2014cvpr视觉跟踪部分



Accepted Orals
Multi-Object Tracking via Constrained Sequential Labeling	Sheng Chen*, Oregon State University; Alan Fern, Oregon State University; Sinisa Todorovic, Oregon State University
BING: Binarized Normed Gradients for Objectness Estimation at 300fps	Ming-Ming Cheng*, Oxford Brookes University; Ziming Zhang, ; Wen-Yan Lin, Oxford Brookes University; philip Torr, University of Oxford
Realtime and Robust Hand Tracking from Depth	Chen Qian, CUHK; Xiao Sun, Microsoft Research Asia; Yichen Wei*, Microsoft Research Asia; Xiaoou Tang, Chinese University of Hong Kong; Jian Sun,
Grassmann Averages for Scalable Robust PCA	Soren Hauberg*, Max Planck Institute; Aasa Feragen, University of Copenhagen; Michael Black, Max Planck
L0 norm based dictionary learning method with global convergence	Chenglong Bao, nus.edu.sg; Hui Ji*, Natl Univ Singapore; Yuhui Quan, nus.edu.sg; Zuowei Shen, nus.edu.sg
Adaptive Color Attributes for Real-Time Visual Tracking	Martin Danelljan*, CVL, Linköping University; Fahad Shahbaz Khan, CVL; Linkoping University; Michael Felsberg, Linköping University; Joost van de Weijer, Computer Vision Center Barcelona
Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction	Chen Chen*, UT Arlington; Junzhou Huang, ; Lei He,
Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks	Maxime Oquab*, Microsoft Research; Ivan Laptev, ; Leon Bottou, Microsoft Research; Josef Sivic, INRIA
Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-rank Matrices	Xianbiao Shu*, University of Illinois; Fatih Porikli, Australian National University; Narendra Ahuja, University of Illinois at Urbana-Champaign
Convolutional Neural Networks for No-Reference Image Quality Assessment	Le Kang*, University of Maryland; Peng Ye, University of Maryland; Yi Li, NICTA; David Doermann, University of Maryland
Dirichlet-based Histogram Feature Transform for Image Classification	Takumi Kobayashi*, National Institute of AIST
Large-scale Video Classification using Convolutional Neural Networks	Andrej Karpathy*, Stanford; Sanketh Shetty, Google; George Toderici, Google; Rahul Sukthankar, Google; Thomas Leung, Google; Li Fei-Fei, Stanford University
Accepted Posters
From Categories to Individuals in Real Time --- A Unified Boosting Approach	David Hall*, CalTech; Pietro Perona, California Institute of Technology
Newton Greedy Pursuit: a Quadratic Approximation Method for Sparsity-Constrained Optimization	Xiao-Tong Yuan*, Rutgers University; Qingshan Liu, Nanjing University of Information Science and Technology
Scalable 3D Tracking of Multiple Interacting Objects	Nikolaos Kyriazis*, Institute of Computer Science,; Antonis Argyros,
Interval Tracker: Tracking by Interval Analysis	Junseok Kwon, ETHZ; Kyoung Mu Lee*, Seoul National University
Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization	Wonsik Kim, Seoul National University; Kyoung Mu Lee*, Seoul National University
Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification	Yadong MU*, Columbia University; Gang Hua, Stevens Institute of Technology; Wei Fan, ; Shi-Fu Chang, Columbia University
Quality-based Multimodal Classification Using Tree-Structured Sparsity	Soheil Bahrampour, Penn State University; Asok Ray*, Pennsylvania State University; nasser Nasrabadi, ; Kenneth Jenkins, Pennsylvania State University
Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Electromagnetic Tracking	Ying Wan, ; Xiongbiao Luo*, Nagoya University; Sean He, University of Technology Sydney; Jie Yang, ; Terry Peters, Robarts Research Institute, Western University; kensaku Mori, Nagoya Unviversity
Learning an image-based motion context for multiple people tracking	Laura Leal-Taixé*, Leibniz University Hannover; Michele Fenzi, Leibniz University Hannover; Alina Kuznetsova, Leibniz University Hannover; Bodo Rosenhahn, ; Silvio Savarese, Stanford University
Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning	Seung-Hwan Bae*, GIST; Kuk-Jin Yoon, GIST
Incremental Learning of NCM Forests for Large-Scale Image Classification	Marko Ristin*, ETH Zurich; Matthieu Guillaumin, ETH; Juergen Gall, University of Bonn; Luc Van Gool, ETH
Tracklet Association with Online Reidentification in Network Flow Optimaiztion for Long-term Multi-Person Tracking	BING WANG*, NTU; Gang Wang, NTU; Kap Luk Chan, NTU; LI WANG, NTU
Persistent Tracking for Wide Area Aerial Surveillance	Jan Prokaj*, J Gradient; Gerard Medioni, USC
Multiple Target Tracking Based on Hierarchical Relation Hypergraph	Longyin Wen*, Ia.ac.cn; Wenbo Li, tju.edu.cn; Zhen Lei, ia.ac.cn; Stan Li,
Ground Plane Estimation using a Hidden Markov Model	Ralf Dragon*, Eth Zurich; Luc Van Gool, ETH
Product Sparse Coding	Tiezheng Ge, ; Kaiming He*, Microsoft Research Asia; Jian Sun,
Feature-Independent Action Spotting Without Human Localization, Segmentation or Frame-wise Tracking	Chuan Sun*, UCF; Hassan Foroosh, University of Central Florida
