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ORCIDIEEE Journal of Emerging and Selected Topics in Circuits and Systems, Volume 9
Volume 9, Number 1, March 2019
- Mathias Wien
, Jill M. Boyce, Thomas Stockhammer, Wen-Hsiao Peng:
Guest Editorial Immersive Video Coding and Transmission. 1-4 - Mathias Wien, Jill M. Boyce, Thomas Stockhammer, Wen-Hsiao Peng:
Standardization Status of Immersive Video Coding. 5-17 - Yago Sánchez de la Fuente, Gurdeep Singh Bhullar, Robert Skupin, Cornelius Hellge, Thomas Schierl:
Delay Impact on MPEG OMAF's Tile-Based Viewport-Dependent 360° Video Streaming. 18-28 - Duc V. Nguyen, Huyen T. T. Tran, Anh T. Pham, Truong Cong Thang:
An Optimal Tile-Based Approach for Viewport-Adaptive 360-Degree Video Streaming. 29-42 - Liyang Sun, Fanyi Duanmu, Yong Liu, Yao Wang, Yinghua Ye, Hang Shi, David Dai:
A Two-Tier System for On-Demand Streaming of 360 Degree Video Over Dynamic Networks. 43-57 - Jing Zhao, Ruiqin Xiong, Jizheng Xu:
OmniCast: Wireless Pseudo-Analog Transmission for Omnidirectional Video. 58-70 - Philippe Hanhart, Xiaoyu Xiu, Yuwen He, Yan Ye:
360° Video Coding Based on Projection Format Adaptation and Spherical Neighboring Relationship. 71-83 - Jian-Liang Lin, Ya-Hsuan Lee, Cheng-Hsuan Shih, Sheng-Yen Lin, Hung-Chih Lin, Shen-Kai Chang, Peng Wang, Lin Liu, Chi-Cheng Ju:
Efficient Projection and Coding Tools for 360° Video. 84-97 - Yefei Wang, Dong Liu, Siwei Ma, Feng Wu, Wen Gao:
Spherical Coordinates Transform-Based Motion Model for Panoramic Video Coding. 98-109 - Kai Zhang, Li Zhang, Wei-Jung Chien, Marta Karczewicz:
Intra-Prediction Mode Propagation for Video Coding. 110-121 - Wei-Jong Yang, Jar-Ferr Yang, Guan-Cheng Chen, Pau-Choo Chung, Ming-Fen Chung:
An Assigned Color Depth Packing Method With Centralized Texture Depth Packing Formats for 3D VR Broadcasting Services. 122-132 - Sebastian Schwarz, Marius Preda, Vittorio Baroncini, Madhukar Budagavi, Pablo César, Philip A. Chou, Robert A. Cohen, Maja Krivokuca, Sebastien Lasserre, Zhu Li, Joan Llach, Khaled Mammou, Rufael Mekuria, Ohji Nakagami, Ernestasia Siahaan, Ali J. Tabatabai, Alexis M. Tourapis, Vladyslav Zakharchenko:
Emerging MPEG Standards for Point Cloud Compression. 133-148 - Jounsup Park, Philip A. Chou, Jenq-Neng Hwang:
Rate-Utility Optimized Streaming of Volumetric Media for Augmented Reality. 149-162 - Xiang Zhang, Philip A. Chou, Ming-Ting Sun, Maolong Tang, Shanshe Wang, Siwei Ma, Wen Gao:
Surface Light Field Compression Using a Point Cloud Codec. 163-176 - Chuanmin Jia, Xinfeng Zhang, Shanshe Wang, Shiqi Wang, Siwei Ma:
Light Field Image Compression Using Generative Adversarial Network-Based View Synthesis. 177-189 - Alexandros Doumanoglou, Petros Drakoulis, Nikolaos Zioulis, Dimitrios Zarpalas, Petros Daras:
Benchmarking Open-Source Static 3D Mesh Codecs for Immersive Media Interactive Live Streaming. 190-203 - Suiyi Ling, Jesús Gutiérrez, Ke Gu, Patrick Le Callet:
Prediction of the Influence of Navigation Scan-Path on Perceived Quality of Free-Viewpoint Videos. 204-216 - Cagri Ozcinar, Julián Cabrera, Aljosa Smolic:
Visual Attention-Aware Omnidirectional Video Streaming Using Optimal Tiles for Virtual Reality. 217-230 - Tamay Aykut, Jingyi Xu, Eckehard G. Steinbach:
Realtime 3D 360-Degree Telepresence With Deep-Learning-Based Head-Motion Prediction. 231-244
Volume 9, Number 2, June 2019
- Chia-Yu Chen, Boris Murmann, Jae-sun Seo, Hoi-Jun Yoo:
Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview. 247-252 - Charbel Sakr, Yongjune Kim, Naresh R. Shanbhag:
Minimum Precision Requirements of General Margin Hyperplane Classifiers. 253-266 - Po-Chen Lin, Mu-Kai Sun, Chuking Kung, Tzi-Dar Chiueh:
