Computer Vision – ECCV 2024 Workshops

Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXIII

AvAlessio Del Bue,Cristian Canton

Häftad, Engelska, 2025

Del 15645 i serien Lecture Notes in Computer Science

998 kr

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Beskrivning

The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29–October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.

Produktinformation

Utgivningsdatum:2025-05-26
Mått:155 x 235 x 20 mm
Vikt:546 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:306
Förlag:Springer International Publishing AG
ISBN:9783031919886
Originaltitel:Computer Vision – ECCV 2024 Workshops

Utforska kategorier

Innehållsförteckning

Few-shot Novel View Synthesis using Depth Aware 3D Gaussian Splatting.- On Scaling Up 3D Gaussian Splatting Training.- AEPnP: A Less-constrained EPnP Solver for Pose Estimation with Anisotropic Scaling.- Scalable Indoor Novel-View Synthesis using Drone-Captured 360 Imagery with 3D Gaussian Splatting.- Space3D-Bench: Spatial 3D Question Answering Benchmark.- VRS-NeRF: Visual Relocalization with Sparse Neural Radiance Field.- NeRF-Supervised Feature Point Detection and Description.- Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks.- Real-Time 2nd-order Gaze Metrics.- Normalized Validity Scores for DNNs in Regression based Eye Feature Extraction and Real-Time Models for the Raspberry Pi.- Helios: An extremely low power event-based gesture recognition for always-on smart eyewear.- CondSeg: Ellipse Estimation of Pupil and Iris via Conditioned Segmentation.- Towards Unsupervised Eye-Region Segmentation for Eye Tracking.- Towards Low-power, High-frequency Gaze Direction Tracking with an Event-camera.- Towards Resource-aware Visual Inertial SLAM.- Evaluating Human Pose Estimation Algorithms for Resource-Constrained Smart Eyewear Device.- Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses With TinyissimoYOLO.- Towards Real-Time Online Egocentric Action Recognition on Smart Eye-wear.- High-frequency near-eye ground truth for event-based eye tracking.