July 23, 2021: We have postponed the submission deadline by one week.
July 23, 2021: The top ranking papers will be recommended to ACM TOMM Special Issue.
June 23, 2021:  The CMT submissions website: https://cmt3.research.microsoft.com/HTCV2021
June 15, 2021:  The workshop date is presented.
May 10, 2021: The website is coming. Call for papers.
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. Particularly, in recent years, the multiple multimedia sensing technologies as well as the large-scale computing and storage infrastructures are stimulating at a rapid velocity a wide variety of human-centric big data, which provides rich knowledge to help the development of these applications. Meanwhile, such data contains a large amount of personal private information, bringing concerns about the safety and trustworthiness of computer vision technologies. Consequently, trustworthy computer vision has been attracting an increasing attention from academia and industry. It focuses on human-oriented, fair, robust, interpretable, and responsible vision technologies, and is also at the core of the next-generation artificial intelligence (AI). The goal of this workshop is to: 1) bring together the state-of-the-art research on human-centric vision analysis for trustworthy AI; 2) call for a coordinated effort to understand the opportunities and challenges emerging in human-centric trustworthy vision technologies; 3) explore the fairness, robustness, interpretability and accountability oriented to human; 4) showcase innovative methodologies and ideas; 5) introduce interesting real-world human-oriented trustworthy systems and applications; 6) give insight into industry’s practice of trustworthy AI for human-centric vision and discuss future directions. We solicit original contributions in all fields of trustworthy human analysis to help us better understand the nature of vision algorithms for real-world applications. 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 invite submissions for ICCV 2021 Workshop, Human-centric Trustworthy Computer Vision: From Research to Applications (HTCV2021), that brings researchers together to discuss human-oriented, fair, robust, interpretable, and responsible technologies for human-centric vision analysis. We solicit original research and survey papers from 5 to 8 pages (excluding references and appendices). Each submitted paper will be double-blind peer reviewed by at least three reviewers. All accepted papers will be presented as either oral or poster presentations, with a best paper award, and appear in the CVF open access archive.
Papers submission is through HTCV2021 CMT and must follow the same policies and submission guidelines described in ICCV'21 Author Guidelines. Papers that violates the anonymity, do not use the ICCV submission template or have more than 8 pages (excluding references and appendices) will be rejected without review. In submitting a manuscript to this workshop, the authors acknowledge that no paper substantially similar in content has been submitted to another workshop or conference during the review period.
The scope of this workshop includes, but is not limited to, the following topics:
The top ranking papers will be recommended to ACM TOMM Special Issue.
|Description||Date (Pacific Time)|
|Submission Deadline||August 8, 2021 (11:59PM)|
|Decisions to Authors||August 14, 2021 (11:59PM)|
|Camera-ready Due||August 18, 2021 (11:59PM)|
|Workshop Date||October 17, 2021 (Afternoon)|
|1:00 PM-1:10 PM||Opening||Host|
|1:10 PM-1:55 PM||Invited speak 1||"Physical and digital fake face detection" Zhen Lei|
|1:55 PM-2:40 PM||Invited speak 2||"Probabilistic Modeling for Human Mesh Recovery" Georgios Pavlakos|
|2:40 PM-3:25 PM||Invited speak 3||"Pitfalls on the Road to Trust in Computer Vision" Karthik Nandakumar|
|3:25 PM-4:10 PM||Invited speak 4||"Challenges of Creating Affective Computational Tools for
Behavioral and Clinical Sciences" Albert Ali Salah
|4:10 PM-4:25 PM||Oral presentation 1||“Multi-Perspective Features Learning for Face Anti-Spoofing”|
|4:25 PM-4:40 PM||Oral presentation 2||“Rethinking Common Assumptions to Mitigate Racial Bias in
Face Recognition Datasets”
|4:40 PM-4:55 PM||Oral presentation 3||“Transformer Meets Part Model: Adaptive Part Division for
|4:55 PM-5:10 PM||Oral presentation 4||“SVEA: A Small-scale Benchmark for Validating the Usability of
Post-hoc Explainable AI Solutions in Image and Signal Recognition”
|5:10 PM-5:20 PM||Best Paper Announcement||Host|
|5:20 PM-5:55 PM||Poster presentation||Pre-recorded videos|
|5:55 PM-6:00 PM||Ending||Host|
If you have any questions, feel free to contact < firstname.lastname@example.org >
The workshop is organized in collaboration with JD AI Research, NVIDIA Research, University of Trento
and State Key Laboratory of Communication Content Cognition, People's Daily Online.