FloatSD: A New Weight Representation and Associated Update Method for Efficient Convolutional Neural Network Training. 267-279 - Meiqi Wang, Zhisheng Wang, Jinming Lu, Jun Lin, Zhongfeng Wang:
E-LSTM: An Efficient Hardware Architecture for Long Short-Term Memory. 280-291 - Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer, Vivienne Sze:
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. 292-308 - Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine. 309-322 - Koen Goetschalckx, Marian Verhelst:
Breaking High-Resolution CNN Bandwidth Barriers With Enhanced Depth-First Execution. 323-331 - Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Pre-Defined Sparse Neural Networks With Hardware Acceleration. 332-345 - Chixiao Chen, Xindi Liu, Huwan Peng, Hongwei Ding, Chuanjin Richard Shi:
iFPNA: A Flexible and Efficient Deep Learning Processor in 28-nm CMOS Using a Domain-Specific Instruction Set and Reconfigurable Fabric. 346-357 - Jintao Zhang, Naveen Verma:
An In-memory-Computing DNN Achieving 700 TOPS/W and 6 TOPS/mm2 in 130-nm CMOS. 358-366 - Massimo Giordano, Giorgio Cristiano, Koji Ishibashi, Stefano Ambrogio, Hsinyu Tsai, Geoffrey W. Burr, Pritish Narayanan:
Analog-to-Digital Conversion With Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration. 367-376 - Jingyan Fu, Zhiheng Liao, Na Gong, Jinhui Wang:
Mitigating Nonlinear Effect of Memristive Synaptic Device for Neuromorphic Computing. 377-387 - Yasmin Halawani, Baker Mohammad, Muath Abu Lebdeh, Mahmoud Al-Qutayri, Said F. Al-Sarawi:
ReRAM-Based In-Memory Computing for Search Engine and Neural Network Applications. 388-397 - Manqing Mao, Xiaochen Peng, Rui Liu, Jingtao Li, Shimeng Yu, Chaitali Chakrabarti:
MAX2: An ReRAM-Based Neural Network Accelerator That Maximizes Data Reuse and Area Utilization. 398-410 - Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
Low-Power Computer Vision: Status, Challenges, and Opportunities. 411-421 - Sree Hari Krishnan Parthasarathi, Nitin Sivakrishnan, Pranav Ladkat, Nikko Strom:
Realizing Petabyte Scale Acoustic Modeling. 422-432
Volume 9, Number 3, September 2019
- Matthew M. Ziegler, Krishnan Kailas, Xin Zhang, Rajiv V. Joshi:
Research From the IEEE IBM AI Compute and Emerging Technology Symposia. 435-438 - Sohum Datta, Ryan Albert G. Antonio, Aldrin R. S. Ison, Jan M. Rabaey:
A Programmable Hyper-Dimensional Processor Architecture for Human-Centric IoT. 439-452 - Xiaocong Du, Zheng Li, Yufei Ma, Yu Cao:
Efficient Network Construction Through Structural Plasticity. 453-464 - Yu Liu, Wenrui Zhang, Peng Li:
Enabling Non-Hebbian Learning in Recurrent Spiking Neural Processors With Hardware-Friendly On-Chip Intrinsic Plasticity. 465-474 - Yinghan Long, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
Structured Learning for Action Recognition in Videos. 475-484 - Insik Yoon, Malik Aqeel Anwar, Rajiv V. Joshi, Titash Rakshit, Arijit Raychowdhury:
Hierarchical Memory System With STT-MRAM and SRAM to Support Transfer and Real-Time Reinforcement Learning in Autonomous Drones. 485-497 - Burhan Ahmad Mudassar, Priyabrata Saha, Yun Long, Mohammad Faisal Amir, Evan Gebhardt, Taesik Na, Jong Hwan Ko, Marilyn Wolf, Saibal Mukhopadhyay:
CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control. 498-508 - Jinhang Choi, Zeinab Hakimi, John Sampson, Vijaykrishnan Narayanan:
Byzantine-Tolerant Inference in Distributed Deep Intelligent System: Challenges and Opportunities. 509-519 - Dongyeob Shin, Wonseok Choi, Jongsun Park, Swaroop Ghosh:
Sensitivity-Based Error Resilient Techniques With Heterogeneous Multiply-Accumulate Unit for Voltage Scalable Deep Neural Network Accelerators. 520-531 - Kayode A. Sanni, Andreas G. Andreou:
