Computer Vision - ECCV 2024
portes grátis
Computer Vision - ECCV 2024
18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part III
Roth, Stefan; Varol, Guel; Sattler, Torsten; Russakovsky, Olga; Ricci, Elisa; Leonardis, Ales
Springer International Publishing AG
11/2024
463
Mole
9783031726453
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal.- Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation.- Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning.- Text2Place: Affordance-aware Text Guided Human Placement.- OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations.- Zero-Shot Multi-Object Scene Completion.- Beta-Tuned Timestep Diffusion Model.- POA: Pre-training Once for Models of All Sizes.- Taming Latent Diffusion Model for Neural Radiance Field Inpainting.- MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation.- ByteEdit: Boost, Comply and Accelerate Generative Image Editing.- ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion.- High-Resolution and Few-shot View Synthesis from Asymmetric Dual-lens Inputs.- Accelerating Image Super-Resolution Networks with Pixel-Level Classification.- LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation.- Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution.- Click-Gaussian: Interactive Segmentation to Any 3D Gaussians.- Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes.- DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction.- Track Everything Everywhere Fast and Robustly.- Towards Open-ended Visual Quality Comparison.- FreeInit: Bridging Initialization Gap in Video Diffusion Models.- DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs.- Eliminating Feature Ambiguity for Few-Shot Segmentation.- Soft Prompt Generation for Domain Generalization.- Shedding More Light on Robust Classifiers under the lens of Energy-based Models.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;computer networks;computer systems;computer vision;education;Human-Computer Interaction (HCI);image analysis;image coding;image processing;image reconstruction;image segmentation;learning;machine learning;object recognition;pattern recognition;reconstruction;signal processing;software engineering
Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal.- Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation.- Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning.- Text2Place: Affordance-aware Text Guided Human Placement.- OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations.- Zero-Shot Multi-Object Scene Completion.- Beta-Tuned Timestep Diffusion Model.- POA: Pre-training Once for Models of All Sizes.- Taming Latent Diffusion Model for Neural Radiance Field Inpainting.- MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation.- ByteEdit: Boost, Comply and Accelerate Generative Image Editing.- ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion.- High-Resolution and Few-shot View Synthesis from Asymmetric Dual-lens Inputs.- Accelerating Image Super-Resolution Networks with Pixel-Level Classification.- LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation.- Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution.- Click-Gaussian: Interactive Segmentation to Any 3D Gaussians.- Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes.- DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction.- Track Everything Everywhere Fast and Robustly.- Towards Open-ended Visual Quality Comparison.- FreeInit: Bridging Initialization Gap in Video Diffusion Models.- DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs.- Eliminating Feature Ambiguity for Few-Shot Segmentation.- Soft Prompt Generation for Domain Generalization.- Shedding More Light on Robust Classifiers under the lens of Energy-based Models.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;computer networks;computer systems;computer vision;education;Human-Computer Interaction (HCI);image analysis;image coding;image processing;image reconstruction;image segmentation;learning;machine learning;object recognition;pattern recognition;reconstruction;signal processing;software engineering
