Chiara Garibotto - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Access provided by:

MIT Libraries

Access provided by:

MIT Libraries

ADVANCED SEARCH

Author details

Chiara Garibotto

Publications

44

Citations

553

Publications by Year

20152025

Co-Authors:

Hasan F. AteşAlessio BaljakIgor BisioLuca BoeroFederico Boero

Show All Co-Authors (71)

Chiara Garibotto

Affiliation

DITEN - University of Genoa, Italy

Publication Topics

Internet Of Things,
Machine Learning,
Experimental Tests,
Learning Algorithms,
Accelerometer,
Object Detection,
Original Signal,
Plantar Pressure,
Root Mean Square Error,
Structural Health Monitoring,
Support Vector Machine,
Action Recognition

Biography

Chiara Garibotto [SM] (chiara.garibotto@unige.it) was born in Chiavari, Italy, in 1985. She received the Bachelor's degree in Telecommunication Engineering from the University of Genoa, in 2012, the Master's degree in Multimedia Signal Processing and Telecommunication Networks, in 2015, and the Ph.D. degree in Science and Technology for Electronic and Telecommunication Engineering, in 2019. She is currently an Assistant Professor with the University of Genoa. Her research interests include context awareness and intelligent sensing in the Internet of Things, e-health, and wireless positioning. She is the Secretary of the IEEE Communication Society eHealth Technical Committee.(Based on document published on 27 February 2025).

Publications

44

Citations

553

Publications by Year

20152025

Co-Authors:

Hasan F. Ateş
Alessio Baljak
Igor Bisio
Luca Boero
Federico Boero

Show All Co-Authors (71)

Author's Published Works

Search History

Showing 1-8 of 8 results

Conferences (7)

Journals (1)

Sort

Filter Results

Show

Subscribed Content

Open Access Only

Range
Single Year
Yuehan Yao(8)
Zhipeng Luo(7)
Zhenyu Xu(5)
Feng Ni(4)
Qinghua Hu(3)
Tianjin University, Tianjin, China(3)
Karlsruhe Institute of Technology, Karlsruhe, Germany(2)
Tsinghua University, Beijing, China(2)
Sun Yat-sen University, Guangzhou, China(2)
Stony Brook University, New York, NY, USA(2)
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)(3)
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(1)
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(1)
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)(1)
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)(1)
IEEE(8)
Media(1)
Seoul, Korea (South)(3)
Barcelona, Spain(1)
Montreal, BC, Canada(1)
Nashville, TN, USA(1)
Seattle, WA, USA(1)
Bounding Box(5)
Intersection Over Union(5)
Object Detection(5)
Computer Vision(3)
Faster R-CNN(3)

Select All on Page

Sort By

Results

VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results

Guanlin Chen;Wenguan Wang;Zhijian He;Lujia Wang;Yixuan Yuan;Dingwen Zhang;Jinglin Zhang;Pengfei Zhu;Luc Van Gool;Junwei Han;Steven Hoi;Qinghua Hu;Ming Liu;Andrea Sciarrone;Chao Sun;Chiara Garibotto;Duong Nguyen-Ngoc Tran;Fabio Lavagetto;Halar Haleem;Hakkı Motorcu;Hasan F. Ateş;Huy-Hung Nguyen;Hyung-Joon Jeon;Igor Bisio;Jae Wook Jeon;Jiahao Li;Long Hoang Pham;Moongu Jeon;Qianyu Feng;Shengwen Li;Tai Huu-Phuong Tran;Xiao Pan;Young-Min Song;Yuehan Yao;Yunhao Du;Zhenyu Xu;Zhipeng Luo

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Year: 2021 | Conference Paper |

Cited by: Papers (23)

HTML

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 ICCV 2021. VisDrone-MOT2021 contains 96 video sequences in total, including 56 sequences (~24K frames) for training, 7 sequences (∼3K frames) for valida...Show More

VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results

Guanlin Chen;Wenguan Wang;Zhijian He;Lujia Wang;Yixuan Yuan;Dingwen Zhang;Jinglin Zhang;Pengfei Zhu;Luc Van Gool;Junwei Han;Steven Hoi;Qinghua Hu;Ming Liu;Andrea Sciarrone;Chao Sun;Chiara Garibotto;Duong Nguyen-Ngoc Tran;Fabio Lavagetto;Halar Haleem;Hakkı Motorcu;Hasan F. Ateş;Huy-Hung Nguyen;Hyung-Joon Jeon;Igor Bisio;Jae Wook Jeon;Jiahao Li;Long Hoang Pham;Moongu Jeon;Qianyu Feng;Shengwen Li;Tai Huu-Phuong Tran;Xiao Pan;Young-Min Song;Yuehan Yao;Yunhao Du;Zhenyu Xu;Zhipeng Luo

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Year: 2021 | Conference Paper |

NTIRE 2021 Challenge on Video Super-Resolution

Sanghyun Son;Suyoung Lee;Seungjun Nah;Radu Timofte;Kyoung Mu Lee;Kelvin C. K. Chan;Shangchen Zhou;Xiangyu Xu;Chen Change Loy;Boyuan Jiang;Chuming Lin;Yuchun Dong;Donghao Luo;Wenqing Chu;Xiaozhong Ji;Siqian Yang;Ying Tai;Chengjie Wang;Jilin Li;Feiyue Huang;Chengpeng Chen;Xiaojie Chu;Jie Zhang;Xin Lu;Liangyu Chen;Jing Lin;Guodong Du;Jia Hao;Xueyi Zou;Qi Zhang;Lielin Jiang;Xin Li;He Zheng;Fanglong Liu;Dongliang He;Fu Li;Qingqing Dang;Peng Yi;Zhongyuan Wang;Kui Jiang;Junjun Jiang;Jiayi Ma;Yuxiang Chen;Yutong Wang;Ting Liu;Qichao Sun;Huanwei Liang;Yiming Li;Zekun Li;Zhubo Ruan;Fanjie Shang;Chen Guo;Haining Li;Renjun Luo;Longjie Shen;Kassiani Zafirouli;Konstantinos Karageorgos;Konstantinos Konstantoudakis;Anastasios Dimou;Petros Daras;Xiaowei Song;Xu Zhuo;Hanxi Liu;Mengxi Guo;Junlin Li;Yu Li;Ye Zhu;Qing Wang;Shijie Zhao;Xiaopeng Sun;Gen Zhan;Tangxin Xie;Yu Jia;Yunhua Lu;Wenhao Zhang;Mengdi Sun;Pablo Navarrete Michelini;Xueheng Zhang;Hao Jiang;Zhiyu Chen;Li Chen;Zhiwei Xiong;Zeyu Xiao;Ruikang Xu;Zhen Cheng;Xueyang Fu;Fenglong Song;Zhipeng Luo;Yuehan Yao;Saikat Dutta;Nisarg A. Shah;Sourya Dipta Das;Peng Zhao;Yukai Shi;Hongying Liu;Fanhua Shang;Yuanyuan Liu;Fei Chen;Fangxu Yu;Ruisheng Gao;Yixin Bai;Jeonghwan Heo;Shijie Yue;Chenghua Li;Jinjing Li;Qian Zheng;Ruipeng Gang;Ruixia Song;Seungwoo Wee;Jechang Jeong;Chen Li;Geyingjie Wen;Xinning Chai;Li Song

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2021 | Conference Paper |

Cited by: Papers (26)

HTML

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 results from two competition tracks as well as the proposed solutions. Track 1 aims to develop conventional video SR methods focusing on the restoration q...Show More

