Technical Program

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TA.P8: Deep Learning for Detection and Classification II

Session Type: Poster
Time: Tuesday, October 9, 10:30 - 12:10
Location: Poster Area 8
Session Chair: Homer Chen, National Taiwan University
 
 TA.P8.1: FLEXIBLE NETWORK BINARIZATION WITH LAYER-WISE PRIORITY
         He Wang; Shanghai Jiao Tong University
         Yi Xu; Shanghai Jiao Tong University
         Bingbing Ni; Shanghai Jiao Tong University
         Lixue Zhuang; Shanghai Jiao Tong University
         Hongteng Xu; Duke University; Infinia ML, Inc.;
 
 TA.P8.2: LSTM MULTIPLE OBJECT TRACKER COMBINING MULTIPLE CUES
         Yiming Liang; Shanghai Jiao Tong University
         Yue Zhou; Shanghai Jiao Tong University
 
 TA.P8.3: DEEP IMAGE CLUSTERING USING CONVOLUTIONAL AUTOENCODER EMBEDDING WITH INCEPTION-LIKE BLOCK
         Qiang Wang; National University of Defense Technology
         Jiaqing Xu; National University of Defense Technology
         Rongchun Li; National University of Defense Technology
         Peng Qiao; National University of Defense Technology
         Ke Yang; National University of Defense Technology
         Shijie Li; National University of Defense Technology
         Yong Dou; National University of Defense Technology
 
 TA.P8.4: DEEP-LEARNING-BASED PIPE LEAK DETECTION USING IMAGE-BASED LEAK FEATURES
         Ji-Hoon Bae; Electronics and Telecommunications Research Institute
         Doyeob Yeo; Electronics and Telecommunications Research Institute
         Doo-Byung Yoon; Korea Atomic Energy Research Institute
         Se Won Oh; Electronics and Telecommunications Research Institute
         Gwan Joong Kim; Electronics and Telecommunications Research Institute
         Nae-Soo Kim; Electronics and Telecommunications Research Institute
         Cheol-Sig Pyo; Electronics and Telecommunications Research Institute
 
 TA.P8.5: A HUMAN-CENTERED NEURAL NETWORK MODEL WITH DISCRIMINATIVE LOCALITY PRESERVING CANONICAL CORRELATION ANALYSIS FOR IMAGE CLASSIFICATION
         Kazaha Horii; Hokkaido University
         Keisuke Maeda; Hokkaido University
         Takahiro Ogawa; Hokkaido University
         Miki Haseyama; Hokkaido University
 
 TA.P8.6: CONCATNET: A DEEP ARCHITECTURE OF CONCATENATION-ASSISTED NETWORK FOR DENSE FACIAL LANDMARK ALIGNMENT
         Hyewon Song; Yonsei University
         Jiwoo Kang; Yonsei University
         Sanghoon Lee; Yonsei University
 
 TA.P8.7: AN END-TO-END DEEP NEURAL ARCHITECTURE FOR OPTICAL CHARACTER VERIFICATION AND RECOGNITION IN RETAIL FOOD PACKAGING
         Fabio De Sousa Ribeiro; University of Lincoln
         Liyun Gong; University of Lincoln
         Francesco Caliva; University of Lincoln
         Mark Swainson; University of Lincoln
         Kjartan Gudmundsson; University of Lincoln
         Miao Yu; University of Lincoln
         Georgios Leontidis; University of Lincoln
         Xujiong Ye; University of Lincoln
         Stefanos Kollias; University of Lincoln
 
 TA.P8.8: POSE AWARE FINE-GRAINED VISUAL CLASSIFICATION USING POSE EXPERTS
         Kushagra Mahajan; Indraprastha Institute of Information Technology, Delhi
         Tarasha Khurana; Indraprastha Institute of Information Technology, Delhi
         Ayush Chopra; Indraprastha Institute of Information Technology, Delhi
         Isha Gupta; Indraprastha Institute of Information Technology, Delhi
         Chetan Arora; Indraprastha Institute of Information Technology, Delhi
         Atul Rai; Staqu Technologies