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المؤلفون: Sungil Kang, Tuo Feng, Qinghua Hu, Sai Saketh Chennamsetty, Xudong Wei, Dheeraj Reddy Pailla, Lei Zhang, Keyang Wang, Srinivas S S Kruthiventi, Wei Dai, Hailin Shi, Xiaorui Wang, Almaz Zinollayev, Lars Sommer, Chang Liu, Xin Zhang, Shuhao Chen, Zhikang Wang, Jing Ge, Xinyao Wang, Aijin Li, Zichen Song, DeChun Cong, Jihoon Lee, Jingkai Zhou, Byeongwon Lee, Ziming Liu, Dawei Du, Jonas Meier, Furui Bai, Qingxuan Lv, Donghyeon Cho, Sungeun Hong, Anuar Askergaliyev, Chunlei Huo, Hongliang Li, Haitao Xiong, Xuankun Chen, Tong Wu, Wanqi Li, Kaiqi Huang, Yifu Chen, Aashish Kumar, Weida Qin, Hao Qi, Lianghua Huang, Yunxin Zhong, Ildoo Kim, Jun Won Choi, Junying Huang, Jingjing Xu, Xinyu Zhang, Huchuan Lu, Xindi Zhang, Qiang Chen, Xin Chen, Jiayu Zheng, Qishang Cheng, Changrui Chen, Yue Zhang, Guangyu Gao, Yu Heng Toh, Lin Sun, Lei Jin, Liefeng Bo, Jaekyum Kim, Dening Zeng, Yu Zhang, Xiaoyu Chen, Longyin Wen, Nuo Xu, Haibin Lin, Di Li, Xiao Bian, Xin Zhao, Yu Zhu, Da Yu, Pengyi Zhang, Lucas Steinmann, Guizhong Liu, Varghese Alex Kollerathu, Junhao Hu, Arne Schumann, Pengfei Zhu, Zexin Wang, Weiyang Wang, Dong Wang, Rui Zhu, George Jose, Tao Peng, Qiong Liu, Dongyu Zhang, Haoran Wang, Meixia Jia, Yanchao Li, Junyi Zhang, Xin Sun, Shuo Wei, Xuzhang Zhang, Binjie Mao, Heqian Qiu, Chunhong Pan, Jane Shen
المصدر: ICCV Workshops
مصطلحات موضوعية: Computer science, business.industry, 020208 electrical & electronic engineering, Detector, Comparison results, 02 engineering and technology, Drone, Object detection, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Benchmark (computing), 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Protocol (object-oriented programming), Image object
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4c84b6a87daab3a2cf988bca7039b500
https://doi.org/10.1109/iccvw.2019.00030 -
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المؤلفون: Konda Reddy Mopuri, Suraj Srinivas, Nikita Prabhu, R. Venkatesh Babu, Ravi Kiran Sarvadevabhatla, Srinivas S S Kruthiventi
المصدر: Deep Learning for Medical Image Analysis
مصطلحات موضوعية: Artificial neural network, Contextual image classification, Computer science, business.industry, media_common.quotation_subject, Deep learning, Perspective (graphical), 020207 software engineering, 02 engineering and technology, Convolutional neural network, Presentation, Recurrent neural network, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, media_common
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c88745ebd6f0cf4f11fed9055aa8d9a0
https://doi.org/10.1016/b978-0-12-810408-8.00003-1 -
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المصدر: ACM Multimedia
مصطلحات موضوعية: FOS: Computer and information sciences, business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), Deep learning, Computer Science - Computer Vision and Pattern Recognition, Cognitive neuroscience of visual object recognition, 020207 software engineering, Pattern recognition, 02 engineering and technology, Convolutional neural network, 0202 electrical engineering, electronic engineering, information engineering, Depiction, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, State (computer science), business, Invariant object recognition, ComputingMethodologies_COMPUTERGRAPHICS
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6128f90230dff7f70aa745f313789843
https://doi.org/10.1145/2964284.2967208 -
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المصدر: ACM Multimedia
مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, business.industry, Deep learning, Computer Vision and Pattern Recognition (cs.CV), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computer Science - Computer Vision and Pattern Recognition, 020207 software engineering, 02 engineering and technology, Convolutional neural network, Image (mathematics), Quantitative Biology::Subcellular Processes, Crowds, Face (geometry), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Crowd density, Scale (map), business, Crowd counting
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::807a0aaf77fb1e8ab21db2cef2d17958
http://arxiv.org/abs/1608.06197 -
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المصدر: CVPR
مصطلحات موضوعية: Computer science, business.industry, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020207 software engineering, Pattern recognition, Context (language use), 02 engineering and technology, Image segmentation, Object (computer science), Convolutional neural network, medicine.anatomical_structure, Salience (neuroscience), Fixation (visual), 0202 electrical engineering, electronic engineering, information engineering, medicine, 020201 artificial intelligence & image processing, Segmentation, Human eye, Computer vision, Artificial intelligence, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::def5cdb2db4b12a32756ad72d210d733
https://doi.org/10.1109/cvpr.2016.623 -
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المصدر: 2016 International Conference on Signal Processing and Communications (SPCOM).
مصطلحات موضوعية: business.industry, Segmentation-based object categorization, Computer science, Scale-space segmentation, 02 engineering and technology, Image segmentation, Fundus (eye), Convolutional neural network, Thresholding, Grayscale, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Image texture, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Segmentation, Artificial intelligence, business, Image resolution
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b3af6972afb9a6364e907fcd258d11bc
https://doi.org/10.1109/spcom.2016.7746702 -
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المؤلفون: Kumar Ayush, R. Venkatesh Babu, Srinivas S S Kruthiventi
مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Computer Vision and Pattern Recognition (cs.CV), Feature extraction, Computer Science - Computer Vision and Pattern Recognition, Image processing, 02 engineering and technology, Fixation, Ocular, Convolutional neural network, Machine Learning, Salience (neuroscience), 0202 electrical engineering, electronic engineering, information engineering, Image Processing, Computer-Assisted, Humans, Saliency map, Attention, Models, Statistical, Artificial neural network, business.industry, 020207 software engineering, Pattern recognition, Fixation (psychology), Computer Graphics and Computer-Aided Design, Visualization, Receptive field, 020201 artificial intelligence & image processing, Artificial intelligence, Neural Networks, Computer, business, Software, Algorithms
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b2ef736089831a57d17b6acd8c19f4b
http://arxiv.org/abs/1510.02927 -
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المؤلفون: Srinivas S S Kruthiventi, R. Venkatesh Babu
المصدر: CVPR Workshops
مصطلحات موضوعية: Conditional random field, Dynamic time warping, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, Image segmentation, Physics::Fluid Dynamics, Flow (mathematics), Computer Science::Computer Vision and Pattern Recognition, Path (graph theory), Segmentation, Computer vision, Artificial intelligence, business, Cluster analysis
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5e3d632e5ee8b0783f764c901f58298e
https://doi.org/10.1109/cvprw.2015.7301285 -
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المؤلفون: Srinivas S S Kruthiventi, R. Venkatesh Babu
المصدر: ICVGIP
مصطلحات موضوعية: Set (abstract data type), Sequence, Dynamic time warping, Action (philosophy), Computer science, business.industry, Frame (networking), Trajectory, Computer vision, Artificial intelligence, business, Class (biology), Measure (mathematics)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::092b526df5f4042bd0c549604978634a
https://doi.org/10.1145/2683483.2683506