Image and Video Understanding Lab
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2017
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Sara Shaheen
Bernard Ghanem and Narendra Ahuja
Ganzhao Yuan
Matthias Mueller
Adel Bibi
Aditya Khosla
Akshat Dave
Ali Fawaz
Ali Thabet
Alyn Rockwood
and Anthony Stentz
and Arun Krishnan
and Ghassan Karame
and Juan Carlos Niebles
and Ming-Hsuan Yang
and Narendra Ahuja
B. Ghanem
Baoyuan Wu
Bernard Ghanem
Bernard Ghanem and Narendra Ahuja
C.Xu
Caigui Jiang
Changsheng Xu
Daniel Asmar
Emre Akbas
Esther Resendiz
Fabian Caba
Fabian Caba Heilbron
Fan Jia
Ganzhao Yuan
Gopal Sharma
Hani Itani
Hongxun Yao
I. Atmosukarto
Indriyati Atmosukarto
J. Varadarajan
Jean Lahoud
Jianming Liang
Jinbo Bi
Joshua Peterson
Juan Carlos Niebles
Juan Carlos Niebles
K. Muthuswamy
Lama Affara
Liangliang Nan
M. Bernardine Dias
Marc Farra
Marcos Salganicoff
Matthias Mueller
Maya Kreidieh
Ming-Hsuan Yang
Mohamed Hachama
N. Ahuja
Narendra Ahuja
Neil Smith
Neil Smith and Bernard Ghanem
Peter Wonka
Qiang Ji
Rachit Dubey
S. Ahuja
S. Liu
Sara Shaheen
Shuicheng Yan
Shyamal Buch
Si Liu
Siwei Lyu
T. Zhang
Tianzhu Zhang
Victor Castillo
Victor Escorcia
Wayner Barrios
Wei Liu
Yongping Zhao
Yongqiang Li
Yuanhao Cao
Z. Hao
Z. Zhang
Zhenjie Zhang
Zhifeng Hao
Title Keyword
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3d detection
3D Tracker
3D Understanding
action detection
action proposals
action recognition
activity proposals
Adaptive Target Design
Aerial Object Tracking
American Football Plays
authorship recognition
Automatic Recognition
Benchmark
binary optimization
Boosting
Camera Placement
circulant sparse tracker
classification and classifier design
Classify
Coding
composite function minimization
Computer Graphics
Computer Vision
context-aware
Context-Aware Learning
Contextual Information
Convergence Analysis
Convex Optimization
Convolution Networks
convolutional sparse coding
convolutional sparse coding
correlation filter
Correlation Filter Tracking
Correlation Filters
Cost Estimation
Cross-Domain
Crowd behavior analysis
Dataset
Deep Learning
Depth Maps
detection
Dictionary Learning
Distance Learning
diverse
Dynamic Texture
Dynamic textures
efficient action detection
Eigenvalue Decomposition
Face action unit recognition
feature extraction
fft
Fisher Kernel Representation
Football Plays
Frank-Wolfe algorithm
fraud detection
Graph
homography
Human Fixation
Human Visual System Understanding
HVS
image annotation
Image Classification
Image Memorability
image rectification
Image Restoration
Incomplete data
Instance selection
Interest Point Detectors
Intrinsic Decomposition
IQM
Kernel Learning
Kurdyka-Łojasiewicz Inequality
l1 minimization
Landmark detection
Large Class
Large Scale
large-scale
lasso
LDS
Leading Eigenvector
line drawing
Localization.
long-short term memory
Low Rank Representation
Low Ranks
Low-Rank and Sparse Matrix Approximation
Low-Rank Optimization
Low-rank representation
Market-Based
matrix splitting method
Metric Learning
Missing Label
Missing Labels
Mixed Graph
Mobile Robot
Modeling
MPEC
MPEC formulation
Multi-label learning
multilayer perceptron
multiple instance learning
Multirobot Coordination
Multi-task Learning
Normalized Cuts
Object Memorability
object proposals
Object Tracking
Occlusion Detection
parametric reconstruction
Part-Based Tracker
particle filter
PCA
Phase
Pobabilistic Framework
Pose Estimation
Proximal ADM
QA
Rank-1 Approximation
registration
Represent
RGBD images
RGB-D Images
Robust Estimation
saliency
segmentation
semantic context cascade
Semidefinite Programming
Semidefinite Rank Minimization
Sensor Network Localization
single-stream
sketch
sketch drawing
sketch representation
sketch training
SLAM
Sparse Optimization
Sparse representation
Spatiotemporal analysis
stroke
stroke segments
stroke style transfer
Structure
Structured Sparse Learning
style
Submodular Minimization
Swarms
temporal action proposals
Temporal consistency
tensor voting
tensors
Texture Recognition
tracking
tsvd
UAV Aerial Tracking System
UAV Simulator
UAV Tracking
urban assets
Urban Reconstruction
video analysis
Vision Systems
Visual Attributes
visual tracking
X-ray CT
Total result(s) found:
2
Bernard Ghanem and Narendra Ahuja
"A Probabilistic Framework for Discriminative Dictionary Learning"
(arXiv e-print 2011 arXiv:1109.2389v1 [cs.CV])
Keywords:
Pobabilistic Framework, Dictionary Learning
Read More
Website
Download Document
Emre Akbas, Bernard Ghanem, and Narendra Ahuja
"MIS-Boost: Multiple Instance Selection Boosting"
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2012)
Keywords:
Image Classification, Large Class, Instance selection, Boosting
Read More
Website
Download Document
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2017
King Abdullah University of Science and Technology. All rights reserved.
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Image and Video Understanding Lab
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The beginning and end dates for each internship will be agreed upon between the Faculty and the Intern. Visa processing time will be a determining factor in actual start date. Minimum period is three months. Maximum period is six months.
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