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Conference and Workshop Papers
- 2024
[c6]Suncheng Xiang, Cang Liu, Jiacheng Ruan, Shilun Cai, Sijia Du, Dahong Qian:
VT-ReID: Learning Discriminative Visual-Text Representation for Polyp Re-Identification. ICASSP 2024: 3170-3174- [c5]Sijia Du, Qingwei Zhang, Zhengjie Zhang, Crystal Cai, Xiaobo Li, Dahong Qian:
Polyp Size Estimation by Generalizing Metric Depth Estimation And Monocular 3D Reconstruction. ISBI 2024: 1-5 - [c4]Zhengjie Zhang, Crystal Cai, Sijia Du, Suncheng Xiang, Dahong Qian:
Enhancing Nasopharyngeal Carcinoma Classification Based on Multi-View Cross-Modal Knowledge Distillation. ISBI 2024: 1-5 - 2023
- [c3]Vinitra Swamy
, Sijia Du, Mirko Marras, Tanja Käser:
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. LAK 2023: 345-356 - 2022
- [c2]Weiwei Kong, Sijia Du:
Design and Implementation of Intelligent Senior Care Service Cloud Platform System in the Context of Big Data. CSSE 2022: 370-377 - [c1]Sijia Du, Jia Yan:
A Study on the Demand and the Influencing Factors of Smart Healthcare Services for the Elderly in Harbin: Based on The Anderson Health Behaviour Model. ISAIMS 2022: 573-578
Informal and Other Publications
- 2024
- [i5]Sijia Du, Chengfeng Zhou, Suncheng Xiang, Jianwei Xu, Dahong Qian:
Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network. CoRR abs/2409.15006 (2024) - 2023
- [i4]Suncheng Xiang, Cang Liu, Sijia Du, Dahong Qian:
Learning Discriminative Visual-Text Representation for Polyp Re-Identification. CoRR abs/2307.10625 (2023) - [i3]Suncheng Xiang, Qingzhong Chen, Shilun Cai, Chengfeng Zhou, Crystal Cai, Sijia Du, Dahong Qian:
Towards Discriminative Representation with Meta-learning for Colonoscopic Polyp Re-Identification. CoRR abs/2308.00929 (2023) - 2022
- [i2]Suncheng Xiang, Hao Chen, Jingsheng Gao, Sijia Du, Jiawang Mou, Ting Liu, Dahong Qian, Yuzhuo Fu:
Deep Multimodal Fusion for Generalizable Person Re-identification. CoRR abs/2211.00933 (2022) - [i1]Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser:
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. CoRR abs/2212.08955 (2022)
Coauthor Index
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