Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Onay Urfalioglu

Onay Urfalioglu
Alert button

Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction


Dec 22, 2021
Henrique Siqueira, Patrick Ruhkamp, Ibrahim Halfaoui, Markus Karmann, Onay Urfalioglu

Add code
Alert button

Figure 1 for Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
Figure 2 for Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
Figure 3 for Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
Figure 4 for Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation


Nov 30, 2021
Fengyi Shen, Akhil Gurram, Ahmet Faruk Tuna, Onay Urfalioglu, Alois Knoll

Add code
Alert button

Figure 1 for TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
Figure 2 for TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
Figure 3 for TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
Figure 4 for TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
* Accepted to BMVC2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision


Mar 22, 2021
Akhil Gurram, Ahmet Faruk Tuna, Fengyi Shen, Onay Urfalioglu, Antonio M. López

Add code
Alert button

Figure 1 for Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
Figure 2 for Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
Figure 3 for Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
Figure 4 for Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
* 12 pages, 8 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention


Jan 14, 2020
Ibrahim Halfaoui, Fahd Bouzaraa, Onay Urfalioglu, Li Minzhen

Add code
Alert button

Figure 1 for Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention
Figure 2 for Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention
Figure 3 for Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention
Figure 4 for Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Multimodal End-to-End Autonomous Driving


Jun 07, 2019
Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López

Add code
Alert button

Figure 1 for Multimodal End-to-End Autonomous Driving
Figure 2 for Multimodal End-to-End Autonomous Driving
Figure 3 for Multimodal End-to-End Autonomous Driving
Figure 4 for Multimodal End-to-End Autonomous Driving
* 15 pages, 5 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Monocular Depth Estimation by Learning from Heterogeneous Datasets


Sep 12, 2018
Akhil Gurram, Onay Urfalioglu, Ibrahim Halfaoui, Fahd Bouzaraa, Antonio M. Lopez

Add code
Alert button

Figure 1 for Monocular Depth Estimation by Learning from Heterogeneous Datasets
Figure 2 for Monocular Depth Estimation by Learning from Heterogeneous Datasets
Figure 3 for Monocular Depth Estimation by Learning from Heterogeneous Datasets
Figure 4 for Monocular Depth Estimation by Learning from Heterogeneous Datasets
* Accepted in IEEE-Intelligent Vehicles Symposium, IV'2018 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learnable Exposure Fusion for Dynamic Scenes


Apr 04, 2018
Fahd Bouzaraa, Ibrahim Halfaoui, Onay Urfalioglu

Add code
Alert button

Figure 1 for Learnable Exposure Fusion for Dynamic Scenes
Figure 2 for Learnable Exposure Fusion for Dynamic Scenes
Figure 3 for Learnable Exposure Fusion for Dynamic Scenes
Figure 4 for Learnable Exposure Fusion for Dynamic Scenes

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Symmetry Breaking in Neuroevolution: A Technical Report


Jul 22, 2011
Onay Urfalioglu, Orhan Arikan

Add code
Alert button

Figure 1 for Symmetry Breaking in Neuroevolution: A Technical Report
Figure 2 for Symmetry Breaking in Neuroevolution: A Technical Report
Figure 3 for Symmetry Breaking in Neuroevolution: A Technical Report
Figure 4 for Symmetry Breaking in Neuroevolution: A Technical Report

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Artificial Neural Networks, Symmetries and Differential Evolution


Apr 08, 2011
Onay Urfalioglu, Orhan Arikan

Add code
Alert button

Figure 1 for Artificial Neural Networks, Symmetries and Differential Evolution
Figure 2 for Artificial Neural Networks, Symmetries and Differential Evolution
Figure 3 for Artificial Neural Networks, Symmetries and Differential Evolution
Figure 4 for Artificial Neural Networks, Symmetries and Differential Evolution
* technical report 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email