Webinar GT11 HCI

Cordial saludo
Desdelel GT 11 de HCI y la Red HCI-Collab, invitamos al próximo Webinar HCI en Iberoamérica!

🗓️ 27 de agosto – 10:00 AM (COL)  
🎙️ Con Paula Alexandra Silva (Universidad de Coimbra, Portugal).

Tema: ✨ “Once a Gymnast, Always a Gymnast: Understanding Feedback in Rhythmic Gymnastics Training Through a Sports HCI Lens”

🔴 Transmisión en vivo por UNAD Virtual – YouTube  
👉 Conéctate aquí: https://youtube.com/live/9es_wXSu4rE?feature=share

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Slds
Cesar Collazos
Full Professor
Universidad del Cauca-Colombia

TrustVis @ BMVC 2026 – Trustworthy Visual AI for Online and Public Safety

Dear colleagues,
We are pleased to invite submissions to TrustVis: Trustworthy Visual AI for Online and Public Safety, a workshop at BMVC 2026, to be held on 26 November 2026 in Lancaster, UK.
The workshop brings together researchers working on trustworthy visual and multimodal AI, including deepfake and synthetic-media forensics, multimodal media integrity, harmful-content understanding, agentic AI safety, robustness and uncertainty, provenance, benchmarks, and real-world safety applications.
Target submission deadline: 12 September 2026
Workshop website: https://trustvis-bmvc2026.github.io/
We warmly welcome research papers, benchmark and dataset contributions, systems studies, and interdisciplinary work relevant to the workshop themes.
Please feel free to circulate this call among colleagues and students who may be interested. We look forward to your submissions and to welcoming you at BMVC 2026!
Best regards,
Dr Guangliang Cheng, Dr Zeyu Fu, Dr Jianbo Jiao, Prof Xiaowei Huang
on behalf of the TrustVis Organising Committee

DEADLINE EXTENDED – AAAI 2026 Fall Symposium on “Unifying Representations for Robot Application Development” (UR-RAD)

**DEADLINE EXTENDED 1 WEEK** The new deadline for paper submissions is August 31, 2026.
What:  AAAI 2026 Fall Symposium on Unifying Representations for Robot Application Development (UR-RAD)
When: November 5-7, 2026
Where: Arlington, VA
Dear colleagues,

We invite you to submit a paper and/or participate in the 4th AAAI Fall Symposium on Unifying Representations for Robot Application Development (UR-RAD). UR-RAD 2026 will be an in-person event.

Capturing a desired task or interaction as a computational artifact (i.e., a representation) has long played a pivotal role in robotics. Many robotic subfields have traditionally employed a variety of different representational techniques, such as LTL, planning languages, social representations, natural language, and many more. These representations, however,  lack cohesion in when and how they are applied. The 4th Symposium on Unifying Representations for Robot Application Development (UR-RAD) therefore aims to increase engagement between junior and senior researchers, elevate discussion between audiences and speakers, and provide unique avenues of interaction for all participants.

Symposium Website: ur-rad.github.io
AAAI Fall Symposium Series Website: https://aaai.org/conference/fall-symposia/2026-fall-symposium-series-2/

=========================
Submission Topics of Interest
=========================

– Representational trends 
– Natural language in robotics
– Novel representations & uses 
– AI planning for robotics 
– Formal methods in robotics 
– Representations for robot learning 
– Representations for UI 
– Robot EUD and programming
– Robot runtime/control environments 
– Opportunities for standardization 
– Frameworks (e.g., ROS or middleware) 
– Open-source & collaboration initiatives 
– Identifying representation requirements 
– Neurosymbolic representations
====================
Important Dates
====================
– EXTENDED Submission deadline: August 31, 2026 AoE
– Notification date: September 14, 2026
– Camera Ready Deadline: September 29, 2026
Authors are encouraged to submit earlier rather than later. Submissions should be anonymized for double-blind review. All papers will have the option to be archived in the AAAI Fall Symposium proceedings.
The submission link is here: https://easychair.org/conferences/?conf=fss26

====================
Submission Information
====================

We invite the following contributions, formatted using the AAAI-26 Author Kit:

