User profiles for Chia-Ming Tsai
Chia-Ming TsaiMediaTek, Inc. Verified email at cs.ccu.edu.tw Cited by 858 |
A video saliency detection model in compressed domain
Saliency detection is widely used to extract regions of interest in images for various image
processing applications. Recently, many saliency detection models have been proposed for …
processing applications. Recently, many saliency detection models have been proposed for …
Mitigating asymmetric nonlinear weight update effects in hardware neural network based on analog resistive synapse
Asymmetric nonlinear weight update is considered as one of the major obstacles for realizing
hardware neural networks based on analog resistive synapses, because it significantly …
hardware neural networks based on analog resistive synapses, because it significantly …
Scene-based movie summarization via role-community networks
Video summarization techniques aim at condensing a full-length video to a significantly
shortened version that still preserves the major semantic content of the original video. Movie …
shortened version that still preserves the major semantic content of the original video. Movie …
A VVC proposal with quaternary tree plus binary-ternary tree coding block structure and advanced coding techniques
…, CC Chen, MS Chiang, CY Lai, CM Tsai… - … on Circuits and …, 2019 - ieeexplore.ieee.org
This paper describes a video coding technology proposal submitted by MediaTek in April
2018 in response to a joint call for proposals (CfP) issued by ITU-T VCEG and ISO/IEC MPEG. …
2018 in response to a joint call for proposals (CfP) issued by ITU-T VCEG and ISO/IEC MPEG. …
Multi-sensor fault diagnosis of underwater thruster propeller based on deep learning
With the rapid development of unmanned surfaces and underwater vehicles, fault diagnoses
for underwater thrusters are important to prevent sudden damage, which can cause huge …
for underwater thrusters are important to prevent sudden damage, which can cause huge …
Photon-detection-probability simulation method for CMOS single-photon avalanche diodes
CA Hsieh, CM Tsai, BY Tsui, BJ Hsiao, SD Lin - Sensors, 2020 - mdpi.com
Single-photon avalanche diodes (SPADs) in complementary metal-oxide-semiconductor (CMOS)
technology have excellent timing resolution and are capable to detect single photons. …
technology have excellent timing resolution and are capable to detect single photons. …
Anti-interference single-photon LiDAR using stochastic pulse position modulation
CM Tsai, YC Liu - Optics Letters, 2020 - opg.optica.org
This Letter introduces an anti-interference single-photon light detection and ranging (LiDAR)
system with photon-driven stochastic pulse position modulation. A photon arrival sequence …
system with photon-driven stochastic pulse position modulation. A photon arrival sequence …
Multisensor fusion time–frequency analysis of thruster blade fault diagnosis based on deep learning
CM Tsai, CS Wang, YJ Chung, YD Sun… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
With the rapid development of marine robots, detecting abnormalities in propulsion systems
is important during sailing as the unperceived damage of thrusters and propellers can cause …
is important during sailing as the unperceived damage of thrusters and propellers can cause …
Single-photon avalanche diodes in 0.18-μm high-voltage CMOS technology
LD Huang, JY Wu, JP Wang, CM Tsai, YH Huang… - Optics express, 2017 - opg.optica.org
We have designed and fabricated high-performance single-photon avalanche diodes (SPADs)
by using 0.18-µm high-voltage CMOS technology. Without any technology customization, …
by using 0.18-µm high-voltage CMOS technology. Without any technology customization, …
Challenges and opportunities toward online training acceleration using RRAM-based hardware neural network
…, MH Wu, B Hudec, CC Chang, CM Tsai… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
This paper highlights the feasible routes of using resistive memory (RRAM) for accelerating
online training of deep neural networks (DNNs). A high degree of asymmetric nonlinearity in …
online training of deep neural networks (DNNs). A high degree of asymmetric nonlinearity in …