NTIRE 2021 Challenge on Video Super-Resolution

Sanghyun Son;Suyoung Lee;Seungjun Nah;Radu Timofte;Kyoung Mu Lee;Kelvin C. K. Chan;Shangchen Zhou;Xiangyu Xu;Chen Change Loy;Boyuan Jiang;Chuming Lin;Yuchun Dong;Donghao Luo;Wenqing Chu;Xiaozhong Ji;Siqian Yang;Ying Tai;Chengjie Wang;Jilin Li;Feiyue Huang;Chengpeng Chen;Xiaojie Chu;Jie Zhang;Xin Lu;Liangyu Chen;Jing Lin;Guodong Du;Jia Hao;Xueyi Zou;Qi Zhang;Lielin Jiang;Xin Li;He Zheng;Fanglong Liu;Dongliang He;Fu Li;Qingqing Dang;Peng Yi;Zhongyuan Wang;Kui Jiang;Junjun Jiang;Jiayi Ma;Yuxiang Chen;Yutong Wang;Ting Liu;Qichao Sun;Huanwei Liang;Yiming Li;Zekun Li;Zhubo Ruan;Fanjie Shang;Chen Guo;Haining Li;Renjun Luo;Longjie Shen;Kassiani Zafirouli;Konstantinos Karageorgos;Konstantinos Konstantoudakis;Anastasios Dimou;Petros Daras;Xiaowei Song;Xu Zhuo;Hanxi Liu;Mengxi Guo;Junlin Li;Yu Li;Ye Zhu;Qing Wang;Shijie Zhao;Xiaopeng Sun;Gen Zhan;Tangxin Xie;Yu Jia;Yunhua Lu;Wenhao Zhang;Mengdi Sun;Pablo Navarrete Michelini;Xueheng Zhang;Hao Jiang;Zhiyu Chen;Li Chen;Zhiwei Xiong;Zeyu Xiao;Ruikang Xu;Zhen Cheng;Xueyang Fu;Fenglong Song;Zhipeng Luo;Yuehan Yao;Saikat Dutta;Nisarg A. Shah;Sourya Dipta Das;Peng Zhao;Yukai Shi;Hongying Liu;Fanhua Shang;Yuanyuan Liu;Fei Chen;Fangxu Yu;Ruisheng Gao;Yixin Bai;Jeonghwan Heo;Shijie Yue;Chenghua Li;Jinjing Li;Qian Zheng;Ruipeng Gang;Ruixia Song;Seungwoo Wee;Jechang Jeong;Chen Li;Geyingjie Wen;Xinning Chai;Li Song

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2021 | Conference Paper |

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge

Ruchika Verma;Neeraj Kumar;Abhijeet Patil;Nikhil Cherian Kurian;Swapnil Rane;Simon Graham;Quoc Dang Vu;Mieke Zwager;Shan E. Ahmed Raza;Nasir Rajpoot;Xiyi Wu;Huai Chen;Yijie Huang;Lisheng Wang;Hyun Jung;G. Thomas Brown;Yanling Liu;Shuolin Liu;Seyed Alireza Fatemi Jahromi;Ali Asghar Khani;Ehsan Montahaei;Mahdieh Soleymani Baghshah;Hamid Behroozi;Pavel Semkin;Alexandr Rassadin;Prasad Dutande;Romil Lodaya;Ujjwal Baid;Bhakti Baheti;Sanjay Talbar;Amirreza Mahbod;Rupert Ecker;Isabella Ellinger;Zhipeng Luo;Bin Dong;Zhengyu Xu;Yuehan Yao;Shuai Lv;Ming Feng;Kele Xu;Hasib Zunair;Abdessamad Ben Hamza;Steven Smiley;Tang-Kai Yin;Qi-Rui Fang;Shikhar Srivastava;Dwarikanath Mahapatra;Lubomira Trnavska;Hanyun Zhang;Priya Lakshmi Narayanan;Justin Law;Yinyin Yuan;Abhiroop Tejomay;Aditya Mitkari;Dinesh Koka;Vikas Ramachandra;Lata Kini;Amit Sethi