– Full Papers (5-8 pages): Novel research, artifact submissions, or strong works in progress.
– Short Papers (2-4 pages): Positions, smaller artifacts, and early works in progress.
The symposium will also offer mentoring connections for early career researchers. Paper authors and junior members of the community who opt in will have the opportunity for extensive interaction with mentors, who will also guide discussions about individual papers.
If you intend to submit a paper, please email us at urrad.symposium@gmail.com. Use the subject line, “[UR-RAD] Intent to Submit”, and include the following in the body of the message: (1) a tentative title, (2) a tentative author list, and (3) tentative keywords. This step is optional, but will aid in our planning for reviewers. Note that at least one author from each paper will be expected to review 2-3 UR-RAD papers themselves.

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Organizing Committee
===================

David Porfirio (George Mason University)

Saad Elbeleidy (Peerbots)
Laura M. Hiatt (Naval Research Laboratory)
Cynthia Matuszek (University of Maryland, Baltimore County)
Ross Mead (Semio)
Andrew Schoen (Semio)
Laura Stegner (George Washington University)
Ruchen Wen (Colgate University)

Contact urrad.symposium@gmail.com for any questions!

Courses How to build yolov8 dental object detection model

For anyone studying computer vision and medical image analysis, applying deep learning to dental radiography presents distinct challenges in feature extraction and anatomical localization.

Dental radiographs often feature dense, overlapping structures, low contrast margins, and significant variation across imaging hardware. Manual landmark identification remains labor-intensive and susceptible to inter-observer variability. This tutorial utilizes YOLOv8 as a single-stage detector because it delivers high mean Average Precision (mAP) on closely packed, low-contrast bounding boxes while maintaining real-time inference speeds suitable for practical clinical pipelines and batch processing.

Detailed written explanation and source code: https://eranfeit.net/how-to-build-yolov8-dental-object-detection-model/

 

The end-to-end workflow begins by establishing an isolated PyTorch environment with CUDA acceleration. The dataset is structured into normalized YOLO-format annotations paired with a custom dataset configuration file. Before initiating model training, normalized bounding box coordinates are converted to pixel dimensions and rendered using OpenCV to verify annotation alignment against raw X-ray data. Once validated, the YOLOv8 architecture is trained on GPU, and the resulting weights are evaluated by comparing predicted bounding boxes against ground-truth annotations in a side-by-side visual analysis.

Reading on Medium: https://medium.com/object-detection-tutorials/how-to-build-yolov8-dental-object-detection-model-07ee6ee36296

Join my Newsletter : https://eranfeit.net/advance-your-skills-in-computer-vision-ai/

Deep-dive video walkthrough: https://youtu.be/mfv1ps-tHDk

This content is intended for educational purposes only. Constructive feedback, technical questions, and discussions regarding custom dataset training or model optimization are welcome in the comments.

Enjoy,
Eran

IEEE FG 2027 – Call for Special Session Proposals

We are pleased to announce the Call for Special Session Proposals for the 21st IEEE International Conference on Automatic Face and Gesture Recognition (FG 2027), which will take place April 26–30, 2027, in Marrakesh, Morocco.

FG 2027 marks an important milestone in the history of the conference series, as IEEE FG will be held in Africa for the first time.

Special Sessions provide an opportunity to highlight focused, emerging, and interdisciplinary research topics within the broader scope of face and gesture recognition, modeling, and analysis. Special Sessions are fully integrated into the main conference program. Papers submitted to Special Sessions will undergo the same rigorous peer-review process as regular submissions and, if accepted, will be included in the conference proceedings.

We particularly encourage proposals addressing emerging research directions, novel application domains, new challenges, and interdisciplinary topics that can bring new perspectives to the FG community.

Important Dates (AoE)

  • Special Session Proposal Deadline: September 1, 2026
  • Proposal Notification: September 8, 2026

Proposals should be sent to the FG 2027 Special Session Chairs, Benjamin Riggan and Aparna Bharti, at:

fg2027-sscs@googlegroups.com

Full details and submission guidelines are available on the FG 2027 website:

https://fg2027.ieee-biometrics.org/call-for-special-session-proposals-2/

We look forward to receiving your proposals and welcoming you to Marrakesh for FG 2027.

Best regards,

IEEE FG 2027 Organizing Committee

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