25 citations · 25 across the 11 of their papers we have counts for
4 papers · 1 filter
Ghost-FWL: A Large-Scale Full-Waveform LiDAR Dataset for Ghost Detection and Removal
Kazuma Ikeda, Ryosei Hara, Rokuto Nagata +6
LiDAR has become an essential sensing modality in autonomous driving, robotics, and smart-city applications. However, ghost points (or ghosts), which are false reflections caused b…
BasketLiDAR: The First LiDAR-Camera Multimodal Dataset for Professional Basketball MOT
Ryunosuke Hayashi, Kohei Torimi, Rokuto Nagata +6
Real-time 3D trajectory player tracking in sports plays a crucial role in tactical analysis, performance evaluation, and enhancing spectator experience. Traditional systems rely on…
Dataset Culling: Towards Efficient Training Of Distillation-Based Domain Specific Models
Kentaro Yoshioka, Edward Lee, Simon Wong +1
Real-time CNN-based object detection models for applications like surveillance can achieve high accuracy but are computationally expensive. Recent works have shown 10 to 100x reduc…
Training Domain Specific Models for Energy-Efficient Object Detection
Kentaro Yoshioka, Edward Lee, Mark Horowitz
We propose an end-to-end framework for training domain specific models (DSMs) to obtain both high accuracy and computational efficiency for object detection tasks. DSMs are trained…