Výsledky vyhľadávania - "Computer Vision and Image Understanding"

Deep learning for deepfakes creation and detection: A survey Autor Nguyen, Thanh Thi, Nguyen, Quoc Viet Hung, Nguyen, Dung Tien, Nguyen, Duc Thanh, Huynh-The, Thien, Nahavandi, Saeid, Nguyen, Thanh Tam, Pham, Quoc-Viet, Nguyen, Cuong M.

“…Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep…”
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Skeleton-based action recognition via spatial and temporal transformer networks Autor Plizzari, Chiara, Cannici, Marco, Matteucci, Matteo

“…Skeleton-based Human Activity Recognition has achieved great interest in recent years as skeleton data has demonstrated being robust to illumination changes,…”
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Pros and cons of GAN evaluation measures: New developments Autor Borji, Ali

“…This work is an update of my previous paper on the same topic published a few years ago (Borji, 2019). With the dramatic progress in generative modeling, a…”
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Deep 3D human pose estimation: A review Autor Wang, Jinbao, Tan, Shujie, Zhen, Xiantong, Xu, Shuo, Zheng, Feng, He, Zhenyu, Shao, Ling

“…Three-dimensional (3D) human pose estimation involves estimating the articulated 3D joint locations of a human body from an image or video. Due to its…”
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UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking Autor Wen, Longyin, Du, Dawei, Cai, Zhaowei, Lei, Zhen, Chang, Ming-Ching, Qi, Honggang, Lim, Jongwoo, Yang, Ming-Hsuan, Lyu, Siwei

“…Effective multi-object tracking (MOT) methods have been developed in recent years for a wide range of applications including visual surveillance and behavior…”
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Anabranch network for camouflaged object segmentation Autor Le, Trung-Nghia, Nguyen, Tam V., Nie, Zhongliang, Tran, Minh-Triet, Sugimoto, Akihiro

“…Camouflaged objects attempt to conceal their texture into the background and discriminating them from the background is hard even for human beings. The main…”
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Pros and cons of GAN evaluation measures Autor Borji, Ali

“…Generative models, in particular generative adversarial networks (GANs), have gained significant attention in recent years. A number of GAN variants have been…”
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Getting to know low-light images with the Exclusively Dark dataset Autor Loh, Yuen Peng, Chan, Chee Seng

“…Low-light is an inescapable element of our daily surroundings that greatly affects the efficiency of our vision. Research works on low-light imagery have seen…”
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A survey on deep learning based face recognition Autor Guo, Guodong, Zhang, Na

“…Deep learning, in particular the deep convolutional neural networks, has received increasing interests in face recognition recently, and a number of deep…”
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Monocular human pose estimation: A survey of deep learning-based methods Autor Chen, Yucheng, Tian, Yingli, He, Mingyi

“…Vision-based monocular human pose estimation, as one of the most fundamental and challenging problems in computer vision, aims to obtain posture of the human…”
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Multitask learning for large-scale semantic change detection Autor Caye Daudt, Rodrigo, Le Saux, Bertrand, Boulch, Alexandre, Gousseau, Yann

“…Change detection is one of the main problems in remote sensing, and is essential to the accurate processing and understanding of the large scale Earth…”
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Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes Autor Sabokrou, Mohammad, Fayyaz, Mohsen, Fathy, Mahmood, Moayed, Zahra, Klette, Reinhard

“…•This paper is one of the first where fully convolutional neural network is used for anomaly detection.•Adapting a pre-trained classification CNN to an FCN for…”
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TCLR: Temporal contrastive learning for video representation Autor Dave, Ishan, Gupta, Rohit, Rizve, Mamshad Nayeem, Shah, Mubarak

“…Contrastive learning has nearly closed the gap between supervised and self-supervised learning of image representations, and has also been explored for videos…”
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Learning a no-reference quality metric for single-image super-resolution Autor Ma, Chao, Yang, Chih-Yuan, Yang, Xiaokang, Yang, Ming-Hsuan

“…Numerous single-image super-resolution algorithms have been proposed in the literature, but few studies address the problem of performance evaluation based on…”
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The THUMOS challenge on action recognition for videos “in the wild” Autor Idrees, Haroon, Zamir, Amir R., Jiang, Yu-Gang, Gorban, Alex, Laptev, Ivan, Sukthankar, Rahul, Shah, Mubarak

“…•THUMOS challenge was introduced in 2013 to serve as a benchmark for action recognition.•In this paper we describe the THUMOS benchmark in detail.•Give an…”
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VideoLSTM convolves, attends and flows for action recognition Autor Li, Zhenyang, Gavrilyuk, Kirill, Gavves, Efstratios, Jain, Mihir, Snoek, Cees G.M.

“…•To exploit both the spatial and temporal correlations in a video, we hardwire convolutions in the soft-Attention LSTM architecture.•We introduce motion-based…”
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Video anomaly detection and localization via Gaussian Mixture Fully Convolutional Variational Autoencoder Autor Fan, Yaxiang, Wen, Gongjian, Li, Deren, Qiu, Shaohua, Levine, Martin D., Xiao, Fei

“…We present a novel end-to-end partially supervised deep learning approach for video anomaly detection and localization using only normal samples. The insight…”
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A survey on bias in visual datasets Autor Fabbrizzi, Simone, Papadopoulos, Symeon, Ntoutsi, Eirini, Kompatsiaris, Ioannis

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Superpixels: An evaluation of the state-of-the-art Autor Stutz, David, Hermans, Alexander, Leibe, Bastian

“…•An extensive evaluation of 28 superpixel algorithms on 5 datasets.•Explicit discussion of parameter optimization, including superpixel…”
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A review of 3D human pose estimation algorithms for markerless motion capture Autor Desmarais, Yann, Mottet, Denis, Slangen, Pierre, Montesinos, Philippe

“…Human pose estimation is a very active research field, stimulated by its important applications in robotics, entertainment or health and sports sciences, among…”
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