Hongqiu Wang
11 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (13) π Conference Polyglot Β· Bronze π€ Dynamic Duo (10) β‘ Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
knowledge distillation
(2)
domain adaptation
(2)
image segmentation
(2)
semi-supervised learning
(1)
object detection
(1)
optimal transport
(1)
self-supervised learning
(1)
gaussian splatting
(1)
instance segmentation
(1)
medical image segmentation
(1)
universal segmentation
(1)
semantic alignment
(1)
image inpainting
(1)
vision-language model
(1)
multimodal large language model
(1)
vision foundation model
(1)
pseudo label
(1)
physics simulation
(1)
3d scene reconstruction
(1)
image matting
(1)
Papers
S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision
AAAI 2026
SynerDetect: Hierarchical Synergistic Learning for Generalizable AI-Generated Image Detection
AAAI 2026
Toward Real-World High-Precision Image Matting and Segmentation
AAAI 2026
Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine
CVPR 2025
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
MICCAI 2025
PhysSplat: Efficient Physics Simulation for 3D Scenes via MLLM-Guided Gaussian Splatting
ICCV 2025
Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation
MICCAI 2025
Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery
MICCAI 2025
Toward Fair and Accurate Cross-Domain Medical Image Segmentation: A VLM-Driven Active Domain Adaptation Paradigm
ICCV 2025
Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method
MICCAI 2025
Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset
MICCAI 2024