Dzmitry Tsishkou

According to our database, Dzmitry Tsishkou authored at least 23 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Quentin Herau, Moussâb Bennehar, Arthur Moreau, Nathan Piasco, Luis Roldao, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux

CoRR, 2024

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

Hala Djeghim, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou, Désiré Sidibé

CoRR, 2024

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

Thang-Anh-Quan Nguyen, Luis Roldão, Nathan Piasco, Moussâb Bennehar, Dzmitry Tsishkou

Proceedings of the Computer Vision - ECCV 2024, 2024

SWAG: Splatting in the Wild Images with Appearance-Conditioned Gaussians.

Hiba Dahmani, Moussâb Bennehar, Nathan Piasco, Luis Roldão, Dzmitry Tsishkou

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Quentin Herau, Nathan Piasco, Moussâb Bennehar, Luis Roldao, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Fusang Wang, Arnaud Louys, Nathan Piasco, Moussâb Bennehar, Luis Roldao, Dzmitry Tsishkou

Proceedings of the International Conference on 3D Vision, 2024

2023

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

Fusang Wang, Arnaud Louys, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou

CoRR, 2023

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

Quentin Herau, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux

CoRR, 2023

ImPosing: Implicit Pose Encoding for Efficient Visual Localization.

Arthur Moreau, Thomas Gilles, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, 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.

Quentin Herau, Nathan Piasco, Moussâb Bennehar, Luis Roldão, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux

IROS, 2023

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

Arthur Moreau, Nathan Piasco, Moussâb Bennehar, Dzmitry Tsishkou, Bogdan Stanciulescu, 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.

Caio Azevedo, Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou

CoRR, 2022

Uncertainty estimation for Cross-dataset performance in Trajectory prediction.

Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde

CoRR, 2022

ImPosIng: Implicit Pose Encoding for Efficient Camera Pose Estimation.

Arthur Moreau, Thomas Gilles, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle

CoRR, 2022

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

Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, 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.

Yann Koeberle, Stefano Sabatini, Dzmitry Tsishkou, Christophe Sabourin

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

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

Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde

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

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

Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Yann Koeberle, Stefano Sabatini, Dzmitry Tsishkou, Christophe Sabourin

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

2021

HOME: Heatmap Output for future Motion Estimation.

Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde

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

LENS: Localization enhanced by NeRF synthesis.

Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, 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.

Luc Mioulet, Dzmitry Tsishkou, Rémy Bendahan, Frédéric Abad

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2008

Monocular vision obstacles detection for autonomous navigation.

S. Wybo, Dzmitry Tsishkou, C. Vestri, Frédéric Abad, S. Bougnoux, Rémy Bendahan

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