604 citations · 816 across the 17 of their papers we have counts for
19 papers
Searching for Better Database Queries in the Outputs of Semantic Parsers
Anton Osokin, Irina Saparina, Ramil Yarullin
The task of generating a database query from a question in natural language suffers from ambiguity and insufficiently precise description of the goal. The problem is amplified when…
SPARQLing Database Queries from Intermediate Question Decompositions
Irina Saparina, Anton Osokin
To translate natural language questions into executable database queries, most approaches rely on a fully annotated training set. Annotating a large dataset with queries is difficu…
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
Anton Osokin, Denis Sumin, Vasily Lomakin
In this paper, we consider the task of one-shot object detection, which consists in detecting objects defined by a single demonstration. Differently from the standard object detect…
Cost-Sensitive Training for Autoregressive Models
Irina Saparina, Anton Osokin
Training autoregressive models to better predict under the test metric, instead of maximizing the likelihood, has been reported to be beneficial in several use cases but brings add…
Scaling Matters in Deep Structured-Prediction Models
Aleksandr Shevchenko, Anton Osokin
Deep structured-prediction energy-based models combine the expressive power of learned representations and the ability of embedding knowledge about the task at hand into the system…
Tube-CNN: Modeling temporal evolution of appearance for object detection in video
Tuan-Hung Vu, Anton Osokin, Ivan Laptev
Object detection in video is crucial for many applications. Compared to images, video provides additional cues which can help to disambiguate the detection problem. Our goal in thi…