Learning from multimodal data

Data leakage in cross-modal retrieval training: A case study

HyperSteg: Hyperbolic Learning for Deep Steganography

Audio-visual speaker diarization in the framework of multi-user human-robot interaction

Dual Collaborative Visual-Semantic Mapping for Multi-Label Zero-Shot Image Recognition

Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments

BALANCED DEEP CCA FOR BIRD VOCALIZATION DETECTION

Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning

DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks

PSEUDO-QUERY GENERATION FOR SEMI-SUPERVISED VISUAL GROUNDING WITH KNOWLEDGE DISTILLATION

TOWARDS ROBUST AUDIO-BASED VEHICLE DETECTION VIA IMPORTANCE-AWARE AUDIO-VISUAL LEARNING

Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection

Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection