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4th AICAS 2022: Incheon, Republic of Korea
- 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, Incheon, Republic of Korea, June 13-15, 2022. IEEE 2022, ISBN 978-1-6654-0996-4
- Jaeho Kwak, Hyunwoo Yu
, Yubin Cho
Deep Learning-based Real-time Segmentation for Edge Computing Devices. 1 - Matteo Farronato
Low-current, highly linear synaptic memory device based on MoS2 transistors for online training and inference. 1-4 - Shinhaeng Kang, Byeongho Kim, Sukhan Lee, Kyomin Sohn:
An Architecture of Sparse Length Sum Accelerator in AxDIMM. 1-4 - Deyu Wang
Memristor-Based In-Circuit Computation for Trace-Based STDP. 1-4 - Reza Ranjandish
ANOLUF: A Feature Selection and Channel Selection Methodology for Medical Event-Detection. 1-4 - Jun-Ho Kim, Mohammed A. Al-masni
A single-stage detector of cerebral microbleeds using 3D feature fused region proposal network (FFRP-Net). 1-4 - Seona Moon, Saim Shin, San Kim, Minyoung Jung, Jin Yea Jang:
Characteristic Comparison of Korean Unstructured Dialogue Corpora by Morphological Analysis. 1-4 - Joonghyun Song, Jiwon Shin, Hanseok Kim, Woo-Seok Choi:
Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons. 5-8 - Ahish Shylendra, Priyesh Shukla
Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics. 9-12 - Paul Quibuyen, Tom Jiao, Wong Hiu Yung:
Effect of ReRAM Neuromorphic Circuit Array Variation and Fault on Inference Accuracy. 13-16 - Sohum Datta, Jan M. Rabaey:
A probability-inspired normalization for fixed-precision Hyper-Dimensional Computing. 21-24 - Qinyu Chen
Enabling Energy-Efficient Inference for Self-Attention Mechanisms in Neural Networks. 25-28 - Wantong Li
Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving. 29-32 - Lunshuai Pan, Peng Xue, Hongxing Li, Litao Sun, Mingqiang Huang:
A General-Purpose and Configurable Planar Data Processor for Energy-Efficient Pooling Computation. 33-36 - Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo:
A 0.95 mJ/frame DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation. 37-40 - Yubin Cho
Class Attention Transfer for Semantic Segmentation. 41-45 - Jheng-Yi Chang, Ching-Te Chiu, Pin-Hsuan Chen:
Lightweight and Efficient Neural Network Using Progressively Greedy Search. 46-49 - Suraj Singireddy, Rickard Ewetz, Sumit Kumar Jha
Deep Learning Toolkit-Driven Equivalence Checking of Flow-Based Computing Systems. 50-53 - Yuxiang Sun, Mouhacine Benosman, Rui Ma:
GaN Distributed RF Power Amplifer Automation Design with Deep Reinforcement Learning. 54-57 - Sudarsan Sadasivuni, Vasundhara Damodaran, Imon Banerjee
Real-time prediction of cardiovascular diseases using reservoir-computing and fusion with electronic medical record. 58-61 - Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau:
MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. 62-65 - Xiaomeng Wang, Xuejiao Liu, Xianghong Hu, Xiaopeng Zhong, Xizi Chen
TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural Network. 66-69 - Sangwoo Jung
DualPIM: A Dual-Precision and Low-Power CNN Inference Engine Using SRAM- and eDRAM-based Processing-in-Memory Arrays. 70-73 - Dongsu Kim, Yunho Jang, Taehwan Kim, Jongsun Park:
