Registration Desk: Registration Mon 30 Sep 08:00 a.m.
Workshop: Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving: Towards Next-Generation Solutions Mon 30 Sep 09:00 a.m.
TWYN: Trust What You learN. 1st Workshop on Trustworthiness in Computer Vision Mon 30 Sep 09:00 a.m.
In an era of rapid advancements in Artificial Intelligence, the imperative to fosterx000D
Trustworthy AI has never been more critical. The first “Trust What You learNx000D
(TWYN)” workshop seeks to create a dynamic forum for researchers, practition-x000D
ers, and industry experts to explore and advance the intersection of Trustworthyx000D
AI and DeepFake Analysis within the realm of Computer Vision. The workshopx000D
aims to delve into the multifaceted dimensions of building AI systems that arex000D
not only technically proficient but also ethical, transparent, and accountable.x000D
The dual focus on Trustworthy AI and DeepFake Analysis reflects the work-x000D
shop’s commitment to addressing the challenges posed by the proliferation ofx000D
deep fake technologies while simultaneously promoting responsible AI practices.
Vision-Centric Autonomous Driving (VCAD) Workshop Mon 30 Sep 09:00 a.m.
Workshop: Wild3D: 3D Modeling, Reconstruction, and Generation in the Wild Mon 30 Sep 09:00 a.m.
1st Workshop on Neural Fields Beyond Conventional Cameras Mon 30 Sep 09:00 a.m.
Neural fields have been widely adopted for learning novel view synthesis and 3D reconstruction from RGB images by modeling transport of light in the visible spectrum. This workshop focuses on neural fields beyond conventional cameras, including (1) learning neural fields from data from different sensors across the electromagnetic spectrum and beyond, such as lidar, cryo-electron microscopy (cryoEM), thermal, event cameras, acoustic, and more, and (2) modeling associated physics-based differentiable forward models and/or the physics of more complex light transport (reflections, shadows, polarization, diffraction limits, optics, scattering in fog or water, etc.). Our goal is to bring together a diverse group of researchers using neural fields across sensor domains to foster learning and discussion in this growing area.
2nd Workshop on More Exploration, Less Exploitation (MELEX) Mon 30 Sep 09:00 a.m.
xAI4Biometrics at ECCV 2024 - 4th Workshop on Explainable & Interpretable Artificial Intelligence for Biometrics Mon 30 Sep 09:00 a.m.
2nd Workshop on Vision-based Industrial Inspection (VISION) Mon 30 Sep 09:00 a.m.
CV For Ecology Workshop (CV4E) Mon 30 Sep 09:00 a.m.
Workshop: Uncertainty Quantification for Computer Vision Mon 30 Sep 09:00 a.m.
This \textbf{UNcertainty quantification for Computer Vision (UNCV)} Workshop %aims to raise awareness about models, data, and prediction uncertainties to the vision communityx000D
aims to raise awareness and generate discussion regarding how predictive uncertainty can, and should, be effectively incorporated into models within the vision community. The workshop will bring together experts from machine learning and computer vision to create a new generation of well-calibrated and effective methods that \emph{`know when they do not know'}.
Vision for Art (VISART) VII Workshop Mon 30 Sep 09:00 a.m.
Tutorial: Gianni Franchi
A Bayesian Odyssey in Uncertainty: from Theoretical Foundations to Real-World Applications
Bio :Dense Neural SLAM Workshop (NeuSLAM) Mon 30 Sep 09:00 a.m.
The 3rd Workshop for Out-of-Distribution Generalization in Computer Vision Foundation Models Mon 30 Sep 09:00 a.m.
Workshop: Instance-Level Recognition Mon 30 Sep 09:00 a.m.
Workshop: Computational Aspects of Deep Learning Mon 30 Sep 09:00 a.m.
Workshop: Map-free Visual Relocalization Mon 30 Sep 09:00 a.m.
The Map-free Visual Relocalization workshop investigates topics related to metric visual relocalization relative to a single reference image instead of relative to a map. This problem is of major importance to many higher level applications, such as Augmented/Mixed Reality, SLAM and 3D reconstruction. It is important now, because both industry and academia are debating whether and how to build HD-maps of the world for those tasks. Our community is working to reduce the need for such maps in the first place.x000D
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We host the first Map-free Visual Relocalization Challenge 2024 competition with two tracks: map-free metric relative pose from a single image to a single image (proposed by Arnold et al. in ECCV 2022) and from a query sequence to a single image (new). While the former is a more challenging and thus interesting research topic, the latter represents a more realistic relocalization scenario, where the system making the queries may fuse information from query images and tracking poses over a short amount of time and baseline. We invite papers to be submitted to the workshop.
Workshop: Large-scale Video Object Segmentation Mon 30 Sep 02:00 p.m.
AI3DCC: The Second Workshop of AI for 3D Content Creation Mon 30 Sep 02:00 p.m.
Workshop: Observing and Understanding Hands in Action Mon 30 Sep 02:00 p.m.
Our HANDS workshop will gather vision researchers working on perceiving hands performing actions, including 2D & 3D hand detection, segmentation, pose/shape estimation, tracking, etc. We will also cover related applications including gesture recognition, hand-object manipulation analysis, hand activity understanding, and interactive interfaces. x000D
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The eighth edition of this workshop will emphasize the use of large foundation models (e.g., CLIP, Point-E, Segment Anything, Latent Diffusion Models) for hand-related tasks. These models have revolutionized the perceptions of AI, and demonstrate groundbreaking contributions to multimodal understanding, zero-shot learning, and transfer learning. However, there remains an untapped potential for exploring their applications in hand-related tasks. Our offical website is https://hands-workshop.org.