An Wang
Orcid: 0000-0001-5515-0653Affiliations:
- Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong, China
According to our database1,
An Wang
authored at least 21 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery.
Inf. Fusion, 2025
2024
Spatial-Wise Dynamic Distillation for MLP-Like Efficient Visual Fault Detection of Freight Trains.
IEEE Trans. Ind. Electron., October, 2024
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation.
IEEE Trans Autom. Sci. Eng., July, 2024
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation.
CoRR, 2024
CoRR, 2024
An Efficient MLP-based Point-guided Segmentation Network for Ore Images with Ambiguous Boundary.
CoRR, 2024
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
CoRR, 2024
Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2024
EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Semi-supervised Learning for Segmentation of Bleeding Regions in Video Capsule Endoscopy.
CoRR, 2023
CoRR, 2023
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.
CoRR, 2023
S<sup>2</sup>ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Rectifying Noisy Labels with Sequential Prior: Multi-scale Temporal Feature Affinity Learning for Robust Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis.
IROS, 2023
2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022