Research topics

Multimodal Learning

Related publications and engineering projects

2 results

MID — Iterative recovery across data modalities.

Publication 2026 TNNLS

MID: A Self-Supervised Multimodal Iterative Denoising Framework

Presents a self-supervised multimodal iterative denoising framework that learns corruption-stage estimation and residual reversal from noisy data alone without clean ground truth.

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DTFI — Fused observations support continuous vehicle tracking.

Publication 2023 TETCI

3D Object Detection and Tracking Based on Lidar-Camera Fusion and IMM-UKF Algorithm Towards Highway Driving

DTFI combines local LiDAR-camera feature fusion with IMM-UKF multiple-model filtering for 3D vehicle detection and tracking in highway driving.

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