BiMDiM: Area efficient Bi-directional MRAM Digital in-Memory Computing. 74-77 - Cheng-Yang Chang, Yu-Chuan Chuang, Kuang-Chao Chou, An-Yeu Wu:
T-EAP: Trainable Energy-Aware Pruning for NVM-based Computing-in-Memory Architecture. 78-81 - Cristian Cioflan
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. 82-85 - Udari De Alwis, Massimo Alioto:
Temporal Redundancy-Based Computation Reduction for 3D Convolutional Neural Networks. 86-89 - Van Thien Nguyen
MOGNET: A Mux-residual quantized Network leveraging Online-Generated weights. 90-93 - Marco Giordano, Luigi Piccinelli, Michele Magno
Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge. 94-97 - Janghwan Lee, Jungwook Choi:
Optimizing Exponent Bias for Sub-8bit Floating-Point Inference of Fine-tuned Transformers. 98-101 - Maoyu Wei, Xiwei Huang, Wentao Han, Zekun Tian, Guohua Wu, Shuqi Wang, Lingling Sun:
Stain-free Holographic Detection of Circulating Tumor Cells Using A Deep Feature Fusion Neural Network. 102-105 - Seonghwan Jeong, YoungMin Kwon:
Energy Efficient Text Spotting Technique for Mobile Edge Computing. 106-109 - Seungsik Moon, Jaehyun Ko, Byungsub Kim, Youngjoo Lee:
A Study On Reliable High-Speed HBC Enhanced by ECC for Wearable Neural Interfaces. 110-113 - Yongje Lee, Useok Lee, H. H. Fisseha, Myung Hoon Sunwoo:
Deep Learning aided BP-Flip Decoding of Polar Codes. 114-117 - Weihan Ng, Xuan Truong Nguyen:
Improving Deep-Learning-based Optical Music Recognition for Camera-based Inputs. 118-121 - Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper:
AutoDeepHLS: Deep Neural Network High-level Synthesis using fixed-point precision. 122-125 - Johanna Hedlund Lindmar, Chang Gao
Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference. 126-129 - Seungjin Lee, Hyun Kim:
DC-MPQ: Distributional Clipping-based Mixed-Precision Quantization for Convolutional Neural Networks. 130-133 - Jiawei Liao, Lars Widmer, Xiaying Wang
An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface. 134-137 - Kefei Liu, Xiaoxin Cui, Chenglong Zou
A Full-Neuron Memory Model Designed for Neuromorphic Systems. 138-141 - Steven Colleman, Peter Zhu, Wei Sun, Marian Verhelst
Optimizing Accelerator Configurability for Mobile Transformer Networks. 142-145 - Lanqing Hui, Shan Cao, Zhiyong Chen, Shan Li, Shugong Xu:
Configurable CNN Accelerator in Speech Processing based on Vector Convolution. 146-149 - Won Jeon, Yong Cheol Peter Cho, Hyun-Mi Kim, Hyeji Kim, Jaehoon Chung, Ju-Yeob Kim, Miyoung Lee, Chun-Gi Lyuh, Jinho Han, Youngsu Kwon:
M3FPU: Multiformat Matrix Multiplication FPU Architectures for Neural Network Computations. 150-153 - Paola Vitolo
Quantized ID-CNN for a Low-power PDM-to-PCM Conversion in TinyML KWS Applications. 154-157 - Xuan Truong Nguyen, Tuan Nghia Nguyen, Hyuk-Jae Lee, Kyujoong Lee:
A Real-time Super-resolution Accelerator Using a big. LITTLE Core Architecture. 158-161 - Kun-Chih Jimmy Chen
Hybrid Binary-Stochastic Computing-based ANN Design with Binary-in-Series-out ReLU. 162-165 - Hsu-Yu Kao, Shih-Hsu Huang:
A Behavior-Level Simulation Framework for RRAM-Based Deep Learning Accelerators with Flexible Architecture Configurations. 166-169 - Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi:
