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Allen Lu - IEEE Xplore Author Profile

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Author details

Allen Lu

Publications

5

Citations

107

Publications by Year

20182021

Co-Authors:

Pierre AblinShawn S. AhnXènia AlbàMartino AlessandriniJack Allen

Show All Co-Authors (50)

Allen Lu

Affiliation

Department of Biomedical Engineering

Yale University

New Haven, CT, USA

Publication Topics

Left Ventricular,
Motion Estimation,
Cardiac Motion,
Displacement Estimation,
Displacement Field,
Left Anterior Descending,
Motion Tracking,
Root Mean Square Error,
Semi-supervised Learning,
Ultrasound Imaging,
10-fold Cross-validation Scheme,
3D Images

Biography

Allen Lu received the B.S. degree in electrical engineering from Rice University, Houston, TX, USA. He is currently pursuing the Ph.D. degree in biomedical engineering with the Image Processing and Analysis Group, Yale University. His research interests include the intelligent regularization of cardiac motion tracking in 3-D+time echocardiography.(Based on document published on 13 March 2018).

Publications

5

Citations

107

Publications by Year

20182021

Co-Authors:

Pierre Ablin
Shawn S. Ahn
Xènia Albà
Martino Alessandrini
Jack Allen

Show All Co-Authors (50)

Author's Published Works

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Showing 1-6 of 6 results

Conferences (5)

Journals (1)

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Single Year
Matej Kristan(6)
Martin Danelljan(3)
Huchuan Lu(3)
Gustavo Fernández(3)
Michael Felsberg(3)
University of Ljubljana, Slovenia(3)
University of Science and Technology of China, China(3)
Austrian Institute of Technology, Austria(3)
Czech Technical University, Czech Republic(3)
Linköping University, Sweden(3)
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)(1)
2017 IEEE International Conference on Computer Vision (ICCV)(1)
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)(1)
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)(1)
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)(1)
IEEE(6)
Media(1)
Venice, Italy(2)
Honolulu, HI, USA(1)
Montreal, BC, Canada(1)
Paris, France(1)
Bounding Box(6)
Tracking Performance(5)
Camera Motion(4)
Correlation Filter(4)
Performance Measures(4)

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Results

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results

Matej Kristan;Jiří Matas;Martin Danelljan;Michael Felsberg;Hyung Jin Chang;Luka Čehovin Zajc;Alan Lukežič;Ondrej Drbohlav;Zhongqun Zhang;Khanh-Tung Tran;Xuan-Son Vu;Johanna Björklund;Christoph Mayer;Yushan Zhang;Lei Ke;Jie Zhao;Gustavo Fernández;Noor Al-Shakarji;Dong An;Michael Arens;Stefan Becker;Goutam Bhat;Sebastian Bullinger;Antoni B. Chan;Shijie Chang;Hanyuan Chen;Xin Chen;Yan Chen;Zhenyu Chen;Yangming Cheng;Yutao Cui;Chunyuan Deng;Jiahua Dong;Matteo Dunnhofer;Wei Feng;Jianlong Fu;Jie Gao;Ruize Han;Zeqi Hao;Jun-Yan He;Keji He;Zhenyu He;Xiantao Hu;Kaer Huang;Yuqing Huang;Yi Jiang;Ben Kang;Jin-Peng Lan;Hyungjun Lee;Chenyang Li;Jiahao Li;Ning Li;Wangkai Li;Xiaodi Li;Xin Li;Pengyu Liu;Yue Liu;Huchuan Lu;Bin Luo;Ping Luo;Yinchao Ma;Deshui Miao;Christian Micheloni;Kannappan Palaniappan;Hancheol Park;Matthieu Paul;HouWen Peng;Zekun Qian;Gani Rahmon;Norbert Scherer-Negenborn;Pengcheng Shao;Wooksu Shin;Elham Soltani Kazemi;Tianhui Song;Rainer Stiefelhagen;Rui Sun;Chuanming Tang;Zhangyong Tang;Imad Eddine Toubal;Jack Valmadre;Joost van de Weijer;Luc Van Gool;Jash Vira;Stèphane Vujasinović;Cheng Wan;Jia Wan;Dong Wang;Fei Wang;Feifan Wang;He Wang;Limin Wang;Song Wang;Yaowei Wang;Zhepeng Wang;Gangshan Wu;Jiannan Wu;Qiangqiang Wu;Xiaojun Wu;Anqi Xiao;Jinxia Xie;Chenlong Xu;Min Xu;Tianyang Xu;Yuanyou Xu;Bin Yan;Dawei Yang;Ming-Hsuan Yang;Tianyu Yang;Yi Yang;Zongxin Yang;Xuanwu Yin;Fisher Yu;Hongyuan Yu;Qianjin Yu;Weichen Yu;YongSheng Yuan;Zehuan Yuan;Jianlin Zhang;Lu Zhang;Tianzhu Zhang;Guodongfang Zhao;Shaochuan Zhao;Yaozong Zheng;Bineng Zhong;Jiawen Zhu;Xuefeng Zhu;Yueting Zhuang;ChengAo Zong;Kunlong Zuo

