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Akhil Gurram
Akhil Gurram
Co-founder/CTO, FaceIntel and Adjunct Professor, Vignan University
Verified email at faceintel.ai
Title
Cited by
Cited by
Year
Multimodal end-to-end autonomous driving
Y Xiao, F Codevilla, A Gurram, O Urfalioglu, AM López
IEEE Transactions on Intelligent Transportation Systems, 2020
2092020
Monocular depth estimation through virtual-world supervision and real-world SFM self-supervision
A Gurram, AF Tuna, F Shen, O Urfalioglu, AM López
IEEE Transactions on Intelligent Transportation Systems 23 (8), 12738-12751, 2021
312021
Monocular Depth Estimation by Learning from Heterogeneous Datasets
A Gurram, O Urfalioglu, I Halfaoui, F Bouzaraa, AM Lopez
2018 IEEE Intelligent Vehicles Symposium (IV), 2018
262018
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
F Shen, A Gurram, Z Liu, H Wang, A Knoll
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
52023
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation
F Shen, Z Pataki, A Gurram, Z Liu, H Wang, A Knoll
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
42023
On the Metrics for Evaluating Monocular Depth Estimation
A Gurram, AM Lopez
arXiv preprint arXiv:2302.10007, 2023
22023
TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
F Shen, A Gurram, AF Tuna, O Urfalioglu, A Knoll
arXiv preprint arXiv:2111.15300, 2021
22021
Semantic Monocular Depth Estimation Based on Artificial Intelligence
A Gurram, O Urfalioglu, I Halfaoui, F Bouzaraa, AM Lopez
IEEE Intelligent Transportation Systems Magazine 13 (4), 99-103, 2020
22020
Monocular Depth Estimation for Autonomous Driving
A Gurram
Universitat Autònoma de Barcelona, 2022
12022
Learnable localization using images
O Urfalioglu, A Gurram, F Bouzaraa
US Patent App. 17/473,466, 2021
12021
Sampling based self-supervised depth and pose estimation
O Urfalioglu, A Gurram, I Halfaoui
US Patent App. 18/315,325, 2023
2023
Supplementary for DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
F Shen, A Gurram, Z Liu, H Wang, A Knoll, A Training
Supplementary for LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation
F Shen, Z Pataki, A Gurram, Z Liu, H Wang, A Knoll
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