Monocular Depth Estimation by Learning from Heterogeneous Datasets. - Akhil Gurram; Onay Urfalioglu; Ibrahim Halfaoui; Fahd Bouzaraa; Antonio M. López 001 (Intelligent Vehicles Symposium, 2018)

TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation. - Fengyi Shen; Akhil Gurram; Ahmet Faruk Tuna; Onay Urfalioglu; Alois C. Knoll (BMVC, 2021)

Semantic Monocular Depth Estimation Based on Artificial Intelligence. - Akhil Gurram; Onay Urfalioglu; Ibrahim Halfaoui; Fahd Bouzaraa; Antonio M. López 001 (IEEE Intell. Transp. Syst. Mag., 2021)

Monocular Depth Estimation Through Virtual-World Supervision and Real-World SfM Self-Supervision. - Akhil Gurram; Ahmet Faruk Tuna; Fengyi Shen; Onay Urfalioglu; Antonio M. López 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Multimodal End-to-End Autonomous Driving. - Yi Xiao 001; Felipe Codevilla; Akhil Gurram; Onay Urfalioglu; Antonio M. López 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Monocular Depth Estimation for Autonomous Driving. - Akhil Gurram (2022)

DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation. - Fengyi Shen; Akhil Gurram; Ziyuan Liu; He Wang 010; Alois Knoll (CVPR, 2023)

LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation. - Fengyi Shen; Zador Pataki; Akhil Gurram; Ziyuan Liu; He Wang 010; Alois C. Knoll (WACV, 2023)

On the Metrics for Evaluating Monocular Depth Estimation. - Akhil Gurram; Antonio M. López 001 (CoRR, 2023)