Awards
Best Paper Award and Best Student Paper Award
These awards are intended to recognize exceptional contributions and encourage new entrants into the fields within the technical scope of the conference. Winners are selected using paper reviews and additional study by an Awards Committee. Typically, two or three papers are selected for each of these awards. Winners receive a cash prize (split among authors for the Best Paper Award and among student authors for the Best Student Paper Award) and a certificate. These awards are sponsored by Microsoft Corporation.
Conference Best Paper Award for Industry
This award recognizes a paper of exceptional industrial merit and industrial impact dealing with a subject related to the Signal Processing Society’s technical scope. Selection is by a five-person Conference Award Evaluation Committee. The prize shall consist of $500 per author (up to a maximum of $1500 per award) and a certificate. See the Signal Processing Society web site for additional details.
Award Finalists
Finalists of Best Papers and Best Student Papers (sponsored by Microsoft Corporation)
- MA-L8.5
DEFORMATION TRANSFER OF 3D HUMAN SHAPES AND POSES ON MANIFOLDS
Abd El Rahman Shabayek, Djamila Aouada, Alexandre Saint, Bjorn Ottersten, SnT, University of Luxembourg, Luxembourg
- MA-L9.5
EDGE/STRUCTURE PRESERVING SMOOTHING VIA RELATIVITY-OF-GAUSSIAN
Bolun Cai, Xiaofen Xing, Xiangmin Xu, South China University of Technology, China
- MP-L7.4
ACCURATE SMALL OBJECT DETECTION VIA DENSITY MAP AIDED SALIENCY ESTIMATION
Xiaoqun Zhou, Yuexian Zou, Yi Wang, Peking University, China
- TA-L1.6
IMPROVING 3D RECONSTRUCTION TRACKS USING DENOISED EUCLIDEAN DISTANCE MATRICES
Simone Milani, University of Padova, Italy
- TP-PC.4
PRE-DEMOSAIC LIGHT FIELD IMAGE COMPRESSION USING GRAPH LIFTING TRANSFORM
Yung-Hsuan Chao, University of Southern California, United States; Gene Cheung, National Institute of Informatics, Japan; Antonio Ortega, University of Southern California, United States
- WA-L6.6
ABNORMAL EVENT DETECTION IN VIDEOS USING GENERATIVE ADVERSARIAL NETS
Mahdyar Ravanbakhsh, University of Genova, Italy; Moin Nabi, Enver Sangineto, University of Trento, Italy; Lucio Marcenaro, Carlo Regazzoni, University of Genova, Italy; Nicu Sebe, University of Trento, Italy
- WP-L1.5
LAYERED-GIVENS TRANSFORMS: TUNABLE COMPLEXITY, HIGH-PERFORMANCE APPROXIMATION OF OPTIMAL NON-SEPARABLE TRANSFORMS
Bohan Li, University of California, Santa Barbara, United States; Onur G. Guleryuz, LG Electronics, United States; Jana Ehmann, Google Incorporate, United States; Arash Vosoughi, Sony Electronics, United States
- WP-L2.3
ONLINE CONVOLUTIONAL DICTIONARY LEARNING
Jialin Liu, UCLA, United States; Cristina Garcia-Cardona, Brendt Wohlberg, Los Alamos National Laboratory, United States; Wotao Yin, UCLA, United States
- WP-PE.4
KERNEL GENERALIZED GAUSSIAN AND ROBUST STATISTICAL LEARNING FOR ABNORMALITY DETECTION IN MEDICAL IMAGES
Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate, Indian Institute of Technology (IIT) Bombay, India
- WQ-PA.3
LEARNING TO GENERATE IMAGES WITH PERCEPTUAL SIMILARITY METRICS
Jake Snell, University of Toronto, Canada; Karl Ridgeway, University of Colorado, Boulder, United States; Renjie Liao, University of Toronto, Canada; Brett Roads, Michael Mozer, University of Colorado, Boulder, United States; Richard Zemel, University of Toronto, Canada
Finalists of Conference Best Paper for Industry (sponsored by IEEE Signal Processing Society)
- MA-L1.3
CHROMA ADJUSTMENT FOR HDR VIDEO
Jacob Ström, Per Wennersten, Ericsson Research, Sweden
- MA-PA.8
DENOISING RADIO INTERFEROMETRIC IMAGES BY SUBSPACE CLUSTERING
Nezihe Merve Gürel, Paul Hurley, Matthieu Simeoni, IBM Zurich Research Laboratory, Switzerland
- TA-L1.3
HIGH DYNAMIC RANGE IMAGING USING CAMERA ARRAYS
Kalpana Seshadrinathan, Oscar Nestares, Intel Corporation, United States
- TP-PB.2
CONTRAST-ACCUMULATED HISTOGRAM EQUALIZATION FOR IMAGE ENHANCEMENT
Xiaomeng Wu, Xinhao Liu, Kaoru Hiramatsu, Kunio Kashino, Nippon Telegraph and Telephone Corporation, Japan
- WA-L1.6
VIRTUAL REALITY CONTENT STREAMING: VIEWPORT-DEPENDENT PROJECTION AND TILE-BASED TECHNIQUES
Alireza Zare, Alireza Aminlou, Miska M. Hannuksela, Nokia Technologies, Finland