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. A new dataset was created; the ground truth has been withheld to prevent overfitti...Show More

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results

Matej Kristan;Jiří Matas;Martin Danelljan;Michael Felsberg;Hyung Jin Chang;Luka Čehovin Zajc;Alan Lukežič;Ondrej Drbohlav;Zhongqun Zhang;Khanh-Tung Tran;Xuan-Son Vu;Johanna Björklund;Christoph Mayer;Yushan Zhang;Lei Ke;Jie Zhao;Gustavo Fernández;Noor Al-Shakarji;Dong An;Michael Arens;Stefan Becker;Goutam Bhat;Sebastian Bullinger;Antoni B. Chan;Shijie Chang;Hanyuan Chen;Xin Chen;Yan Chen;Zhenyu Chen;Yangming Cheng;Yutao Cui;Chunyuan Deng;Jiahua Dong;Matteo Dunnhofer;Wei Feng;Jianlong Fu;Jie Gao;Ruize Han;Zeqi Hao;Jun-Yan He;Keji He;Zhenyu He;Xiantao Hu;Kaer Huang;Yuqing Huang;Yi Jiang;Ben Kang;Jin-Peng Lan;Hyungjun Lee;Chenyang Li;Jiahao Li;Ning Li;Wangkai Li;Xiaodi Li;Xin Li;Pengyu Liu;Yue Liu;Huchuan Lu;Bin Luo;Ping Luo;Yinchao Ma;Deshui Miao;Christian Micheloni;Kannappan Palaniappan;Hancheol Park;Matthieu Paul;HouWen Peng;Zekun Qian;Gani Rahmon;Norbert Scherer-Negenborn;Pengcheng Shao;Wooksu Shin;Elham Soltani Kazemi;Tianhui Song;Rainer Stiefelhagen;Rui Sun;Chuanming Tang;Zhangyong Tang;Imad Eddine Toubal;Jack Valmadre;Joost van de Weijer;Luc Van Gool;Jash Vira;Stèphane Vujasinović;Cheng Wan;Jia Wan;Dong Wang;Fei Wang;Feifan Wang;He Wang;Limin Wang;Song Wang;Yaowei Wang;Zhepeng Wang;Gangshan Wu;Jiannan Wu;Qiangqiang Wu;Xiaojun Wu;Anqi Xiao;Jinxia Xie;Chenlong Xu;Min Xu;Tianyang Xu;Yuanyou Xu;Bin Yan;Dawei Yang;Ming-Hsuan Yang;Tianyu Yang;Yi Yang;Zongxin Yang;Xuanwu Yin;Fisher Yu;Hongyuan Yu;Qianjin Yu;Weichen Yu;YongSheng Yuan;Zehuan Yuan;Jianlin Zhang;Lu Zhang;Tianzhu Zhang;Guodongfang Zhao;Shaochuan Zhao;Yaozong Zheng;Bineng Zhong;Jiawen Zhu;Xuefeng Zhu;Yueting Zhuang;ChengAo Zong;Kunlong Zuo

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Year: 2023 | Conference Paper |

