George Eskandar

Orcid: 0000-0002-8099-8717

According to our database1, George Eskandar authored at least 14 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains.
CoRR, 2024

2023
USIS: Unsupervised Semantic Image Synthesis.
Comput. Graph., April, 2023

Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Towards Pragmatic Semantic Image Synthesis for Urban Scenes.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

A Semi-Paired Approach for Label-to-Image Translation.
Proceedings of the IEEE International Conference on Image Processing, 2023

NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
GLPU: A Geometric Approach For Lidar Pointcloud Upsampling.
CoRR, 2022

Few-Shot Object Detection in Unseen Domains.
Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Wavelet-Based Unsupervised Label-to-Image Translation.
Proceedings of the IEEE International Conference on Acoustics, 2022

CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
SLPC: A VRNN-based approach for stochastic lidar prediction and completion in autonomous driving.
Proceedings of the 29th European Signal Processing Conference, 2021

2016
The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects.
NeuroImage, 2016


  Loading...