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Kripasindhu Sarkar received the degrees M.Tech and B.Tech (under the integrated dual degree course) from the Department of Computer Science, Indian Institute of Technology, Kharagpur (IIT Kharagpur) in 2012.
He has done two summer internships as an undergraduate student; first at GRIS, University of Tuebingen, Germany, where his work involved reduction of the dimensions of image features using Statistical and Machine Learning techniques; and second at Robarts Research, University of Western Ontario, Canada where he wrote an Augmented Reality software for Vuzix Wrap 920AR (A lightweight Head Mount Display) which served as the lab’s first Image Guided Surgery (IGS) framework (SOP). His masters thesis at IIT Kharagpur involved a Computer Graphics project called “Random Fracturing of 3D models”.
After spending one and half year as a Software Engineer since graduating, he is now working on his PhD at DFKI starting from September, 2014. His topic goes around the fundamental topic of computer vision which includes image understanding, object recognition and recognition of 3D models present in given images.
Trained 3D Models for CNN based Object Recognition
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017) International Conference on Computer Vision Theory and Applications (VISAPP-17)
Feature-augmented Trained Models for 6DOF Object Recognition and Camera Calibration
Proceedings of the International Conference on Computer Vision Theory and Applications International Conference on Computer Vision Theory and Applications (VISAPP-16)