The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan;Jiří Matas;Aleš Leonardis;Michael Felsberg;Roman Pflugfelder;Joni-Kristian Kämäräinen;Hyung Jin Chang;Martin Danelljan;Luka Čehovin Zajc;Alan Lukežič;Ondrej Drbohlav;Jani Käpylä;Gustav Häger;Song Yan;Jinyu Yang;Zhongqun Zhang;Gustavo Fernández;Mohamed Abdelpakey;Goutam Bhat;Llukman Cerkezi;Hakan Cevikalp;Shengyong Chen;Xin Chen;Miao Cheng;Ziyi Cheng;Yu-Chen Chiu;Ozgun Cirakman;Yutao Cui;Kenan Dai;Mohana Murali Dasari;Qili Deng;Xingping Dong;Daniel K. Du;Matteo Dunnhofer;Zhen-Hua Feng;Zhiyong Feng;Zhihong Fu;Shiming Ge;Rama Krishna Gorthi;Yuzhang Gu;Bilge Gunsel;Qing Guo;Filiz Gurkan;Wencheng Han;Yanyan Huang;Felix Järemo Lawin;Shang-Jhih Jhang;Rongrong Ji;Cheng Jiang;Yingjie Jiang;Felix Juefei-Xu;Yin Jun;Xiao Ke;Fahad Shahbaz Khan;Byeong Hak Kim;Josef Kittler;Xiangyuan Lan;Jun Ha Lee;Bastian Leibe;Hui Li;Jianhua Li;Xianxian Li;Yuezhou Li;Bo Liu;Chang Liu;Jingen Liu;Li Liu;Qingjie Liu;Huchuan Lu;Wei Lu;Jonathon Luiten;Jie Ma;Ziang Ma;Niki Martinel;Christoph Mayer;Alireza Memarmoghadam;Christian Micheloni;Yuzhen Niu;Danda Paudel;Houwen Peng;Shoumeng Qiu;Aravindh Rajiv;Muhammad Rana;Andreas Robinson;Hasan Saribas;Ling Shao;Mohamed Shehata;Furao Shen;Jianbing Shen;Kristian Simonato;Xiaoning Song;Zhangyong Tang;Radu Timofte;Philip Torr;Chi-Yi Tsai;Bedirhan Uzun;Luc Van Gool;Paul Voigtlaender;Dong Wang;Guangting Wang;Liangliang Wang;Lijun Wang;Limin Wang;Linyuan Wang;Yong Wang;Yunhong Wang;Chenyan Wu;Gangshan Wu;Xiao-Jun Wu;Fei Xie;Tianyang Xu;Xiang Xu;Wanli Xue;Bin Yan;Wankou Yang;Xiaoyun Yang;Yu Ye;Jun Yin;Chengwei Zhang;Chunhui Zhang;Haitao Zhang;Kaihua Zhang;Kangkai Zhang;Xiaohan Zhang;Xiaolin Zhang;Xinyu Zhang;Zhibin Zhang;Shaochuan Zhao;Ming Zhen;Bineng Zhong;Jiawen Zhu;Xue-Feng Zhu

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

Year: 2021 | Conference Paper |

Cited by: Papers (63)

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The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative. Results of 71 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2021 challenge was composed of four sub-challenges focusing on different tracking domains: (i) VOT-ST2021 challen...Show More

The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan;Jiří Matas;Aleš Leonardis;Michael Felsberg;Roman Pflugfelder;Joni-Kristian Kämäräinen;Hyung Jin Chang;Martin Danelljan;Luka Čehovin Zajc;Alan Lukežič;Ondrej Drbohlav;Jani Käpylä;Gustav Häger;Song Yan;Jinyu Yang;Zhongqun Zhang;Gustavo Fernández;Mohamed Abdelpakey;Goutam Bhat;Llukman Cerkezi;Hakan Cevikalp;Shengyong Chen;Xin Chen;Miao Cheng;Ziyi Cheng;Yu-Chen Chiu;Ozgun Cirakman;Yutao Cui;Kenan Dai;Mohana Murali Dasari;Qili Deng;Xingping Dong;Daniel K. Du;Matteo Dunnhofer;Zhen-Hua Feng;Zhiyong Feng;Zhihong Fu;Shiming Ge;Rama Krishna Gorthi;Yuzhang Gu;Bilge Gunsel;Qing Guo;Filiz Gurkan;Wencheng Han;Yanyan Huang;Felix Järemo Lawin;Shang-Jhih Jhang;Rongrong Ji;Cheng Jiang;Yingjie Jiang;Felix Juefei-Xu;Yin Jun;Xiao Ke;Fahad Shahbaz Khan;Byeong Hak Kim;Josef Kittler;Xiangyuan Lan;Jun Ha Lee;Bastian Leibe;Hui Li;Jianhua Li;Xianxian Li;Yuezhou Li;Bo Liu;Chang Liu;Jingen Liu;Li Liu;Qingjie Liu;Huchuan Lu;Wei Lu;Jonathon Luiten;Jie Ma;Ziang Ma;Niki Martinel;Christoph Mayer;Alireza Memarmoghadam;Christian Micheloni;Yuzhen Niu;Danda Paudel;Houwen Peng;Shoumeng Qiu;Aravindh Rajiv;Muhammad Rana;Andreas Robinson;Hasan Saribas;Ling Shao;Mohamed Shehata;Furao Shen;Jianbing Shen;Kristian Simonato;Xiaoning Song;Zhangyong Tang;Radu Timofte;Philip Torr;Chi-Yi Tsai;Bedirhan Uzun;Luc Van Gool;Paul Voigtlaender;Dong Wang;Guangting Wang;Liangliang Wang;Lijun Wang;Limin Wang;Linyuan Wang;Yong Wang;Yunhong Wang;Chenyan Wu;Gangshan Wu;Xiao-Jun Wu;Fei Xie;Tianyang Xu;Xiang Xu;Wanli Xue;Bin Yan;Wankou Yang;Xiaoyun Yang;Yu Ye;Jun Yin;Chengwei Zhang;Chunhui Zhang;Haitao Zhang;Kaihua Zhang;Kangkai Zhang;Xiaohan Zhang;Xiaolin Zhang;Xinyu Zhang;Zhibin Zhang;Shaochuan Zhao;Ming Zhen;Bineng Zhong;Jiawen Zhu;Xue-Feng Zhu

