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07/10/2020
Senior Living Communities: Made Safer by AI
There is a historically unprecedented shift in demographics towards seni...
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05/20/2020
MDPs with Unawareness in Robotics
We formalize decision-making problems in robotics and automated control ...
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05/17/2017
Learning to Represent Haptic Feedback for Partially-Observable Tasks
The sense of touch, being the earliest sensory system to develop in a hu...
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06/12/2016
Human Centred Object Co-Segmentation
Co-segmentation is the automatic extraction of the common semantic regio...
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05/11/2016
Unsupervised Semantic Action Discovery from Video Collections
Human communication takes many forms, including speech, text and instruc...
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03/11/2016
Watch-n-Patch: Unsupervised Learning of Actions and Relations
There is a large variation in the activities that humans perform in thei...
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02/10/2016
Unsupervised Transductive Domain Adaptation
Supervised learning with large scale labeled datasets and deep layered m...
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01/12/2016
Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding
There is a large variety of objects and appliances in human environments...
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01/05/2016
Learning Preferences for Manipulation Tasks from Online Coactive Feedback
We consider the problem of learning preferences over trajectories for mo...
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01/05/2016
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
Advanced Driver Assistance Systems (ADAS) have made driving safer over t...
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12/14/2015
Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions
We present a robotic system that watches a human using a Kinect v2 RGB-D...
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11/26/2015
Hierarchical classification of e-commerce related social media
In this paper, we attempt to classify tweets into root categories of the...
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11/17/2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Deep Recurrent Neural Network architectures, though remarkably capable a...
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09/25/2015
Deep Multimodal Embedding: Manipulating Novel Objects with Point-clouds, Language and Trajectories
A robot operating in a real-world environment needs to perform reasoning...
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09/16/2015
Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture
Anticipating the future actions of a human is a widely studied problem i...
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06/28/2015
Unsupervised Semantic Parsing of Video Collections
Human communication typically has an underlying structure. This is refle...
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04/13/2015
Robobarista: Object Part based Transfer of Manipulation Trajectories from Crowd-sourcing in 3D Pointclouds
There is a large variety of objects and appliances in human environments...
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04/10/2015
Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models
Advanced Driver Assistance Systems (ADAS) have made driving safer over t...
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12/01/2014
RoboBrain: Large-Scale Knowledge Engine for Robots
In this paper we introduce a knowledge engine, which learns and shares k...
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07/27/2014
MDPs with Unawareness
Markov decision processes (MDPs) are widely used for modeling decision-m...
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06/10/2014
PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback
We consider the problem of learning user preferences over robot trajecto...
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06/26/2013
Learning Trajectory Preferences for Manipulators via Iterative Improvement
We consider the problem of learning good trajectories for manipulation t...
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06/24/2013
Synthesizing Manipulation Sequences for Under-Specified Tasks using Unrolled Markov Random Fields
Many tasks in human environments require performing a sequence of naviga...
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01/16/2013
Deep Learning for Detecting Robotic Grasps
We consider the problem of detecting robotic grasps in an RGB-D view of ...
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10/04/2012
Learning Human Activities and Object Affordances from RGB-D Videos
Understanding human activities and object affordances are two very impor...
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08/04/2012
Human Activity Learning using Object Affordances from RGB-D Videos
Human activities comprise several sub-activities performed in a sequence...
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08/02/2012
Multidimensional Membership Mixture Models
We present the multidimensional membership mixture (M3) models where eve...
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06/27/2012
Learning Object Arrangements in 3D Scenes using Human Context
We consider the problem of learning object arrangements in a 3D scene. T...
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11/22/2011
Contextually Guided Semantic Labeling and Search for 3D Point Clouds
RGB-D cameras, which give an RGB image to- gether with depths, are becom...
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10/24/2011
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
Scene understanding includes many related sub-tasks, such as scene categ...
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07/01/2011
Unstructured Human Activity Detection from RGBD Images
Being able to detect and recognize human activities is essential for sev...
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06/27/2011
Pose Estimation from a Single Depth Image for Arbitrary Kinematic Skeletons
We present a method for estimating pose information from a single depth ...
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06/23/2011
