Ozsel Kilinc - RankMe

22 papers A* 1C 2Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving. CoRR Tugrul Gorgulu, Atakan Dag, M. Esat Kalfaoglu, Halil Ibrahim Kuru, Baris Can Cam, Ozsel Kilinc
2026	J	`jnl`	TopoBDA: Towards Bezier deformable attention for road topology understanding. Neurocomputing Muhammet Esat Kalfaoglu, Halil Ibrahim Öztürk, Ozsel Kilinc, Alptekin Temizel
2026	J	`jnl`	TopoMaskV3: 3D Mask Head with Dense Offset and Height Predictions for Road Topology Understanding. CoRR Muhammet Esat Kalfaoglu, Halil Ibrahim Öztürk, Ozsel Kilinc, Alptekin Temizel
2025	J	`jnl`	GLane3D : Detecting Lanes with Graph of 3D Keypoints. CoRR Halil Ibrahim Öztürk, M. Esat Kalfaoglu, Ozsel Kilinc
2025	A*	`conf`	GLane3D: Detecting Lanes with Graph of 3D Keypoints. CVPR Halil Ibrahim Öztürk, Muhammet Esat Kalfaoglu, Ozsel Kilinc
2025	J	`jnl`	RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection. CoRR Ozsel Kilinc, Cem Tarhan
2024	J	`jnl`	TopoBDA: Towards Bezier Deformable Attention for Road Topology Understanding. CoRR M. Esat Kalfaoglu, Halil Ibrahim Öztürk, Ozsel Kilinc, Alptekin Temizel
2024	J	`jnl`	TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem. CoRR M. Esat Kalfaoglu, Halil Ibrahim Öztürk, Ozsel Kilinc, Alptekin Temizel
2023	J	`jnl`	TopoMask: Instance-Mask-Based Formulation for the Road Topology Problem via Transformer-Based Architecture. CoRR M. Esat Kalfaoglu, Halil Ibrahim Öztürk, Ozsel Kilinc, Alptekin Temizel
2022	J	`jnl`	Reinforcement learning for robotic manipulation using simulated locomotion demonstrations. Mach. Learn. Ozsel Kilinc, Giovanni Montana
2020	J	`jnl`	Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals. CoRR Ozsel Kilinc, Giovanni Montana
2019	J	`jnl`	Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations. CoRR Ozsel Kilinc, Yang Hu, Giovanni Montana
2018	J	`jnl`	GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning. Neurocomputing Ozsel Kilinc, Ismail Uysal
2018	—	`conf`	Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization. ICLR (Poster) Ozsel Kilinc, Ismail Uysal
2018	J	`jnl`	Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization. CoRR Ozsel Kilinc, Ismail Uysal
2018	J	`jnl`	Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations. CoRR Ozsel Kilinc, Giovanni Montana
2017	J	`jnl`	Clustering-based Source-aware Assessment of True Robustness for Learning Models. CoRR Ozsel Kilinc, Ismail Uysal
2017	J	`jnl`	Deep Clustering using Auto-Clustering Output Layer. CoRR Ozsel Kilinc, Ismail Uysal
2017	J	`jnl`	GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning. CoRR Ozsel Kilinc, Ismail Uysal
2017	—	`—`	Graph-based Latent Embedding, Annotation and Representation Learning in Neural Networks for Semi-supervised and Unsupervised Settings. Ozsel Kilinc
2015	C	`conf`	Inertia Based Recognition of Daily Activities with ANNs and Spectrotemporal Features. ICMLA Ozsel Kilinc, Alexander Dalzell, Ismail Uluturk, Ismail Uysal
2015	C	`conf`	Source-Aware Partitioning for Robust Cross-Validation. ICMLA Ozsel Kilinc, Ismail Uysal