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TPB.P3: Face Processing I

Session Type: Poster
Time: Tuesday, September 27, 15:50 - 17:10
Location: Room 301 CD: Poster Area 3
Session Chair: Jeffrey Rodriguez, University of Arizona
 
Presented 15:50 - 16:20
 
   TPB.P3.1: 3D CONSTRAINED LOCAL MODEL WITH INDEPENDENT COMPONENT ANALYSIS AND NON-GAUSSIAN SHAPE PRIOR DISTRIBUTION: APPLICATION TO 3D FACIAL LANDMARK DETECTION
         Marwa C. El Rai; Khalifa University of Science, Technology and Research
         Claudio Tortorici; Khalifa University of Science, Technology and Research
         Hassan Al-Muhairi; Khalifa University of Science, Technology and Research
         Marius Linguraru; Sheikh Zayed Institute
         Naoufel Werghi; Khalifa University of Science, Technology and Research
 
   TPB.P3.2: A DEEP FACIAL LANDMARKS DETECTION WITH FACIAL CONTOUR AND FACIAL COMPONENTS CONSTRAINT
         Wissam Baddar; Korea Advanced Institute of Science and Technology
         Jisoo Son; Korea Advanced Institute of Science and Technology
         Dae Hoe Kim; Korea Advanced Institute of Science and Technology
         Seong Tae Kim; Korea Advanced Institute of Science and Technology
         Yong Man Ro; Korea Advanced Institute of Science and Technology
 
   TPB.P3.3: FCFD: TEACH THE MACHINE TO ACCOMPLISH FACE DETECTION STEP BY STEP
         Shilun Lin; Beijing University of Posts and Telecommunications
         Fei Su; Beijing University of Posts and Telecommunications
 
   TPB.P3.4: A FAST MULTI-VIEW FACE DETECTOR FOR MOBILE PHONE
         Hao Feng; Samsung R&D Institute China-Beijing
         Biao Wang; Samsung R&D Institute China-Beijing
         Chao Zhang; Samsung R&D Institute China-Beijing
         Bing Yu; Samsung R&D Institute China-Beijing
         Wonjun Hwang; Samsung Advanced Institute of Technology
         Jae-Joon Han; Samsung Advanced Institute of Technology
         Changkyu Choi; Samsung Advanced Institute of Technology
         Haitao Wang; Samsung R&D Institute China-Beijing
 
   TPB.P3.5: LOCAL BINARY PATTERN NETWORK : A DEEP LEARNING APPROACH FOR FACE RECOGNITION
         Meng Xi; University of Northern British Columbia
         Liang Chen; University of Northern British Columbia
         Desanka Polajnar; University of Northern British Columbia
         Weiyang Tong; Syracuse University
 
   TPB.P3.6: MULTI-MODEL ROBUST ERROR CORRECTION FOR FACE RECOGNITION
         Michael Iliadis; Northwestern University
         Leonidas Spinoulas; Northwestern University
         Albert Berahas; Northwestern University
         Haohong Wang; TCL Research America
         Aggelos K. Katsaggelos; Northwestern University
 
   TPB.P3.7: TRIPLE LOCAL FEATURE BASED COLLABORATIVE REPRESENTATION FOR FACE RECOGNITION WITH SINGLE SAMPLE PER PERSON
         Tiancheng Song; Shenzhen University
         Xing Wang; Shenzhen University
         Meng Yang; Shenzhen University
         Shiqi Yu; Shenzhen University
         Linlin Shen; Shenzhen University
 
   TPB.P3.8: LEVERAGING MID-LEVEL DEEP REPRESENTATIONS FOR PREDICTING FACE ATTRIBUTES IN THE WILD
         Yang Zhong; KTH Royal Institute of Technology
         Josephine Sullivan; KTH Royal Institute of Technology
         Haibo Li; KTH Royal Institute of Technology
 
Presented 16:20 - 16:50
 
   TPB.P3.9: PURSUING FACE IDENTITY FROM VIEW-SPECIFIC REPRESENTATION TO VIEW-INVARIANT REPRESENTATION
         Ting Zhang; Institute of Automation, Chinese Academy of Sciences
         Qiulei Dong; Institute of Automation, Chinese Academy of Sciences
         Zhanyi Hu; Institute of Automation, Chinese Academy of Sciences
 
   TPB.P3.10: LINEAR CANONICAL CORRELATION ANALYSIS BASED RANKING APPROACH FOR FACIAL AGE ESTIMATION
         Hong Liu; Peking University
         Xiaohu Sun; Peking University
 
 
End-of-Session Forum (all presenters available for discussion) 16:50 - 17:10