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
Matthias Müller
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
Fatemeh Shiri
Fatih Porikli
Ganzhao Yuan
Gopal Sharma
Guohao Li
Hailin Jin
Hani Itani
Hongxun Yao
Humam Alwassel*
I. Atmosukarto
Indriyati Atmosukarto
J. Varadarajan
Jean Lahoud
Jens Schneider
Jesus Zarzar*
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
Marc Pollefeys
Marcos Salganicoff
Martin R. Oswald
Matthias Mueller
Matthias Mueller
Matthias Mueller*
Matthias Müller
Matthias Müller*
Maya Kreidieh
Mengmeng Xu
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
Rene Ranftl
Richard Hartley
S. Ahuja
S. Liu
Sally Sisi Qu
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
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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3d detection
3D reconstruction
3D Tracker
3D Tracking
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
controller fusion
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 gcn
Deep learning
deep networks
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
face frontalization
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
immitation learning
impulse noise
Incomplete data
instance segmentation
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
mutlitask metric learning
Normalized Cuts
object detection
Object Memorability
object proposals
object tracking
Occlusion Detection
optimization
optimization inspired deep networks
parametric reconstruction
part rcnn
Part-Based Tracker
particle filter
PCA
pedestrian detection
Phase
Pobabilistic Framework
Pose Estimation
probabilistic moments
Proximal ADM
proximal admm
Pseudo ground truth
QA
Rank-1 Approximation
registration
Regularization
Represent
RGBD images
RGB-D Images
RNNs
Robust Estimation
robustness
saliency
segmentation
semantic context cascade
Semidefinite Programming
Semidefinite Rank Minimization
Sensor Network Localization
Shape Completion
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 racing
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:
14
Sara Shaheen, Alyn Rockwood, and Bernard Ghanem
"SAR: Stroke Authorship Recognition"
Computer Graphics Forum 2015
[data]
Keywords:
sketch, stroke, stroke segments, style, authorship recognition, fraud detection, sketch training
Read More
Website
Download Document
Mohamed Hachama, Bernard Ghanem, and Peter Wonka
"
Intrinsic Scene Decomposition from RGB-D Images
"
International Conference on Computer Vision (ICCV 2015
[supplementary material]
[video]
Keywords:
Intrinsic Decomposition, RGB-D Images
Read More
Website
Download Document
Rachit Dubey, Joshua Peterson, Aditya Khosla, Ming-Hsuan Yang, and Bernard Ghanem
"What makes an object memorable?"
International Conference on Computer Vision (ICCV 2015)
[data]
[bibtex]
Keywords:
Image Memorability, Object Memorability, Deep Learning
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Website
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Baoyuan Wu, Siwei Lyu, and Bernard Ghanem
"
ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph
"
International Conference on Computer Vision (ICCV 2015)
[code]
Keywords:
Missing Label, Multi-label Learning, Mixed Graph
Read More
Website
Download Document
Adel Bibi and Bernard Ghanem
"
Multi-Template Scale Adaptive Kernelized Correlation Filters
"
International Conference on Computer Vision Workshop (ICCVW/VOT 2015)
[code]
[supplementary material]
Keywords:
Tracking, Correlation Filters
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Website
Download Document
Liangliang Nan, Caigui Jiang, Bernard Ghanem, Peter Wonka
"Template Assembly for Detailed Urban Reconstruction"
Eurographics (EG 2015)
[
suppl 1
] [
suppl 2
] [
video
] [
slides
]
Keywords:
Computer Graphics, Urban Reconstruction
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Website
Download Document
Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, and Ming-Hsuan Yang
“Structural Sparse Tracking”
Conference on Computer Vision and Pattern Recognition (CVPR 2015)
Keywords:
Tracking, Sparse Optimization
Read More
Website
Download Document
Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja
"Robust Visual Tracking via Exclusive Context Modeling"
IEEE Transactions on Cybernetics 2015
Keywords:
Tracking
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Bernard Ghanem, Ali Thabet, Juan Carlos Niebles, and Fabian Caba
“Robust Manhattan Frame Estimation from a Single RGB-D Image”
Conference on Computer Vision and Pattern Recognition (CVPR 2015)
[supplementary material]
[video]
[code]
[data]
Keywords:
Sparse Optimization, Robust Estimation
Read More
Website
Download Document
Victor Castillo, Juan Carlos Niebles, and Bernard Ghanem
“On the Relationship between Visual Attributes and Convolutional Networks”
Conference on Computer Vision and Pattern Recognition (CVPR 2015)
[supplementary material]
Keywords:
Visual Attributes, Convolution Networks
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Website
Download Document
Ganzhao Yuan and Bernard Ghanem
“L0TV : A New Method for Image Restoration in the Presence of Impulse Noise”
Conference on Computer Vision and Pattern Recognition (CVPR 2015)
[supplementary material]
[code]
[slides]
[
oral
]
Keywords:
Image Restoration, Sparse Optimization
Read More
Website
Download Document
Bernard Ghanem, Yuanhao Cao, Peter Wonka
"Designing Camera Networks by Convex Quadratic Programming"
Eurographics (EG 2015)
[video]
Keywords:
Camera Placement, Computer Graphics
Read More
Website
Download Document
Fabian Caba Heilbron, Victor Castillo,
Bernard Ghanem
, and Juan Carlos Niebles
“
ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding
”
Conference on Computer Vision and Pattern Recognition (CVPR 2015)
[supplementary material]
Keywords:
Action Recognition, Large Scale
Read More
Website
Download Document
Indriyati Atmosukarto,
Narendra Ahuja, Bernard Ghanem
"
Action Recognition using Discriminative Structured Trajectory Groups"
Winter Conference on Applications of Computer Vision (WACV 2015)
Keywords:
Action Recognition
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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