Christos Sakaridis

Orcid: 0000-0003-1127-8887

According to our database1, Christos Sakaridis authored at least 39 papers between 2017 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
UniDepth: Universal Monocular Metric Depth Estimation.
CoRR, 2024

Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes.
CoRR, 2024

MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty.
CoRR, 2024

OVeNet: Offset Vector Network for Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Advances in deep concealed scene understanding.
Vis. Intell., 2023

Masked Vision-language Transformer in Fashion.
Int. J. Autom. Comput., 2023

MuRF: Multi-Baseline Radiance Fields.
CoRR, 2023

Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding.
CoRR, 2023

Condition-Invariant Semantic Segmentation.
CoRR, 2023

CamDiff: Camouflage Image Augmentation via Diffusion Model.
CoRR, 2023

Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HRFuser: A Multi-Resolution Sensor Fusion Architecture for 2D Object Detection.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Event-Based Frame Interpolation with Ad-hoc Deblurring.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Indiscernible Object Counting in Underwater Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

iDisc: Internal Discretization for Monocular Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Maskomaly: Zero-Shot Mask Anomaly Segmentation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

TT-NF: Tensor Train Neural Fields.
CoRR, 2022

Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras.
CoRR, 2022

Event-Based Fusion for Motion Deblurring with Cross-modal Attention.
Proceedings of the Computer Vision - ECCV 2022, 2022

P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LiDAR Snowfall Simulation for Robust 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion.
Proceedings of the Conference on Robot Learning, 2022

2021
Semantic Understanding of Driving Scenes in Adverse Conditions.
PhD thesis, 2021

Scale-Aware Domain Adaptive Faster R-CNN.
Int. J. Comput. Vis., 2021

MEFNet: Multi-scale Event Fusion Network for Motion Deblurring.
CoRR, 2021

ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding.
Int. J. Comput. Vis., 2020

2019
Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation.
CoRR, 2019

Semantic Understanding of Foggy Scenes with Purely Synthetic Data.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Semantic Foggy Scene Understanding with Synthetic Data.
Int. J. Comput. Vis., 2018

Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding.
Proceedings of the Computer Vision - ECCV 2018, 2018

Domain Adaptive Faster R-CNN for Object Detection in the Wild.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Theoretical Analysis of Active Contours on Graphs.
SIAM J. Imaging Sci., 2017


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