Karim Guirguis

According to our database1, Karim Guirguis authored at least 13 papers between 2019 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

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

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

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

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
Investigating Cross-Domain Losses for Speech Enhancement.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Perceptual Speech Enhancement via Generative Adversarial Networks.
CoRR, 2019


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