Monocular vision obstacles detection for autonomous navigation. - S. Wybo; Dzmitry Tsishkou; C. Vestri; Frédéric Abad; S. Bougnoux; Rémy Bendahan (IROS, 2008)

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 (Intelligent Vehicles Symposium, 2017)

LENS: Localization enhanced by NeRF synthesis. - Arthur Moreau; Nathan Piasco; Dzmitry Tsishkou; Bogdan Stanciulescu; Arnaud de La Fortelle (CoRL, 2021)

HOME: Heatmap Output for future Motion Estimation. - Thomas Gilles; Stefano Sabatini; Dzmitry Tsishkou; Bogdan Stanciulescu; Fabien Moutarde (ITSC, 2021)

Learning Human-like Driving Policies from Real Interactive Driving Scenes. - Yann Koeberle; Stefano Sabatini; Dzmitry Tsishkou; Christophe Sabourin (ICINCO, 2022)

THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling. - Thomas Gilles; Stefano Sabatini; Dzmitry Tsishkou; Bogdan Stanciulescu; Fabien Moutarde (ICLR, 2022)

GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation. - Thomas Gilles; Stefano Sabatini; Dzmitry Tsishkou; Bogdan Stanciulescu; Fabien Moutarde (ICRA, 2022)

Exploring the trade off between human driving imitation and safety for traffic simulation. - Yann Koeberle; Stefano Sabatini; Dzmitry Tsishkou; Christophe Sabourin (ITSC, 2022)

CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization. - Arthur Moreau; Nathan Piasco; Dzmitry Tsishkou; Bogdan Stanciulescu; Arnaud de La Fortelle (WACV, 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)

Uncertainty estimation for Cross-dataset performance in Trajectory prediction. - Thomas Gilles; Stefano Sabatini; Dzmitry Tsishkou; Bogdan Stanciulescu; Fabien Moutarde (CoRR, 2022)

Exploiting map information for self-supervised learning in motion forecasting. - Caio Azevedo; Thomas Gilles; Stefano Sabatini; Dzmitry Tsishkou (CoRR, 2022)

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 (ICCV, 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)

ImPosing: Implicit Pose Encoding for Efficient Visual Localization. - Arthur Moreau; Thomas Gilles; Nathan Piasco; Dzmitry Tsishkou; Bogdan Stanciulescu; Arnaud de La Fortelle (WACV, 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)

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)

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 (3DV, 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 (CVPR, 2024)

SWAG: Splatting in the Wild Images with Appearance-Conditioned Gaussians. - Hiba Dahmani; Moussâb Bennehar; Nathan Piasco; Luis Roldão; Dzmitry Tsishkou (ECCV (76), 2024)

RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes. - Thang-Anh-Quan Nguyen; Luis Roldão; Nathan Piasco; Moussâb Bennehar; Dzmitry Tsishkou (ECCV (72), 2024)

3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration. - Quentin Herau; Moussâb Bennehar; Arthur Moreau; Nathan Piasco; Luis Roldão; Dzmitry Tsishkou; Cyrille Migniot; Pascal Vasseur; Cédric Demonceaux (IROS, 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)

ViiNeuS: Volumetric Initialization for Implicit Neural Surface Reconstruction of Urban Scenes with Limited Image Overlap. - Hala Djeghim; Nathan Piasco; Moussâb Bennehar; Luis Roldao; Dzmitry Tsishkou; Désiré Sidibé (CVPR, 2025)

Pointmap-Conditioned Diffusion for Consistent Novel View Synthesis. - Thang-Anh-Quan Nguyen; Nathan Piasco; Luis Roldão; Moussâb Bennehar; Dzmitry Tsishkou; Laurent Caraffa; Jean-Philippe Tarel; Roland Brémond (CoRR, 2025)

CoStruction: Conjoint radiance field optimization for urban scene reconStruction with limited image overlap. - Fusang Wang; Hala Djeghim; Nathan Piasco; Moussâb Bennehar; Luis Roldão; Dzmitry Tsishkou (CoRR, 2025)

Pose Optimization for Autonomous Driving Datasets using Neural Rendering Models. - Quentin Herau; Nathan Piasco; Moussâb Bennehar; Luis Roldão; Dzmitry Tsishkou; Bingbing Liu; Cyrille Migniot; Pascal Vasseur; Cédric Demonceaux (CoRR, 2025)

SAIL: Self-supervised Albedo Estimation from Real Images with a Latent Diffusion Model. - Hala Djeghim; Nathan Piasco; Luis Roldão; Moussâb Bennehar; Dzmitry Tsishkou; Céline Loscos; Désiré Sidibé (CoRR, 2025)

PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Scenes. - Christina Ourania Tze; Daniel Dauner; Yiyi Liao; Dzmitry Tsishkou; Andreas Geiger 001 (CoRR, 2025)

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving. - Kai Chen 023; Ruiyuan Gao 001; Lanqing Hong; Hang Xu 004; Xu Jia 012; Holger Caesar; Dengxin Dai; Bingbing Liu; Dzmitry Tsishkou; Songcen Xu; Chunjing Xu; Qiang Xu 001; et al. (CoRR, 2025)