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. 170-173 - Felix Staudigl, Karl J. X. Sturm, Maximilian Bartel, Thorben Fetz, Dominik Sisejkovic, Jan Moritz Joseph, Letícia Maria Bolzani Pöhls, Rainer Leupers:
X-Fault: Impact of Faults on Binary Neural Networks in Memristor-Crossbar Arrays with Logic-in-Memory Computation. 174-177 - Davide Bertozzi, Kshitij Bhardwaj, Steven M. Nowick:
An Asynchronous Soft Macro for Ultra-Low Power Communication in Neuromorphic Computing. 178-181 - Chen-Han Hsu, Yu-Hsiang Cheng, Zhaofang Li, Ping-Li Huang, Kea-Tiong Tang:
A 62.45 TOPS/W Spike-Based Convolution Neural Network Accelerator with Spatiotemporal Parallel Data Flow and Sparsity Mechanism. 182-185 - Chne-Wuen Tsai, Miaolin Zhang, Lian Zhang, Jerald Yoo:
A Closed-Loop Brain-Machine Interface with One-Shot Learning and Online Tuning for Patient-Specific Neurological Disorder Treatment. 186-189 - Mohammad Ali Shaeri, Arshia Afzal, Mahsa Shoaran
Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs. 190-193 - Jie Yang, Ning Li, Yun-Hsuan Chen, Mohamad Sawan:
Towards Intelligent Noninvasive Closed-loop Neuromodulation Systems. 194-197 - Muhammad Sheeraz, Abdul Rehman Aslam, Nauman Hafeez
A Wearable High Blood Pressure Classification Processor Using Photoplethysmogram Signals through Power Spectral Density Features. 198-201 - Zhiqiang Que, Marcus Loo, Wayne Luk:
Reconfigurable Acceleration of Graph Neural Networks for Jet Identification in Particle Physics. 202-205 - Xiuping Cui, Xiaochen Hao, Yun Liang, Guangyu Sun, Xiaoxin Cui, Yuan Wang, Ru Huang:
A Mapping Model of SNNs to Neuromorphic Hardware. 206-209 - Sen Lu, Abhronil Sengupta:
Hybrid Neuromorphic Systems: An Algorithm-Application-Hardware-Neuroscience Co-Design Perspective: Invited Special Session Paper. 210-213 - Matthias Jobst
ZEN: A flexible energy-efficient hardware classifier exploiting temporal sparsity in ECG data. 214-217 - Thomas Bohnstingl, Anja Surina, Maxime Fabre, Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri, Angeliki Pantazi
Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware. 218-221 - Chen Mu, Yunzhengmao Wang
A 200M-Query-Vector/s Computing-in-RRAM ADC-less k-Nearest-Neighbor Accelerator with Time-Domain Winner-Takes-All Circuits. 222-225 - Kai Li, Junzhuo Zhou, Boyu Li, Shuxing Yang, Sixiao Huang, Shaobo Luo, Wei Mao, Hao Yu:
A Vector Systolic Accelerator for Multi-Precision Floating-Point High-Performance Computing. 226-229 - Mingyang Xu, Jinming Lu, Zhongfeng Wang, Jun Lin:
An Efficient CNN Training Accelerator Leveraging Transposable Block Sparsity. 230-233 - Shao-Cheng Wen, Po-Tsang Huang:
Design Exploration of An Energy-Efficient Acceleration System for CNNs on Low-Cost Resource-Constraint SoC-FPGAs. 234-237 - Chung-Bin Wu, Yu-Kuan Hsiao, Wei-Hsuan Chang:
Extensible and Modularized Processing Unit Design and Implementation for AI Accelerator. 238-241 - Bo-Xun Wu, Jia-Jheng Lin, Hsien-Kai Kuo, Po-Yu Chen, Jiun-In Guo:
Radar and Camera Fusion for Vacant Parking Space Detection. 242-245 - Chia-Heng Hu, I-Hao Tseng, Pei-Hsuan Kuo, Juinn-Dar Huang
An SoC Integration Ready VLIW-Driven CNN Accelerator with High Utilization and Scalability. 246-249 - Yu-Guang Chen, Tsung-Han Hsieh, Yi-Chen Ho, Jing-Yang Jou:
