Duy Lê

OverviewAI-generated summary

Duy Lê's research focuses on the application of deep learning and neural networks in medical imaging and computer vision. His work includes developing and evaluating deep convolutional neural networks for the detection of atypical femur fractures from anterior-posterior radiographs. Lê has also contributed to research on real-time 3D pedestrian detection using attentive pillar networks and robust multi-sensor fusion for 3D object detection and Bird's-Eye View segmentation using diffusion models. His publications also address dataset creation for multi-person pose estimation and tracking, as well as the compression of KV caches for long context models. Lê's scholarship metrics include an h-index of 5 with 117 total citations across 20 publications.

Metrics

• h-index: 6
• Publications: 20
• Citations: 128