Clint Sebastian is a Ph.D. candidate at VCA group at the Eindhoven University of Technology. His research is in collaboration with Cyclomedia, a company that specializes in large-scale professional street-view imagery. Clint received his B.Tech (SRM University, India) and M.Sc (Eindhoven University of Technology, The Netherlands) in Electrical Engineering. After graduation, he worked at Cyclomedia as research scientist focusing on building machine learning algorithms for object detection, segmentation, and unsupervised generative modeling.
Clint's research interests include deep learning, unsupervised learning and semantic interpretation of unstructured data (eg. point cloud). Clint is proficient in programming in C++11 and python. He is also experienced with libraries such as TensorFlow, Caffe, OpenCV, Boost, and PCL (point cloud library). His other interests include organizing long-distance bike trips, playing squash and solving combination puzzles.