- Transforming Model Prediction for Tracking, CVPR 2022
- Deep Reparametrization of Multi-Frame Super-Resolution and Denoising, ICCV 2021 (Oral Presentation)
- Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos, ICCV 2021
- Deep Burst Super-Resolution, CVPR 2021
- Learning What to Learn for Video Object Segmentation, ECCV 2020 (Oral Presentation)
Research Experience
Worked as a research assistant at the Computer Vision Lab, Linköping University, from 2016-2018.
Education
PhD: ETH Zurich, supervised by Prof. Luc Van Gool and Dr. Martin Danelljan; M.Sc. in Computer Science from Linköping University, Sweden, 2019; B.Tech in Electrical Engineering at IIT Bombay, India, 2016.
Background
Main research interests: Computer Vision and its applications, especially in the tasks of multi-frame image restoration, visual object tracking and segmentation.