Detail publikačního výsledku

SVC 2025 Chairs’ Welcome

YU, Z.; LIU, X.; DAMER, N.; FAN, D.; SHI, J.; GUO, X.; LIN, X.; WEN, B.; KONG, A.; KÄLVIÄINEN, H.; SCHULLER, B.; CAO, X.

Originální název

SVC 2025 Chairs’ Welcome

Anglický název

SVC 2025 Chairs’ Welcome

Druh

Konferenční sborník (ne stať)

Originální abstrakt

It is our great pleasure to welcome you to the 1st Workshop & Challenge on Subtle Visual Computing (SVC). This workshop aims to explore how imperceptible or weak signals in visual data—often overlooked by the human eye—can reveal critical information for understanding complex environments. SVC provides a dedicated forum for presenting novel theories, algorithms, and applications that advance the detection, analysis, and interpretation of subtle visual cues. The mission of SVC is to bring together researchers and practitioners from diverse communities, including computer vision, pattern recognition, affective computing, and medical imaging, to exchange insights, foster collaborations, and identify new research directions in this rapidly growing field. The call for papers attracted 7 submissions, and the SVC Challenge successfully engaged 21 participating teams. We are also delighted to feature a set of keynote and invited talks by distinguished scholars, who will provide valuable perspectives and stimulate discussions on the future of subtle visual computing: SVC Opening Plenary Talk, Zitong Yu (who is currently at Great Bay University) When the Computers Spot the Lie (and Humans Don't), Rada Mihalcea (who is currently at University of Michigan) Seeing the Unseen: Unsupervised Learning for Remote Plethysmography and Its Applications in Deception and Liveness Detection, Adam Czajka (who is currently at University of Notre Dame)

Anglický abstrakt

It is our great pleasure to welcome you to the 1st Workshop & Challenge on Subtle Visual Computing (SVC). This workshop aims to explore how imperceptible or weak signals in visual data—often overlooked by the human eye—can reveal critical information for understanding complex environments. SVC provides a dedicated forum for presenting novel theories, algorithms, and applications that advance the detection, analysis, and interpretation of subtle visual cues. The mission of SVC is to bring together researchers and practitioners from diverse communities, including computer vision, pattern recognition, affective computing, and medical imaging, to exchange insights, foster collaborations, and identify new research directions in this rapidly growing field. The call for papers attracted 7 submissions, and the SVC Challenge successfully engaged 21 participating teams. We are also delighted to feature a set of keynote and invited talks by distinguished scholars, who will provide valuable perspectives and stimulate discussions on the future of subtle visual computing: SVC Opening Plenary Talk, Zitong Yu (who is currently at Great Bay University) When the Computers Spot the Lie (and Humans Don't), Rada Mihalcea (who is currently at University of Michigan) Seeing the Unseen: Unsupervised Learning for Remote Plethysmography and Its Applications in Deception and Liveness Detection, Adam Czajka (who is currently at University of Notre Dame)

Klíčová slova

subtle visual signals micro-expressions, micro-gestures, representation learning, understanding complex environments

Klíčová slova v angličtině

subtle visual signals micro-expressions, micro-gestures, representation learning, understanding complex environments

Autoři

YU, Z.; LIU, X.; DAMER, N.; FAN, D.; SHI, J.; GUO, X.; LIN, X.; WEN, B.; KONG, A.; KÄLVIÄINEN, H.; SCHULLER, B.; CAO, X.

Rok RIV

2026

Vydáno

21.11.2025

Nakladatel

Association for Computing Machinery, Inc

ISBN

9798400718373

Kniha

Svc 2025 Proceedings of the 1st International Workshop and Challenge on Subtle Visual Computing Co Located with mm 2025

Strany od

iii