Zuowen Wang

Position:	PhD Student
Email:	zuowen@ini.uzh.ch
Work phone:

Before I joined the Sensors Group at INI in May. 2021 as a doctoral student, I received my B.Sc. (2019) and M.Sc. (2021) degrees in computer science from ETH Zurich. I am a member of the Neural active Visual Prosthetics for Restoring function (NeuraViPeR) project led by Prof. Shih-Chii Liu and will be working on the development and acceleration of visual scene parsing algorithms. My research interests lie in event-based vision processing, robust deep learning, as well as acceleration and compression of deep learning models. I enjoy learning languages and reading (non-academic) literature in different languages in my free time.

Supervisor

Shih-Chii Liu

Sub-Projects

NeuraViPeR - Neural active Visual Prosthetics for Restoring function

Publications

2024

Joachim Ott, Zuowen Wang, Shih-Chii Liu Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input, Proceedings of the 2024 Annual Neuro-Inspired Computational Elements Conference, 2024
Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training, The AAAI Conference on Artificial Intelligence (AAAI), 2024
Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen and others Event-Based Eye Tracking. AIS 2024 Challenge Survey, The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 Workshop, 2024

2023

Haiyang Mei, Zuowen Wang, Xin Yang, Xiaopeng Wei, Tobi Delbruck Deep Polarization Reconstruction with PDAVIS Events, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Hasan Mohamed, Bogdan Raducanu, Ilya Kiselev, Zuowen Wang, Burcu Kucukoglu, Bodo Rueckauer, Marcel van Gerven, Carolina Mora Lopez. Shih-Chii Liu A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis, The 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023
Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao 3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network, 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023 pdf
Tobi Delbruck, Zuowen Wang, Haiyang Mei, Germain Haessig, Damien Joubert, Justin Haque, Yingkai Chen, Moritz B. Milde, and Viktor Gruev Live Demo: E2P–Events to Polarization Reconstruction from PDAVIS Events, The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2023
Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck Exploiting symmetric temporally sparse BPTT for efficient RNN training, Advances in Neural Information Processing Systems (NeurIPS) 2023 Workshop, 2023
Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing, Advances in Neural Information Processing Systems (NeurIPS) 2023 Workshop, 2023

2022

Jerome Hadorn*, Zuowen Wang*, Bodo Rueckauer, Xing Chen, Pieter R. Roelfsema, Shih-Chii Liu Fast temporal decoding from large-scale neural recordings in monkey visual cortex, Advances in Neural Information Processing Systems 35 Workshop (NeurIPS 2022), 2022
Zuowen Wang, Shu Wang, Céline Lafaye, Mathieu Saubade, Vincent Gremeaux, Shih-Chii Liu Person identification using deep neural networks on physiological biomarkers during exercise, 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) 193-197, 2022
Zuowen Wang*, Yuhuang Hu*, Shih-Chii Liu Exploiting spatial sparsity for event cameras with visual transformers, International Conference on Image Processing (ICIP), 2022

2021

Hao Wang, Hasan Mohamed, Zuowen Wang, Bodo Rueckauer, Shih-Chii Liu LiteEdge: Lightweight Semantic Edge Detection Network, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2657-2666, 2021

2019

Fanny Yang, Zuowen Wang, Christina Heinze-Deml Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness, Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 32:, 2019

back