LEADER 05148nam 22008055 450 001 996630863203316 005 20250626164415.0 010 $a9783031730245 010 $a3031730240 024 7 $a10.1007/978-3-031-73024-5 035 $a(CKB)36679622700041 035 $a(MiAaPQ)EBC31805374 035 $a(Au-PeEL)EBL31805374 035 $a(DE-He213)978-3-031-73024-5 035 $a(OCoLC)1474241233 035 $a(EXLCZ)9936679622700041 100 $a20241126d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2024 $e18th European Conference, Milan, Italy, September 29?October 4, 2024, Proceedings, Part LXXXIX /$fedited by Ale? Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (436 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15147 311 08$a9783031730238 311 08$a3031730232 327 $aHow to Train the Teacher Model for Effective Knowledge Distillation -- Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers -- Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models -- Modality Translation for Object Detection Adaptation without forgetting prior knowledge -- FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning -- Learning Multimodal Latent Generative Models with Energy-Based Prior -- On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition -- LaWa: Using Latent Space for In-Generation Image Watermarking -- Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution -- Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable -- Co-speech Gesture Video Generation with 3D Human Meshes -- When and How do negative prompts take effect? -- GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views -- CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting -- Snuffy: Efficient Whole Slide Image Classifier -- Learning to Build by Building Your Own Instructions -- Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling -- BlenderAlchemy: Editing 3D Graphics with Vision-Language Models -- D?pS: Delayed ?-Shrinking for Faster Once-For-All Training -- Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models. 330 $aThe multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29?October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15147 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer networks 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aMachine learning 606 $aComputers, Special purpose 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Communication Networks 606 $aUser Interfaces and Human Computer Interaction 606 $aMachine Learning 606 $aSpecial Purpose and Application-Based Systems 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputer networks. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 0$aMachine learning. 615 0$aComputers, Special purpose. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Communication Networks. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aMachine Learning. 615 24$aSpecial Purpose and Application-Based Systems. 676 $a006.37 700 $aLeonardis$b Ales?$01757791 701 $aRicci$b Elisa$0216674 701 $aRoth$b S?tefan$00 701 $aRussakovsky$b Olga$01767663 701 $aSattler$b Torsten$01767664 701 $aVarol$b Gül$01767665 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996630863203316 996 $aComputer Vision ? ECCV 2024$94213977 997 $aUNISA