Unsupervised Learning of Dictionaries of Hierarchical Compositional Models	Jifeng Dai*, Tsinghua University; UCLA; Yi Hong, UCLA; WENZE Hu, UCLA; Ying Nian Wu, UCLA
A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions	Menglong Yang*, Sichuan University; Yiguang Liu, Sichuan University; Stan Li,
Multi-fold MIL Training for Weakly Supervised Object Localization	Ramazan Gokberk Cinbis*, INRIA; Jakob Verbeek, ; Cordelia Schmid, INRIA
Online Object Tracking, Learning and Parsing with And-Or Graphs	Yang Lu, UCLA; Tianfu Wu*, University of California, Los ; Song Chun Zhu, UCLA
Multi-target Tracking with Motion Context in Tensor Power Iteration	Xinchu Shi*, NLPR; Haibin Ling, Temple University; Weiming Hu, NLPR, CASIA; Chunfeng Yuan, NLPR, IACAS
Facial Expression Recognition via a Boosted Deep Belief Network	Ping Liu*, University of south carolina; shizhong han, university of south carolina; zibo meng, university of south carolina; Yan Tong, university of south carolina
Bi-label Propagation for Generic Multiple Object Tracking	Wenhan Luo*, Imperial College London; Tae-Kyun Kim, Imperial College London; Björn Stenger, Cambridge Research Laboratory, Toshiba Research Europe; Xiaowei Zhao, Imperial College London; Roberto Cipolla, Cambridge
Probabilistic Active Appearance Models	Joan Alabort-i-Medina*, Imperial College London; Stefanos Zafeiriou, Imperial College London
Transformation Pursuit for Image Classification	Mattis Paulin*, Inria; Jerome REVAUD, ; Zaid Harchaoui, INRIA; Florent Perronnin, ; Cordelia Schmid, INRIA
Stacked Progressive Auto-Encoder (SPAE) for Face Recognition Across Poses	Meina Kan*, Chinese Academy of Sciences ; Shiguang Shan, Chinese Academy of Sciences; Hong Chang, Chinese Academy of Sciences; Xilin Chen,
Visual Tracking via Probability Continuous Outlier Model	Dong Wang*, DUT; Huchuan Lu, DUT
Latent Dictionary Learning for Sparse Representation based Classification	Meng Yang*, ETH Zuich; Luc Van Gool, ETH
Active Sampling for Subjective Image Quality Assessment	Peng Ye*, University of Maryland; David Doermann, University of Maryland
Informed Haar-like Features Improve Pedestrian Detection	Shanshan Zhang*, University of Bonn; Christian Bauckhage, Fraunhofer IAIS, Sankt Augsitin, Germany; Armin Cremers,
Multi-Cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation	Xiangyuan Lan, Hong Kong Baptist University; Pong C YUEN*, Hong Kong Baptist University; Andy Jinhua Ma, Hong Kong Baptist University
Better Feature Tracking Through Subspace Constraints	Bryan Poling*, University of Minnesota; Gilad Lerman, University of Minnesota; Arthur Szlam, CCNY
Aerial Reconstructions via Probabilistic Data Fusion	Randi Cabezas*, MIT; Oren Freifeld, MIT; Guy Rosman, MIT; John Fisher III, MIT
Unifying Spatial and Attribute Selection for Distracter-resilient Tracking	Nan Jiang*, Huazhong University of Science and Technology; Ying Wu, Northwestern University
Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video	Eran Swears*, Kitware; Anthony Hoogs, ; Qiang Ji, ; Kim Boyer, RPI
Visual Tracking Using Pertinent Patch Selection and Masking	Dae-Youn Lee, Korea University; Jae-Young Sim, Ulsan National Institute of Science and Technology; Chang-Su Kim*,
Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI	YUANXIANG WANG, University of Florida; Hesamoddin Salehian, University of Florida; Guang Cheng, ; Baba Vemuri*, University of Florida
Pyramid-based Visual Tracking Using Sparsity Represented Mean Transform	Zhe Zhang*, CUHK; Kin Hong Wong,
Real-time Model-based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints	Karl Pauwels*, University of Granada; Leonardo Rubio, University of Granada; Eduardo Ros, University of Granada
Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction	Matthew Berger*, Air Force Research Laboratory; Lee Seversky, Air Force Research Laboratory
Human Shape and Pose Tracking Using Keyframes	Chun-Hao Huang*, Technische Universität München; Edmond Boyer, INRIA; Slobodan Ilic,
Speeding Up Tracking by Ignoring Features	Lu Zhang*, Delft University of Technology; Hamdi Dibeklioglu, TUDelft; Laurens van der Maaten, TUDelft
A Principled Approach for Coarse-to-Fine MAP Inference	Christopher Zach*, MSR Cambridge
Evolutionary Quasi-random Search for Hand Articulations Tracking	Iason Oikonomidis*, CSD - Univ. of Crete and FORTH; Manolis Lourakis, ; Antonis Argyros,
Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation	Erkang Cheng*, Temple University; Yu Pang, Temple University; Ying Zhu, Siemens; Haibin Ling, Temple University
Multi-Forest Tracker: A Chameleon in Tracking	DAVID JOSEPH TAN*, TUM; Slobodan Ilic,
Region-based particle filter for video object segmentation	David Varas*, UPC; Ferran Marques, UPC
Scalable Object Detection using Deep Neural Networks	Dumitru Erhan*, Google; Christian Szegedy, ; Alexander Toshev, Google; Dragomir Anguelov, Google