CV0051: Internship - Visual-LiDAR fused object detection and recognition

Mitsubishi - Cambridge, MA

Full-time - Intern

Cambridge, MA

Transportation Equipment Manufacturing

About the position

The internship position focuses on visual-LiDAR fused object detection and recognition, utilizing computer vision techniques. The intern will engage in research topics such as open-vocabulary object detection, domain adaptation, data-efficient methods, and small object detection, contributing to the development of algorithms and scientific publications.

Responsibilities

• Work on visual-LiDAR fused object detection and recognition using computer vision.
• Engage in research on open-vocabulary visual-LiDAR object detection and recognition.
• Explore domain adaptation or generalization in visual-LiDAR object detection.
• Develop data-efficient methods for visual-LiDAR object detection.
• Investigate small object detection with visual-LiDAR input.
• Collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications.

Requirements

• Currently pursuing a PhD in a relevant field such as computer vision or machine learning.
• Strong background in computer vision and machine learning.
• Experience in object recognition in LiDAR is strongly preferred.
• Published at least one paper in top-tier venues such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI.
• Proficiency in Python programming.
• Familiarity with at least one deep learning framework.

Benefits

• Opportunity to work on cutting-edge research in visual-LiDAR object detection and recognition.
• Collaboration with experienced researchers in the field.
• Flexible start date for the internship.