Technical Program

Login Paper Search My Schedule Paper Index Help

My ICIP 2016 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICIP 2016 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

WA.P5: Object Detection

Session Type: Poster
Time: Wednesday, September 28, 10:30 - 11:50
Location: Room 301 CD: Poster Area 5
Session Chair: Peter van Beek, Sharp Labs of America
 
Presented 10:30 - 11:00
 
  WA.P5.1: FISHER-SELECTIVE SEARCH FOR OBJECT DETECTION
         Ilker Buzcu; University of California, Los Angeles
         A. Aydın Alatan; Middle East Technical University
 
   WA.P5.2: WEAKLY SUPERVISED OBJECT DETECTION WITH CORRELATION AND PART SUPPRESSION
         Fang Wan; University of Chinese Academy of Sciences
         Pengxu Wei; University of Chinese Academy of Sciences
         Zhenjun Han; University of Chinese Academy of Sciences
         Kun Fu; Chinese Academy of Sciences
         Qixiang Ye; University of Chinese Academy of Sciences
 
   WA.P5.3: ITERATIVE LOCALIZATION REFINEMENT IN CONVOLUTIONAL NEURAL NETWORKS FOR IMPROVED OBJECT DETECTION
         Kai-Wen Cheng; National Taiwan University of Science and Technology
         Yie-Tarng Chen; National Taiwan University of Science and Technology
         Wen-Hsien Fang; National Taiwan University of Science and Technology
 
   WA.P5.4: CIRCLE DETECTION ON IMAGES BY LINE SEGMENT AND CIRCLE COMPLETENESS
         Truc Le; University of Missouri
         Ye Duan; University of Missouri
 
   WA.P5.5: FAST VISUAL OBJECT COUNTING VIA EXAMPLE-BASED DENSITY ESTIMATION
         Yi Wang; Peking University
         Yuexian Zou; Peking University
 
   WA.P5.6: CNN BASED REGION PROPOSALS FOR EFFICIENT OBJECT DETECTION
         Jawadul H. Bappy; University of California, Riverside
         Amit K. Roy-Chowdhury; University of California, Riverside
 
   WA.P5.7: TEMPORAL OBJECTNESS: MODEL-FREE LEARNING OF OBJECT PROPOSALS IN VIDEO
         Liang Peng; Utah State University
         Xiaojun Qi; Utah State University
 
   WA.P5.8: THE LOG-NORMAL DISTRIBUTION OF THE SIZE OF OBJECTS IN DAILY MEAL IMAGES AND ITS APPLICATION TO THE EFFICIENT REDUCTION OF OBJECT PROPOSALS
         Shota Horiguchi; The University of Tokyo
         Kiyoharu Aizawa; The University of Tokyo
         Makoto Ogawa; foo.log Inc.
 
 
End-of-Session Forum (all presenters available for discussion) 11:30 - 11:50