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

Year: 2021 | Conference Paper |

Performance Evaluation Methodology for Long-Term Single-Object Tracking

Alan Lukeźič;Luka Čehovin Zajc;Tomáš Vojíř;Jiří Matas;Matej Kristan

IEEE Transactions on Cybernetics

Year: 2021 | Volume: 51, Issue: 12 | Journal Article |

Cited by: Papers (19)

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A long-term visual object tracking performance evaluation methodology and a benchmark are proposed. Performance measures are designed by following a long-term tracking definition to maximize the analysis probing strength. The new measures outperform existing ones in interpretation potential and in better distinguishing between different tracking behaviors. We show that these measures generalize th...Show More

Performance Evaluation Methodology for Long-Term Single-Object Tracking

Alan Lukeźič;Luka Čehovin Zajc;Tomáš Vojíř;Jiří Matas;Matej Kristan

IEEE Transactions on Cybernetics

Year: 2021 | Volume: 51, Issue: 12 | Journal Article |

The Visual Object Tracking VOT2017 Challenge Results

Matej Kristan;Aleš Leonardis;Jiri Matas;Michael Felsberg;Roman Pflugfelder;Luka Cehovin Zajc;Tomás Vojír;Gustav Häger;Alan Lukežic;Abdelrahman Eldesokey;Gustavo Fernández;Álvaro García-Martín;A. Muhic;Alfredo Petrosino;Alireza Memarmoghadam;Andrea Vedaldi;Antoine Manzanera;Antoine Tran;Aydin Alatan;Bogdan Mocanu;Boyu Chen;Chang Huang;Changsheng Xu;Chong Sun;Dalong Du;David Zhang;Dawei Du;Deepak Mishra;Erhan Gundogdu;Erik Velasco-Salido;Fahad Shahbaz Khan;Francesco Battistone;Gorthi R. K. Sai Subrahmanyam;Goutam Bhat;Guan Huang;Guilherme Bastos;Guna Seetharaman;Hongliang Zhang;Houqiang Li;Huchuan Lu;Isabela Drummond;Jack Valmadre;Jae-chan Jeong;Jae-il Cho;Jae-Yeong Lee;Jana Noskova;Jianke Zhu;Jin Gao;Jingyu Liu;Ji-Wan Kim;João F. Henriques;Jose M. Martínez;Junfei Zhuang;Junliang Xing;Junyu Gao;Kai Chen;Kannappan Palaniappan;Karel Lebeda;Ke Gao;Kris M. Kitani;Lei Zhang;Lijun Wang;Lingxiao Yang;Longyin Wen;Luca Bertinetto;Mahdieh Poostchi;Martin Danelljan;Matthias Mueller;Mengdan Zhang;Ming-Hsuan Yang;Nianhao Xie;Ning Wang;Ondrej Miksik;P. Moallem;Pallavi M. Venugopal;Pedro Senna;Philip H. S. Torr;Qiang Wang;Qifeng Yu;Qingming Huang;Rafael Martín-Nieto;Richard Bowden;Risheng Liu;Ruxandra Tapu;Simon Hadfield;Siwei Lyu;Stuart Golodetz;Sunglok Choi;Tianzhu Zhang;Titus Zaharia;Vincenzo Santopietro;Wei Zou;Weiming Hu;Wenbing Tao;Wenbo Li;Wengang Zhou;Xianguo Yu;Xiao Bian;Yang Li;Yifan Xing;Yingruo Fan;Zheng Zhu;Zhipeng Zhang;Zhiqun He

