Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection

Towards Model-Agnostic Dataset Condensation by Heterogeneous Models

Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge

Enhancing Audio-Visual Question Answering with Missing Modality via Trans-Modal Associative Learning

Robust Airway Generation Labeling with Airway Segmentation for Reliable Airway Assessment

Enabling Visual Object Detection with Object Sounds via Visual Modality Recalling Memory

Audio-Visual Spatial Integration and Recursive Attention for Robust Sound Source Localization

Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning

Stereoscopic Vision Recalling Memory for Monocular 3D Object Detection

Robust Multispectral Pedestrian Detection Via Spectral Position-Free Feature Mapping

Towards Robust Audio-Based Vehicle Detection via Importance-Aware Audio-Visual Learning

Similarity Relation Preserving Cross-Modal Learning for Multispectral Pedestrian Detection Against Adversarial Attacks

Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory

Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection

Robust Thermal Infrared Pedestrian Detection by Associating Visible Pedestrian Knowledge

Robust Small-scale Pedestrian Detection with Cued Recall via Memory Learning

CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection

Towards Robust Training of Multi-Sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation

SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding

Structure Boundary Preserving Segmentation for Medical Image with Ambiguous Boundary

BBC Net: Bounding-Box Critic Network for Occlusion-Robust Object Detection

Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation

Towards Human-Like Interpretable Object Detection via Spatial Relation Encoding

Class Incremental Learning with Task-Selection

Comprehensive Facial Expression Synthesis using Human-Interpretable Language

Fake Video Detection With Certainty-Based Attention Network

Attentive Layer Separation for Object Classification and Object Localization in Object Detection

Object Bounding-Box-Critic Networks for Occlusion Robust Object Detection in Road Scene

Robust and Real-Time Visual Tracking with Triplet Convolutional Neural Network

Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation

Object Tracking based on Weight Sharing CNN Structure According to Search Area Setting Method Considering Object Movement