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Computer vision - ECCV 2024 = 18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings.. Part VII /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computer vision - ECCV 2024/ edited by Aleš Leonardis ... [et al.].
Reminder of title:	18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings.
remainder title:	ECCV 2024
other author:	Leonardis, Aleš.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	lxxxv, 492 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Computer vision - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-72667-5
ISBN:	9783031726675

Computer vision - ECCV 2024 = 18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings.. Part VII /
Computer vision - ECCV 202418th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings.Part VII /[electronic resource] :ECCV 2024edited by Aleš Leonardis ... [et al.]. - Cham :Springer Nature Switzerland :2025. - lxxxv, 492 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,150651611-3349 ;. - Lecture notes in computer science ;6140..

ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation -- SINDER: Repairing the Singular Defects of DINOv2 -- SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow -- Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation -- General and Task-Oriented Video Segmentation -- VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement -- LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors -- ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback -- TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing -- Prompting Future Driven Diffusion Model for Hand Motion Prediction -- Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics -- Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement -- RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation -- UMBRAE: Unified Multimodal Brain Decoding -- NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models -- 3D Single-object Tracking in Point Clouds with High Temporal Variation -- Adaptive Multi-task Learning for Few-shot Object Detection -- Event Trojan: Asynchronous Event-based Backdoor Attacks -- Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization -- Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems -- Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning -- OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to-End 3D Trackers -- LoA-Trans: Enhancing Visual Grounding by Location-Aware Transformers -- HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression -- Energy-induced Explicit quantification for Multi-modality MRI fusion -- ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement -- Exemplar-free Continual Representation Learning via Learnable Drift Compensation.

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.

ISBN: 9783031726675

Standard No.: 10.1007/978-3-031-72667-5doiSubjects--Topical Terms:

643975
Computer vision
--Congresses.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

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