A Novel DNN Accelerator for Light-weight Neural Networks: Concept and Design. 250-253 - Do Young Kim
Efficient Deep Learning Algorithm for Alzheimer's Disease Diagnosis using Retinal Images. 254-257 - Inhwa Han, Boah Kim
Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization. 262-265 - SuBin Bea, Ye-Seul Park, Joo-Sung Sun, Jung-Won Lee:
Quality Evaluation Method for Chest X-Ray Images using the Reference Patterns. 266-269 - Myeongji Yun, Seungwoo Hong, Sunwoo Yoo, Junho Kim, Sung-Min Park, Youngjoo Lee:
Lightweight End-to-End Stress Recognition using Binarized CNN-LSTM Models. 270-273 - Zheng-Han Yu, Gwo Giun Chris Lee, Yi-Hua Liao
Convolutional Neural Network Classification of Basal Cell Carcinoma in Harmonically Generated Microscopy Images. 274-278 - Tae-Ho Lee, Viduranga Munasinghe, Yan-Mei Li, Jiajie Xu, Hyuk-Jae Lee, Jin-Sung Kim:
GAN - Based Medical Image Registration for Augmented Reality Applications. 279-282 - Brady Taylor, Nicky Ramos, Eric C. Yeats, Hai Li:
CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning. 283-286 - Lorenzo Lamberti
Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones. 287-290 - Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury:
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. 291-295 - Sabrina M. Neuman, Brian Plancher
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. 296-299 - Juhyoung Lee, Wooyoung Jo, Seong-Wook Park, Hoi-Jun Yoo:
Low-power Autonomous Adaptation System with Deep Reinforcement Learning. 300-303 - Mozhgan Navardi, Aidin Shiri, Edward Humes, Nicholas R. Waytowich, Tinoosh Mohsenin:
An Optimization Framework for Efficient Vision-Based Autonomous Drone Navigation. 304-307 - Si Wang, Chaohui Xu, Yue Zheng, Chip-Hong Chang:
A Buyer-traceable DNN Model IP Protection Method Against Piracy and Misappropriation. 308-311 - Yuntao Liu, Michael Zuzak, Daniel Xing, Isaac McDaniel, Priya Mittu, Olsan Ozbay, Abir Akib, Ankur Srivastava:
A Survey on Side-Channel-based Reverse Engineering Attacks on Deep Neural Networks. 312-315 - Yinghao Wu, Mingfu Xue, Dujuan Gu, Yushu Zhang, Weiqiang Liu:
Sample-Specific Backdoor based Active Intellectual Property Protection for Deep Neural Networks. 316-319 - Stefanos Koffas, Stjepan Picek, Mauro Conti
Dynamic Backdoors with Global Average Pooling. 320-323 - Jonah O'Brien Weiss, Tiago A. O. Alves, Sandip Kundu:
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning. 324-327 - Anuj Dubey, Emre Karabulut, Amro Awad, Aydin Aysu:
High-Fidelity Model Extraction Attacks via Remote Power Monitors. 328-331 - Chenglong Zou
A Hybrid Spiking Recurrent Neural Network on Hardware for Efficient Emotion Recognition. 332-335 - Hsu-Hsun Chin, Ren-Song Tsay, Hsin-I Wu:
An Adaptive High-Performance Quantization Approach for Resource-Constrained CNN Inference. 336-339 - Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. 340-343 - Sungrae Kim, Hyun Kim:
Power-Efficient Double-Cyclic Low-Precision Training for Convolutional Neural Networks. 344-347 - Dahun Choi, Hyun Kim:
Hardware-Friendly Logarithmic Quantization with Mixed-Precision for MobileNetV2. 348-351 - Jason Kamran Eshraghian
