Výsledky vyhľadávania - "2018 IEEE/CVF Conference on Computer Vision AND Pattern Recognition*"

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) : Salt Lake City, Utah, USA 18-22 June 2018 Autor IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers

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CVPR 2019: Call for Papers Deadline November 16: The 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition

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VizWiz Grand Challenge: Answering Visual Questions from Blind People Autor Gurari, Danna, Li, Qing, Stangl, Abigale J., Guo, Anhong, Lin, Chi, Grauman, Kristen, Luo, Jiebo, Bigham, Jeffrey P.

“…The study of algorithms to automatically answer visual questions currently is motivated by visual question answering (VQA) datasets constructed in artificial…”
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DenseASPP for Semantic Segmentation in Street Scenes Autor Yang, Maoke, Yu, Kun, Zhang, Chi, Li, Zhiwei, Yang, Kuiyuan

“…Semantic image segmentation is a basic street scene understanding task in autonomous driving, where each pixel in a high resolution image is categorized into a…”
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Single-Shot Refinement Neural Network for Object Detection Autor Zhang, Shifeng, Wen, Longyin, Bian, Xiao, Lei, Zhen, Li, Stan Z.

“…For object detection, the two-stage approach (e.g., Faster R-CNN) has been achieving the highest accuracy, whereas the one-stage approach (e.g., SSD) has the…”
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DensePose: Dense Human Pose Estimation in the Wild Autor Guler, Riza Alp, Neverova, Natalia, Kokkinos, Iasonas

“…In this work we establish dense correspondences between an RGB image and a surface-based representation of the human body, a task we refer to as dense human…”
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Real-Time Seamless Single Shot 6D Object Pose Prediction Autor Tekin, Bugra, Sinha, Sudipta N., Fua, Pascal

“…We propose a single-shot approach for simultaneously detecting an object in an RGB image and predicting its 6D pose without requiring multiple stages or having…”
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Deformable GANs for Pose-Based Human Image Generation Autor Siarohin, Aliaksandr, Sangineto, Enver, Lathuiliere, Stephane, Sebe, Nicu

“…In this paper we address the problem of generating person images conditioned on a given pose. Specifically, given an image of a person and a target pose, we…”
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Features for Multi-target Multi-camera Tracking and Re-identification Autor Ristani, Ergys, Tomasi, Carlo

“…Multi-Target Multi-Camera Tracking (MTMCT) tracks many people through video taken from several cameras. Person Re-Identification (Re-ID) retrieves from a…”
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Mask-Guided Contrastive Attention Model for Person Re-identification Autor Song, Chunfeng, Huang, Yan, Ouyang, Wanli, Wang, Liang

“…Person Re-identification (ReID) is an important yet challenging task in computer vision. Due to the diverse background clutters, variations on viewpoints and…”
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Deep Ordinal Regression Network for Monocular Depth Estimation Autor Fu, Huan, Gong, Mingming, Wang, Chaohui, Batmanghelich, Kayhan, Tao, Dacheng

“…Monocular depth estimation, which plays a crucial role in understanding 3D scene geometry, is an ill-posed problem. Recent methods have gained significant…”
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InLoc: Indoor Visual Localization with Dense Matching and View Synthesis Autor Taira, Hajime, Okutomi, Masatoshi, Sattler, Torsten, Cimpoi, Mircea, Pollefeys, Marc, Sivic, Josef, Pajdla, Tomas, Torii, Akihiko

“…We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are…”
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Unsupervised Cross-Dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns Autor Lv, Jianming, Chen, Weihang, Li, Qing, Yang, Can

“…Most of the proposed person re-identification algorithms conduct supervised training and testing on single labeled datasets with small size, so directly…”
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Squeeze-and-Excitation Networks Autor Hu, Jie, Shen, Li, Sun, Gang

“…Convolutional neural networks are built upon the convolution operation, which extracts informative features by fusing spatial and channel-wise information…”
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MobileNetV2: Inverted Residuals and Linear Bottlenecks Autor Sandler, Mark, Howard, Andrew, Zhu, Menglong, Zhmoginov, Andrey, Chen, Liang-Chieh

“…In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and…”
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Non-local Neural Networks Autor Wang, Xiaolong, Girshick, Ross, Gupta, Abhinav, He, Kaiming

“…Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time. In this paper, we present non-local operations…”
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Autor Zhang, Xiangyu, Zhou, Xinyu, Lin, Mengxiao, Sun, Jian

“…We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing…”
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Cascade R-CNN: Delving Into High Quality Object Detection Autor Cai, Zhaowei, Vasconcelos, Nuno

“…In object detection, an intersection over union (IoU) threshold is required to define positives and negatives. An object detector, trained with low IoU…”
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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Autor Wang, Ting-Chun, Liu, Ming-Yu, Zhu, Jun-Yan, Tao, Andrew, Kautz, Jan, Catanzaro, Bryan

“…We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks…”
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Residual Dense Network for Image Super-Resolution Autor Zhang, Yulun, Tian, Yapeng, Kong, Yu, Zhong, Bineng, Fu, Yun

“…A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well…”
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