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Resume (English only)
Academic Achievements
Published multiple papers in top-tier venues including NeurIPS, CVPR, ICRA, BMVC, ACCV, IJCNN, MICCAI, IEEE Transactions on Smart Grid, and IEEE Transactions on Medical Imaging.
2025: 'A2VIS: Amodal-aware Approach to Video Instance Segmentation' in Image and Vision Computing Journal.
2025: 'S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling' in IEEE Transactions on Smart Grid.
2024: 'HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model' at NeurIPS.
2024: 'Amodal Instance Segmentation with Diffusion Shape Prior Estimation' at ACCV.
2024: 'Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation' at ICRA.
2022: 'AISFormer: Amodal Instance Segmentation with Transformer' at BMVC.
2022: 'Light-weight deformable registration using adversarial learning with distilling knowledge' in IEEE Transactions on Medical Imaging (equal contribution).
2022: 'SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data' at IEEE ISBI (Oral Presentation).
Developed and open-sourced the amodal instance segmentation toolbox aistron (2023).
Reviewer for CVPR, ACCV, MICCAI, IJCNN, ICPR.
Teaching assistant for 'Algorithms (CSCE 4133)' and 'Introduction to Artificial Intelligence (CSCE 4613)'.