Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Yuehan Yao"'
Autor:
Alexandr G. Rassadin, Ali Asghar Khani, Yinyin Yuan, Neeraj Kumar, Nikhil Cherian Kurian, Hasib Zunair, Hamid Behroozi, Priya Lakshmi Narayanan, Shuolin Liu, Romil Lodaya, Yanling Liu, Dwarikanath Mahapatra, Abhijeet Patil, Lata Kini, Pavel Semkin, Yuehan Yao, Hyun Jung, Seyed Alireza Fatemi Jahromi, Sanjay N. Talbar, Swapnil Rane, Ming Feng, Bhakti Baheti, G Thomas Brown, Vikas Ramachandra, Justin Law, Rupert Ecker, Xiyi Wu, Isabella Ellinger, Prasad Dutande, Tang-Kai Yin, Ehsan Montahaei, Shan E Ahmed Raza, Amirreza Mahbod, Aditya Mitkari, Abdessamad Ben Hamza, Hanyun Zhang, Zhengyu Xu, Kele Xu, Quoc Dang Vu, Yijie Huang, Bin Dong, Shikhar Srivastava, Lisheng Wang, Mahdieh Soleymani Baghshah, Nasir M. Rajpoot, Zhipeng Luo, Shuai Lv, Ujjwal Baid, Huai Chen, Ruchika Verma, Simon Graham, Lubomira Trnavska, Mieke Zwager, Steven Smiley, Amit Sethi, Abhiroop Tejomay, Dinesh Koka, Qi-Rui Fang
Publikováno v:
Ieee transactions on medical imaging, 40(12), 3413-3423. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Detecting various types of cells in and around the tumor matrix holds a special significance in characterizing the tumor micro-environment for cancer prognostication and research. Automating the tasks of detecting, segmenting, and classifying nuclei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d246f6bb68a09afa5970571e21e0d90a
https://research.rug.nl/en/publications/4639c9a9-8918-43fd-85fe-8ba1648b51e6
https://research.rug.nl/en/publications/4639c9a9-8918-43fd-85fe-8ba1648b51e6
Autor:
Chen Guo, Siqian Yang, Ting Liu, Kelvin C.K. Chan, Tangxin Xie, Zekun Li, Dongliang He, Shijie Zhao, Boyuan Jiang, Ye Zhu, He Zheng, Yunhua Lu, Zhubo Ruan, Yu Li, Xueyang Fu, Junlin Li, Huanwei Liang, Jinjing Li, Chengpeng Chen, Shijie Yue, Hongying Liu, Xu Zhuo, Zhongyuan Wang, Konstantinos Konstantoudakis, Guodong Du, Ruixia Song, Seungjun Nah, Fu Li, Wenhao Zhang, Ruipeng Gang, Peng Yi, Ying Tai, Xiaozhong Ji, Yutong Wang, Donghao Luo, Kyoung Mu Lee, Chengjie Wang, Jechang Jeong, Peng Zhao, Chenghua Li, Xueyi Zou, Hanxi Liu, Junjun Jiang, Pablo Navarrete Michelini, Xueheng Zhang, Renjun Luo, Sourya Dipta Das, Xiaojie Chu, Yuchun Dong, Jie Zhang, Yuanyuan Liu, Shangchen Zhou, Yu Jia, Xinning Chai, Suyoung Lee, Xin Li, Lielin Jiang, Wenqing Chu, Qing Wang, Mengdi Sun, Qian Zheng, Mengxi Guo, Liangyu Chen, Li Chen, Chen Li, Zhiwei Xiong, Fenglong Song, Jeonghwan Heo, Qi Zhang, Li Song, Yixin Bai, Konstantinos Karageorgos, Anastasios Dimou, Yuxiang Chen, Ruisheng Gao, Zeyu Xiao, Zhen Cheng, Fanhua Shang, Petros Daras, Gen Zhan, Kui Jiang, Qingqing Dang, Xiaopeng Sun, Fanglong Liu, Jiayi Ma, Xiangyu Xu, Jia Hao, Nisarg Shah, Radu Timofte, Kassiani Zafirouli, Fanjie Shang, Zhipeng Luo, Yukai Shi, Geyingjie Wen, Feiyue Huang, Haining Li, Qichao Sun, Ruikang Xu, Yiming Li, Xin Lu, Saikat Dutta, Hao Jiang, Seungwoo Wee, Jilin Li, Xiaowei Song, Yuehan Yao, Zhiyu Chen, Chuming Lin, Longjie Shen, Sanghyun Son, Jing Lin, Fangxu Yu, Fei Chen, Chen Change Loy
