My ICASSP 2019 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.

Create a login based on your email (takes less than one minute)
Perform 'Paper Search'
Select papers that you desire to save in your personalized schedule
Click on 'My Schedule' to see the current list of selected papers
Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

DISPS-P1: Design and Implementation of Emerging Signal Processing Systems: Machine Learning / Neuromorphic Computing / IoT

Session Type: Poster

Time: Thursday, May 16, 08:00 - 10:00

Location: Poster Area J, West Bar, First Floor

Session Chair: John McAllister, Queen's University Belfast

DISPS-P1.1: COMPRESSING DEEP NEURAL NETWORKS USING TOEPLITZ MATRIX: ALGORITHM DESIGN AND FPGA IMPLEMENTATION

Siyu Liao; Rutgers University

Ashkan Samiee; California State University

Chunhua Deng; Rutgers University

Yu Bai; California State University

Bo Yuan; Rutgers University

DISPS-P1.2: A LOW-LATENCY SPARSE-WINOGRAD ACCELERATOR FOR CONVOLUTIONAL NEURAL NETWORKS

Haonan Wang; Nanjing University

Wenjian Liu; Nanjing University

Tianyi Xu; Nanjing University

Jun Lin; Nanjing University

Zhongfeng Wang; Nanjing University

DISPS-P1.3: WORKLOAD-AWARE AUTOMATIC PARALLELIZATION FOR MULTI-GPU DNN TRAINING

Sungho Shin; Seoul National University

Youngmin Jo; Seoul National University

Jungwook Choi; IBM Research AI

Swagath Venkataramani; IBM Research AI

Vijayalakshmi Srinivasan; IBM Research AI

Wonyong Sung; Seoul National University

DISPS-P1.4: OBJECT AND TEXT-GUIDED SEMANTICS FOR CNN-BASED ACTIVITY RECOGNITION

Sungmin Eum; Booz Allen Hamilton / U.S. Army Research Lab

Christopher Reale; Unaffiliated

Heesung Kwon; U.S. Army Research Laboratory

Claire Bonial; U.S. Army Research Laboratory

Clare Voss; U.S. Army Research Laboratory

DISPS-P1.5: BLIND MOTION DEBLURRING VIA INCEPTIONRESDENSENET BY USING GAN MODEL

Ze-Ming Chen; National Tsing Hua University

Long-Wen Chang; National Tsing Hua University

DISPS-P1.6: REDUCED-COMPLEXITY DEEP NEURAL NETWORK-AIDED CHANNEL CODE DECODER: A CASE STUDY FOR BCH DECODER

Chunhua Deng; Rutgers University

Siyu Liao; Rutgers University

Bo Yuan; Rutgers University

DISPS-P1.7: ENHANCING BEAMFORMED FINGERPRINT OUTDOOR POSITIONING WITH HIERARCHICAL CONVOLUTIONAL NEURAL NETWORKS

Joao Gante; INESC-ID, IST, Universidade de Lisboa

Gabriel Falcao; Instituto de Telecomunicacoes (IT)

Leonel Sousa; INESC-ID, IST, Universidade de Lisboa

DISPS-P1.8: ENHANCING ACOUSTIC SENSORY RESPONSIVENESS BY EXPLOITING BIO-INSPIRED FEEDBACK COMPUTATION

José Guerreiro; University of Strathclyde

Joseph Jackson; University of Strathclyde

James Windmill; University of Strathclyde

DISPS-P1.9: VARIANCE PRESERVING INITIALIZATION FOR TRAINING DEEP NEUROMORPHIC PHOTONIC NETWORKS WITH SINUSOIDAL ACTIVATIONS

Nikolaos Passalis; Aristotle University of Thessaloniki

George Mourgias-Alexandris; Aristotle University of Thessaloniki

Apostolos Tsakyridis; Aristotle University of Thessaloniki

Nikos Pleros; Aristotle University of Thessaloniki

Anastasios Tefas; Aristotle University of Thessaloniki

DISPS-P1.10: A SPIKING NEURAL NETWORK APPROACH TO AUDITORY SOURCE LATERALISATION

Robert Luke; Macquarie University

David McAlpine; Macquarie University

DISPS-P1.11: EFFICIENT SIGNAL RECONSTRUCTION VIA DISTRIBUTED LEAST SQUARE OPTIMIZATION ON A SYSTOLIC FPGA ARCHITECTURE

Muya Chang; Georgia Institute of Technology

Samantak Gangopadhyay; Georgia Institute of Technology

Tomer Hamam; Georgia Institute of Technology

Justin Romberg; Georgia Institute of Technology

Arijit Raychowdhury; Georgia Institute of Technology

DISPS-P1.12: LORA DIGITAL RECEIVER ANALYSIS AND IMPLEMENTATION

Reza Ghanaatian; École Polytechnique Fédérale de Lausanne

Orion Afisiadis; École Polytechnique Fédérale de Lausanne

Matthieu Cotting; École Polytechnique Fédérale de Lausanne

Andreas Burg; École Polytechnique Fédérale de Lausanne