Výsledky vyhledávání - "2014 IEEE Conference on Computer Vision and Pattern Recognition"

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation Autor 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 Autor 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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DeepFace: Closing the Gap to Human-Level Performance in Face Verification Autor 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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Describing Textures in the Wild Autor 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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Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks Autor 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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DeepPose: Human Pose Estimation via Deep Neural Networks Autor 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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2D Human Pose Estimation: New Benchmark and State of the Art Analysis Autor 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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DeepReID: Deep Filter Pairing Neural Network for Person Re-identification Autor Li, Wei, Zhao, Rui, Xiao, Tong, Wang, Xiaogang

“…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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One millisecond face alignment with an ensemble of regression trees Autor 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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Weighted Nuclear Norm Minimization with Application to Image Denoising Autor Gu, Shuhang, Zhang, Lei, Zuo, Wangmeng, Feng, Xiangchu

“…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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Deep Learning Face Representation from Predicting 10,000 Classes Autor Sun, Yi, Wang, Xiaogang, Tang, Xiaoou

“…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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The Role of Context for Object Detection and Semantic Segmentation in the Wild Autor 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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The Secrets of Salient Object Segmentation Autor 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 Autor 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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Saliency Optimization from Robust Background Detection Autor Zhu, Wangjiang, Liang, Shuang, Wei, Yichen, Sun, Jian

“…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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How to Evaluate Foreground Maps Autor Margolin, Ran, Zelnik-Manor, Lihi, Tal, Ayellet

“…The output of many algorithms in computer-vision is either non-binary maps or binary maps (e.g., salient object detection and object segmentation). Several…”
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Multiscale Combinatorial Grouping Autor 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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Convolutional Neural Networks for No-Reference Image Quality Assessment Autor 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 Autor 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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Scalable Object Detection Using Deep Neural Networks Autor Erhan, Dumitru, Szegedy, Christian, Toshev, Alexander, Anguelov, Dragomir

“…Deep convolutional neural networks have recently achieved state-of-the-art performance on a number of image recognition benchmarks, including the ImageNet…”
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