Scholar
Manasi Muglikar
Google Scholar ID: LCn8KygAAAAJ
PhD student, University of Zurich
Citations & Impact
Citations
756
H-index
11
i10-index
11
Publications
17
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- April 2024: Proposed a sensor fusion approach combining event cameras and single photon cameras to achieve highest quality image reconstruction of dynamic scenes in low light.
- February 2024: Published a PAMI paper on Dense Continuous-Time Optical Flow from Events and Frames.
- July 2023: Used a simple approach combining event cameras with images to see behind dense occlusions under weather conditions like rain, snow, and dust.
- April 2023: Achieved unprecedented high-speed shape from polarization using event cameras, accepted at CVPR 2023.
- November 2022: Achieved 70% accuracy on a new author attribution dataset using transformer-based AI.
- March 2022: Released a paper on Dense Continuous-Time Optical Flow from Events and Frames on Arxiv.
- February 2022: Featured on IEEE Spectrum Video Friday for the paper Event Guided Depth Sensing.
- December 2021: Accepted at 3DV 2021 for papers on ESL:Event-based Structured Light and Event Guided Depth Sensing.
- May 2021: Presented a generic event camera calibration framework using image reconstruction at CVPRW 2021.
- May 2020: Won the Best Systems Paper Award at RSS 2020 for AlphaPilot: Autonomous Drone Racing.
- January 2020: Accepted at ICRA 2020 for papers on Redesigning SLAM for Arbitrary Multi-Camera Systems and Voxel Map for Visual SLAM.
- July 2019: Team Avengers won the ETH Robotics RSS-ARCHE Challenge.
Research Experience
- Conducting research in the field of robotics and perception, involving work on event cameras, single photon cameras, dense continuous-time optical flow, and more.
Education
- Ph.D. student at the Robotics and Perception Group, University of Zurich
Background
- Computer Vision & Robotics Researcher
Miscellany
- Featured in the #NCCRWomen campaign, sharing insights into her research with event-cameras.
