Papers
8,506 papers found
A Randomized Ensemble Approach to Industrial CT Segmentation
Hyojin Kim, Jayaraman Jayaraman J. Thiagarajan, Peer-Timo Bremer
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection
Dingwen Zhang, Deyu Meng, Chao Li et al.
Ask Your Neurons: A Neural-Based Approach to Answering Questions About Images
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
A Spatio-Temporal Appearance Representation for Viceo-Based Pedestrian Re-Identification
Kan Liu, Bingpeng Ma, Wei Zhang et al.
As-Rigid-As-Possible Volumetric Shape-From-Template
Shaifali Parashar, Daniel Pizarro, Adrien Bartoli et al.
A Supervised Low-Rank Method for Learning Invariant Subspaces
Farzad Siyahjani, Ranya Almohsen, Sinan Sabri et al.
AttentionNet: Aggregating Weak Directions for Accurate Object Detection
Donggeun Yoo, Sunggyun Park, Joon-Young Lee et al.
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose
Seyoung Park, Song-Chun Zhu
Attribute-Graph: A Graph Based Approach to Image Ranking
Nikita Prabhu, R. Venkatesh Babu
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization
Zhe Xu, Shaoli Huang, Ya Zhang et al.
A Unified Multiplicative Framework for Attribute Learning
Kongming Liang, Hong Chang, Shiguang Shan et al.
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face
Jungseock Joo, Francis F. Steen, Song-Chun Zhu
Automatic Concept Discovery From Parallel Text and Visual Corpora
Chen Sun, Chuang Gan, Ram Nevatia
Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability
Jingwei Huang, Huarong Chen, Bin Wang et al.
A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online
David Joseph Tan, Federico Tombari, Slobodan Ilic et al.
A Versatile Scene Model With Differentiable Visibility Applied to Generative Pose Estimation
Helge Rhodin, Nadia Robertini, Christian Richardt et al.
A Wavefront Marching Method for Solving the Eikonal Equation on Cartesian Grids
Brais Cancela, Marcos Ortega, Manuel G. Penedo
Bayesian Model Adaptation for Crowd Counts
Bo Liu, Nuno Vasconcelos
Bayesian Non-Parametric Inference for Manifold Based MoCap Representation
Fabrizio Natola, Valsamis Ntouskos, Marta Sanzari et al.
Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices
Lei Wang, Jianjia Zhang, Luping Zhou et al.
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs
Mehrtash Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh
Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation
Lianrui Fu, Junge Zhang, Kaiqi Huang
Beyond White: Ground Truth Colors for Color Constancy Correction
Dongliang Cheng, Brian Price, Scott Cohen et al.
Bilinear CNN Models for Fine-Grained Visual Recognition
Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji
Bi-Shifting Auto-Encoder for Unsupervised Domain Adaptation
Meina Kan, Shiguang Shan, Xilin Chen