LEADER 05695nam 2200589 450 001 996500066303316 005 20230318145123.0 010 $a3-031-19833-6 024 7 $a10.1007/978-3-031-19833-5 035 $a(MiAaPQ)EBC7131895 035 $a(Au-PeEL)EBL7131895 035 $a(CKB)25280436500041 035 $a(DE-He213)978-3-031-19833-5 035 $a(OCoLC)1350792900 035 $a(BIP)085721847 035 $a(PPN)266348343 035 $a(EXLCZ)9925280436500041 100 $a20230318d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputer vision - ECCV 2022$hPart XXXV $e17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings /$fShai Avidan [and four others] 205 $a1st ed. 2022. 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (801 pages) 225 1 $aLecture Notes in Computer Science 311 08$aPrint version: Avidan, Shai Computer Vision - ECCV 2022 Cham : Springer,c2022 9783031198328 327 $aEfficient One-Stage Video Object Detection by Exploiting Temporal Consistency -- Leveraging Action Affinity and Continuity for Semi-Supervised Temporal Action Segmentation -- Spotting Temporally Precise, Fine-Grained Events in Video -- Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation -- Efficient Video Transformers with Spatial-Temporal Token Selection -- Long Movie Clip Classification with State-Space Video Models -- Prompting Visual-Language Models for Efficient Video Understanding -- Asymmetric Relation Consistency Reasoning for Video Relation Grounding -- Self-Supervised Social Relation Representation for Human Group Detection -- K-Centered Patch Sampling for Efficient Video Recognition -- A Deep Moving-Camera Background Model -- GraphVid: It Only Takes a Few Nodes to Understand a Video -- Delta Distillation for Efficient Video Processing -- MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning -- COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality -- E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context -- TDViT: Temporal Dilated Video Transformer for Dense Video Tasks -- Semi-Supervised Learning of Optical Flow by Flow Supervisor -- Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization -- Deep 360° Optical Flow Estimation Based on Multi-Projection Fusion -- MaCLR: Motion-Aware Contrastive Learning of Representations for Videos -- Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection -- Frozen CLIP Models Are Efficient Video Learners -- PIP: Physical Interaction Prediction via Mental Simulation with Span Selection -- Panoramic Vision Transformer for Saliency Detection in 360° Videos -- Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration -- Motion Sensitive Contrastive Learning for Self-Supervised Video Representation -- Dynamic Temporal Filtering In Video Models -- Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification -- Temporal Lift Pooling for Continuous Sign Language Recognition -- MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes -- SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding -- Cross-Modal Prototype Driven Network for Radiology Report Generation -- TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts -- SeqTR: A Simple Yet Universal Network for Visual Grounding -- VTC: Improving Video-Text Retrieval with User Comments -- FashionViL: Fashion-Focused Vision-and-Language Representation Learning -- Weakly Supervised Grounding for VQA in Vision-Language Transformers -- Automatic Dense Annotation of Large-Vocabulary Sign Language Videos -- MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval -- GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval -- A Simple and Robust Correlation Filtering Method for Text-Based Person Search. 330 $aThe 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23?27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation. 410 0$aLecture notes in computer science. 606 $aComputer vision$vCongresses 606 $aPattern recognition systems$vCongresses 610 $aEngineering 610 $aTechnology & Engineering 615 0$aComputer vision 615 0$aPattern recognition systems 676 $a006.37 702 $aAvidan$b Shai$4edt 702 $aBrostow$b Gabriel$4edt 702 $aCisse?$b Moustapha$4edt 702 $aFarinella$b Giovanni Maria$4edt 702 $aHassner$b Tal$4edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996500066303316 996 $aComputer Vision ? ECCV 2022$92952264 997 $aUNISA