Image and Video Understanding Lab
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2018
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Sara Shaheen
Baoyuan Wu
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
Baoyuan Wu
Bernard Ghanem
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
Jens Schneider
Jian Zhang
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
Mingli Ding
Modar Alfadly
Mohamed Hachama
Mohieddine Amine
N. Ahuja
Narendra Ahuja
Neil Smith
Neil Smith and Bernard Ghanem
Peng Sun
Peter Wonka
Qiang Ji
Rachit Dubey
S. Ahuja
S. Liu
Sara Shaheen
Shuicheng Yan
Shyamal Buch
Si Liu
Silvio Giancola
Siwei Lyu
Siwei Lyu
T. Zhang
Tarek Dghaily
Tianzhu Zhang
Victor Castillo
Victor Escorcia
Vincent Casser
Wayner Barrios
Wei Liu
Weidong Chen
Yancheng Bai
Yongping Zhao
Yongqiang Li
Yongqiang Zhang
Yongqiang Li
Yuanhao Cao
Z. Hao
Z. Zhang
Zhenjie Zhang
Zhifeng Hao
Title Keyword
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All
3d detection
3D reconstruction
3D Tracker
3D Understanding
action detection
action proposals
action recognition
action spotting
activity proposals
Adaptive Target Design
Aerial Object Tracking
American Football Plays
authorship recognition
Automatic Recognition
autonomous driving
Benchmark
binary optimization
Boosting
Camera Placement
circulant sparse tracker
classification and classifier design
Classify
Coding
composite function minimization
compressive sensing
Computer Graphics
Computer Vision
conditional imitaion learning
context-aware
Context-Aware Learning
Contextual Information
Convergence Analysis
Convex Optimization
Convolution Networks
convolutional neural networks
convolutional sparse coding
convolutional sparse coding
correlation filter
Correlation Filter Tracking
Correlation Filters
Cost Estimation
Cross-Domain
Crowd behavior analysis
Dataset
Deep Learning
deep neural network
Depth Maps
detection
Dictionary Learning
Distance Learning
diverse
Dynamic Texture
Dynamic textures
efficient action detection
Eigenvalue Decomposition
Face action unit recognition
face detection
feature extraction
fft
Fisher Kernel Representation
Football Plays
Frank-Wolfe algorithm
fraud detection
generative adverserial network
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
kinectfusion
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 dependency graphs
Mixed Graph
Mobile Robot
Modeling
MPEC
MPEC formulation
multi-label learning
multilayer perceptron
multiple instance learning
Multirobot Coordination
Multi-task Learning
Normalized Cuts
object detection
Object Memorability
object proposals
Object Tracking
Occlusion Detection
optimization inspired deep networks
parametric reconstruction
Part-Based Tracker
particle filter
PCA
Phase
Pobabilistic Framework
Pose Estimation
probabilistic moments
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
sports videos
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
weak supervision
X-ray CT
Total result(s) found:
11
Matthias Mueller, Gopal Sharma, Neil Smith and Bernard Ghanem
"
Persistent Aerial Tracking System for UAVs
"
Intelligent Robots and Systems (IROS 2016)
[bibtex]
[video]
Keywords:
UAV Aerial Tracking System
Read More
Website
Download Document
Victor Escorcia, Fabian Caba, Juan Carlos Niebles, Bernard Ghanem
"DAPs: Deep Action Proposals for Action Understanding"
European Conference on Computer Vision (ECCV 2016)
[code]
Keywords:
action proposals, action detection, long-short term memory
Read More
Website
Download Document
Adel Bibi, Matthias Mueller, Bernard Ghanem
"Target Response Adaptation for Correlation Filter Tracking"
European Conference on Computer Vision (ECCV 2016)
[supplementary material]
[Code]
[Video]
[
Spotlight
]
Keywords:
Correlation Filter Tracking, Adaptive Target Design
Read More
Website
Download Document
Lama Affara, Liangliang Nan, Bernard Ghanem, Peter Wonka
"Large Scale Asset Extraction for Urban Images"
European Conference on Computer Vision (ECCV 2016)
[supplementary material]
[video]
[code]
Keywords:
urban assets, object proposals, image rectification
Read More
Website
Download Document
Matthias Mueller, Neil Smith and Bernard Ghanem
"A Benchmark and Simulator for UAV Tracking"
European Conference on Computer Vision (ECCV 2016)
[bibtex
]
[dataset]
[simulator]
[supplementary material]
Keywords:
UAV Tracking, UAV Simulator, Aerial Object Tracking, Benchmark, Dataset
Read More
Website
Download Document
Yongqiang Li, Baoyuan Wu (corresponding author), Bernard Ghanem, Yongping
Zhao, Hongxun Yao, Qiang Ji
“Facial Action Unit Recognition under Incomplete Data
Based on Multi-label Learning with Missing Labels”
Pattern Recognition, 2016
Keywords:
Face action unit recognition, Incomplete data, Multi-label learning
Read More
Website
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Tianzhu Zhang, Adel Bibi, and Bernard Ghanem
"In Defense of Sparse Tracking: Circulant Sparse Tracker"
Conference on Computer Vision and Pattern Recognition (CVPR 2016)
[
Derivation
]
[supplementary material]
[Derivation]
[video]
[
Spotlight
]
Keywords:
visual tracking, circulant sparse tracker
Read More
Website
Download Document
Fabian Caba, Juan Carlos Niebles, and Bernard Ghanem
"Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos"
Conference on Computer Vision and Pattern Recognition (CVPR 2016)
[supplementary material]
[code]
Keywords:
activity proposals, action recognition, video analysis
Read More
Website
Download Document
Adel Bibi, Tianzhu Zhang, and Bernard Ghanem
"3D Part-Based Sparse Tracker with Automatic Synchronization and Registration"
Conference on Computer Vision and Pattern Recognition (CVPR 2016)
[video]
Keywords:
3D Tracker, Part-Based Tracker, particle filter
Read More
Website
Download Document
Ganzhao Yuan and Bernard Ghanem
"A Proximal Alternating Direction Method for Semi-Definite Rank Minimization"
AAAI Conference on Artificial Intelligence (AAAI 2016)
[code]
[supplementary material]
Keywords:
Semidefinite Rank Minimization, MPEC, Sensor Network Localization, Kurdyka-Łojasiewicz Inequality, Proximal ADM, Convergence Analysis
Read More
Website
Download Document
Baoyuan Wu, Siwei Lyu, Bernard Ghanem
"
Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning
"
The Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016 )
[code]
[supplementary material]
Keywords:
Submodular Minimization, Missing Labels, Multi-label Learning
Read More
Website
Download Document
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2018
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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