Toyota Technological Institute at Chicago

Object Detection with Discriminatively Trained Part-Based Models

We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-...

Vision meets robotics: The KITTI dataset

We present a novel dataset captured from a VW station wagon for use in mobile robotics and autonomous driving research. In total, we recorded 6 hours of traffic scenarios at 10–...

A discriminatively trained, multiscale, deformable part model

This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the...

Template-based protein structure modeling using the RaptorX web server

A scalable active framework for region annotation in 3D shape collections

Large repositories of 3D shapes provide valuable input for data-driven analysis and modeling tools. They are especially powerful once annotated with semantic information such as...

Searching for missing heritability: Designing rare variant association studies

Significance Discovering the genetic basis of common diseases, such as diabetes, heart disease, and schizophrenia, is a key goal in biomedicine. Genomic studies have revealed th...

Cost-sensitive learning by cost-proportionate example weighting

We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...

Composite objective mirror descent

We present a new method for regularized convex optimization and analyze it under both online and stochastic optimization settings. In addition to unifying previously known first...

Logarithmic Regret Algorithms for Online Convex Optimization

Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization

In this paper we propose an affordable solution to self-localization, which utilizes visual odometry and road maps as the only inputs. To this end, we present a probabilistic mo...