HTCV Workshop Call for Papers


CFP: HTCV Workshop in Conjunction With ICCV2021

HTCV Workshop in Conjunction With ICCV2021
17 October, 2021, Virtually


- Submission Deadline:  8 August, 2021 (11:59PM Pacific Time)
- Decision to Authors: 21 August, 2021 (11:59PM Pacific Time)
- Camera-ready Due: TBD
- Workshop Data: 17 October, 2021



How to define, pursue and evaluate trustworthy technologies for
human-centric computer vision tasks?  With the rapid technical
progress in computer vision and the spread of vision-based
applications over the past several years, the human-centric computer
vision technologies, such as person re-identification, face
recognition, action recognition, etc., are quickly becoming an
essential enabler for many fields. Although, it brings great value to
individuals and society, it is also encounters a variety of novel
ethical, legal, social, and security challenges. In ICCV 2021, we are
organizing The First International Workshop on Human-centric
Trustworthy Computer Vision: From Research to Applications (HTCV2021)
that brings researchers together to discuss human-oriented, fair,
robust, interpretable, and responsible vision technologies. We hope
the workshop offer a timely collection of research updates to benefit
the researchers and practitioners working in the broad computer
vision, pattern recognition, and trustworthy AI communities. We
solicit original research and survey papers, with a best paper award,
in (but not limited to) the following topics:

- Adversarial attack and defense in face recognition and person re-identification
- Explainable face and body analysis, generation and edition
- Robust human body and face representation learning
- Face anti-spoofing and deep-fake detection
- Robust gait and action recognition
- Secured federated learning
- Robustness against evolving attacks in computer vision
- Fairness analysis for data and models of face or human recognition
- Trustworthy algorithms, frameworks, and tools for Human-centric
Trustworthy Computer Vision

The top ranking papers will be recommended to ACM TOMM Special Issue.



- Invited Speakers

Angjoo Kanazawa, UC Berkeley, USA
Zhen Lei, NLPR, CASIA, China
Karthik Nandakumar, MUZUAI, Abu Dhabi
Albert Ali Salah, Utrecht University, Netherlands

- Organizers
Jingen Liu, JD AI Research, USA
Sifei Liu, Nvidia Research, USA
Wu Liu, JD AI Research, China
Nicu Sebe, UniTN, Italy
Hailin Shi, JD AI Research, China

- Committee Chairs
Qian Bao, JD AI Research, China
Yibo Hu, JD AI Research, China

- Advisory Board
Michael Black, MPI-IS, Germany
Larry Davis, UM, USA
Xiaoming Liu, MSU, USA
Tao Mei, JD AI Research, China
Yaser Sheikh, CMU, USA