11 citations · 38 across the 20 of their papers we have counts for
23 papers
CADFather: Autonomous CAD Reconstruction through Coordinated Tool Use
Gennadiy Savrasov, Maksim Elistratov, Nikita Gavrilov +7
Reconstructing an editable CAD model from a 3D shape remains a challenging engineering task. Existing methods can propose CAD operations, but no single source of proposals works eq…
ReText: Text Boosts Generalization in Image-Based Person Re-identification
Timur Mamedov, Karina Kvanchiani, Anton Konushin +1
Generalizable image-based person re-identification (Re-ID) aims to recognize individuals across cameras in unseen domains without retraining. While visual features are sensitive to…
DynaMix: Generalizable Person Re-identification via Dynamic Relabeling and Mixed Data Sampling
Timur Mamedov, Anton Konushin, Vadim Konushin
Generalizable person re-identification (Re-ID) aims to recognize individuals across unseen cameras and environments. While existing methods rely heavily on limited labeled multi-ca…
TUN3D: Towards Real-World Scene Understanding from Unposed Images
Anton Konushin, Nikita Drozdov, Bulat Gabdullin +4
Layout estimation and 3D object detection are two fundamental tasks in indoor scene understanding. When combined, they enable the creation of a compact yet semantically rich spatia…
cadrille: Multi-modal CAD Reconstruction with Reinforcement Learning
Maksim Kolodiazhnyi, Denis Tarasov, Dmitrii Zhemchuzhnikov +6
Computer-Aided Design (CAD) plays a central role in engineering and manufacturing, making it possible to create precise and editable 3D models. Using a variety of sensor or user-pr…
ReMix: Training Generalized Person Re-identification on a Mixture of Data
Timur Mamedov, Anton Konushin, Vadim Konushin
Modern person re-identification (Re-ID) methods have a weak generalization ability and experience a major accuracy drop when capturing environments change. This is because existing…