IEEE Transactions on Medical Imaging

Year: 2021 | Volume: 40, Issue: 12 | Journal Article |

Cited by: Papers (91)

HTML

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 can free up the pathologists’ time for higher value tasks and reduce errors due to fatigue and subjectivity. To encourage the computer vision research...Show More

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge

Ruchika Verma;Neeraj Kumar;Abhijeet Patil;Nikhil Cherian Kurian;Swapnil Rane;Simon Graham;Quoc Dang Vu;Mieke Zwager;Shan E. Ahmed Raza;Nasir Rajpoot;Xiyi Wu;Huai Chen;Yijie Huang;Lisheng Wang;Hyun Jung;G. Thomas Brown;Yanling Liu;Shuolin Liu;Seyed Alireza Fatemi Jahromi;Ali Asghar Khani;Ehsan Montahaei;Mahdieh Soleymani Baghshah;Hamid Behroozi;Pavel Semkin;Alexandr Rassadin;Prasad Dutande;Romil Lodaya;Ujjwal Baid;Bhakti Baheti;Sanjay Talbar;Amirreza Mahbod;Rupert Ecker;Isabella Ellinger;Zhipeng Luo;Bin Dong;Zhengyu Xu;Yuehan Yao;Shuai Lv;Ming Feng;Kele Xu;Hasib Zunair;Abdessamad Ben Hamza;Steven Smiley;Tang-Kai Yin;Qi-Rui Fang;Shikhar Srivastava;Dwarikanath Mahapatra;Lubomira Trnavska;Hanyun Zhang;Priya Lakshmi Narayanan;Justin Law;Yinyin Yuan;Abhiroop Tejomay;Aditya Mitkari;Dinesh Koka;Vikas Ramachandra;Lata Kini;Amit Sethi

IEEE Transactions on Medical Imaging

Year: 2021 | Volume: 40, Issue: 12 | Journal Article |

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

Kai Zhang;Shuhang Gu;Radu Timofte;Taizhang Shang;Qiuju Dai;Shengchen Zhu;Tong Yang;Yandong Guo;Younghyun Jo;Sejong Yang;Seon Joo Kim;Lin Zha;Jiande Jiang;Xinbo Gao;Wen Lu;Jing Liu;Kwangjin Yoon;Taegyun Jeon;Kazutoshi Akita;Takeru Ooba;Norimichi Ukita;Zhipeng Luo;Yuehan Yao;Zhenyu Xu;Dongliang He;Wenhao Wu;Yukang Ding;Chao Li;Fu Li;Shilei Wen;Jianwei Li;Fuzhi Yang;Huan Yang;Jianlong Fu;Byung-Hoon Kim;JaeHyun Baek;Jong Chul Ye;Yuchen Fan;Thomas S. Huang;Junyeop Lee;Bokyeung Lee;Jungki Min;Gwantae Kim;Kanghyu Lee;Jaihyun Park;Mykola Mykhailych;Haoyu Zhong;Yukai Shi;Xiaojun Yang;Zhijing Yang;Liang Lin;Tongtong Zhao;Jinjia Peng;Huibing Wang;Zhi Jin;Jiahao Wu;Yifu Chen;Chenming Shang;Huanrong Zhang;Jeongki Min;P.S. Hrishikesh;Densen Puthussery;C.V. Jiji

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2020 | Conference Paper |

Cited by: Papers (32)

HTML

This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input image with a magnification factor ×16 based on a set of prior examples of low and corresponding high resolution images. The goal is to obtain a network design capable to produce high resolution results with the best percep...Show More

