{"product_id":"computer-vision-eccv-2024-workshops-9783031915772","title":"Computer Vision  ECCV 2024 Workshops","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- AirLetters: An Open Video Dataset of Characters Drawn in the Air.\u003cbr\u003e.- RegionGrasp: A Novel Task for Contact Region Controllable Hand Grasp Generation.\u003cbr\u003e.- Generative Hierarchical Temporal Transformer for Hand Pose and Action Modeling.\u003cbr\u003e.- Adaptive Multi-Modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle Loss.\u003c\/p\u003e\u003cp\u003e.- Conditional Hand Image Generation using Latent Space Supervision in Random Variable Variational Autoencoders.\u003cbr\u003e.- ChildPlay-Hand: A Dataset of Hand Manipulations in the Wild.\u003cbr\u003e.- EMAG: Ego-motion Aware and Generalizable 2D Hand Forecasting from Egocentric Videos.\u003cbr\u003e.- Disentangling Planning, Driving and Rendering for Photorealistic Avatar Agents.\u003cbr\u003e.- RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images.\u003cbr\u003e.- A Biologically-inspired Approach to Biomedical Image Segmentation.\u003cbr\u003e.- Human-based Low-Level Visual Processing Neural Network for Image Segmentation.\u003cbr\u003e.- Glia Cell Inspired Reinforcement Learning Agent for Neural Network Optimization.\u003cbr\u003e.- Growing Deep Neural Network Considering with Similarity between Neurons.\u003cbr\u003e.- Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning.\u003cbr\u003e.- Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation.\u003cbr\u003e.- What makes a face look like a hat: Decoupling low-level and high-level visual properties with image triplets.\u003cbr\u003e.- ScanDDM: Generalised Zero-Shot Neuro-Dynamical Modelling of GoalDirected Attention.\u003cbr\u003e.- Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG.\u003cbr\u003e.- Online Learning via Memory: Retrieval-Augmented Detector Adaptation.\u003cbr\u003e.- AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction.\u003cbr\u003e.- Accuracy Improvement of Cell Image Segmentation Using Feedback Former.\u003cbr\u003e.- Variable resolution improves visual question answering under a limited pixel budget.\u003cbr\u003e.- MOSAIC: Skeleton-based human motion recognition with compositional representations.\u003cbr\u003e.- Adapting Large Language Model for Cross-Subject Semantic Decoding from Video-Stimulated fMRI.\u003cbr\u003e.- A System 1 and System 2 Perspective on Continual Learning for Practical Implementation.\u003cbr\u003e.- Connectivity-Inspired Network for Context-Aware Recognition.\u003cbr\u003e.- Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195478794583,"sku":"9783031915772","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/computer-vision-eccv-2024-workshops-9783031915772","provider":"Book Curl","version":"1.0","type":"link"}