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Liu, Shih-Chii

  1. Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
    2016/10/29 by Daniel Neil, Michael Pfeiffer, Neil, Daniel +3 · 14 citations
    Computer Science · #Time Series Analysis and Forecasting #Neural Networks and Reservoir Computing #Neural Networks and Applications
  2. DDD17: End-To-End DAVIS Driving Dataset
    2017/11/04 by Jonathan Binas, Binas, Jonathan, Daniel Neil +5 · 8 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences
  3. DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
    2020/05/18 by Yuhuang Hu, Hu, Yuhuang, Jonathan Binas +7 · 9 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences
  4. FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing
    2019/09/29 by Yi Luo, Luo, Yi, Enea Ceolini +7 · 10 citations
    Computer Science · Engineering · #Speech and Audio Processing #Music and Audio Processing #Advanced Adaptive Filtering Techniques
  5. NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
    2023/04/10 by Jason Yik, Yik, Jason, Korneel Van den Berghe +208 · 1 voice · 7 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing #cs.AI
  6. Thermodynamic Computing
    2019/11/05 by Conte, Tom, Erik P. DeBenedictis, DeBenedictis, Erik +73 · 3 citations
    Engineering · Materials Science · Physics and Astronomy · #Advanced Memory and Neural Computing #Advanced Thermodynamics and Statistical Mechanics #Computers and Society (cs.CY) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Machine Learning in Materials Science
  7. v2e: From Video Frames to Realistic DVS Events
    2020/06/13 by Yuhuang Hu, Shih‐Chii Liu, Hu, Yuhuang +3 · 3 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences
  8. A Curriculum Learning Method for Improved Noise Robustness in Automatic Speech Recognition
    2016/06/22 by Braun, Stefan, Neil, Daniel, Liu, Shih-Chii · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sound (cs.SD)
  9. Overcoming the vanishing gradient problem in plain recurrent networks
    2018/01/18 by Hu, Yuhuang, Huber, Adrian, Anumula, Jithendar +1 · 2 citations
    #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  10. Exploiting Spatial Sparsity for Event Cameras with Visual Transformers
    2022/02/10 by Wang, Zuowen, Hu, Yuhuang, Liu, Shih-Chii · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  11. Event-Based Eye Tracking. AIS 2024 Challenge Survey
    2024/04/17 by Wang, Zuowen, Gao, Chang, Wu, Zongwei +36 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  12. Delta Networks for Optimized Recurrent Network Computation
    2016/12/16 by Neil, Daniel, Lee, Jun Haeng, Delbruck, Tobi +1 · 1 citation
    #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  13. Recurrent Neural Networks With Limited Numerical Precision
    2016/08/24 by J. C. Ott, Zhouhan Lin, Ott, Joachim +7 · 1 citation
    Computer Science · #62M45 #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Time Series Analysis and Forecasting
  14. Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
    2023/12/14 by Chen, Xi, Gao, Chang, Wang, Zuowen +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  15. Modulating State Space Model with SlowFast Framework for Compute-Efficient Ultra Low-Latency Speech Enhancement
    2024/11/04 by Cheng, Longbiao, Pandey, Ashutosh, Xu, Buye +3 · 2 citations
    #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
  16. Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input
    2024/06/05 by J. C. Ott, Ott, Joachim, Zuowen Wang +3 · 1 citation
    Decision Sciences · #Scientific Computing and Data Management #Data Quality and Management