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