Publikováno v:
CVPR Workshops
Super-Resolution (SR) is a fundamental computer vision task that aims to obtain a high-resolution clean image from the given low-resolution counterpart. This paper reviews the NTIRE 2021 Challenge on Video Super-Resolution. We present evaluation resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af8040dbb00e915d5b4f76692166a42f
https://doi.org/10.1109/cvprw53098.2021.00026
https://doi.org/10.1109/cvprw53098.2021.00026
Publikováno v:
AIAA Scitech 2021 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cac5d89c6449f20f725aab156b2409c
https://doi.org/10.2514/6.2021-0715
https://doi.org/10.2514/6.2021-0715
Autor:
Yunhao Du, Long Hoang Pham, Guanlin Chen, Qinghua Hu, Zhijian He, Qianyu Feng, Hakki Motorcu, Hasan Fehmi Ateş, Halar Haleem, Wenguan Wang, Duong Nguyen-Ngoc Tran, Zhipeng Luo, Chao Sun, Pengfei Zhu, Yixuan Yuan, Zhenyu Xu, Chiara Garibotto, Jinglin Zhang, Igor Bisio, Jae Wook Jeon, Lujia Wang, Xiao Pan, Shengwen Li, Ming Liu, Luc Van Gool, Junwei Han, Moongu Jeon, Steven C. H. Hoi, Andrea Sciarrone, Fabio Lavagetto, Jiahao Li, Tai Huu-Phuong Tran, Huy-Hung Nguyen, Hyung-Joon Jeon, Yuehan Yao, Dingwen Zhang, Young-min Song
Vision Meets Drone: Multiple Object Tracking (VisDrone-MOT2021) challenge - the forth annual activity organized by the VisDrone team - focuses on benchmarking UAV MOT algorithms in realistic challenging environments. It is held in conjunction with IC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8310dddab18298b012f92f8f1e1a75d
http://hdl.handle.net/11567/1063562
http://hdl.handle.net/11567/1063562
Publikováno v:
ACM Multimedia
This paper explores a simple and efficient baseline for multi-class and multiple objects tracking on VidOR dataset. The task is to build a robust object tracker that not only localize objects with bounding boxes in every video frame but also link the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f4782ddf5dc9f8957ca89192ec076ea
https://doi.org/10.1145/3394171.3416304
https://doi.org/10.1145/3394171.3416304
Publikováno v:
ICASSP
As a concise framework, Mask R-CNN achieves promising performance in object detection and instance segmentation. However, there is room for improvement in two aspects. One is that performing multi-task prediction needs more credible feature extractio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40622bd5f14d93b685d756c47559c54b
https://doi.org/10.1109/icassp40776.2020.9053782
https://doi.org/10.1109/icassp40776.2020.9053782
Autor:
Yuehan Yao, Neelesh A. Patankar, Kyoo-Chul Park, Tom Y. Zhao, Christian Machado, Emma Feldman
Publikováno v:
Proc Natl Acad Sci U S A
Numerous studies have focused on designing functional surfaces that delay frost formation or reduce ice adhesion. However, solutions to the scientific challenges of developing antiicing surfaces remain elusive because of degradation such as mechanica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fcd7923d339331e51e1be5b4203a5dc
https://pubmed.ncbi.nlm.nih.gov/32156727