A Historical Perspective on Hardware AI Inference, Charge-Based Computational Circuits and an 8 bit Charge-Based Multiply-Add Core in 16 nm FinFET CMOS. 532-543 - SungWon Chung, Jiemi Wang:
Tightly Coupled Machine Learning Coprocessor Architecture With Analog In-Memory Computing for Instruction-Level Acceleration. 544-561 - Seyedhamidreza Motaman, Swaroop Ghosh, Jongsun Park:
A Perspective on Test Methodologies for Supervised Machine Learning Accelerators. 562-569 - Xiaoyu Sun, Shimeng Yu:
Impact of Non-Ideal Characteristics of Resistive Synaptic Devices on Implementing Convolutional Neural Networks. 570-579 - Dwaipayan Chakraborty, Sunny Raj, Steven Lawrence Fernandes, Sumit Kumar Jha:
Input-Aware Flow-Based Computing on Memristor Crossbars With Applications to Edge Detection. 580-591
Volume 9, Number 4, December 2019
- Robert Chen-Hao Chang, Gwo Giun Chris Lee, Tobi Delbrück, Maurizio Valle:
Introduction to the Special Issue on the 1st IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2019). 595-597 - Sungpill Choi, Kyeongryeol Bong, Donghyeon Han, Hoi-Jun Yoo:
CNNP-v2: A Memory-Centric Architecture for Low-Power CNN Processor on Domain-Specific Mobile Devices. 598-611 - Donghyeon Lee, Hoseong Lee, Sangheon Lee, Kyujoong Lee, Hyuk-Jae Lee:
Hardware Design of a Context-Preserving Filter-Reorganized CNN for Super-Resolution. 612-622 - Qi-En Xiao, Pau-Choo Chung, Hung-Wen Tsai, Kuo-Sheng Cheng, Nan-Haw Chow, Ying-Zong Juang, Hann-Huei Tsai, Cheng-Hsiung Wang, Tsan-An Hsieh:
Hematoxylin and Eosin (H&E) Stained Liver Portal Area Segmentation Using Multi-Scale Receptive Field Convolutional Neural Network. 623-634 - Qingsong Xie, Yongfu Li, Guoxing Wang, Yong Lian:
An Unobtrusive System for Heart Rate Monitoring Based on Ballistocardiogram Using Hilbert Transform and Viterbi Decoding. 635-644 - Wai-Chi Fang, Kai-Yen Wang, Nicolas Fahier, Yun-Lung Ho, Yu-De Huang:
Development and Validation of an EEG-Based Real-Time Emotion Recognition System Using Edge AI Computing Platform With Convolutional Neural Network System-on-Chip Design. 645-657 - Yasufumi Sakai, Bruno U. Pedroni, Siddharth Joshi, Satoshi Tanabe, Abraham Akinin, Gert Cauwenberghs:
Dropout and DropConnect for Reliable Neuromorphic Inference Under Communication Constraints in Network Connectivity. 658-667 - Amirreza Yousefzadeh, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Mina A. Khoei, Sahar Hosseini, Priscila C. Holanda, Sam Leroux, Orlando Moreira, Jonathan Tapson, Bart Dhoedt, Pieter Simoens:
Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity. 668-678 - Dongchen Liang, Raphaela Kreiser, Carsten Nielsen, Ning Qiao, Yulia Sandamirskaya, Giacomo Indiveri:
Neural State Machines for Robust Learning and Control of Neuromorphic Agents. 679-689 - Iulia-Alexandra Lungu, Shih-Chii Liu, Tobi Delbrück:
Incremental Learning of Hand Symbols Using Event-Based Cameras. 690-696 - Vincent Camus, Linyan Mei, Christian C. Enz, Marian Verhelst:
Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing. 697-711 - Lin Li, Peter Deaville, Adrian E. Sapio, Lauri Anttila, Mikko Valkama, Marilyn Wolf, Shuvra S. Bhattacharyya:
MADS: A Framework for Design and Implementation of Adaptive Digital Predistortion Systems. 712-722 - Lukas Cavigelli, Georg Rutishauser, Luca Benini:
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. 723-734 - Seungsik Moon, Younghoon Byun, Jongmin Park, Sunggu Lee, Youngjoo Lee:
Memory-Reduced Network Stacking for Edge-Level CNN Architecture With Structured Weight Pruning. 735-746
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