4 citations · 8 across the 3 of their papers we have counts for
8 papers
Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
Alexander Ivanov, Gleb Nosovskiy, Alexey Chekunov +7
Manifold hypothesis states that data points in high-dimensional space actually lie in close vicinity of a manifold of much lower dimension. In many cases this hypothesis was empiri…
Darker than Black-Box: Face Reconstruction from Similarity Queries
Anton Razzhigaev, Klim Kireev, Igor Udovichenko +1
Several methods for inversion of face recognition models were recently presented, attempting to reconstruct a face from deep templates. Although some of these approaches work in a…
MDMMT: Multidomain Multimodal Transformer for Video Retrieval
Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov +1
We present a new state-of-the-art on the text to video retrieval task on MSRVTT and LSMDC benchmarks where our model outperforms all previous solutions by a large margin. Moreover,…
Robustness Threats of Differential Privacy
Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets
Differential privacy (DP) is a gold-standard concept of measuring and guaranteeing privacy in data analysis. It is well-known that the cost of adding DP to deep learning model is i…
Mutual Modality Learning for Video Action Classification
Stepan Komkov, Maksim Dzabraev, Aleksandr Petiushko
The construction of models for video action classification progresses rapidly. However, the performance of those models can still be easily improved by ensembling with the same mod…
Black-Box Face Recovery from Identity Features
Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov +2
In this work, we present a novel algorithm based on an it-erative sampling of random Gaussian blobs for black-box face recovery, given only an output feature vector of deep face re…