2017 IEEE International Conference on Computer Vision Workshops (ICCVW)

Year: 2017 | Conference Paper |

Cited by: Papers (256)

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The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation whe...Show More

The Visual Object Tracking VOT2017 Challenge Results

Matej Kristan;Aleš Leonardis;Jiri Matas;Michael Felsberg;Roman Pflugfelder;Luka Cehovin Zajc;Tomás Vojír;Gustav Häger;Alan Lukežic;Abdelrahman Eldesokey;Gustavo Fernández;Álvaro García-Martín;A. Muhic;Alfredo Petrosino;Alireza Memarmoghadam;Andrea Vedaldi;Antoine Manzanera;Antoine Tran;Aydin Alatan;Bogdan Mocanu;Boyu Chen;Chang Huang;Changsheng Xu;Chong Sun;Dalong Du;David Zhang;Dawei Du;Deepak Mishra;Erhan Gundogdu;Erik Velasco-Salido;Fahad Shahbaz Khan;Francesco Battistone;Gorthi R. K. Sai Subrahmanyam;Goutam Bhat;Guan Huang;Guilherme Bastos;Guna Seetharaman;Hongliang Zhang;Houqiang Li;Huchuan Lu;Isabela Drummond;Jack Valmadre;Jae-chan Jeong;Jae-il Cho;Jae-Yeong Lee;Jana Noskova;Jianke Zhu;Jin Gao;Jingyu Liu;Ji-Wan Kim;João F. Henriques;Jose M. Martínez;Junfei Zhuang;Junliang Xing;Junyu Gao;Kai Chen;Kannappan Palaniappan;Karel Lebeda;Ke Gao;Kris M. Kitani;Lei Zhang;Lijun Wang;Lingxiao Yang;Longyin Wen;Luca Bertinetto;Mahdieh Poostchi;Martin Danelljan;Matthias Mueller;Mengdan Zhang;Ming-Hsuan Yang;Nianhao Xie;Ning Wang;Ondrej Miksik;P. Moallem;Pallavi M. Venugopal;Pedro Senna;Philip H. S. Torr;Qiang Wang;Qifeng Yu;Qingming Huang;Rafael Martín-Nieto;Richard Bowden;Risheng Liu;Ruxandra Tapu;Simon Hadfield;Siwei Lyu;Stuart Golodetz;Sunglok Choi;Tianzhu Zhang;Titus Zaharia;Vincenzo Santopietro;Wei Zou;Weiming Hu;Wenbing Tao;Wenbo Li;Wengang Zhou;Xianguo Yu;Xiao Bian;Yang Li;Yifan Xing;Yingruo Fan;Zheng Zhu;Zhipeng Zhang;Zhiqun He

2017 IEEE International Conference on Computer Vision Workshops (ICCVW)

Year: 2017 | Conference Paper |

Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking

Luka Cehovin Zajc;Alan Lukežic;Aleš Leonardis;Matej Kristan

2017 IEEE International Conference on Computer Vision (ICCV)

Year: 2017 | Conference Paper |

Cited by: Papers (11)

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Object-to-camera motion produces a variety of apparent motion patterns that significantly affect performance of short-term visual trackers. Despite being crucial for designing robust trackers, their influence is poorly explored in standard benchmarks due to weakly defined, biased and overlapping attribute annotations. In this paper we propose to go beyond pre-recorded benchmarks with post-hoc anno...Show More

Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking

Luka Cehovin Zajc;Alan Lukežic;Aleš Leonardis;Matej Kristan

2017 IEEE International Conference on Computer Vision (ICCV)

Year: 2017 | Conference Paper |

Discriminative Correlation Filter with Channel and Spatial Reliability

Alan Lukežic;Tomáš Vojír;Luka Cehovin Zajc;Jirí Matas;Matej Kristan

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Year: 2017 | Conference Paper |

Cited by: Papers (715) | Patents (2)

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Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance.We introduce the channel and spatial reliability concepts to DCF tracking and provide a novel learning algorithm for its efficient and seamless integration in the filter update and the tracking process. The spatial reliability map adjusts the filter support to ...Show More

Discriminative Correlation Filter with Channel and Spatial Reliability

Alan Lukežic;Tomáš Vojír;Luka Cehovin Zajc;Jirí Matas;Matej Kristan

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Year: 2017 | Conference Paper |

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