Scholar
Boris Chidlovskii
Google Scholar ID: V7EJdOcAAAAJ
Principal Scientist, Naver Labs Europe
Artificial Intelligence
Computer Vision
Deep Learning
Robotics
Data Mining
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Citations & Impact
All-time
Citations
3,377
H-index
26
i10-index
63
Publications
20
Co-authors
21
list available
Contact
Email
boris.chidlovskii@naverlabs.com
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Publications
4 items
S-MUSt3R: Sliding Multi-view 3D Reconstruction
2026
Cited
0
PanSt3R: Multi-view Consistent Panoptic Segmentation
2025
Cited
0
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
2025
Cited
0
MUSt3R: Multi-view Network for Stereo 3D Reconstruction
2025
Cited
0
Resume (English only)
Academic Achievements
Published several papers, including:
- PanSt3R: Multi-view consistent panoptic segmentation
- MUSt3R: Multi-view Network for Stereo 3D Reconstruction
- Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
- 3D-consistent image inpainting with diffusion models
- DUSt3R: Geometric 3D Vision Made Easy
- Learning to navigate efficiently and precisely in real environments
- Self-supervised pretraining and finetuning for monocular depth and visual odometry
- End-to-End (instance)-image goal navigation through correspondence as an emergent phenomenon
- Zero-BEV: Zero-shot projection of any first-person modality to BEV maps
- CroCo v2: Improved cross-view completion pre-training for stereo matching and optical flow
- Learning whom to trust in navigation: dynamically switching between classical and neural planning
- Multi-Object Navigation in real environments using hybrid policies
- CroCo: Self-Supervised Pretraining for 3D Vision Tasks by Cross-View Completion
- Semantic image segmentation: two decades of research
- PUMP: pyramidal and uniqueness matching priors for unsupervised learning of local features
- Unsupervised domain adaptation for semantic image segmentation: a comprehensive survey
- An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments
- Learning synthetic to real transfer for localization and navigational tasks
- Magnetic field sensing for pedestrian and robot indoor positioning
- Learning from long-tailed data with noisy labels
- Universal domain adaptation in ordinal regression
Miscellany
Telephone number: +33 (0)4 76 61 50 25
E-mail address: boris.chidlovskii@naverlabs.com
Co-authors
21 total
Gabriela Csurka
Principal Scientist at Naver Labs Europe
Jerome Revaud
Research Scientist, Naver Labs Europe
Vincent Leroy
Research scientist, Naver Labs Europe
Elisa Bertino
Professor of Computer Science, Purdue University
Stéphane Clinchant
Naver Labs Europe
Philippe Weinzaepfel
Principal Research Scientist, Naver Labs Europe
Co-author 7
Beng Chin OOI
Zhejiang University
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