Leonardis / Ricci / Roth Computer Vision – ECCV 2024

18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XLIII
Erscheinungsjahr 2024
ISBN: 978-3-031-72775-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 15101, 497 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; object recognition; motion estimation.

Zielgruppe

Research

Autoren/Hrsg.

Leonardis, Aleš

Leonardis, Ales

Ricci, Elisa

Roth, Stefan

Russakovsky, Olga

Sattler, Torsten

Varol, Gül

Inhaltsverzeichnis

Recursive Visual Programming.- LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models.- Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks.- Learning to Adapt SAM for Segmenting Cross-domain Point Clouds.- Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging.- ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers.- Fine-grained Dynamic Network for Generic Event Boundary Detection.- Take A Step Back: Rethinking the Two Stages in Visual Reasoning.- AlignZeg: Mitigating Objective Misalignment for Zero-shot Semantic Segmentation.- Learning with Counterfactual Explanations for Radiology Report Generation.- SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion Models.- Better Regression Makes Better Test-time Adaptive 3D Object Detection.- ShapeLLM: Universal 3D Object Understanding for Embodied Interaction.- Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization.- Finding Visual Task Vectors.- Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation.- Event Camera Data Dense Pre-training.- Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning.- Rethinking Image-to-Video Adaptation: An Object-centric Perspective.- Layer-Wise Relevance Propagation with Conservation Property for ResNet.- DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism.- EgoLifter: Open-world 3D Segmentation for Egocentric Perception.- MEVG : Multi-event Video Generation with Text-to-Video Models.- Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively.- Data-to-Model Distillation: Data-Efficient Learning Framework.- DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays.- AdaIFL: Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network.