Tuesday Posters

Posters 1A  8:30-10:00

Posters 1B 1:30-3:00

Posters 1C 5:10-6:30


Posters 1A  Statistical Methods and Learning - 8:30-10:00 Foothills/Atrium/Pikes Peak
A Direct Formulation for Totally-corrective Multi-class Boosting Chunhua Shen (NICTA); Zhihui Hao (Beijing Institute of Technology); 
A Probabilistic Representation for Efficient Large Scale Visual Recognition Tasks Subhabrata Bhattacharya (UCF); Rahul Sukthankar;Rong Jin (Michigan State University); Mubarak Shah (UCF); 
A Scalable Dual Approach to Semidefinite Metric Learning Chunhua Shen (NICTA); Junae Kim (Australian National University); Lei Wang (Australian National University); 
AdaBoost on Low-Rank PSD Matrices for Metric Learning with Applications in Computer Aided Diagnosis Jinbo Bi (University of Connecticut); Dijia Wu;Le Lu (Siemens ); Meizhu Liu;Yimo Tao;Matthias Wolf;
Bayesian Deblurring with Integrated Noise Estimation Uwe Schmidt (TU Darmstadt); Kevin Schelten (TU Darmstadt); Stefan Roth;
Comparing Data-Dependent and Data-Independent Embeddings for Classification and Ranking of Internet Images Yunchao Gong (UNC Chapel Hill); Svetlana Lazebnik (University of North Carolina at Chapel Hill); 
Connecting Non-Quadratic Variational Models and MRFs Kevin Schelten (TU Darmstadt); Stefan Roth;
Dynamic Batch Mode Active Learning Shayok Chakraborty (Arizona State University); Vineeth Balasubramanian (Arizona State University); Sethuraman Panchanathan (Arizona State University); 
Natural Image Denoising: Optimality and Inherent Bounds  Anat Levin (Weizmann Institute of Science); Boaz Nadler (Weizmann Inst of Science); 
From Region Similarity to Category Discovery Carolina Galleguillos (U.C San Diego); Brian McFee (U.C San Diego); Serge Belongie (UCSD); Gert Lanckriet (U.C San Diego); 
Gated Classifiers: Boosting under High Intra-Class Variation Oscar Danielsson (KTH); Babak Rasolzadeh (KTH); Stefan Carlsson (KTH); 
Generalized Gaussian Process Models Antoni Chan (City University of Hong Kong); Daxiang Dong (Hong Kong University of Science and Technology); 
Generalized Projection Based M-Estimator: Theory and Applications Sushil Mittal (Rutgers University); Saket Anand (Rutgers University); Peter Meer (Rutgers University); 
Geometric $\ell_p$-norm Feature Pooling for Image Classification Jiashi Feng (NUS); Bingbing Ni;Qi Tian (University of Texas at San Antonio); Shuicheng Yan;
Graph Embedding Discriminant Analysis on Grassmannian Manifolds for Improved Image Set Matching Mehrtash Harandi (NICTA); Sareh  Shirazi (National ICT Australia (NICTA)); Conrad  Sanderson (National ICT Australia (NICTA)); Brian Lovell;
Hybrid Generative-Discriminative Classification using Posterior Divergence Xiong Li (Shanghai Jiao Tong University); Tai Sing Lee (Department of Computer Science, Carnegie Mellon University); Yuncai  Liu (Department of Automation, Shanghai Jiao Tong University); 
Learning Better Image Representations Using `Flobject Analysis' Inmar Givoni (University of Toronto); Patrick Li (University of Toronto); Brendan Frey (University of Toronto); 
Learning invariance through imitation Graham Taylor;Ian Spiro (New York University); Rob Fergus;Christoph Bregler (NYU); 
Learning Message-Passing Inference Machines for Structured Prediction Stephane Ross (Carnegie Mellon University); Daniel Munoz (Carnegie Mellon University); J. Andrew Bagnell (Carnegie Mellon University); 
Learning Non-Local Range Markov Random Field for Image Restoration Jian Sun (Xi'an Jiaotong University); Marshall Tappen;
Learning Transformation Invariant Representations from weakly-related Videos Christian Leistner (icg tugraz); Martin Godec;Samuel Schulter;Manuel Werlberger;Amir Saffari;Horst Bischof;
Local Isomorphism to Solve the Pre-image Problem in Kernel Methods Dong Huang (Carnegie Mellon University); Yuandong Tian (Carnegie Mellon University); Fernando DelaTorre;
Max-margin Clustering: Detecting Margins from Projections of Points on Lines Raghuraman Gopalan (University of Maryland); Jagan Sankaranarayanan;
Mining Discriminative Co-occurrence Patterns for Visual Recognition Junsong Yuan (Nanyang Technological University); Ming Yang (NEC Laboratories America); Ying Wu (Northwestern University); 
MKPM: a multiclass extension of the Kernel Projection Machine Sylvain Takerkart (CNRS); Liva Ralaivola (LIF); 
Modeling the joint density of two images under a variety of transformations Joshua Susskind (University of Toronto); Roland Memisevic;Geoffrey Hinton (University of Toronto); Marc Pollefeys;
Multi-label Learning with Incomplete Class Assignments Serhat Bucak (Michigan State University); Rong Jin (Michigan State University); Anil Jain (Michigan State University); 
Multi-layer Group Sparse Coding -- for Concurrent  Image Classification and Annotation Shenghua Gao (Nanyang Technological Univ.); Liang-Tien Chia (Nanyang Technological University); Ivor W. Tsang;
Multifactor Analysis Based on Factor-Dependent Geometry Sung Won Park (Carnegie Mellon University); 
Multiscale Geometric and Spectral Analysis of Plane Arrangements Guangliang Chen (Duke University); Mauro Maggioni;
Non-negative Matrix Factorization as a Feature Selection Tool for Maximum Margin Classifiers Mithun Gupta (GE); Jing Xiao (Epson R&D); 
Nonnegative Sparse Coding for Discriminative Semi-supervised Learning Ran He (Institute of Automation Chines); Wei-Shi Zheng (Queen Mary University of London); 
On Deep Generative Models with Applications to Recognition Marc'Aurelio Ranzato;Joshua Susskind (University of Toronto); Volodymyr Mnih (University of Toronto); Geoffrey Hinton (University of Toronto); 
Online Group-Structured Dictionary Learning Zoltan Szabo (Eotvos Lorand University); Barnabas Poczos (Carnegie Mellon University); Andras Lorincz (Eotvos Lorand University); 
Particle Filter with State Permutations for Solving Image Jigsaw Puzzles Xingwei Yang (Temple University); Nagesh Adluru;LonginJan Latecki;
Recovery of Corrupted Low-Rank Matrices via Half-Quadratic based Nonconvex Minimization Ran He (Institute of Automation Chines); zhenan sun ( Institute of Automation Chinese Academy of Sciences); Tieniu Tan;Wei-Shi Zheng (Queen Mary University of London); 
Robust and Efficient Regularized Boosting Using Total Bregman Divergence Meizhu Liu (University of Florida); Baba Vemuri;
Sparse Concept Coding for Visual Analysis Deng Cai;Xiaofei He;
Sparse Image Representation with Epitomes Louise Benoit (ENS); Julien Mairal;Francis Bach (INRIA); Jean Ponce;
Supervised Local Subspace Learning for Continuous Head Pose Estimation Dong Huang (Carnegie Mellon University); Markus Storer (Graz University of Technology ); Fernando DelaTorre;Horst Bischof;
TaylorBoost: First and Second-order Boosting Algorithms with Explicit Margin Control Mohammad Saberian (UC San Diego); Hamed Masnadi-Shirazi (UC San Diego); Nuno Vasconcelos;
Truncated Message Passing Justin Domke;
Visual textures as realizations of multivariate log-Gaussian Cox processes Huu-Giao Nguyen (Telecom Bretgane); Ronan Fablet (Institut Telecom / Telecom Bretagne); Jean-Marc Boucher (Institut Telecom / Telecom Bretagne); 



Posters 1B  Color and Texture, Document Analysis, Segmentation and Grouping, 1:30-3:00  Foothills/Atrium/Pikes Peak
An $L_1$-based variational model for Retinex theory and its application to medical images Wenye Ma (UCLA); Jean-Michel Morel (CMLA); Stanley Osher (UCLA); Aichi Chien (UCLA); 
Inertial sensor-aligned visual feature descriptors Daniel Kurz (Metaio); Selim Ben Himane (metaio GmbH); 
Learning Object Color Models from Multi-view Constraints Trevor Owens (UC Berkeley); Kate Saenko;Trevor Darrell (ICSI, UC Berkeley); Ayan Chakrabarti;Todd Zickler;
Multi-spectral SIFT for Scene Category Recognition Matthew Brown;Sabine Susstrunk (EPFL); 
Statistics of Real-World Hyperspectral Images Ayan Chakrabarti;Todd Zickler;
