Search Results - "2014 IEEE Conference on Computer Vision and Pattern Recognition"

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation by Girshick, Ross, Donahue, Jeff, Darrell, Trevor, Malik, Jitendra

“…Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex…”
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Large-Scale Video Classification with Convolutional Neural Networks by Karpathy, Andrej, Toderici, George, Shetty, Sanketh, Leung, Thomas, Sukthankar, Rahul, Li Fei-Fei

“…Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems. Encouraged by these results, we…”
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Facial Expression Recognition via a Boosted Deep Belief Network by Ping Liu, Shizhong Han, Zibo Meng, Yan Tong

“…A training process for facial expression recognition is usually performed sequentially in three individual stages: feature learning, feature selection, and…”
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DeepFace: Closing the Gap to Human-Level Performance in Face Verification by Taigman, Yaniv, Ming Yang, Ranzato, Marc'Aurelio, Wolf, Lior

“…In modern face recognition, the conventional pipeline consists of four stages: detect => align => represent => classify. We revisit both the alignment step and…”
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Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks by Oquab, Maxime, Bottou, Leon, Laptev, Ivan, Sivic, Josef

“…Convolutional neural networks (CNN) have recently shown outstanding image classification performance in the large- scale visual recognition challenge…”
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DeepReID: Deep Filter Pairing Neural Network for Person Re-identification by Wei Li, Rui Zhao, Tong Xiao, Xiaogang Wang

“…Person re-identification is to match pedestrian images from disjoint camera views detected by pedestrian detectors. Challenges are presented in the form of…”
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DeepPose: Human Pose Estimation via Deep Neural Networks by Toshev, Alexander, Szegedy, Christian

“…We propose a method for human pose estimation based on Deep Neural Networks (DNNs). The pose estimation is formulated as a DNN-based regression problem towards…”
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One millisecond face alignment with an ensemble of regression trees by Kazemi, Vahid, Sullivan, Josephine

“…This paper addresses the problem of Face Alignment for a single image. We show how an ensemble of regression trees can be used to estimate the face's landmark…”
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Deep Learning Face Representation from Predicting 10,000 Classes by Yi Sun, Xiaogang Wang, Xiaoou Tang

“…This paper proposes to learn a set of high-level feature representations through deep learning, referred to as Deep hidden IDentity features (DeepID), for face…”
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Weighted Nuclear Norm Minimization with Application to Image Denoising by Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng

“…As a convex relaxation of the low rank matrix factorization problem, the nuclear norm minimization has been attracting significant research interest in recent…”
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Describing Textures in the Wild by Cimpoi, Mircea, Maji, Subhransu, Kokkinos, Iasonas, Mohamed, Sammy, Vedaldi, Andrea

“…Patterns and textures are key characteristics of many natural objects: a shirt can be striped, the wings of a butterfly can be veined, and the skin of an…”
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2D Human Pose Estimation: New Benchmark and State of the Art Analysis by Andriluka, Mykhaylo, Pishchulin, Leonid, Gehler, Peter, Schiele, Bernt

“…Human pose estimation has made significant progress during the last years. However current datasets are limited in their coverage of the overall pose…”
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The Secrets of Salient Object Segmentation by Yin Li, Xiaodi Hou, Koch, Christof, Rehg, James M., Yuille, Alan L.

“…In this paper we provide an extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets. Our…”
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Learning Fine-Grained Image Similarity with Deep Ranking by Jiang Wang, Yang Song, Leung, Thomas, Rosenberg, Chuck, Jingbin Wang, Philbin, James, Bo Chen, Ying Wu

“…Learning fine-grained image similarity is a challenging task. It needs to capture between-class and within-class image differences. This paper proposes a deep…”
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Adaptive Color Attributes for Real-Time Visual Tracking by Danelljan, Martin, Khan, Fahad Shahbaz, Felsberg, Michael, Van De Weijer, Joost

“…Visual tracking is a challenging problem in computer vision. Most state-of-the-art visual trackers either rely on luminance information or use simple color…”
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Saliency Optimization from Robust Background Detection by Wangjiang Zhu, Shuang Liang, Yichen Wei, Jian Sun

“…Recent progresses in salient object detection have exploited the boundary prior, or background information, to assist other saliency cues such as contrast,…”
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Multiscale Combinatorial Grouping by Arbelaez, Pablo, Pont-Tuset, Jordi, Barron, Jon, Marques, Ferran, Malik, Jitendra

“…We propose a unified approach for bottom-up hierarchical image segmentation and object candidate generation for recognition, called Multiscale Combinatorial…”
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The Role of Context for Object Detection and Semantic Segmentation in the Wild by Mottaghi, Roozbeh, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Fidler, Sanja, Urtasun, Raquel, Yuille, Alan

“…In this paper we study the role of context in existing state-of-the-art detection and segmentation approaches. Towards this goal, we label every pixel of…”
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Convolutional Neural Networks for No-Reference Image Quality Assessment by Le Kang, Peng Ye, Yi Li, Doermann, David

“…In this work we describe a Convolutional Neural Network (CNN) to accurately predict image quality without a reference image. Taking image patches as input, the…”
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Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group by Vemulapalli, Raviteja, Arrate, Felipe, Chellappa, Rama

“…Recently introduced cost-effective depth sensors coupled with the real-time skeleton estimation algorithm of Shotton et al. [16] have generated a renewed…”
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