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Jaydeep De
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2020 – today
- 2023
- [c4]Maxime Istasse, Vladimir Somers, Pratheeban Elancheliyan, Jaydeep De, Davide Zambrano:
DeepSportradar-v2: A Multi-Sport Computer Vision Dataset for Sport Understandings. MMSports@MM 2023: 23-29
2010 – 2019
- 2018
- [j3]Jaydeep De, Xiaowei Zhang, Feng Lin, Li Cheng:
Transduction on Directed Graphs via Absorbing Random Walks. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1770-1784 (2018) - 2016
- [b1]Jaydeep De:
Graph-based tracing of filamentary structured objects with applications in neuronal and retinal images. Nanyang Technological University, Singapore, 2016 - [j2]Jaydeep De, Li Cheng, Xiaowei Zhang, Feng Lin, Huiqi Li, Kok Haur Ong, Weimiao Yu, Yuanhong Yu, Sohail Ahmed:
A Graph-Theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images. IEEE Trans. Medical Imaging 35(1): 257-272 (2016) - [c3]Tianchi Liu, Yue Li, Zuo Bai, Jaydeep De, Cao Vinh Le, Zhiping Lin, Shih-Hsiang Lin, Guang-Bin Huang, Dongshun Cui:
Two-stage structured learning approach for stable occupancy detection. IJCNN 2016: 2306-2312 - 2014
- [j1]Jaydeep De, Huiqi Li, Li Cheng:
Tracing retinal vessel trees by transductive inference. BMC Bioinform. 15: 20 (2014) - [c2]Li Cheng, Jaydeep De, Xiaowei Zhang, Feng Lin, Huiqi Li:
Tracing Retinal Blood Vessels by Matrix-Forest Theorem of Directed Graphs. MICCAI (1) 2014: 626-633 - 2013
- [c1]Jaydeep De, Tengfei Ma, Huiqi Li, Manoranjan Dash, Cheng Li:
Automated Tracing of Retinal Blood Vessels Using Graphical Models. SCIA 2013: 277-289
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