Technical Program

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MA.L2: Feature Extraction I

Session Type: Lecture
Time: Monday, September 26, 10:30 - 12:30
Location: Room 106 C
Session Chair: Christine Guillemot, INRIA Rennes
 
Presented 10:30 - 10:50
 MA.L2.1: EFFICIENT KEYPOINT DETECTION AND DESCRIPTION USING FILTER KERNEL DECOMPOSITION IN SCALE SPACE
         Ryo Okutani; Waseda University
         Kenjiro Sugimoto; Waseda University
         Sei-ichiro Kamata; Waseda University
 
Presented 10:50 - 11:10
 MA.L2.2: TOWARDS MULTI-SCALE FEATURE DETECTION REPEATABLE OVER INTENSITY AND DEPTH IMAGES
         Hatem A. Rashwan; Université de Toulouse
         Sylvie Chambon; Université de Toulouse
         Pierre Gurdjos; Université de Toulouse
         Géraldine Morin; Université de Toulouse
         Vincent Charvillat; Université de Toulouse
 
Presented 11:10 - 11:30
 MA.L2.3: ON THE GENERALITY OF NEURAL IMAGE FEATURES
         Ragav Venkatesan; Arizona State University
         Vijetha Gatupalli; Arizona State University
         Baoxin Li; Arizona State University
 
Presented 11:30 - 11:50
 MA.L2.4: IMAGE FEATURE EXTRACTION BASED ON SPECTRAL GRAPH INFORMATION
         Jieqi Kang; University of Massachusetts, Amherst
         Shan Lu; University of Massachusetts, Amherst
         Weibo Gong; University of Massachusetts, Amherst
         Patrick Kelly; University of Massachusetts, Amherst
 
Presented 11:50 - 12:10
 MA.L2.5: VISUAL LOCATION SEARCH USING SYMMELETS
         Chong-Po Liao; National Taiwan Ocean University
         Jun-Wei Hsieh; National Taiwan Ocean University
         Hui-Fen Chiang; National Taiwan Ocean University
         Yun Tsao; National Taiwan Ocean University
 
Presented 12:10 - 12:30
MA.L2.6: NUCLEAR-NORM REGULARIZED NEIGHBORHOOD PRESERVING PROJECTION
         Zhao Zhang; Soochow University
         Fanzhang Li; Soochow University
         Mingbo Zhao; City University of Hong Kong
         Li Zhang; Soochow University
         Shuicheng Yan; National University of Singapore