Navigating Local Minima in Quantized Spiking Neural Networks. 352-355 - Stephan Boner, Christian Vogt, Michele Magno
Tiny TCN model for Gesture Recognition With Multi-point Low power ToF-Sensors. 356-359 - Akshay Kumar Sharma, Kyung Ki Kim:
A Lightweight Detector for Small Objects. 360-361 - Jiaxin Huang, Bernhard Vogginger, Pascal Gerhards, Felix Kreutz, Florian Kelber, Daniel Scholz
Real-time Radar Gesture Classification with Spiking Neural Network on SpiNNaker 2 Prototype. 362-365 - Wilfred Kisku
AI driven Wide Dynamic Range CMOS Image Sensor. 366-370 - Amirreza Yousefzadeh, Gert-Jan van Schaik, Mohammad Tahghighi, Paul Detterer, Stefano Traferro, Martijn Hijdra, Jan Stuijt, Federico Corradi
SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture. 371-374 - Kofi Odame, Maria T. Nyamukuru:
Analog LSTM for Keyword Spotting. 375-378 - Amélie Gruel
Neuromorphic Event-Based Spatio-temporal Attention using Adaptive Mechanisms. 379-382 - Chia-Yu Hsieh, Shih-Ting Lin, Zhaofang Li, Chih-Cheng Lu, Meng-Fan Chang, Kea-Tiong Tang:
MARSv2: Multicore and Programmable Reconstruction Architecture SRAM CIM-Based Accelerator with Lightweight Network. 383-386 - Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama
Efficient Hardware Implementation for Online Local Learning in Spiking Neural Networks. 387-390 - Kangjie Long, Chaolin Rao, Xiangyu Zhang, Wen Bin Ye, Xin Lou:
FPGA Accelerator for Radar-Based Human Activity Recognition. 391-394 - Yong-Tai Chen, Yu-Feng Ou, Chao-Tsung Huang:
A Winograd-Based Highly-Parallel Convolution Engine for 8-bit CNN Acceleration. 395-398 - Hong-Yi Wang, Tian-Sheuan Chang
Row-wise Accelerator for Vision Transformer. 399-402 - Seungbin Kim, Jueun Jung, Wuyoung Jang, Hoichang Jeong, Kyuho Lee
A Real-Time Sparsity-Aware 3D-CNN Processor for Mobile Hand Gesture Recognition. 403-406 - Jinho Park
Bin-Specific Quantization in Spectral-Domain Convolutional Neural Network Accelerators. 407-410 - Brooks Olney, Shakil Mahmud, Robert Karam:
Efficient Nonlinear Autoregressive Neural Network Architecture for Real-Time Biomedical Applications. 411-414 - Davide Plozza
Real-Time Low Power Audio Distortion Circuit Modeling: a TinyML Deep Learning Approach. 415-418 - Shi-Jinn Horng, Yun-Jhu Zeng:
Improving Embedded Target Tracking Systems Based on Siamese Networks with Infrared Images. 419-422 - Wang Shule, Yulong Yan, Haoming Chu, Guangxi Hu, Zhi Zhang, Zhuo Zou, Lirong Zheng:
Hand Gesture Recognition Using IR-UWB Radar with Spiking Neural Networks. 423-426 - Hanrui Li
Real-time Biosignal Recording and Machine-Learning Analysis System. 427-430 - Shao Wen Cheng, Kai Jyun Hung, Hsie-Chia Chang, Yen-Chin Liao:
An Attention-based Neural Network on Multiple Speaker Diarization. 431-434 - Hyunmin Jung, Hyuk-Jae Lee, Chae-Eun Rhee:
Disparity Estimation using Light Ray Pair in Stacked 3D Light Field. 435-438 - Alessio Burrello
Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring. 439-442 - Stefan Brennsteiner, Tughrul Arslan, John S. Thompson, Andrew C. McCormick:
A machine learning enhanced approximate message passing massive MIMO accelerator. 443-446 - Abhairaj Singh, Mahdi Zahedi, Taha Shahroodi, Mohit Gupta, Anteneh Gebregiorgis, Manu Komalan, Rajiv V. Joshi, Francky Catthoor, Rajendra Bishnoi, Said Hamdioui:
