Mohammad Dawud Ansari
Mohammad Dawud Ansari studied M.Sc. in Computer Science from the University of Kaiserslautern in Winter Semester 2016-2017. His topic for the master thesis is “Accurate Scene Flow Recovery from Monocular Image Sequences“. His research interest includes 3D Computer Vision, Machine Learning and Robotics.
He has worked in industry for 2 years and 4 months in Samsung Electronics, India as an Android developer during 2012-2014. He was actively involved in the development of TouchWiz Home (android native launcher) app for Galaxy smartphones like S4, S5, and Note3. During 2015-2017, he was involved in several research projects namely “Augmentation in Mobile Phones, Dense Visual Odometry and Non-rigid Structure from Motion” as an intern at DFKI GmbH, Kaiserslautern. His current research focus is in the direction of Autonomous Driving and Semantic Scene Understanding.
ScaleNet: Scale Invariant Network for Semantic Segmentation in Urban Driving Scenes
International Conference on Computer Vision Theory and Applications (VISAPP-18), 13th, January 27-29, Funchal, Madeira, Portugal
Scalable Dense Monocular Surface Reconstruction
3DVision 2017 International Conference on 3DVision (3DV-17), October 10-12, Qingdao, China
DNA-SLAM: Dense Noise Aware SLAM for ToF RGB-D Cameras
Asian Conference on Computer Vision Workshop Asian Conference on Computer Vision Workshop (ACCV workshop-16), Taipeh, Taiwan, Province of China