Luping Zhou
44 papers · 2013–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π Interdisciplinary Bridge π Renaissance Researcher (6) π Academic Marathon (12) π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (59)
π
Academic Marathon
(12)
πΊοΈ
Taxonomy Completionist
(59)
π
Renaissance Researcher
(6)
π¬
Deep Specialist
(10)
π€
Dynamic Duo
(22)
π
Keyword Champion
(2)
π₯
Unstoppable
(9)
β‘
Prolific Year
(9)
π
Century Club
(42)
ποΈ
Keyword Collector
(162)
π
Conference Pioneer
π
Trend Setter
Conferences
CVPR (14)
ICCV (8)
AAAI (7)
MICCAI (7)
ECCV (5)
NIPS (2)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
semi-supervised learning
(8)
data augmentation
(4)
medical imaging
(4)
image classification
(3)
semantic segmentation
(3)
adversarial learning
(2)
metric learning
(2)
image captioning
(2)
contrastive loss
(2)
diffusion model
(2)
radiology report generation
(2)
feature representation
(2)
noisy label learning
(2)
sparse inverse covariance
(2)
convex optimization
(1)
entropy minimization
(1)
image generation
(1)
action recognition
(1)
few-shot learning
(1)
brain connectivity
(1)
Papers
ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
AAAI 2026
EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion
AAAI 2026
MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
MICCAI 2025
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances
AAAI 2025
WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference
MICCAI 2025
HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction
MICCAI 2025
InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
ICCV 2025
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
CVPR 2025
SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
MICCAI 2025
Noise-Aware Image Captioning with Progressively Exploring Mismatched Words
AAAI 2024
MRScore: Evaluating Medical Report with LLM-based Reward System
MICCAI 2024
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds
ECCV 2024
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
ECCV 2024
KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models
MICCAI 2024
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
MICCAI 2024
Towards Speech Classification from Acoustic and Vocal Tract data in Real-time MRI
INTERSPEECH 2024
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
AAAI 2024
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
AAAI 2024
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models
ICCV 2023
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
CVPR 2023
Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation
CVPR 2023
METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens
CVPR 2023
Neural Vector Fields: Implicit Representation by Explicit Learning
CVPR 2023
Learning Partial Correlation Based Deep Visual Representation for Image Classification
CVPR 2023
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
CVPR 2023
Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval
ICCV 2023
Towards Semi-supervised Learning with Non-random Missing Labels
ICCV 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
ICCV 2023
LaSSL: Label-Guided Self-Training for Semi-supervised Learning
AAAI 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning
ECCV 2022
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class
NIPS 2022
DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning
CVPR 2022
A Self-Boosting Framework for Automated Radiographic Report Generation
CVPR 2021
ReDro: Efficiently Learning Large-sized SPD Visual Representation
ECCV 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing
NIPS 2020
Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images
ICCV 2019
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification
ICCV 2019
Improving Action Localization by Progressive Cross-Stream Cooperation
CVPR 2019
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition
ECCV 2018
Revisiting Metric Learning for SPD Matrix Based Visual Representation
CVPR 2017
Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices
ICCV 2015
Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification
CVPR 2014
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network
CVPR 2013
A Fast Approximate AIB Algorithm for Distributional Word Clustering
CVPR 2013