CIM-based Robust Logic Accelerator using 28 nm STT-MRAM Characterization Chip Tape-out. 451-454 - Hyunchul Park, Kyeongho Lee, Jongsun Park:
A 10T SRAM Compute-In-Memory Macro with Analog MAC Operation and Time Domain Conversion. 455-458 - Belal Iqbal, Anuj Grover, Harsh Rawat:
A Process and Data Variations Tolerant Capacitive Coupled 10T1C SRAM for In-Memory Compute (IMC) in Deep Neural Network Accelerators. 459-462 - Hyunjeong Kwon, Hyun-Mi Kim, Chun-Gi Lyuh, Jin-Kyu Kim, Jinho Han, Youngsu Kwon:
AIWareK: Compiling PyTorch Model for AI Processor Using MLIR Framework. 463-465 - Jinho Han, Chun-Gi Lyuh, Kyeongsun Shin, Hyun-Mi Kim, Hyunjeong Kwon, Jaehoon Chung, Yong Cheol Peter Cho, Jinkyu Kim, Jeonghui Suk, Chan Kim, Minseok Choi, Youngsu Kwon:
ArtBrain-K: AI Processor based-on 5-PetaFLOPS AI Server System. 466-468 - Jeahack Lee
Implementing Binarized Neural Network Processor on FPGA-Based Platform. 469-471 - Yunpyo Hong, Seokhun Jeon, Sihyeong Park, Byung-Soo Kim:
Implementation of an Quantum Circuit Simulator using Classical Bits. 472-474 - Seung-Woo Im, Seokhun Jeon, Byung-Soo Kim, Taeho Hwang:
Weighted Decoupling: An Effective Image Resizing Method for Binarized Neural Network. 475-478 - Byungmin Ahn, Jaehun Jang, Hanbyeul Na, Mankeun Seo, Hongrak Son, Yong Ho Song:
AI Accelerator Embedded Computational Storage for Large-Scale DNN Models. 483-486 - Minho Ha, Joonseop Sim, Donguk Moon, Myunghyun Rhee, Jungmin Choi, Byungil Koh, Euicheol Lim, Kyoung Park:
CMS: A Computational Memory Solution for High-Performance and Power-Efficient Recommendation System. 491-494 - Hyunchul Shin, SangChul Kim, JungEun Lim, KwangYeon Rhee, JeongHyu Yang, Jingyeong Kim:
Al Engine Structures in LG TV Processor. 495-498 - Jeongwoo Park, Sunwoo Lee, Dongsuk Jeon:
A low power neural network training processor with 8-bit floating point with a shared exponent bias and fused multiply add trees. 499 - Jiaxin Huang, Pascal Gerhards, Felix Kreutz, Bernhard Vogginger, Florian Kelber, Daniel Scholz
Spiking Neural Network based Real-time Radar Gesture Recognition Live Demonstration. 500 - Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo:
A DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation. 501 - Yuncheng Lu, Zehao Li, Xin Zhang, Tony Tae-Hyoung Kim:
A 181µW Real-Time 3-D Hand-Gesture Recognition System for Edge Applications. 502 - Tsung-Han Tsai, Yi-Jhen Luo, Wei-Chung Wan:
Live Demonstration: Home Appliance Control System with Dynamic Hand Gesture Recognition base on 3D Hand Skeletons. 503 - Tsung-Han Tsai, Muhammad Awais Hussain, Chun-Lin Lee:
An Edge-Optimized Incremental Learning Algorithm For Audio Classification. 504 - Yu-Chien Chung, Hao-Hsiang Lian, Yong-Lun Xiao, Chih-Tsun Huang, Jing-Jia Liou:
Fast DNN-based Mechatronics Prototyping Platform on Robotic Arm Control. 506 - Min-Wu Jeong, Chanyong Shin, Chae-Eun Rhee:
Live Demo: Memory-Efficient Hardware Design for a Real-Time Convolutional Encoder-Decoder Network. 507 - Do Young Kim
Live Demonstration: Efficient Deep Learning Algorithm for Alzheimer's Disease Diagnosis using Retinal Images. 508
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