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

Kai Zhang;Shuhang Gu;Radu Timofte;Taizhang Shang;Qiuju Dai;Shengchen Zhu;Tong Yang;Yandong Guo;Younghyun Jo;Sejong Yang;Seon Joo Kim;Lin Zha;Jiande Jiang;Xinbo Gao;Wen Lu;Jing Liu;Kwangjin Yoon;Taegyun Jeon;Kazutoshi Akita;Takeru Ooba;Norimichi Ukita;Zhipeng Luo;Yuehan Yao;Zhenyu Xu;Dongliang He;Wenhao Wu;Yukang Ding;Chao Li;Fu Li;Shilei Wen;Jianwei Li;Fuzhi Yang;Huan Yang;Jianlong Fu;Byung-Hoon Kim;JaeHyun Baek;Jong Chul Ye;Yuchen Fan;Thomas S. Huang;Junyeop Lee;Bokyeung Lee;Jungki Min;Gwantae Kim;Kanghyu Lee;Jaihyun Park;Mykola Mykhailych;Haoyu Zhong;Yukai Shi;Xiaojun Yang;Zhijing Yang;Liang Lin;Tongtong Zhao;Jinjia Peng;Huibing Wang;Zhi Jin;Jiahao Wu;Yifu Chen;Chenming Shang;Huanrong Zhang;Jeongki Min;P.S. Hrishikesh;Densen Puthussery;C.V. Jiji

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2020 | Conference Paper |

Multi-Task Learning Via SA-FPN and EJ-Head

Feng Ni;Zhipeng Luo;Xixin Cao;Zhenyu Xu;Yuehan Yao

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2020 | Conference Paper |

HTML

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 extraction and multi-scale features integration to handle objects with varied scales. We address this problem by using a novel neck module called SA-FPN (Scale...Show More

Multi-Task Learning Via SA-FPN and EJ-Head

Feng Ni;Zhipeng Luo;Xixin Cao;Zhenyu Xu;Yuehan Yao

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2020 | Conference Paper |

VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results

Pengfei Zhu;Dawei Du;Longyin Wen;Xiao Bian;Haibin Ling;Qinghua Hu;Tao Peng;Jiayu Zheng;Xinyao Wang;Yue Zhang;Liefeng Bo;Hailin Shi;Rui Zhu;Bing Dong;Dheeraj Reddy Pailla;Feng Ni;Guangyu Gao;Guizhong Liu;Haitao Xiong;Jing Ge;Jingkai Zhou;Jinrong Hu;Lin Sun;Long Chen;Martin Lauer;Qiong Liu;Sai Saketh Chennamsetty;Ting Sun;Tong Wu;Varghese Alex Kollerathu;Wei Tian;Weida Qin;Xier Chen;Xingjie Zhao;Yanchao Lian;Yinan Wu;Ying Li;Yingping Li;Yiwen Wang;Yuduo Song;Yuehan Yao;Yunfeng Zhang;Zhaoliang Pi;Zhaotang Chen;Zhenyu Xu;Zhibin Xiao;Zhipeng Luo;Ziming Liu

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Year: 2019 | Conference Paper |

Cited by: Papers (57)

HTML

Video object detection has drawn great attention recently. The Vision Meets Drone Object Detection in Video Challenge 2019 (VisDrone-VID2019) is held to advance the state-of-the-art in video object detection for videos captured by drones. Specifically, there are 13 teams participating the challenge. We also report the results of 6 state-of-the-art detectors on the collected dataset. A short descri...Show More

VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results

Pengfei Zhu;Dawei Du;Longyin Wen;Xiao Bian;Haibin Ling;Qinghua Hu;Tao Peng;Jiayu Zheng;Xinyao Wang;Yue Zhang;Liefeng Bo;Hailin Shi;Rui Zhu;Bing Dong;Dheeraj Reddy Pailla;Feng Ni;Guangyu Gao;Guizhong Liu;Haitao Xiong;Jing Ge;Jingkai Zhou;Jinrong Hu;Lin Sun;Long Chen;Martin Lauer;Qiong Liu;Sai Saketh Chennamsetty;Ting Sun;Tong Wu;Varghese Alex Kollerathu;Wei Tian;Weida Qin;Xier Chen;Xingjie Zhao;Yanchao Lian;Yinan Wu;Ying Li;Yingping Li;Yiwen Wang;Yuduo Song;Yuehan Yao;Yunfeng Zhang;Zhaoliang Pi;Zhaotang Chen;Zhenyu Xu;Zhibin Xiao;Zhipeng Luo;Ziming Liu