Unsupervised Local Color Correction for Coarsely Registered Images Miguel Riem de Oliveira (University of Aveiro); Angel Sappa (Computer Vision Center); Vitor Santos (University of Aveiro, Portugal); 
Efficient approximations to the marginal likelihood in blind deconvolution Anat Levin (Weizmann Institute of Science); Yair Weiss;Bill Freeman;Fredo Durand (MIT); 
An effective document image deblurring algorithm Xiao-gang Chen (Shanghai Jiao Tong University ); Xiangjian He (University of Technology, Syd); Jie Yang (Shanghai Jiaotong University); Qiang Wu (UTS); 
Registration of Camera Captured Documents Under Non-rigid Deformation Venkata Edupuganti (Dept. of CS, NJIT); Suryaprakash Kompalli (Hewlett Packard Labs); Vinayak  Agarwal (Hewlet Packard Labs, India); 
Style Transfer Matrix Learning for Unsupervised Writer Adaptation Xu-Yao Zhang (National Laboratory of Pattern Recognition, Chinese Academy of Sciences); Cheng-Lin Liu (CASIA); 
A Global Optimization Approach to Robust Multi-Model Fitting Jin Yu (The University of Adelaide); Tat-Jun Chin (The University of Adelaide); David Suter;
A Global Sampling Method for Alpha Matting Kaiming He (CUHK); Christoph Rhemann (Vienna University of Technolog); Carsten Rother;Xiaoou Tang;Jian Sun;
Biased Normalized Cuts Subhransu Maji;Nisheeth  Vishnoi (Microsoft Research, India); Jitendra Malik (UC Berkeley); 
Contour cut: identifying salient contours in images by solving a Hermitian eigenvalue problem Ryan Kennedy (University of Pennsylvania); Jean Gallier;Jianbo Shi;
Detection Free Tracking: Exploiting Motion and Topology for Segmenting and Tracking under Entanglement. Katerina Fragkiadaki (University of Pennsylvania); Jianbo Shi;
Efficient MCMC Sampling with Implicit Shape Representations Jason Chang (MIT); John Fisher III (MIT); 
Enforcing topological constraints in random field image segmentation Chao Chen (IST Austria); Daniel Freedman (HP Labs Israel); Christoph Lampert (I.S.T. Austria); 
Entropy Rate Superpixel Segmentation Ming-Yu Liu (Umd.edu,merl.com); Oncel Tuzel (MERL); Srikumar  Ramalingam (MERL); Rama Chellappa (UMD); 
Foreground Segmentation of Live Videos using Locally Competing 1SVMs Minglun Gong;Li Cheng (Bioinformatics Institute); 
Foreground-Background Segmentation using Iterated Distribution Matching Viet Pham (University of Tokyo); Keita Takahashi (The University of Tokyo); Takeshi Naemura (The University of Tokyo); 
From Active Contours to Active Surfaces Akshaya Mishra (Tornado Medical System); Paul Fieguth (University of Waterloo); David Clausi (University of Waterloo); 
From Co-saliency to Co-segmentation: An Efficient and Fully Unsupervised Energy Minimization Model Kai-Yueh Chang (National Tsing Hua University); Tyng-Luh Liu;Shang-Hong Lai (NTHU); 
Graph Connectivity In Sparse Subspace Clustering Behrooz Nasihatkon (Australian National University); Richard Hartley;
Heat-Mapping: A Robust Approach Toward Perceptually Consistent Mesh Segmentation Yi  Fang (Purdue University); Mengtian Sun (Purdue University); Karthik Ramani (Purdue University); 
Learning to Find Occlusion Regions Ahmad Humayun (UCL); Oisin Mac Aodha (UCL); Gabriel Brostow;
Majorization-Minimization mixture model determination in image segmentation Giorgos Sfikas (University of Strasbourg); Christophoros Nikou (University of Ioannina); Nikos Galatsanos (University of Patras); Christian Heinrich (University of Strasbourg); 
Modelling composite shapes by Gibbs Random Fields Dmitrij Schlesinger;Boris Flach (Czech technical University Prague); 
Nonlocal Matting Philip Lee (Northwestern University); Ying Wu (Northwestern University); 
Nonparametric Density Estimation on A Graph: Learning Framework, Fast Approximation and Application in Image Segmentation Zhiding Yu (HKUST); Oscar Au (HKUST); Ketan Tang (HKUST); 
O(N) Implicit Subspace Embedding for Unsupervised Multi-scale Image Segmentation Hongbo Zhou (SIUC); Qiang Cheng (SIUC); 
Object Cosegmentation Sara Vicente (UCL); Carsten Rother;Vladimir Kolmogorov;
