Liu, Shih-Chii

23 publications

NeurIPS 2024 DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations Zuowen Wang, Longbiao Cheng, Pehuen Moure, Niklas Hahn, Shih-Chii Liu

CVPRW 2024 Event-Based Eye Tracking. AIS 2024 Challenge Survey Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai

AAAI 2024 Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck

CVPR 2024 Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning Pehuen Moure, Longbiao Cheng, Joachim Ott, Zuowen Wang, Shih-Chii Liu

NeurIPSW 2023 Bio-Inspired Parameter Reuse: Exploiting Inter-Frame Representation Similarity with Recurrence for Accelerating Temporal Visual Processing Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu

NeurIPSW 2023 Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck

NeurIPSW 2022 Fast Temporal Decoding from Large-Scale Neural Recordings in Monkey Visual Cortex Jerome Hadorn, Zuowen Wang, Bodo Rueckauer, Xing Chen, Pieter R. Roelfsema, Shih-Chii Liu

ICCVW 2021 LiteEdge: Lightweight Semantic Edge Detection Network Hao Wang, Hasan Mohamed, Zuowen Wang, Bodo Rueckauer, Shih-Chii Liu

CVPRW 2021 V2e: From Video Frames to Realistic DVS Events Yuhuang Hu, Shih-Chii Liu, Tobi Delbruck

ECCV 2020 Learning to Exploit Multiple Vision Modalities by Using Grafted Networks Yuhuang Hu, Tobi Delbruck, Shih-Chii Liu

ICML 2017 Delta Networks for Optimized Recurrent Network Computation Daniel Neil, Jun Haeng Lee, Tobi Delbruck, Shih-Chii Liu

NeurIPS 2016 Phased LSTM: Accelerating Recurrent Network Training for Long or Event-Based Sequences Daniel Neil, Michael Pfeiffer, Shih-Chii Liu

NeurIPS 2006 Attentional Processing on a Spike-Based VLSI Neural Network Yingxue Wang, Rodney J. Douglas, Shih-Chii Liu

NeurIPS 2005 Spiking Inputs to a Winner-Take-All Network Matthias Oster, Shih-Chii Liu

NeCo 2003 Modeling Short-Term Synaptic Depression in Silicon Malte Boegershausen, Pascal Suter, Shih-Chii Liu

NeurIPS 2002 Circuit Model of Short-Term Synaptic Dynamics Shih-Chii Liu, Malte Boegershausen, Pascal Suter

NeurIPS 2001 Orientation-Selective aVLSI Spiking Neurons Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri, Tobi Delbrück, Rodney J. Douglas

NeurIPS 2000 Homeostasis in a Silicon Integrate and Fire Neuron Shih-Chii Liu, Bradley A. Minch

NeurIPS 1999 A Winner-Take-All Circuit with Controllable Soft Max Property Shih-Chii Liu

NeurIPS 1997 Silicon Retina with Adaptive Filtering Properties Shih-Chii Liu

NeurIPS 1995 Adaptive Retina with Center-Surround Receptive Field Shih-Chii Liu, Kwabena Boahen

NeurIPS 1992 Object-Based Analog VLSI Vision Circuits Christof Koch, Binnal Mathur, Shih-Chii Liu, John G. Harris, Jin Luo, Massimo Sivilotti

CVPR 1989 Generalized Smoothing Networks in Early Vision Shih-Chii Liu, John G. Harris