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Year: 2019 | Conference Paper |

Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head

Feng Ni;Yuehan Yao

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Year: 2019 | Conference Paper |

HTML

As a concise and classic framework for object detection and instance segmentation, Mask R-CNN achieves promising performance in both two tasks.However, considering stronger feature representation for Mask R-CNN fashion framework, there is room for improvement from two aspects. On the one hand, performing multi-task prediction needs more credible feature extraction and multi-scale features integrat...Show More

Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head

Feng Ni;Yuehan Yao

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Year: 2019 | Conference Paper |

VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results

Longyin Wen;Pengfei Zhu;Dawei Du;Xiao Bian;Haibin Ling;Qinghua Hu;Jiayu Zheng;Tao Peng;Xinyao Wang;Yue Zhang;Liefeng Bo;Hailin Shi;Rui Zhu;Ajit Jadhav;Bing Dong;Brejesh Lall;Chang Liu;Chunhui Zhang;Dong Wang;Feng Ni;Filiz Bunyak;Gaoang Wang;Guizhong Liu;Guna Seetharaman;Guorong Li;Hákan Ardö;Haotian Zhang;Hongyang Yu;Huchuan Lu;Jenq-Neng Hwang;Jiatong Mu;Jinrong Hu;Kannappan Palaniappan;Long Chen;Lu Ding;Martin Lauer;Mikael Nilsson;Noor M. Al-Shakarji;Prerana Mukherjee;Qingming Huang;Robert Laganière;Shuhao Chen;Siyang Pan;Vinay Kaushik;Wei Shi;Wei Tian;Weiqiang Li;Xin Chen;Xinyu Zhang;Yanting Zhang;Yanyun Zhao;Yong Wang;Yuduo Song;Yuehan Yao;Zhaotang Chen;Zhenyu Xu;Zhibin Xiao;Zhihang Tong;Zhipeng Luo;Zhuojin Sun

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Year: 2019 | Conference Paper |

Cited by: Papers (16)

HTML

The Vision Meets Drone Multiple Object Tracking (MOT) Challenge 2019 is the second annual activity focusing on evaluating multi-object tracking algorithms on drones, held in conjunction with the 17-th International Conference on Computer Vision (ICCV 2019). Results of 12 submitted MOT algorithms on the collected drone-based dataset are presented. Meanwhile, we also report the results of 6 state-of...Show More

VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results

Longyin Wen;Pengfei Zhu;Dawei Du;Xiao Bian;Haibin Ling;Qinghua Hu;Jiayu Zheng;Tao Peng;Xinyao Wang;Yue Zhang;Liefeng Bo;Hailin Shi;Rui Zhu;Ajit Jadhav;Bing Dong;Brejesh Lall;Chang Liu;Chunhui Zhang;Dong Wang;Feng Ni;Filiz Bunyak;Gaoang Wang;Guizhong Liu;Guna Seetharaman;Guorong Li;Hákan Ardö;Haotian Zhang;Hongyang Yu;Huchuan Lu;Jenq-Neng Hwang;Jiatong Mu;Jinrong Hu;Kannappan Palaniappan;Long Chen;Lu Ding;Martin Lauer;Mikael Nilsson;Noor M. Al-Shakarji;Prerana Mukherjee;Qingming Huang;Robert Laganière;Shuhao Chen;Siyang Pan;Vinay Kaushik;Wei Shi;Wei Tian;Weiqiang Li;Xin Chen;Xinyu Zhang;Yanting Zhang;Yanyun Zhao;Yong Wang;Yuduo Song;Yuehan Yao;Zhaotang Chen;Zhenyu Xu;Zhibin Xiao;Zhihang Tong;Zhipeng Luo;Zhuojin Sun

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Year: 2019 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.