Computer Vision - ECCV 2024 : 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXVI (Lecture Notes in Computer Science) (2024)

個数:

Computer Vision - ECCV 2024 : 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXVI (Lecture Notes in Computer Science) (2024)

  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合、分割発送となる場合がございます。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 495 p.
  • 商品コード 9783031733468

Full Description

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.

Contents

Upper-body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving.- Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction.- Exploring Guided Sampling of Conditional GANs.- MotionChain: Conversational Motion Controllers via Multimodal Prompts.- Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition.- Latent Guard: a Safety Framework for Text-to-image Generation.- MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion.- TCC-Det: Temporarily consistent cues for weakly-supervised 3D detection.- OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection.- FoundPose: Unseen Object Pose Estimation with Foundation Features.- Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation.- Kalman-Inspired Feature Propagation for Video Face Super-Resolution.- Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models.- VideoMamba: State Space Model for Efficient Video Understanding.- SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging.- Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds.- Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving.- Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models.- Deep Cost Ray Fusion for Sparse Depth Video Completion.- GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection.- DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video.- GraspXL: Generating Grasping Motions for Diverse Objects at Scale.- Source Prompt Disentangled Inversion for Boosting Image Editability with  Diffusion Models.- Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models.- JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation.- Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals.- Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection.

最近チェックした商品