Pravakar Roy
Applied Scientist
Microsoft AI and Research
Resume | Google Scholar | LinkedIn | ResearchGate | Microsoft Academic
Currently, I am working as an applied scientist at Microsoft AI and Research. Before, this I completed my Ph.D. at RSN Lab, University of Minnesota. I worked on agricultural robotics and computer vision. I have designed multiple computer vision algorithms for yield estimation in apple orchards using ground robots and Unmanned Aerial Vehicles (UAV). Some of this techniques are now in the process of being commercialized (Farm Vision Technologies). For the last part of my Ph.D., I focused on active vision and deep learning for learning from synthetic data. For details, please look at the research projects and publications page.
Recent Updates:
Recent Updates:
- September 2019: Our dataset paper titled, "MinneApple: A Benchmark Dataset for Apple Detection and Segmentation" is ready. ( Paper Link)
- July 2019: Our journal paper titled, "Vision-Based Preharvest Yield Mapping for Apple Orchards" has been published in Computers and Electronics in Agriculture (Paper Link).
- July 2019: Our paper titled, "A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards" has been published in Journal of Field Robotics (Paper Link).
- May 2019: Our paper titled, "Semantic Mapping for Orchard Environments by Merging Two-Sides Reconstructions of Tree Rows", has been published in Journal of Field Robotics(Paper Link).
- March 2019: Preprint of our most recent work titled "Semantics-Aware Image to Image Translation and Domain Transfer" is ready.