Computational Perception & Robotics
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Towards Using Visual Attributes to Infer Image Sentiment Of Social Events
(Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2017)Widespread and pervasive adoption of smartphones has led to instant sharing of photographs that capture events ranging from mundane to life-altering happenings. We propose to capture sentiment information of such social ... -
Selfie-Presentation in Everyday Life: A Large-scale Characterization of Selfie Contexts on Instagram
(Georgia Institute of TechnologyAssociation for the Advancement of Artificial Intelligence, 2017)Carefully managing the presentation of self via technology is a core practice on all modern social media platforms. Recently, selfies have emerged as a new, pervasive genre of identity performance. In many ways unique, ... -
The Middle Child Problem: Revisiting Parametric Min-cut and Seeds for Object Proposals
(Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-12)Object proposals have recently fueled the progress in detection performance. These proposals aim to provide category-agnostic localizations for all objects in an image. One way to generate proposals is to perform parametric ... -
Rigid Components Identification and Rigidity Enforcement in Bearing-Only Localization using the Graph Cycle Basis
(Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015)Bearing-only localization can be formulated in terms of optimal graph embedding: one has to assign a 2-D or 3-D position to each node in a graph while satisfying as close as possible all the bearing-only constraints on ... -
IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation
(Georgia Institute of Technology, 2015)Recent results in monocular visual-inertial navigation (VIN) have shown that optimization-based approaches outperform filtering methods in terms of accuracy due to their capability to relinearize past states. However, the ... -
Lagrangian Duality in 3D SLAM: Verification Techniques and Optimal Solutions
(Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015)State-of-the-art techniques for simultaneous localization and mapping (SLAM) employ iterative nonlinear optimization methods to compute an estimate for robot poses. While these techniques often work well in practice, ... -
Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping
(Georgia Institute of Technology, 2014-12)Recent work has investigated the problem of continuous-time trajectory estimation and mapping for mobile robots by formulating the problem as sparse Gaussian process regression. Gaussian processes provide a continuous-time ... -
Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping
(Georgia Institute of Technology, 2015-07)Recent work on simultaneous trajectory estimation and mapping (STEAM) for mobile robots has found success by representing the trajectory as a Gaussian process. Gaussian processes can represent a ... -
Consistent Decentralized Graphical SLAM with Anti-Factor Down-Dating
(Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2012-11)This report presents our recent and ongoing work developing a consistent decentralized data fusion approach for robust multi-robot SLAM in dangerous, unknown environments. The DDF-SAM 2.0 approach extends our previous ... -
Distributed Navigation with Unknown Initial Poses and Data Association via Expectation Maximization
(Georgia Institute of Technology, 2015-02)We present a novel approach for multi-robot distributed and incremental inference over variables of interest, such as robot trajectories, considering the initial relative poses between the robots and multi-robot ... -
Information Fusion in Navigation Systems via Factor Graph Based Incremental Smoothing
(Georgia Institute of TechnologyElsevier B.V., 2013-08)This paper presents a new approach for high-rate information fusion in modern inertial navigation systems, that have a variety of sensors operating at different frequencies. Optimal information fusion corresponds to ... -
Predicting Daily Activities From Egocentric Images Using Deep Learning
(Georgia Institute of TechnologyAssociation for Computing Machinery, 2015)We present a method to analyze images taken from a passive egocentric wearable camera along with the contextual information, such as time and day of week, to learn and predict everyday activities of an individual. We ... -
A Practical Approach for Recognizing Eating Moments With Wrist-Mounted Inertial Sensing
(Georgia Institute of TechnologyAssociation for Computing Machinery, 2015)Recognizing when eating activities take place is one of the key challenges in automated food intake monitoring. Despite progress over the years, most proposed approaches have been largely impractical for everyday usage, ... -
Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study
(Georgia Institute of TechnologyAssociation for Computing Machinery, 2015)Dietary self-monitoring has been shown to be an effective method for weight-loss, but it remains an onerous task despite recent advances in food journaling systems. Semi-automated food journaling can reduce the effort of ... -
Automated Assessment of Surgical Skills Using Frequency Analysis
(Georgia Institute of Technology, 2015)We present an automated framework for visual assessment of the expertise level of surgeons using the OSATS (Objective Structured Assessment of Technical Skills) criteria. Video analysis techniques for extracting motion ... -
Incremental Light Bundle Adjustment for Structure From Motion and Robotics
(Georgia Institute of TechnologyElsevier B.V., 2015)Bundle adjustment (BA) is essential in many robotics and structure-from-motion applications. In robotics, often a bundle adjustment solution is desired to be available incrementally as new poses and 3D points are observed. ... -
An Experimental Study of Robust Distributed Multi-Robot Data Association from Arbitrary Poses
(Georgia Institute of Technology, 2014-06)In this work, we experimentally investigate the problem of computing the relative transformation between multiple vehicles from corresponding interrobot observations during autonomous operation in a common unknown ... -
Planning in the Continuous Domain: a Generalized Belief Space Approach for Autonomous Navigation in Unknown Environments
(Georgia Institute of Technology, 2015)We investigate the problem of planning under uncertainty, with application to mobile robotics. We propose a probabilistic framework in which the robot bases its decisions on the generalized belief, which is a probabilistic ... -
Incremental Distributed Robust Inference from Arbitrary Robot Poses via EM and Model Selection
(Georgia Institute of Technology, 2014-07)We present a novel approach for multi-robot distributed and incremental inference over variables of interest, such as robot trajectories, considering the initial relative poses between the robots and multi-robot data ... -
Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping
(Georgia Institute of Technology, 2015-09)Recent work on simultaneous trajectory estimation and mapping (STEAM) for mobile robots has found success by representing the trajectory as a Gaussian process. Gaussian processes can represent a continuous-time trajectory, ...
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