Technical Program

MA-PA: Sensing and Acquisition

Session Type: Poster
Time: Monday, September 18, 10:30 - 12:00
Location: Poster Area A
Session Chair: Pablo Musé, Universidad de la Republica
 
MA-PA.1: MULTI-VIEW TASK-DRIVEN RECOGNITION IN VISUAL SENSOR NETWORKS
         Ali Taalimi; University of Tennessee
         Alireza Rahimpour; University of Tennessee
         Liu Liu; University of Tennessee
         Hairong Qi; University of Tennessee
 
MA-PA.2: MF-LRTC: MULTI-FILTERS GUIDED LOW-RANK TENSOR CODING FOR IMAGE RESTORATION
         Hongyang Lu; Nanchang University
         Sanqian Li; Nanchang University
         Qiegen Liu; Nanchang University
         Yuhao Wang; Nanchang University
 
MA-PA.3: SAMPLING PATTERN DESIGN ALGORITHM FOR ATOMIC FORCE MICROSCOPY IMAGES
         Yufan Luo; Boston university
         Sean Andersson; Boston university
 
MA-PA.4: LOW POWER DEPTH ESTIMATION FOR TIME-OF-FLIGHT IMAGING
         James Noraky; Massachusetts Institute of Technology
         Vivienne Sze; Massachusetts Institute of Technology
 
MA-PA.5: FAST INITIALIZATION FOR FEATURE-BASED MONOCULAR SLAM
         Shaobo Zhang; Zhejiang University of Technology
         Sheng Liu; Zhejiang University of Technology
         Jianhua Zhang; Zhejiang University of Technology
         Zhenhua Wang; Zhejiang University of Technology
         Xiaoyan Wang; Zhejiang University of Technology
 
MA-PA.6: HYPERLAPSE GENERATION OF OMNIDIRECTIONAL VIDEOS BY ADAPTIVE SAMPLING BASED ON 3D CAMERA POSITIONS
         Masanori Ogawa; The University of Tokyo
         Toshihiko Yamasaki; The University of Tokyo
         Kiyoharu Aizawa; The University of Tokyo
 
MA-PA.7: SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN
         Xiangguo Li; Henan University of Technology
         Bryan Gardiner; University of Ulster
         Sonya Coleman; University of Ulster
 
MA-PA.8: DENOISING RADIO INTERFEROMETRIC IMAGES BY SUBSPACE CLUSTERING
         Nezihe Merve Gürel; IBM Zurich Research Laboratory
         Paul Hurley; IBM Zurich Research Laboratory
         Matthieu Simeoni; IBM Zurich Research Laboratory
 
MA-PA.9: IMPROVED DENOISING VIA POISSON MIXTURE MODELING OF IMAGE SENSOR NOISE
         Jiachao Zhang; Nanjing University of Science and Technology
         Keigo Hirakawa; University of Dayton