On The Path Towards Robot Vision with Aljosa Osep - #581
Published:Jul 4, 2022 14:55
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode featuring Aljosa Osep, a researcher focused on robot vision. The discussion centers around his research presented at the 2022 CVPR conference. The episode delves into three key papers: Text2Pos, which focuses on cross-modal localization using text and point clouds; Forecasting from LiDAR via Future Object Detection, which tackles object detection and motion forecasting from raw sensor data; and Opening up Open-World Tracking, which introduces a new benchmark for multi-object tracking. The article provides a concise overview of each paper's focus, highlighting the breadth of Osep's research in the field of robot vision.
Key Takeaways
- •The podcast episode covers Aljosa Osep's research on robot vision.
- •The research includes work on cross-modal localization, object detection and motion forecasting, and multi-object tracking.
- •The discussed papers were presented at the 2022 CVPR conference.
Reference
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