Research & Technical Experiences
Research & Technical Experiences
Computer Vision Algorithm Expert
Dec 2018- Feb 2020
1. Automatic checkout (ACO) Project:
Coordinated research engineering team of ACO project on adaptation problem, development and training process.
Evaluated existing alternate designs and processing methods to assess feasibility and made proactive adjustments of parameters to boost performance.
Improvised training process by using cycle-GAN method to solve the domain adaptation problem, with synthesized images for data augmentation.
Trained MaskRCNN for detection and counting visual items to post augmentation.
Experiments on the large-scale Retail Product Checkout (RPC) dataset demonstrated the superiority of our approach, i.e., we achieved 92.20% accuracy compared with 80.51% of previous best method and obtained first place on RPC Leaderboard.
2. 3D object detection for Autonomous Driving Project:
Acquired knowledge on 3D deep learning techniques in 3D point cloud understanding.
Contributed towards the development of 3D object detection algorithm which can directly consume Lidar point cloud.
Secured 5th position on Kitti Leader Board in 3D vision for Autonomous driving competition.
3. 3D reconstruction Project:
Learnt 3D reconstruction problems based on Depth camera, LIDAR sensors and mono cameras.
Analyzed structure from motion (SFM) and Multi-view Stereo (MVS) software packages such as Visual SFM, OSM bundler and COLMAP.
Worked on 3D viewing software’s such as Open3D, Meshlab and Cloud compare.
Postdoctoral Researcher, School of Aeronautics and Astronautics
Nov 2016 - Oct 2018
Developed image and video fusion algorithms with improved recognition and detection. Explored various signal and image processing tools for the accomplishment of these tasks.
Conceived and built a fast and efficient video fusion algorithm based on guided image filter. It is further filed as a national patent (China).
Provided an Altitude Aircraft Safety project proposal for an industrial grant of 2, 00,000 RMB.
Hosted as a session chair in IEEE conference on information fusion, Xian, 2017.
Published 3 SCI journals and 6 international conferences.
Mentored master students with research topic and their thesis.
Research Associate
Jul 2013 – June 2016
1. Surveillance:
Designed algorithms to provide better visual perception of a scene during night and low lighting conditions.
Developed efficient image processing algorithms for detection of concealed weapons.
2. Digital photography:
Demonstrated the automatic generation of all-in-one focus images from various out of focused images.
Implemented simple and efficient multi-exposure fusion methods to combine over and under exposed images.
3. Medical imaging
Developed image processing algorithms to assist radiologists for better diagnosis and treatment by combining MRI and CT image information into a single image.
4. Remote sensing
Implemented image processing methods to integrate multi-sensory information of remote sensing images.
PostDoctoral Researcher, 2017 - 2018
Lectured on Image Fusion for graduate students during spring semester of 2017-2018.
Teaching cum Research Assistant (TRA), Jul 2013 - Jun 2016
Responsible for conducting tutorials and labs for graduate and under-graduate students for Signals and Systems, Digital Signal Processing, Matlab, Image Processing and Feature Extraction.
Assistant Professor, 2012 - 2013
Took classes on subjects Signals and Systems, Digital electronics for Bachelor students