Signal Processing & Artificial-intelligence Laboratory
Research Topics
1. Advanced signal processing and machine learning
Active learning, noisy labeling, data imbalance problem
Inverse problem, Super resolution algorithms
Automatic compression of deep learning models
Lidar/Camera signal processing
Signal processing and machine learning for 5G/6G communications
2. Machine learning for intelligent vehicles and mobile robots
Sensor fusion, 3D object detection
Trajectory and behavior prediction of dynamic agents
Spatio-temporal object detection, 3D object tracking
Pedestrian pose estimation and prediction
Deep metric learning, Representation learning
Decision making for autonomous vehicles and mobile robots
Camera-Lidar sensor fusion 3D-CVF (trained not to detect truck or van) (ECCV 2020)
KITTI 3D object detection leaderboard (ranked 4th as of March 2020)
3D object detection and tracking (trained not to detect truck or van)
Vehicle trajectory prediction (IV2008)
Vedeo object detection (submitted to ICRA 2021)
Lane-aware trajectory prediction (LaPred)