Description

Book Synopsis

Reinforcement Learning Friendly Vision-Language Model for Minecraft.- Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation.- Training-free Composite Scene Generation for Layout-to-Image Synthesis.- Robustness Preserving Fine-tuning using Neuron Importance.- ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation.- PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation.- Similarity of Neural Architectures using Adversarial Attack Transferability.- Dual-Rain: Video Rain Removal using Assertive and Gentle Teachers.- PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation.- OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web.- AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering.- Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models.- Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks.- Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation.- MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos.- Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement.- Scene-Conditional 3D Object Stylization and Composition.- GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning.- Revisit Anything: Visual Place Recognition via Image Segment Retrieval.- EcoMatcher: Efficient Clustering Oriented Matcher for Detector-free Image Matching.- DGD: Dynamic 3D Gaussians Distillation.- Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation.- DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation.- Self-Guided Generation of Minority Samples Using Diffusion Models.- DEVIAS: Learning Disentangled Video Representations of Action and Scene.- AD3: Introducing a score for Anomaly Detection Dataset Difficulty assessment using VIADUCT dataset.- RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting.

Computer Vision ECCV 2024

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    A Paperback by Aleš Leonardis

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      View other formats and editions of Computer Vision ECCV 2024 by Aleš Leonardis

      Publisher: Springer
      Publication Date: 21/11/2024
      ISBN13: 9783031731129, 978-3031731129
      ISBN10:
      Also in:
      Computing Image processing

      Description

      Book Synopsis

      Reinforcement Learning Friendly Vision-Language Model for Minecraft.- Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation.- Training-free Composite Scene Generation for Layout-to-Image Synthesis.- Robustness Preserving Fine-tuning using Neuron Importance.- ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation.- PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation.- Similarity of Neural Architectures using Adversarial Attack Transferability.- Dual-Rain: Video Rain Removal using Assertive and Gentle Teachers.- PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation.- OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web.- AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering.- Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models.- Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks.- Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation.- MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos.- Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement.- Scene-Conditional 3D Object Stylization and Composition.- GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning.- Revisit Anything: Visual Place Recognition via Image Segment Retrieval.- EcoMatcher: Efficient Clustering Oriented Matcher for Detector-free Image Matching.- DGD: Dynamic 3D Gaussians Distillation.- Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation.- DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation.- Self-Guided Generation of Minority Samples Using Diffusion Models.- DEVIAS: Learning Disentangled Video Representations of Action and Scene.- AD3: Introducing a score for Anomaly Detection Dataset Difficulty assessment using VIADUCT dataset.- RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting.

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