Dzmitry Tsishkou

According to our database¹, Dzmitry Tsishkou authored at least 22 papers between 2008 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

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On csauthors.net:

Bibliography

2024

3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration.

[BibT_eX]

[DOI]

CoRR, 2024

SWAG: Splatting in the Wild images with Appearance-conditioned Gaussians.

[BibT_eX]

[DOI]

CoRR, 2024

SCILLA: SurfaCe Implicit Learning for Large Urban Area, a volumetric hybrid solution.

[BibT_eX]

[DOI]

CoRR, 2024

RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes.

[BibT_eX]

[DOI]

Thang-Anh-Quan Nguyen

CoRR, 2024

2023

SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields.

[BibT_eX]

[DOI]

CoRR, 2023

PlaNeRF: SVD Unsupervised 3D Plane Regularization for NeRF Large-Scale Scene Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

MOISST: Multi-modal Optimization of Implicit Scene for SpatioTemporal calibration.

[BibT_eX]

[DOI]

CoRR, 2023

ImPosing: Implicit Pose Encoding for Efficient Visual Localization.

[BibT_eX]

[DOI]

Arnaud de La Fortelle

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal Calibration.

[BibT_eX]

[DOI]

IROS, 2023

CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation.

[BibT_eX]

[DOI]

Arnaud de La Fortelle

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Exploiting map information for self-supervised learning in motion forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

Uncertainty estimation for Cross-dataset performance in Trajectory prediction.

[BibT_eX]

[DOI]

CoRR, 2022

ImPosIng: Implicit Pose Encoding for Efficient Camera Pose Estimation.

[BibT_eX]

[DOI]

Arnaud de La Fortelle

CoRR, 2022

CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization.

[BibT_eX]

[DOI]

Arnaud de La Fortelle

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Exploring the trade off between human driving imitation and safety for traffic simulation.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Human-like Driving Policies from Real Interactive Driving Scenes.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Informatics in Control, 2022

2021

HOME: Heatmap Output for future Motion Estimation.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

LENS: Localization enhanced by NeRF synthesis.

[BibT_eX]

[DOI]

Arnaud de La Fortelle

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2017

Efficient combination of Lidar intensity and 3D information by DNN for pedestrian recognition with high and low density 3D sensor.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2008

Monocular vision obstacles detection for autonomous navigation.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Dzmitry Tsishkou

Timeline

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