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TU2.I: Signal Processing for Emerging Applications: Machine Learning

Session Type: Poster
Time: Tuesday, 5 May, 16:30 - 18:30
Location: On-Demand
Session Chairs: Gabriel Falcao , University of Coimbra and Balatsoukas A.K. Stimming, Eindhoven University of Technology, Netherlands
 
   TU2.I.1: FAST AND ACCURATE EMBEDDED DCNN FOR RGB-D BASED SIGN LANGUAGE RECOGNITION
         Ching-Chen Wang; National Tsing Hua University
         Ching-Te Chiu; National Tsing Hua University
         Chao-Tsung Huang; National Tsing Hua University
         Yu-Chun Ding; National Tsing Hua University
         Li-Wei Wang; National Tsing Hua University
 
   TU2.I.2: D2NA: DAY-TO-NIGHT ADAPTATION FOR VISION BASED PARKING MANAGEMENT SYSTEM
         Wei-Zhong Zheng; National Chung Cheng University
         Vu-Hoang Tran; Ho Chi Minh City University of Technology and Education
         Ching-Chun Huang; National Chiao Tung University
 
   TU2.I.3: ENERGAN: A GENERATIVE ADVERSARIAL NETWORK FOR ENERGY DISAGGREGATION
         Maria Kaselimi; National Technical University of Athens
         Athanasios Voulodimos; University of West Attica
         Eftychios Protopapadakis; National Technical University of Athens
         Nikolaos Doulamis; National Technical University of Athens
         Anastasios Doulamis; National Technical University of Athens
 
   TU2.I.4: ENHANCING THE LABELLING OF AUDIO SAMPLES FOR AUTOMATIC INSTRUMENT CLASSIFICATION BASED ON NEURAL NETWORKS
         Gonçalo Castel-Branco; Instituto de Telecomunicações, University of Coimbra
         Gabriel Falcao; Instituto de Telecomunicações, University of Coimbra
         Fernando Perdigão; Instituto de Telecomunicações, University of Coimbra
 
   TU2.I.5: DEEP-NEURAL-NETWORK BASED FALL-BACK MECHANISM IN INTERFERENCE-AWARE RECEIVER DESIGN
         Sha Hu; Huawei Sweden
         Wenquan Hu; Huawei Sweden
         Dzevdan Kapetanovic; Huawei Sweden
         Neng Wang; Huawei Sweden
 
   TU2.I.6: DNN-CHIP PREDICTOR: AN ANALYTICAL PERFORMANCE PREDICTOR FOR DNN ACCELERATORS WITH VARIOUS DATAFLOWS AND HARDWARE ARCHITECTURES
         Yang Zhao; Rice University
         Chaojian Li; Rice University
         Yue Wang; Rice University
         Pengfei Xu; Rice University
         Yongan Zhang; Rice University
         Yingyan Lin; Rice University
 
   TU2.I.7: LOW-COMPLEXITY FIXED-POINT CONVOLUTIONAL NEURAL NETWORKS FOR AUTOMATIC TARGET RECOGNITION
         Hassan Dbouk; University of Illinois at Urbana-Champaign
         Hanfei Geng; University of Illinois at Urbana-Champaign
         Craig M. Vineyard; Sandia National Laboratories
         Naresh R. Shanbhag; University of Illinois at Urbana-Champaign
 
   TU2.I.8: ACCELERATING DISTRIBUTED DEEP LEARNING BY ADAPTIVE GRADIENT QUANTIZATION
         Jinrong Guo; Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences
         Wantao Liu; Institute of Information Engineering, Chinese Academy of Sciences
         Wang Wang; Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences
         Jizhong Han; Institute of Information Engineering, Chinese Academy of Sciences
         Ruixuan Li; Institute of Information Engineering, Chinese Academy of Sciences
         Yijun Lu; Alibaba Cloud Computing Co. Ltd.
         Songlin Hu; Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences
 
   TU2.I.9: LUPULUS: A FLEXIBLE HARDWARE ACCELERATOR FOR NEURAL NETWORKS
         Andreas Toftegaard Kristensen; Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Robert Giterman; Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Alexios Balatsoukas-Stimming; Eindhoven University of Technology
         Andreas Burg; Ecole Polytechnique Fédérale de Lausanne (EPFL)
 
   TU2.I.10: DEPTH ESTIMATION FROM SINGLE IMAGE THROUGH MULTI-PATH-MULTI-RATE DIVERSE FEATURE EXTRACTOR
         Wen-Yi Lo; National Tsing Hua University
         Ching-Te Chiu; National Tsing Hua University
         Jie-Yu Luo; National Tsing Hua University
 
   TU2.I.11: OBJECT DETECTION WITH COLOR AND DEPTH IMAGES WITH MULTI-REDUCED REGION PROPOSAL NETWORK AND MULTI-POOLING
         Jiou-Ai Lin; National Tsing Hua University
         Ching-Te Chiu; National Tsing Hua University
         Yen-Yu Cheng; National Tsing Hua University
 
   TU2.I.12: DEBLURRING AND SUPER-RESOLUTION USING DEEP GATED FUSION ATTENTION NETWORKS FOR FACE IMAGES
         Chao-Hsun Yang; National Tsing Hua University
         Long-Wen Chang; National Tsing Hua University