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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