Junjun Jiang
50 papers · 2016–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(9)
🏆
Keyword Champion
(2)
🤝
Dynamic Duo
(31)
🔬
Deep Specialist
(16)
🏆
Grand Slam
🗃️
Keyword Collector
(209)
⚡
Prolific Year
(10)
💎
Century Club
(48)
🔥
Unstoppable
(10)
Conferences
AAAI (12)
CVPR (12)
IJCAI (7)
ICCV (6)
ECCV (4)
ICLR (3)
ICML (3)
NIPS (2)
JMLR (1)
Top co-authors
Research topics
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