Leonardis / Ricci / Roth Computer Vision – ECCV 2024

18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVII
Erscheinungsjahr 2024
ISBN: 978-3-031-73383-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 15085, 485 Seiten, eBook

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Leonardis, Aleš

Leonardis, Ales

Ricci, Elisa

Roth, Stefan

Russakovsky, Olga

Sattler, Torsten

Varol, Gül

Inhaltsverzeichnis

SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking.- Tensorial template matching for fast cross-correlation with rotations and its application for tomography.- FreeAugment: Data Augmentation Search Across All Degrees of Freedom.- Learning Representations of Satellite Images From Metadata Supervision.- I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM.- FlashTex: Fast Relightable Mesh Texturing with LightControlNet.- GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence.- ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling.- PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance.- SOS: Segment Object System for Open-World Instance Segmentation With Object Priors.- Lagrangian Hashing for Compressed Neural Field Representations.- EDformer: Transformer-Based Event Denoising Across Varied Noise Levels.- Foster Adaptivity and Balance in Learning with Noisy Labels.- MetaAug: Meta-Data Augmentation for Post-Training Quantization.- Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis.- Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach.- Unleashing the Power of Prompt-driven Nucleus Instance Segmentation.- Gaze Target Detection Based on Head-Local-Global Coordination.- 3DSA:Multi-View 3D Human Pose Estimation With 3D Space Attention Mechanisms.- Toward Tiny and High-quality Facial Makeup with Data Amplify Learning.- An Economic Framework for 6-DoF Grasp Detection.- GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction.- Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning.- AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer.- Multi-Label Cluster Discrimination for Visual Representation Learning.- Plan, Posture and Go: Towards Open-vocabulary Text-to-Motion Generation.- DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion.