DL talk by prof. Chih-Cheng Hsieh
Title: Processing-in-Sensor: Circuit Techniques for Intelligent and Energy-Efficient Vision
Date and time: 27 October, 10:30 AM
Location: TU Delft EWI Elektron HB01.230
Date and time: 27 October, 10:30 AM
Location: TU Delft EWI Elektron HB01.230
Abstract
Processing-in-Sensor (PIS) integrates feature extraction and early processing directly within image sensors to reduce data bandwidth, power consumption, and latency. This lecture surveys PIS architectures from in-pixel to in-column and near-sensor processing, and discusses spatial- and temporal-domain feature extraction from a circuit design perspective. The talk highlights how mixed-signal in-sensor computing enables always-on and energy-efficient intelligent vision systems.
Processing-in-Sensor (PIS) integrates feature extraction and early processing directly within image sensors to reduce data bandwidth, power consumption, and latency. This lecture surveys PIS architectures from in-pixel to in-column and near-sensor processing, and discusses spatial- and temporal-domain feature extraction from a circuit design perspective. The talk highlights how mixed-signal in-sensor computing enables always-on and energy-efficient intelligent vision systems.
About the speaker
Chih-Cheng Hsieh received his B.S., M.S., and Ph.D. degrees from National Chiao Tung University, Taiwan. He is currently a Full Professor at National Tsing Hua University. His research interests include intelligent CMOS image sensors, processing-in-sensor architectures, and energy-efficient data converters. He has served on the ISSCC and A-SSCC Technical Program Committees and is an IEEE SSCS Distinguished Lecturer.
Chih-Cheng Hsieh received his B.S., M.S., and Ph.D. degrees from National Chiao Tung University, Taiwan. He is currently a Full Professor at National Tsing Hua University. His research interests include intelligent CMOS image sensors, processing-in-sensor architectures, and energy-efficient data converters. He has served on the ISSCC and A-SSCC Technical Program Committees and is an IEEE SSCS Distinguished Lecturer.
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