https://pubmed.ncbi.nlm.nih.gov/32156727
Autor:
Zhaoze Zhao, Longyin Wen, Min Yao, Zhenyu Xu, Jie Han, Wentao Yu, Guna Seetharaman, Ting Sun, Filiz Bunyak, Pengfei Zhu, Xi Wu, Yuehan Yao, Mubarak Shah, Kannappan Palaniappan, Yanyun Zhao, Duo Xu, V. Haritha, Zhipeng Luo, Xingjie Zhao, Guizhong Liu, Xiaopeng Hong, Bin Dong, Yihong Gong, Linu Shine, Zhizhao Duan, P. S. Hrishikesh, Heng Fan, Kaojin Zhu, Arne Schumann, Lars Sommer, Wang Sai, Shengwen Li, Xing Wei, Daniel Stadler, Yuhang He, Dawei Du, Zhen Xie, Junwen Pan, Noor M. Al-Shakarji, Zheng Yang, Qinghua Hu, Haibin Ling, Libo Zhang
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030668228
ECCV Workshops (4)
ECCV Workshops (4)
The Vision Meets Drone (VisDrone2020) Multiple Object Tracking (MOT) is the third annual UAV MOT tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer Vision (ECCV 2020). The VisDrone-MOT2020
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a76e093c22ffcbf17c211c6a35f619c
https://doi.org/10.1007/978-3-030-66823-5_43
https://doi.org/10.1007/978-3-030-66823-5_43
Publikováno v:
Advances in Brain Inspired Cognitive Systems ISBN: 9783030394301
BICS
BICS
Emotion recognition using Electroencephalogram (EEG) has drawn the attention of many scholars. However, there are few studies looking into regressive approach. Actually, human affective states are continuous rather than discrete. This paper focuses o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be36fd5d2d75d8f7f357197f5cc75501
https://doi.org/10.1007/978-3-030-39431-8_6
https://doi.org/10.1007/978-3-030-39431-8_6
Autor:
Ziming Liu, Weiping Yu, Zehui Gong, Yan Ding, Fanman Meng, Qizhang Lin, Dheeraj Reddy Pailla, Hongliang Li, Yan Luo, Pengfei Zhu, Murari Mandal, Zhiwei Wei, Junwen Pan, Apostolos Axenopoulos, Mubarak Shah, Michael Schleiss, Jong Hwan Ko, Qinghua Hu, Yongwoo Kim, Sai Wang, Hansheng Chen, Heng Fan, Zichen Song, Chengzhen Duan, Xiaogang Jia, Haibin Ling, Ming-Hsuan Yang, Jungyeop Yoo, Qiu Shi, Hao Zhou, Bin Dong, Xingjie Zhao, Athanasios Psaltis, Chen Chen, Zhongjie Fan, Wenxiang Lin, Yuehan Yao, Joochan Lee, Pratik Narang, Yu Sun, Weida Qin, Sarvesh Mehta, Qiong Liu, Guosheng Zhang, Zhenyu Xu, Petros Daras, Minjian Zhang, Longyin Wen, Jun Yu, Guangyu Gao, Yuyao Huang, Lu Xiong, Jingkai Zhou, Mingyu Liu, Xi Zhao, Yang Xiao, Xuanxin Liu, Yi Wang, Heqian Qiu, Chongyang Zhang, Lars Sommer, Taijin Zhao, Faizan Farooq Khan, Wei Tian, Jincai Cui, Yingjie Liu, Shuai Li, Zhiguo Cao, Shuqin Huang, Ting Sun, Haonian Xie, Ioannis Athanasiadis, Zhipeng Luo, Dawei Du, Wei Guo, Rohit Ramaprasad, Xin He, Sungtae Moon, Arne Schumann, Ayush Jain, Changlin Li, Dong Yin, Daniel Stadler
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030668228
ECCV Workshops (4)
ECCV Workshops (4)
The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 challenges, many submitted object detectors e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::609bce22589ccd0e26af40d7785642be
https://doi.org/10.1007/978-3-030-66823-5_42
https://doi.org/10.1007/978-3-030-66823-5_42