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Mehmet Kocamaz
Mehmet Kocamaz
Nvidia
Verified email at cmu.edu - Homepage
Title
Cited by
Cited by
Year
Map-supervised road detection
A Laddha, MK Kocamaz, LE Navarro-Serment, M Hebert
2016 IEEE Intelligent Vehicles Symposium (IV), 118-123, 2016
1072016
Appearance contrast for fast, robust trail-following
C Rasmussen, Y Lu, M Kocamaz
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International …, 2009
522009
Vision-based counting of pedestrians and cyclists
MK Kocamaz, J Gong, BR Pires
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-8, 2016
322016
Sensor fusion for autonomous machine applications using machine learning
M Park, J Kwon, MK Kocamaz, HJ Seo, BR Hervas, TE Choe
US Patent App. 17/353,231, 2021
182021
A trail-following robot which uses appearance and structural cues
C Rasmussen, Y Lu, M Kocamaz
Field and Service Robotics, 265-279, 2014
182014
Trail following with omnidirectional vision
C Rasmussen, Y Lu, M Kocamaz
Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International …, 2010
132010
Method for detecting persons using 1D depths and 2D texture
F Porikli, M Kocamaz
US Patent 9,639,748, 2017
102017
Integrating stereo structure for omnidirectional trail following
C Rasmussen, Y Lu, M Kocamaz
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International …, 2011
102011
Unconstrained 1D range and 2D image based human detection
M Kocamaz, F Porikli
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International …, 2013
32013
Automatic Counting of Pedestrians and Cyclists
BR Pires, J Gong, C Kaffine, MK Kocamaz, J Kozar, GK Nunnagoppula, ...
22016
Single and across sensor object tracking using feature descriptor mapping in autonomous systems and applications
MK Kocamaz, K Xu, S Oh, J Kwon
US Patent App. 17/551,986, 2023
12023
Assigning obstacles to lanes using neural networks for autonomous machine applications
M Kocamaz, N Sajjan, S Oh, D Nister, J Kwon, M Park
US Patent App. 17/489,346, 2023
12023
Approaches for Automatic Low-Dimensional Human Shape Refinement with Priors or Generic Cues using RGB-D Data
MK Kocamaz, C Rasmussen
Image and Vision Computing 40, 2015
12015
Deformable object shape refinement and tracking using graph cuts and support vector machines
MK Kocamaz, Y Lu, C Rasmussen
Advances in Visual Computing, 506-515, 2011
12011
Automatic refinement of foreground regions for robot trail following
MK Kocamaz, C Rasmussen
Pattern Recognition (ICPR), 2010 20th International Conference on, 4077-4080, 2010
12010
Determining object associations using machine learning in autonomous systems and applications
N Sajjan, M Kocamaz, P Parikh
US Patent App. 18/146,671, 2024
2024
Joint 2d and 3d object tracking for autonomous systems and applications
MK Kocamaz, DPO Svensson, H Dou, S Oh, M Park, K Zou
US Patent App. 17/955,814, 2023
2023
Joint 2d and 3d object tracking for autonomous systems and applications
MK Kocamaz, DPO Svensson, H Dou, S Oh, M Park, K Zou
US Patent App. 17/955,822, 2023
2023
Object tracking and time-to-collision estimation for autonomous systems and applications
MK Kocamaz, P Parikh, S Oh
US Patent App. 17/955,827, 2023
2023
Sensor fusion for autonomous machine applications using machine learning
M Park, J Kwon, MK Kocamaz, HJ Seo, BR Hervas, TE Choe
US Patent App. 18/309,878, 2023
2023
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