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Pao-Sheng Vincent Sun I'm a PhD Student at City University of Hong Kong under the supervision of Professor Arindam Basu. We are part of the BRAINSys Lab. My research is on Neuromorphic Computing, with a focus on Spiking Neural Network and Event Vision. Before I started working on my PhD, I've worked at Everlight Electronics and Dynasafe Technology, both based in Taiwan. |
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ResearchMy interest include computer vision, deep learning and robotics. |
 
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Memory Efficient Corner Detection for Event-Driven Dynamic Vision Sensors
Pao-Sheng Vincent Sun, Arren Glover, Chiara Bartolozzi, Arindam Basu IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 Paper bibtex Designing corner detection pipeline for Dynamic Vision Sensors (DVS) for memory efficiency. |
 
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Exploiting deep learning accelerators for neuromorphic workloads
Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D Lu, Jason K Eshraghian IOP Neuromorphic Computing and Engineering, 2024 Paper bibtex Utilising the full power of Graphcore's IPU for efficient Neuromorphic workload. |
 
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Ion-Mediated Recombination Dynamics in Perovskite-Based Memory Light-Emitting Diodes for Neuromorphic Control Systems
Natalia Yantara, Si En Ng, Divyam Sharma, Biyan Zhou, Pao-Sheng Vincent Sun, Huei Min Chua, Nur Fadilah Jamaludin, Arindam Basu, Nripan Mathews Advanced Materials, 2024 Paper bibtex Perovskite-Based Memory LED that is capable of enhancing image contrast, improving pattern recognition ability. |
 
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ANN vs SNN: A case study for Neural Decoding in Implantable Brain-Machine Interfaces
Biyan Zhou, Pao-Sheng Vincent Sun, Arindam Basu arXiv, 2023 arXiv bibtex A case study for decoding recorded neural data of two monkeys with Artificial Neural Network vs Spiking Neural Networks. |
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Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sonia Buckley, Sander Bohte, Younes Bouhadjar, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason K Eshraghian, Jeremy Forest, Steve Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddarth Joshi, Vedant Karia, Lyes Khacef, James C Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos Michmizos, Dylan Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Sun Pao-Sheng, Melika Payvand, Christian-Gernot Pehle, Mihai Alexandru Petrovici, Cristoph Posch, Yulia Sandamirskaya, Clemens Schaefer, Andre van Schaik, Johannes Schemmel, Catherine Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig Vineyard, Bernard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddy NIST, 2023 GitHub Paper bibtex White paper for Neurobench, a benchmarking tool for Neuromorphic tasks to help advance the field of Neuromorphic Computing. |
 
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Ebbinnot: a hardware-efficient hybrid event-frame tracker for stationary dynamic vision sensors
Vivek Mohan, Deepak Singla, Tarun Pulluri, Andres Ussa, Pradeep Kumar Gopalakrishnan, Pao-Sheng Sun, Bharath Ramesh, Arindam Basu IEEE Internet of Things Journal, 2022 Paper bibtex A stationary Dynamic Vision Sensor (DVS) is used for traffic monitoring with event-based feature trackers |
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