(WACV 2024) 2024 IEEE/CVF Winter Conference on Applications of Computer Vision

Systems EngineeringNetworksinformation scienceImage ProcessingITdata mining & big datacomputingsoftwareartificial intelligenceCommunication EngineeringComputer Science and Technologies

Conference Date

Jan 01-10, 2024

Place

Hawaii, The United States

Submission Deadline

Sep 01, 2023

E-mail

wacv2024-pcs@googlegroups.com

Telephone

Description

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) provides a forum for computer vision researchers working on practical applications and innovative algorithms to share their latest developments. WACV 2024 solicits high-quality, original submissions describing research in computer vision, with a particular emphasis on systems and applications with significant, interesting vision components.

Application areas include, but are not limited to:

Agriculture
Animals and Insects
Arts, games, and social media
Autonomous driving
Biomedical, healthcare, and medicine
Commercial and retail
Education
Embedded sensing and real-time techniques
Environmental monitoring, climate change, and ecology
Food science and nutrition
Psychology and cognitive science
Remote sensing
Robotics
Smartphones and end-user devices
Social good
Structural engineering and civil engineering
Virtual and augmented reality
Visualization
Authors are also encouraged to submit more traditional computer vision algorithms papers. Topics of interest include, but are not limited to:

3D computer vision
Adversarial learning, adversarial attack, and defense methods
Biometrics, face, gesture, and body pose
Computational photography
Generative models for image, video, 3D, etc.
Datasets and evaluations
Explainable, fair, accountable, privacy-preserving, and ethical computer vision
Image recognition and understanding (object detection, categorization, segmentation, scene modeling, visual reasoning)
Low-level and physics-based vision
Machine learning architectures, formulations, and algorithms (including transfer, low-shot, semi-, self-, and unsupervised learning)
Video recognition and understanding (tracking, action recognition, etc.)
Vision + language and/or other modalities
All submissions will be handled electronically through CMT: https://cmt3.research.microsoft.com/WACV2024

Papers can be submitted to either the applications or the algorithms tracks, which will have different review criteria. Applications papers will be evaluated on systems-level innovation, novelty of the domain and comparative assessment. Algorithms papers will be evaluated according to the standard conference criteria including algorithmic novelty and quantified evaluation against current, alternative approaches.