HK
General Chair
Organizers
ICCV 2025
GM
General Chair
Gerard Medioni
DS
General Chair
Dimitris Samaras
JY
General Chair
Jingyi Yu
General Chair
Ramin Zabih
Program Chair
Bohyung Han
AK
Program Chair
Aniruddha Kembhavi
RS
Program Chair
Richard Souvenir
DS
Program Chair
Deqing Sun
AT
Program Chair
Ayellet Tal
JW
Program Chair
Jingdong Wang
Advisor to the Program Committee
David Forsyth
LF
Tutorial Chair
Lijie Fan
TG
Tutorial Chair
Tejas Gokhale
JZ
Tutorial Chair
Jun-Yan Zhu
VA
Workshop Chair
Vitor Albiero
BG
Workshop Chair
Boqing Gong
SH
Workshop Chair
Seunghoon Hong
JT
Workshop Chair
James Tompkin
MV
Workshop Chair
Maria Vakalopoulou
Demonstration Chair
Huaizu Jiang
LW
Demonstration Chair
Luca Weihs
PC
Broadening Participation Chair
Paola Cascante-Bonilla
MH
Broadening Participation Chair
Mahdi Hosseini
Broadening Participation Chair
Vicky Kalogeiton
Vicky Kalogeiton (HDR) has been an Assistant Professor at École Polytechnique since 2020. Before, she was a research fellow at the University of Oxford, working with A.Zisserman. In 2017, she obtained her PhD from the University of Edinburgh and Inria, Grenoble, where part of her thesis won the best poster award from the Grenoble Alpes University. She received her M.Sc degree in Computer Science from DUTh, Greece in 2013, being awarded the best master thesis award. Since 2021, V.Kalogeiton has received several awards for projects she supervised including a highlight at CVPR 2024, a student honorable mention award at ACCV 2022, and the best paper award at ICCV-W 2021 and grants, including two MS Azure Academic gifts, and an ANR JCJC award for junior researchers in France. She was Associate Editor for CMBBE from 2017 to 2024 and has been Associate Editor for CVIU since 2024. Since 2021, she has been serving regularly as Area Chair at major vision conferences (outstanding Area Chair in 2022) and before she used to serve as a reviewer, having been awarded six times as an outstanding reviewer. Her research interests focus on multimodal generation by using visual data, text, and audio.
Vicky Kalogeiton (HDR) has been an Assistant Professor at École Polytechnique since 2020. Before, she was a research fellow at the University of Oxford, working with A.Zisserman. In 2017, she obtained her PhD from the University of Edinburgh and Inria, Grenoble, where part of her thesis won the best poster award from the Grenoble Alpes University. She received her M.Sc degree in Computer Science from DUTh, Greece in 2013, being awarded the best master thesis award. Since 2021, V.Kalogeiton has received several awards for projects she supervised including a highlight at CVPR 2024, a student honorable mention award at ACCV 2022, and the best paper award at ICCV-W 2021 and grants, including two MS Azure Academic gifts, and an ANR JCJC award for junior researchers in France. She was Associate Editor for CMBBE from 2017 to 2024 and has been Associate Editor for CVIU since 2024. Since 2021, she has been serving regularly as Area Chair at major vision conferences (outstanding Area Chair in 2022) and before she used to serve as a reviewer, having been awarded six times as an outstanding reviewer. Her research interests focus on multimodal generation by using visual data, text, and audio.
LL
Broadening Participation Chair
Lingjie Liu
SL
Broadening Participation Chair
Si Liu
YM
Broadening Participation Chair
Yael Moses
TR
Broadening Participation Chair
Tamar Rott Shaham
SX
Broadening Participation Chair
Saining Xie
Technical Chair
Yoshitomo Matsubara
Dr. Yoshitomo Matsubara is a Research Scientist at Yahoo! and an ML OSS developer. He completed the Ph.D. program in Computer Science at University of California, Irvine (UCI) and worked on deep learning for resource-constrained edge computing systems with Profs. Marco Levorato, Stephan Mandt, and Sameer Singh. Before UCI, he obtained his Master and Bachelor degrees at University of Hyogo and National Institute of Technology, Akashi College, Japan, respectively.
His main research interests are in machine learning, natural language processing, computer vision, information retrieval, and symbolic regression. For deep learning, his main interests are in knowledge distillation and supervised compression. He is also a developer of ML OSS: torchdistill and sc2bench.
Dr. Yoshitomo Matsubara is a Research Scientist at Yahoo! and an ML OSS developer. He completed the Ph.D. program in Computer Science at University of California, Irvine (UCI) and worked on deep learning for resource-constrained edge computing systems with Profs. Marco Levorato, Stephan Mandt, and Sameer Singh. Before UCI, he obtained his Master and Bachelor degrees at University of Hyogo and National Institute of Technology, Akashi College, Japan, respectively.
His main research interests are in machine learning, natural language processing, computer vision, information retrieval, and symbolic regression. For deep learning, his main interests are in knowledge distillation and supervised compression. He is also a developer of ML OSS: torchdistill and sc2bench.
PK
Publications Coordinator
Patrick Kellenberger
Ombud
David Forsyth
Finance Chair
Walter Scheirer
TG
Doctoral Consortium Chair
Tanmay Gupta
AK
Doctoral Consortium Chair
Anna Kukleva
Local Chair
Huaijin Chen
Computational Imaging Lead @ Vayu Robotics
Computational Imaging Lead @ Vayu Robotics
Publicity Chair
Kosta Derpanis
Publicity Chair
Antonio Furnari
NR
Publicity Chair
Nataniel Ruiz
Publicity Chair
Yael Vinker
Publicity Chair
Siyu Zhu
LC
Web Developer
Lee Campbell
Web Developer
Tony Manzo
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Here to support you for mobile, chat and website issues during the conference.
Conference Producer
Nicole Finn
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