Object Segmentation by Alignment of Poselet Activations to Image Contours Thomas Brox (Albert-Ludwigs-University Freiburg); Lubomir Bourdev (UC Berkeley); Subhransu Maji;Jitendra Malik (UC Berkeley); 
Partial similarity based nonparametric scene parsing in certain environment Honghui Zhang (HKUST); Long Quan;
Segment an Image by Looking into an Image Corpus Xiaobai Liu (Hust.edu.cn); Jiashi Feng (NUS); Shuicheng Yan;Hai Jin (hust.edu.cn); 
Semi-Supervised Video Segmentation Ignas Budvytis (Cambridge University); Vijay Badrinarayanan;Roberto Cipolla (Cambridge University); 
Shape Based Pedestrian Parsing Yihang Bo (Beijing Jiaotong University, Beijing,China); Charless Fowlkes (UC Irvine); 
Shape Grammar Parsing via Reinforcement Learning Olivier Teboul (Ecole Centrale Paris); Iasonas Kokkinos;Panagiotis Koutsourakis (Ecole Centrale Paris); Loic Simon (ECP); Nikos Paragios;
Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation Alex Shyr (UC Berkeley); Trevor Darrell (ICSI, UC Berkeley); Michael Jordan (UC Berkeley); Raquel Urtasun;
Supervised Hypergraph Labeling Toufiq Parag;Ahmed Elgammal;
Time and Space Efficient Spectral Clustering via Column Sampling Mu Li (Shanghai Jiao Tong University); Xiao-Chen Lian;James Kwok (HKUST); Bao-Liang Lu;
Unsing Ripley's K-function to Improve Graph-Based Clustering Techniques Kevin Streib (Ohio State University); Jim Davis;
Using Global Bag of Features Models in Random Fields for Joint Categorization and Segmentation of Objects Dheeraj Singaraju;René Vidal;


Posters 1C Object Recognition; Image based Modeling; Human ID 5:10 - 6:30  Foothills/Atrium/Pikes Peak

A Generalized Probabilistic Framework for Compact Codebook Creation Lingqiao Liu (Australian National University); Lei Wang (Australian National University); Chunhua Shen (NICTA); 
Are Sparse Representations Really Relevant for Image Classification? Roberto Rigamonti (EPFL); Matthew Brown (EPFL); Vincent Lepetit;
Classification with Invariant Scattering Joan Bruna (Ecole Polytechnique); Stéphane Mallat (École Polytechnique); 
Clues from the Beaten Path: Location Estimation with Bursty Sequences of Tourist Photos Chao-Yeh Chen (University of Texas at Austin); Kristen Grauman;
Combining Randomization and Discrimination for Fine-Grained Image Categorization Bangpeng Yao (Stanford University); Aditya Khosla;Li Fei-Fei;
Contextualizing Object Detection and Classification Zheng Song (National University of Singapo); Qiang Chen (National Univ. of Singapore); Zhongyang  Huang (Panasonic Singapore Laboratories); Yang Hua (PSL); Shuicheng Yan;
Deformation and Illumination Invariant Feature Point Descriptor Francesc Moreno (Institut de Robotica i Informatica Industrial (UPC/CSIC)); 
Discriminative Affine Sparse Codes for Image Classification Naveen Kulkarni (Student); Baoxin Li;
Discriminative Spatial Pyramid Tatsuya Harada (The Univ. of Tokyo); Yoshitaka Ushiku (Grad. School of Information Sc); Yuya Yamashita (The Univ. of Tokyo); Yasuo Kuniyoshi (The Univ. of Tokyo); 
Efficient Euclidean Distance Transform Using Perpendicular Bisector Segmentation Jun Wang (Peking University); Ying Tan (Peking University); 
Hyper-graph Matching Via Reweighted Random Walks Jungmin Lee (Seoul National University); Minsu Cho;Kyoung Mu Lee (Seoul National Uniersity); 
Exploring Knowledge Transfer and Zero-Shot Learning in a Large-Scale Setting Marcus Rohrbach (MPI Informatics); Bernt Schiele  (MPI Informatics); Michael Stark (MPI Informatics); 
Exploring Relations of Visual Codes for Image Classification yongzhen Huang;Kaiqi Huang (NLPR,CASIA); Tieniu Tan;
High Level Describable Attributes for Predicting Aesthetics and Interestingness Sagnik Dhar (Stony Brook University); Vicente Ordonez (Stony Brook University); Tamara Berg (Stony Brook University); 
High-Dimensional Signature Compression for Large-Scale Image Classification Jorge Sanchez (CIII); Florent Perronnin;
Image Classification by Non-Negative Sparse Coding, Low-Rank and Sparse Decomposition Chunjie Zhang (Institute of Automation); Jing Liu;Qi Tian (University of Texas at San Antonio); changsheng Xu;Hanqing Lu;Songde Ma;
