Publications

This paper considers the problem of approximate nearest neighbor search in the compressed domain.

In this work we propose to augment feedforward nets for object segmentation with a novel top-down refinement approach.

We test three modifications to the standard Fast R-CNN object detector to determine if they can overcome the object detection challenges in a COCO object detection dataset.

We investigate a wearable high temporal and spatial resolution eye tracking system based on magnetic tracking and using scleral search coils (SSC).

We scale up the feasibility of jointly learning specialized speaker and phone embeddings architectures to the 360 hours of the Librispeech corpus by implementing a sampling method to efficiently selec...

This paper describes the architecture and design of Cubrick, a distributed multidimensional in-memory DBMS suited for interactive analytics over highly dynamic datasets.

In this paper, we present Robotron, a system for managing a massive production network in a top-down fashion.

This article describes a method for constructing a special rule (we call it synergy rule) that uses as its input information the outputs (scores) of several monotonic rules which solve the same patter...

Graph reordering is a powerful technique to increase the locality of the representations of graphs, which can be helpful in several applications. We study how the technique can be used to improve comp...

This paper presents and analyzes two new classes of methods for estimating cardinalities of intersections and unions from sketches