Ekaterina Radionova — accepted AI-conference papers

2025

RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation

Mingfei Han, Liang Ma, Kamila Zhumakhanova, Ekaterina Radionova, Jingyi Zhang, Xiaojun Chang +2

CVPR 2025poster

Vision-and-Language Navigation (VLN) suffers from the limited diversity and scale of training data, primarily constrained by the manual curation of existing simulators.To address this, we introduce RoomTour3D, a video-instruction dataset derived from web-based room tour videos that capture real-worl…

Cited by 3 Source ↗PDF ↗Scholar ↗

2023

FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits

Polina Karpikova, Ekaterina Radionova, Anastasia Yaschenko, Andrei Spiridonov, Leonid Kostyushko, Riccardo Fabbricatore +1

CVPR 2023poster

Generative DNNs are a powerful tool for image synthesis, but they are limited by their computational load. On the other hand, given a trained model and a task, e.g. faces generation within a range of characteristics, the output image quality will be unevenly distributed among images with different c…

Cited by 8 Source ↗PDF ↗Scholar ↗