Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream. PDGM: a Neural Network Approach to Solve Path-Dependent Partial Differential Equations. Learning Fairness-aware Relational Structures. Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencod …

Synaptic Metaplasticity in Binarized Neural Networks. Hierarchical Neural Architecture Search for Single Image Super-Resolution. Meta-Learning across Meta-Tasks for Few-Shot Learning. Few-Shot Learning as Domain Adaptation: Algorithm and Analysis. Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning. …

Learning Human-Object Interaction Detection using Interaction Points. Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception. Unpaired Multi-modal Segmentation via Knowledge Distillation. Zero-Reference Deep Curve Estimation for Low- …

Deep Quaternion Features for Privacy Protection. EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement. Discernible Compressed Images via Deep Perception Consistency. Deep Domain Adaptive Object Detection: a Survey. Local Facial Attribute Transfer through Inpainting. A hybrid optimization procedure for solving a ti …

Compressive Recovery Defense: A Defense Framework for $\ell_0, \ell_2$ and $\ell_\infty$ norm attacks.. Exploring Cellular Protein Localization Through Semantic Image Synthesis. Latent Variables on Spheres for Sampling and Inference. Sequence-level Intrinsic Exploration Model for Partially Observable Domains. Perceptual Regularization: Visualizing …