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Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Multi-sensor Data
Multimodal Deep Learning - CMU 10707 Guest Lecture
HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling
Multimodality and Data Fusion Techniques in Deep Learning
Hybrid ML Methods for the Interpretation and Integration of Heterogeneous Multimodal Data
Probabilistic Oriented Object Detection in Automotive Radar
ICLR23 SR4AD-08 Contributions
Building multimodal, integrative AI systems with Platform for Situated Intelligence
Professor Jianwei Zhang - Crossmodal Learning Approaches to Robust Autonomous Systems
Data Science for Robotics in the Era of Multimodal Models -MS in Applied Data Science Seminar Series
Self-supervised Wearable-based Activity Recognition by Learning to Predict Cross-Dimensional Motion
Argoverse Challenge at the CVPR2020 Workshop on Autonomous Driving
