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    Learning from the Field: Physically-based Deep Learning to Advance Robot Vision in Natural Environments 

    Skinner, Katherine (Georgia Institute of Technology, 2020-01-08)
    Field robotics refers to the deployment of robots and autonomous systems in unstructured or dynamic environments across air, land, sea, and space. Robust sensing and perception can enable these systems to perform tasks ...
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    Behind the Scenes: Decoding Intent from First Person Video 

    Park, Hyun Soo (Georgia Institute of Technology, 2017-02-01)
    A first person video records not only what is out in the environment but also what is in our head (intention and attention) at the time via social and physical interactions. It is invisible but it can be revealed by ...
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    Weakly Supervised Learning from Images and Video 

    Laptev, Ivan (2016-09-30)
    Recent progress in visual recognition goes hand-in-hand with the supervised learning and large-scale training data. While the amount of existing images and videos is huge, their detailed annotation is expensive and often ...
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    Understanding and Mitigating Bias in Vision Systems 

    Hoffman, Judy (Georgia Institute of Technology, 2021-10-06)
    As visual recognition models are developed across diverse applications; we need the ability to reliably deploy our systems in a variety of environments. At the same time, visual models tend to be trained and evaluated on ...
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    An MCMC-based Particle Filter for Tracking Multiple Interacting Targets 

    Khan, Zia; Balch, Tucker; Dellaert, Frank (Georgia Institute of Technology, 2003)
    We describe a Markov chain Monte Carlo based particle filter that effectively deals with interacting targets, i.e., targets that are influenced by the proximity and/or behavior of other targets. Such interactions cause ...
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    A Visualization Framework for Team Sports Captured using Multiple Static Cameras 

    Hamid, Raffay; Kumar, Ramkrishan; Hodgins, Jessica; Essa, Irfan (Georgia Institute of Technology, 2013)
    We present a novel approach for robust localization of multiple people observed using a set of static cameras. We use this location information to generate a visualization of the virtual offside line in soccer games. To ...
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    An Integrated Sensing Approach for Entry, Descent, and Landing of a Robotic Spacecraft 

    Howard, Ayanna; Jones, Brandon M.; Serrano, Navid (Georgia Institute of Technology, 2011-01)
    We present an integrated sensing approach for enabling autonomous landing of a robotic spacecraft on a hazardous terrain surface; this approach is active during the spacecraft descent profile. The methodology incorporates ...
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    GroupSAC: Efficient Consensus in the Presence of Groupings 

    Ni, Kai; Jin, Hailin; Dellaert, Frank (Georgia Institute of Technology, 2009-09)
    We present a novel variant of the RANSAC algorithm that is much more efficient, in particular when dealing with problems with low inlier ratios. Our algorithm assumes that there exists some grouping in the data, based ...
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    Modeling structured activity to support human-robot collaboration in the presence of task and sensor uncertainty 

    Hawkins, Kelsey P.; Bansal, Shray; Vo, Nam; Bobick, Aaron F. (Georgia Institute of Technology, 2013-11)
    A representation for structured activities is developed that allows a robot to probabilistically infer which task actions a human is currently performing and to predict which future actions will be executed and when they ...
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    Vision sensing for control of long-reach flexible manipulators 

    Obergfell, Klaus; Book, Wayne John (Georgia Institute of Technology, 1996-07)
    This paper presents an end-point position measurement method for long-reach flexible manipulators using a landmark tracking system (LTS). The LTS is based on a computer vision system designed for the tracking of retro ...
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    AuthorDellaert, Frank (14)Balch, Tucker (4)Fathi, Alireza (4)Khan, Zia (4)Howard, Ayanna M. (3)Rehg, James M. (3)Bansal, Shray (2)Bershadsky, Dmitry (2)Bobick, Aaron F. (2)Essa, Irfan (2)... View MoreSubject
    Computer vision (40)
    Markov chain Monte Carlo (4)Object recognition (4)Robotics (4)Deep learning (3)Egocentric activities (3)Structure from motion (3)3D reconstruction (2)6DOF (2)Algorithms (2)... View MoreDate Issued2020 - 2022 (3)2010 - 2019 (20)2000 - 2009 (16)1996 - 1999 (1)Has File(s)Yes (39)No (1)
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