Image and Video Understanding Lab
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2019
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Sara Shaheen
Baoyuan Wu
Bernard Ghanem and Narendra Ahuja
Ganzhao Yuan
Matthias Mueller
Adel Bibi
Adel Bibi*
Aditya Khosla
Akshat Dave
Alexey Dosovitskiy
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
Basura Fernando
Bernard Ghanem
Bernard Ghanem
Bernard Ghanem and Narendra Ahuja
C.Xu
Caigui Jiang
Changsheng Xu
Cuong Dao-Duc*
Daniel Asmar
Dominik L. Michels
Emre Akbas
Esther Resendiz
Fabian Caba
Fabian Caba Heilbron
Fabian Caba Heilbron*
Fan Jia
Fatih Porikli
Ganzhao Yuan
Gopal Sharma
Hailin Jin
Hani Itani
Hongxun Yao
Humam Alwassel*
I. Atmosukarto
Indriyati Atmosukarto
J. Varadarajan
Jean Lahoud
Jens Schneider
Jia-Hong Huang
Jian Zhang
Jianming Liang
Jinbo Bi
Joon-Young Lee
Joshua Peterson
Juan Carlos Niebles
Juan Carlos Niebles
K. Muthuswamy
Lama Affara
Li Fei-Fei
Liangliang Nan
M. Bernardine Dias
Marc Farra
Marcos Salganicoff
Matthias Mueller
Matthias Mueller
Matthias Mueller*
Matthias Müller*
Maya Kreidieh
Ming-Hsuan Yang
Mingli Ding
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
Rafal Protasiuk
Richard Hartley
S. Ahuja
S. Liu
Salman Alsubaihi
Sara Shaheen
Shuicheng Yan
Shyamal Buch
Si Liu
Silvio Giancola
Silvio Giancola*
Siwei Lyu
Siwei Lyu
T. Zhang
Tarek Dghaily
Tianzhu Zhang
Victor Castillo
Victor Escorcia
Victor Escorcia*
Vincent Casser
Vincent Casser*
Vladlen Koltun
Wayner Barrios
Wei Liu
Weidong Chen
Xin Yu
Yaicheng Bai
Yancheng Bai
Yancheng Bai*
Yongping Zhao
Yongqiang Li
Yongqiang Zhang
Yongqiang Li
Yongqiang Zhang
Yongqiang Zhang*
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 localization
action proposals
action recognition
action spotting
active learning
activity proposals
Adaptive Target Design
Aerial Object Tracking
American Football Plays
authorship recognition
Automatic Recognition
autonomous driving
basic questions
benchmark
binary optimization
Boosting
Camera Placement
circulant sparse tracker
classification and classifier design
Classify
coco
Coding
color mapping
color transfer
composite function minimization
compressive sensing
Computer Graphics
computer vision
conditional imitaion learning
context-aware
Context-Aware Learning
Contextual Information
control
convergence
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
diagnosis tool
Dictionary Learning
Distance Learning
diverse
Dynamic Texture
Dynamic textures
efficient action detection
Eigenvalue Decomposition
error analysis
face
Face action unit recognition
face detection
facial component localization
feature extraction
fft
Fisher Kernel Representation
Football Plays
Frank-Wolfe algorithm
fraud detection
generative adversarial network
generative adverserial network
Graph
hallucination
homography
Human Fixation
Human Visual System Understanding
HVS
image annotation
Image Classification
Image Memorability
image rectification
image restoration
imitation learning
impulse noise
Incomplete data
Instance selection
Interest Point Detectors
Intrinsic Decomposition
ip networks convex functions
IQM
Iterative learning
Kernel Learning
kinectfusion
Kurdyka-Łojasiewicz Inequality
l0 norm optimization
l1 minimization
Landmark detection
Large Class
Large Scale
large-scale
lasso
LDS
Leading Eigenvector
line drawing
linear programming
Localization.
