Qi Dou
52 papers · 2018–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Conference Polyglot (13) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
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Cross-Pollinator
(12)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(67)
π₯
Mega-Team
(125)
π
Grand Slam
π
Keyword Champion
π
Conference Pioneer
π
Century Club
(49)
β
The Questioner
ποΈ
Keyword Collector
(143)
π₯
Unstoppable
(8)
β‘
Prolific Year
(12)
Conferences
MICCAI (13)
CVPR (9)
AAAI (5)
ECCV (4)
ICLR (4)
NIPS (4)
ICCV (3)
EMNLP (2)
MIDL (2)
WACV (2)
ACL (1)
ICML (1)
IJCAI (1)
RSS (1)
Top co-authors
Keywords
domain adaptation
(6)
medical image segmentation
(4)
federated learning
(4)
domain generalization
(3)
neural network
(3)
adversarial learning
(3)
transfer learning
(3)
medical imaging
(3)
object detection
(2)
large language model
(2)
semantic segmentation
(2)
object pose estimation
(2)
test-time adaptation
(2)
unsupervised domain adaptation
(2)
category-level recognition
(2)
multi-task learning
(1)
semi-supervised learning
(1)
contrastive learning
(1)
metric learning
(1)
image classification
(1)
Papers
Temporal Memory Enhancement for Semantic Segmentation in Surgical Video
MIDL 2026
Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations
AAAI 2026
A Simple yet Effective Adaptive Inter-organ Contrastive Learning Framework for Unsupervised Domain Adaptation
MIDL 2026
Test-Time Retrieval-Augmented Adaptation for Vision-Language Models
ICCV 2025
HealthCards: Exploring Text-to-Image Generation as Visual Aids for Healthcare Knowledge Democratizing and Education
EMNLP 2025
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
EMNLP 2025
DDxTutor: Clinical Reasoning Tutoring System with Differential Diagnosis-Based Structured Reasoning
ACL 2025
Surgical Action Planning with Large Language Models
MICCAI 2025
Medical Large Vision Language Models with Multi-Image Visual Ability
MICCAI 2025
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video
MICCAI 2025
CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning
MICCAI 2025
ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data
MICCAI 2025
Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
ICML 2025
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation
CVPR 2025
Boosting the visual interpretability of CLIP via adversarial fine-tuning
ICLR 2025
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models
ECCV 2024
Vision Foundation Model Enables Generalizable Object Pose Estimation
NIPS 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
NIPS 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
NIPS 2024
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning
AAAI 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
CVPR 2024
Ensemble Diversity Facilitates Adversarial Transferability
CVPR 2024
Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments
ECCV 2024
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate
ICLR 2024
Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting
MICCAI 2024
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting
MICCAI 2024
Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling
MICCAI 2024
Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning
MICCAI 2024
Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
MICCAI 2024
Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection
MICCAI 2024
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration
MICCAI 2024
Weakly-supervised Medical Image Segmentation with Gaze Annotations
MICCAI 2024
Any-point Trajectory Modeling for Policy Learning
RSS 2024
Efficient Transferability Assessment for Selection of Pre-Trained Detectors
WACV 2024
Video Dehazing via a Multi-Range Temporal Alignment Network With Physical Prior
CVPR 2023
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer
WACV 2023
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation
ICCV 2023
Why Is the Winner the Best?
CVPR 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation
CVPR 2023
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
AAAI 2022
Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients
ICLR 2022
Tackling Long-Tailed Category Distribution under Domain Shifts
ECCV 2022
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary
AAAI 2022
Transformer-Empowered Multi-Scale Contextual Matching and Aggregation for Multi-Contrast MRI Super-Resolution
CVPR 2022
Sim-to-Real 6D Object Pose Estimation via Iterative Self-Training for Robotic Bin Picking
ECCV 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
ICLR 2021
SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation
ICCV 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
CVPR 2021
Harmonizing Transferability and Discriminability for Adapting Object Detectors
CVPR 2020
Domain Generalization via Model-Agnostic Learning of Semantic Features
NIPS 2019
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
AAAI 2019
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
IJCAI 2018