Saccades and Fixating Using Artificial Potential Functions. - B. Deniz Ilhan; Özgür Erkent; H. Isil Bozma (IROS, 2006)

Place representation in topological maps based on bubble space. - Özgür Erkent; H. Isil Bozma (ICRA, 2012)

Artificial potential functions based camera movements and visual behaviors in attentive robots. - Özgür Erkent; H. Isil Bozma (Auton. Robots, 2012)

Integrating Cue Descriptors in Bubble Space for Place Recognition. - Özgür Erkent; H. Isil Bozma (ICVS, 2013)

Bubble space and place representation in topological maps. - Özgür Erkent; H. Isil Bozma (Int. J. Robotics Res., 2013)

RGB-D based place representation in topological maps. - Hakan Karaoguz; Özgür Erkent; H. Isil Bozma (Mach. Vis. Appl., 2014)

Probabilistic Detection of Pointing Directions for Human-Robot Interaction. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (DICTA, 2015)

Human Smile Distinguishes between Collaborative and Solitary Tasks in Human-Robot Interaction. - Franziska Kirstein; Kerstin Fischer; Özgür Erkent; Justus H. Piater (HRI (Extended Abstracts), 2015)

Long-term topological place learning. - Özgür Erkent; H. Isil Bozma (ICRA, 2015)

General Object Tip Detection and Pose Estimation for Robot Manipulation. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (ICVS, 2015)

The Effects of Social Gaze in Human-Robot Collaborative Assembly. - Kerstin Fischer; Lars Christian Jensen; Franziska Kirstein; Sebastian Stabinger; Özgür Erkent; Dadhichi Shukla; Justus H. Piater (ICSR, 2015)

Integration of Probabilistic Pose Estimates from Multiple Views. - Özgür Erkent; Dadhichi Shukla; Justus H. Piater (ECCV (7), 2016)

A multi-view hand gesture RGB-D dataset for human-robot interaction scenarios. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (RO-MAN, 2016)

Supervised Learning of Gesture-Action Associations for Human-Robot Collaboration. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (FG, 2017)

It Gets Worse Before it Gets Better: Timing of Instructions in Close Human-Robot Collaboration. - Lars Christian Jensen; Kerstin Fischer; Franziska Kirstein; Dadhichi Shukla; Özgür Erkent; Justus H. Piater (HRI (Companion), 2017)

Visual task outcome verification using deep learning. - Özgür Erkent; Dadhichi Shukla; Justus H. Piater (IROS, 2017)

Proactive, incremental learning of gesture-action associations for human-robot collaboration. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (RO-MAN, 2017)

Hierarchically self-organizing visual place memory. - Özgür Erkent; Hakan Karaoguz; H. Isil Bozma (Adv. Robotics, 2017)

Semantic Grid Estimation with Occupancy Grids and Semantic Segmentation Networks. - Özgür Erkent; Christian Wolf 001; Christian Laugier (ICARCV, 2018)

Modeling Driver Behavior from Demonstrations in Dynamic Environments Using Spatiotemporal Lattices. - David Sierra González; Özgür Erkent; Victor Romero-Cano; Jilles Steeve Dibangoye; Christian Laugier (ICRA, 2018)

Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach. - Özgür Erkent; Christian Wolf 001; Christian Laugier; David Sierra González; Victor Romero-Cano (IROS, 2018)

Learning Semantics of Gestural Instructions for Human-Robot Collaboration. - Dadhichi Shukla; Özgür Erkent; Justus H. Piater (Frontiers Neurorobotics, 2018)

Attentional PointNet for 3D-Object Detection in Point Clouds. - Anshul Paigwar; Özgür Erkent; Christian Wolf 001; Christian Laugier (CVPR Workshops, 2019)

End-to-End Learning of Semantic Grid Estimation Deep Neural Network with Occupancy Grids. - Özgür Erkent; Christian Wolf 001; Christian Laugier (Unmanned Syst., 2019)

Instance Segmentation with Unsupervised Adaptation to Different Domains for Autonomous Vehicles. - Manuel Diaz-Zapata; Özgür Erkent; Christian Laugier (ICARCV, 2020)

Leveraging Dynamic Occupancy Grids for 3D Object Detection in Point Clouds. - David Sierra González; Anshul Paigwar; Özgür Erkent; Jilles Dibangoye; Christian Laugier (ICARCV, 2020)

Recognize Moving Objects Around an Autonomous Vehicle Considering a Deep-learning Detector Model and Dynamic Bayesian Occupancy. - Andrés E. Gómez Hernandez; Özgür Erkent; Christian Laugier (ICARCV, 2020)

GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous Vehicles. - Anshul Paigwar; Özgür Erkent; David Sierra González; Christian Laugier (IROS, 2020)

Semantic Segmentation With Unsupervised Domain Adaptation Under Varying Weather Conditions for Autonomous Vehicles. - Özgür Erkent; Christian Laugier (IEEE Robotics Autom. Lett., 2020)

YOLO-based Panoptic Segmentation Network. - Manuel Diaz-Zapata; Özgür Erkent; Christian Laugier (COMPSAC, 2021)

Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR. - Anshul Paigwar; David Sierra González; Özgür Erkent; Christian Laugier (ICCVW, 2021)

GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids. - Özgür Erkent; David Sierra González; Anshul Paigwar; Christian Laugier (ICVS, 2021)

LAPTNet: LiDAR-Aided Perspective Transform Network. - Manuel Diaz-Zapata; Özgür Erkent; Christian Laugier; Jilles Dibangoye; David Sierra González (ICARCV, 2022)

TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction. - Gustavo Salazar-Gomez; David Sierra González; Manuel Diaz-Zapata; Anshul Paigwar; Wenqian Liu; Özgür Erkent; Christian Laugier (ICARCV, 2022)

MultiLane: Lane Intention Prediction and Sensible Lane-Oriented Trajectory Forecasting on Centerline Graphs. - David Sierra González; Anshul Paigwar; Özgür Erkent; Christian Laugier (ITSC, 2022)

LAPTNet-FPN: Multi-Scale LiDAR-Aided Projective Transform Network for Real Time Semantic Grid Prediction. - Manuel Diaz-Zapata; David Sierra González; Özgür Erkent; Christian Laugier; Jilles Dibangoye (ICRA, 2023)

Multi-Modal Multi-Task (3MT) Road Segmentation. - Erkan Milli; Özgür Erkent; Asim Egemen Yilmaz (IEEE Robotics Autom. Lett., 2023)