long-short term memory
Low Rank Representation
Low Ranks
Low-Rank and Sparse Matrix Approximation
Low-Rank Optimization
Low-rank representation
machine learning
Market-Based
matrix splitting method
Metric Learning
Missing Label
missing labels
mixed dependency graphs
Mixed Graph
Mobile Robot
Modeling
mpec
MPEC formulation
multi task neural networks
multi-label learning
multilayer perceptron
multiple instance learning
Multirobot Coordination
multi-task
Multi-task Learning
Normalized Cuts
Object detection
Object Memorability
object proposals
object tracking
Occlusion Detection
optimization
optimization inspired deep networks
parametric reconstruction
Part-Based Tracker
particle filter
PCA
Phase
Pobabilistic Framework
Pose Estimation
probabilistic moments
Proximal ADM
proximal admm
Pseudo ground truth
QA
Rank-1 Approximation
registration
Represent
RGBD images
RGB-D Images
RNNs
Robust Estimation
robustness
saliency
segmentation
semantic context cascade
Semidefinite Programming
Semidefinite Rank Minimization
Sensor Network Localization
sim-to-real
single-stream
sketch
sketch drawing
sketch representation
sketch training
SLAM
small object detection
Sparse Optimization
Sparse representation
Spatiotemporal analysis
sports videos
stroke
stroke segments
stroke style transfer
Structure
Structured Sparse Learning
style
Submodular Minimization
super resolution
super-resolution
Swarms
temporal action detection
temporal action localization
temporal action proposals
Temporal consistency
temporal localization
tensor voting
tensors
Texture Recognition
total variation
tracking
transfer learning
tsvd
uav
UAV Aerial Tracking System
UAV Simulator
UAV Tracking
underwater
urban assets
Urban Reconstruction
video analysis
video annotation
video understanding
Vision Systems
Visual Attributes
visual tracking
vqa
weak supervision
Weakly-supervised learning
X-ray CT
Total result(s) found:
9
Indriyati Atmosukarto, Bernard Ghanem, Narendra Ahuja
"Trajectory-based Fisher Kernel Representation for Action Recognition in Videos"
International Conference on Pattern Recognition (ICPR2012)
[
oral
]
Keywords:
Action Recognition, Fisher Kernel Representation
Read More
Website
Download Document
Tianzhu Zhang, Bernard Ghanem, Si Liu, and Narendra Ahuja
"Robust Visual Tracking via Multi-Task Sparse Learning"
IEEE Conference on Computer Vision and Pattern Recognition (CVPR2012)
[
oral
]
Keywords:
Visual Tracking, Sparse Representation
Read More
Website
Download Document
Bernard Ghanem, Tianzhu Zhang, and Narendra Ahuja
"Robust Video Registration Applied to Field-Sports Video Analysis"
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012)
Keywords:
registration, homography, l1 minimization, sparse representation
Read More
Website
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Tianzhu Zhang, Bernard Ghanem, and Narendra Ahuja
"Robust Multi-Object Tracking Via Cross-Domain Contextual Information For Sports Video Analysis"
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012)
Keywords:
Tracking, Particle Filter, Cross-Domain, Contextual Information
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Bernard Ghanem and Narendra Ahuja
"Modeling Dynamic Swarms"
Journal of Computer Vision and Image Understanding (CVIU 2012) (arXiv e-print 2011 arXiv:1102.1292v1 [cs.CV])
Keywords:
Swarms, Dynamic textures, Crowd behavior analysis, Spatiotemporal analysis
Read More
Website
Download Document
Tianzhu Zhang, Bernard Ghanem, and Narendra Ahuja
"Low-Rank Sparse Learning for Robust Visual Tracking"
European Conference on Computer Vision (ECCV2012)
Keywords:
Visual Tracking, Low Rank Representation, Sparse Representation
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Website
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Ganzhao Yuan, Zhenjie Zhang*, Bernard Ghanem*, and Zhifeng Hao
"Low-Rank Quadratic Semidefinite Programming"
Neurocomputing Journal 2012
Keywords:
Semidefinite Programming, Metric Learning, Kernel Learning, Eigenvalue Decomposition, Low-Rank and Sparse Matrix Approximation
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Akshat Dave*, Rachit Dubey*, Bernard Ghanem
"Do Humans Fixate on Interest Points?"
International Conference on Pattern Recognition (ICPR2012)
[
oral
]
Keywords:
Vision Systems, Interest Point Detectors
Read More
Website
Download Document
Bernard Ghanem, Maya Kreidieh*, Marc Farra*, Tianzhu Zhang
"Context-Aware Learning for Automatic Sports Highlight Recognition"
International Conference on Pattern Recognition (ICPR2012)
Keywords:
Context-Aware Learning
Read More
Website
Download Document
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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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