Technical Program

MMSP-P2: Feature Learning and Analysis

Session Type: Poster
Time: Thursday, March 9, 08:30 - 10:30
Location: Churchill: Poster Area I
Session Chair: Winston Hsu, National Taiwan University
 
MMSP-P2.1: LEARNING DEEP VECTOR REGRESSION MODEL FOR NO-REFERENCE IMAGE QUALITY ASSESSMENT
         Jie Gu; Institute of Automation, Chinese Academy of Sciences
         Gaofeng Meng; Institute of Automation, Chinese Academy of Sciences
         Lingfeng Wang; Institute of Automation, Chinese Academy of Sciences
         Chunhong Pan; Institute of Automation, Chinese Academy of Sciences
 
MMSP-P2.2: MULTI-VIEW REPRESENTATION LEARNING VIA GCCA FOR MULTIMODAL ANALYSIS OF PARKINSON'S DISEASE
         Juan Camilo Vásquez-Correa; University of Antioquia
         Juan Rafael Orozco-Arroyave; University of Antioquia
         Raman Arora; Johns Hopkins University
         Elmar Nöth; Friedrich Alexander Universitat Erlangen-Nuremberg
         Najim Dehak; Johns Hopkins University
         Heidi Christensen; University of Sheffield
         Frank Rudzicz; University of Toronto
         Tobias Bocklet; Intel Corporation
         Milos Cernak; Idiap research institute
         Hamidreza Chinaei; University of Toronto
         Julius Hannick; Friedrich Alexander Universitat Erlangen-Nuremberg
         Phani Sankar Nidadavolu; Johns Hopkins University
         Maria Yancheva; University of Toronto
         Alyssa Vann; Stanford University
         Nikolai Vogler; University of California, Irvine
 
MMSP-P2.3: FEATURE EXTRACTION USING MULTIMODAL CONVOLUTIONAL NEURAL NETWORKS FOR VISUAL SPEECH RECOGNITION
         Eric Tatulli; CNRS / Univ. Grenoble-Alpes / GIPSA-lab
         Thomas Hueber; CNRS / Univ. Grenoble-Alpes / GIPSA-lab
 
MMSP-P2.4: AN ACCUMULATIVE FUSION ARCHITECTURE FOR DISCRIMINATING PEOPLE AND VEHICLES USING ACOUSTIC AND SEISMIC SIGNALS
         Kyunghun Lee; University of Maryland
         Benjamin Riggan; U.S. Army Research Laboratory
         Shuvra Bhattacharyya; University of Maryland
 
MMSP-P2.5: MULTI-TASK LEARNING FOR FACE IDENTIFICATION AND ATTRIBUTE ESTIMATION
         Hui-Lan Hsieh; National Taiwan University
         Winston Hsu; National Taiwan University
         Yan-Ying Chen; Palo Alto Laboratory
 
MMSP-P2.6: A FIRST ATTEMPT AT POLYPHONIC SOUND EVENT DETECTION USING CONNECTIONIST TEMPORAL CLASSIFICATION
         Yun Wang; Carnegie Mellon University
         Florian Metze; Carnegie Mellon University
 
MMSP-P2.7: FAST TAGGING OF NATURAL SOUNDS USING MARGINAL CO-REGULARIZATION
         Qiang Huang; University of Surrey
         Yong Xu; University of Surrey
         Philip J. B. Jackson; University of Surrey
         Wenwu Wang; University of Surrey
         Mark D. Plumbley; University of Surrey
 
MMSP-P2.8: 3A: A PERSON RE-IDENTIFICATION SYSTEM VIA ATTRIBUTE AUGMENTATION AND AGGREGATION
         Zheng Wang; Wuhan University
         Ruimin Hu; Wuhan University
         Chao Liang; Wuhan University
         Rui Shao; Wuhan University
         Yi Yu; National Institute of Informatics