Interactively Building a Discriminative Vocabulary of Nameable Attributes Devi Parikh;Kristen Grauman;
Large-scale image classification:  fast feature extraction and SVM training Yuanqing Lin (NEC Labs America); Fengjun Lv (NEC Labs America); Shenghuo Zhu (NEC Laboratories America); Ming Yang (NEC Laboratories America); Timothee Cour (NEC Labs America); Kai Yu;Liangliang Cao (UIUC); Thomas Huang (UIUC); 
Learning A Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD Zhuolin Jiang (University of Maryland); Zhe Lin (Adobe Systems, Inc.); Larry Davis;
Learning Hierarchical Poselets for Human Parsing Yang Wang;Duan Tran (UIUC); Zicheng Liao (UIUC); 
Learning Image Representations from Pixel Level via Hierarchical Sparse Coding Kai  Yu (NEC Labs America); Yuanqing Lin (NEC Labs America); John Lafferty (CMU); 
Learning the Easy Things First: Self-Paced Visual Category Discovery Yong Jae Lee (University of Texas at Austin); Kristen Grauman;
Object Recognition with Hierarchical Kernel Descriptors Liefeng Bo (university of washington); Kevin Lai;Xiaofeng Ren;Dieter Fox;
Rank-SIFT: Learning to Rank Local Interest Points Bing Li (Shanghai JiaoTong Univerisity); Rong Xiao;Zhiwei Li (Microsoft); Rui Cai (Microsoft Research, Asia); Bao-Liang Lu;Lei Zhang (Microsoft Research Asia); 
Salient Coding for Image Classification yongzhen Huang;Kaiqi Huang (NLPR,CASIA); Tieniu Tan;
Sharing Features Between Objects and Their Attributes Sung Ju Hwang;Fei Sha;Kristen Grauman;
Spatial-DiscLDA for Visual Recognition Zhenxing Niu (Xidian university); Gang Hua (IBM Research T. J. Watson Center); Xinbo Gao;Qi Tian (University of Texas at San Antonio); 
Visual and Semantic Similarity in ImageNet Thomas Deselaers (ETH Zurich/Google); Vittorio Ferrari;
Where's Waldo: Matching People in Images of Crowds Rahul Garg (University of Washington); Deva Ramanan;Steve Seitz;Noah Snavely;
A Complete Statistical Inverse Ray Tracing Approach to Multi-view Stereo  Shubao Liu (Brown University); David Cooper (Brown University); 
A general method for the Point of Regard estimation in 3D space Fiora Pirri (Sapienza Università di Roma); Matia Pizzoli (Sapienza Università di Roma); Alessandro Rudi (Sapienza Università di Roma); 
Adapted Gaussian Models for Image Classification Mandar Dixit (UC San Diego); Nikhil Rasiwasia (UCSD); Nuno Vasconcelos;
Capturing Time-of-Flight Data with Confidence Malcolm Reynolds (University College London); Jozef Doboš (University College London); Leto Peel (BAE Systems); Tim Weyrich (University College London); Gabriel Brostow;
Extracting Vanishing Points across Multiple Views Michael Hornacek (VRVis Research Center); Stefan Maierhofer (VRVis); 
Feature Context for Image Classification and Object Detection Xinggang Wang (Huazhong Univ. of Sci. & Tech.); Xiang Bai (Huazhong University of Science and Technology); Wenyu Liu (Huazhong University of Science and Technology); LonginJan Latecki;
High-quality shape from multi-view stereo and shading under general illumination Chenglei Wu (Max Planck Institut Informatik); Bennett Wilburn;Yasuyuki Matsushita;Christian Theobalt;
Linearity of Each Channel Pixel Values from a Surface in and out of Shadows and Its Applications Dong Tian (Sia); dong tang (sia.ac); 
Reconstruction of relief objects from line drawings Michael Kolomenkin (Technion); George Leifman (Technion); Ilan Shimshoni;Ayellet Tal (Technion); 
Topology-adaptive Multi-view Photometric Stereo Yusuke Yoshiyasu (Keio University); 
Translation Symmetry Detection in a Fronto-parallel View Peng ZHAO (HKUST); Long Quan;
Person Re-identification by Probabilistic Relative Distance Comparison Wei-Shi Zheng (QUEEN MARY UNIVERSITY OF LONDO); Shaogang Gong;Tao Xiang;
Simultaneous Dimensionality Reduction and Human Age Estimation via Kernel Partial Least Squares Regression Guodong Guo;Guowang Mu (Hebei University of Technology);