scale Benchmark for Airfoil Design NIPS 2024
Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation AAAI 2024
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration AAAI 2024
FMRNet: Image Deraining via Frequency Mutual Revision AAAI 2024
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning CVPR 2024
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition CVPR 2024
Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training ECCV 2024
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs ICLR 2024
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data ICLR 2024
Spatial-Frequency Mutual Learning for Face Super-Resolution CVPR 2023
On the Dynamics Under the Unhinged Loss and Beyond JMLR 2023
Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation ICML 2023
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation CVPR 2022
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning CVPR 2022
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training ECCV 2022
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion ECCV 2022
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising AAAI 2022
Learning Towards The Largest Margins ICLR 2022
Towards End-to-End Image Compression and Analysis with Transformers AAAI 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations ICML 2022
DANet: Image Deraining via Dynamic Association Learning IJCAI 2022
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations AAAI 2022
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon CVPR 2022
Asymmetric Loss Functions for Learning with Noisy Labels ICML 2021
Omniscient Video Super-Resolution ICCV 2021
Learning With Noisy Labels via Sparse Regularization ICCV 2021
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging CVPR 2021
FusionDN: A Unified Densely Connected Network for Image Fusion AAAI 2020
Multi-Scale Progressive Fusion Network for Single Image Deraining CVPR 2020
Geometric Estimation via Robust Subspace Recovery ECCV 2020
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators IJCAI 2019
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations ICCV 2019
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination IJCAI 2018
Locality Preserving Matching IJCAI 2017
Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface IJCAI 2016
3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector IJCAI 2016