ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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WP-PF: Object Detection VIII

Session Type: Poster
Time: Wednesday, September 20, 14:30 - 16:00
Location: Poster Area F
Session Chair: Kiyoharu Aizawa, University of Tokyo
 
  WP-PF.1: DETECT FACE IN THE WILD USING CNN CASCADE WITH FEATURE AGGREGATION AT MULTI-RESOLUTION
         Jingjing Deng; Swansea University
         Xianghua Xie; Swansea University
 
  WP-PF.2: CATEGORY INDEPENDENT OBJECT PROPOSALS USING QUANTUM SUPERPOSITION
         Junaid Malik; Tampere University of Technology
         Caglar Aytekin; Tampere University of Technology
         Moncef Gabbouj; Tampere University of Technology
 
  WP-PF.3: WEAKLY SUPERVISED OBJECT LOCALIZATION WITH DEEP CONVOLUTIONAL NEURAL NETWORK BASED ON SPATIAL PYRAMID SALIENCY MAP
         Zhiqiang Wan; University of Rhode Island
         Haibo He; University of Rhode Island
 
  WP-PF.4: PEDESTRIAN DETECTION WITH DYNAMIC ITERATIVE BOOTSTRAPPING
         Chao Pei; Peking University
         Lei Hao; Peking University
         Yuesheng Zhu; Peking University
 
  WP-PF.5: QUALITY-ADAPTIVE DEEP LEARNING FOR PEDESTRIAN DETECTION
         Khalid Tahboub; Purdue University
         David Güera; Purdue University
         Amy Reibman; Purdue University
         Edward Delp; Purdue University
 
  WP-PF.6: ACCURACY PREDICTION FOR PEDESTRIAN DETECTION
         Khalid Tahboub; Purdue University
         Amy Reibman; Purdue University
         Edward Delp; Purdue University
 
  WP-PF.7: GRAPH-THEORETIC SPATIOTEMPORAL CONTEXT MODELING FOR VIDEO SALIENCY DETECTION
         Lina Wei; Zhejiang University
         Fangfang Wang; Zhejiang University
         Xi Li; Zhejiang University
         Fei Wu; Zhejiang University
         Jun Xiao; Zhejiang University
 
  WP-PF.8: COST EFFICIENT SUBCATEGORY-AWARE CNN FOR OBJECT DETECTION
         Tingfeng Li; Shanghai Jiao Tong University
         Xu Zhao; Shanghai Jiao Tong University
 
  WP-PF.9: LOW-LIGHT PEDESTRIAN DETECTION FROM RGB IMAGES USING MULTI-MODAL KNOWLEDGE DISTILLATION
         Srinivas S S Kruthiventi; Harman International Industries
         Pratyush Sahay; Harman International Industries
         Rajesh Biswal; Harman International Industries
 
  WP-PF.10: ON THE USE OF DEEP NEURAL NETWORKS FOR THE DETECTION OF SMALL VEHICLES IN ORTHO-IMAGES
         Jean Ogier Du Terrail; Safran Electronics & Defense / Normandie Univ, UNICAEN, ENSICAEN, CNRS
         Frédéric Jurie; Normandie Univ, UNICAEN, ENSICAEN, CNRS