316 citations · 320 across the 6 of their papers we have counts for
7 papers
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
Fengyi Shen, Akhil Gurram, Ziyuan Liu +2
Domain adaptive semantic segmentation methods commonly utilize stage-wise training, consisting of a warm-up and a self-training stage. However, this popular approach still faces se…
On the Metrics for Evaluating Monocular Depth Estimation
Akhil Gurram, Antonio M. Lopez
Monocular Depth Estimation (MDE) is performed to produce 3D information that can be used in downstream tasks such as those related to on-board perception for Autonomous Vehicles (A…
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation
Fengyi Shen, Zador Pataki, Akhil Gurram +3
Due to the lack of training labels and the difficulty of annotating, dealing with adverse driving conditions such as nighttime has posed a huge challenge to the perception system o…
TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
Fengyi Shen, Akhil Gurram, Ahmet Faruk Tuna +2
Due to the difficulty of obtaining ground-truth labels, learning from virtual-world datasets is of great interest for real-world applications like semantic segmentation. From domai…
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
Akhil Gurram, Ahmet Faruk Tuna, Fengyi Shen +2
Depth information is essential for on-board perception in autonomous driving and driver assistance. Monocular depth estimation (MDE) is very appealing since it allows for appearanc…
Multimodal End-to-End Autonomous Driving
Yi Xiao, Felipe Codevilla, Akhil Gurram +2
A crucial component of an autonomous vehicle (AV) is the artificial intelligence (AI) is able to drive towards a desired destination. Today, there are different paradigms addressin…
Monocular Depth Estimation by Learning from Heterogeneous Datasets
Akhil Gurram, Onay Urfalioglu, Ibrahim Halfaoui +2
Depth estimation provides essential information to perform autonomous driving and driver assistance. Especially, Monocular Depth Estimation is interesting from a practical point of…