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07/26/2023
Event-based Vision for Early Prediction of Manipulation Actions
Neuromorphic visual sensors are artificial retinas that output sequences...
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04/19/2023
Considerations for Minimizing Data Collection Biases for Eliciting Natural Behavior in Human-Robot Interaction
Many of us researchers take extra measures to control for known-unknowns...
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04/19/2023
hDesigner: Real-Time Haptic Feedback Pattern Designer
Haptic sensing can provide a new dimension to enhance people's musical a...
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04/06/2023
Therbligs in Action: Video Understanding through Motion Primitives
In this paper we introduce a rule-based, compositional, and hierarchical...
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01/01/2023
FEVA: Fast Event Video Annotation Tool
Video Annotation is a crucial process in computer science and social sci...
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10/03/2022
WorldGen: A Large Scale Generative Simulator
In the era of deep learning, data is the critical determining factor in ...
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05/31/2022
Gluing Neural Networks Symbolically Through Hyperdimensional Computing
Hyperdimensional Computing affords simple, yet powerful operations to cr...
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05/06/2022
EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms
A new event camera dataset, EVIMO2, is introduced that improves on the p...
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03/24/2022
AIMusicGuru: Music Assisted Human Pose Correction
Pose Estimation techniques rely on visual cues available through observa...
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03/21/2022
DiffPoseNet: Direct Differentiable Camera Pose Estimation
Current deep neural network approaches for camera pose estimation rely o...
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03/14/2022
Fast Active Monocular Distance Estimation from Time-to-Contact
Distance estimation is fundamental for a variety of robotic applications...
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03/14/2022
GradTac: Spatio-Temporal Gradient Based Tactile Sensing
Tactile sensing for robotics is achieved through a variety of mechanisms...
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09/22/2021
NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction
Recent advances in object segmentation have demonstrated that deep neura...
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06/29/2021
EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following
The rapid rise of accessibility of unmanned aerial vehicles or drones po...
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05/13/2021
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
Spiking Neural Networks (SNN) are the so-called third generation of neur...
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02/01/2021
Forecasting Action through Contact Representations from First Person Video
Human actions involving hand manipulations are structured according to t...
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11/05/2020
MorphEyes: Variable Baseline Stereo For Quadrotor Navigation
Morphable design and depth-based visual control are two upcoming trends ...
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11/02/2020
Grasping in the Dark: Compliant Grasping using Shadow Dexterous Hand and BioTac Tactile Sensor
When it comes to grasping and manipulating objects, the human hand is th...
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10/27/2020
Hybrid Backpropagation Parallel Reservoir Networks
In many real-world applications, fully-differentiable RNNs such as LSTMs...
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10/13/2020
Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
Deep Reservoir Computing has emerged as a new paradigm for deep learning...
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09/01/2020
A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP
The brain is known to be a highly complex, asynchronous dynamical system...
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06/11/2020
PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
Odometry on aerial robots has to be of low latency and high robustness w...
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06/11/2020
MOMS with Events: Multi-Object Motion Segmentation With Monocular Event Cameras
Segmentation of moving objects in dynamic scenes is a key process in sce...
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06/05/2020
Egocentric Object Manipulation Graphs
We introduce Egocentric Object Manipulation Graphs (Ego-OMG) - a novel r...
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01/25/2020
Following Instructions by Imagining and Reaching Visual Goals
While traditional methods for instruction-following typically assume pri...
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06/07/2019
EVDodge: Embodied AI For High-Speed Dodging On A Quadrotor Using Event Cameras
The human fascination to understand ultra-efficient agile flying beings ...
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05/28/2019
Network Deconvolution
Convolution is a central operation in Convolutional Neural Networks (CNN...
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03/19/2019
Computational Tactile Flow for Anthropomorphic Grippers
Grasping objects requires tight integration between visual and tactile f...
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03/18/2019
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras
We present the first event-based learning approach for motion segmentati...
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11/16/2018
Topology-Aware Non-Rigid Point Cloud Registration
In this paper, we introduce a non-rigid registration pipeline for pairs ...
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09/23/2018
Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data
In this work we present unsupervised learning of depth and motion from s...
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07/13/2018
Extracting Contact and Motion from Manipulation Videos
When we physically interact with our environment using our hands, we tou...
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07/08/2018
Real-time clustering and multi-target tracking using event-based sensors
Clustering is crucial for many computer vision applications such as robu...
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07/02/2018
Evenly Cascaded Convolutional Networks
In this paper we demonstrate that state-of-the-art convolutional neural ...
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07/01/2018
cilantro: a lean, versatile, and efficient library for point cloud data processing
We introduce cilantro, an open-source C++ library for geometric and gene...
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05/17/2018
Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients
Conventional image motion based structure from motion methods first comp...
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03/12/2018
Event-based Moving Object Detection and Tracking
Event-based vision sensors, such as the Dynamic Vision Sensor (DVS), are...
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02/28/2018
SalientDSO: Bringing Attention to Direct Sparse Odometry
Although cluttered indoor scenes have a lot of useful high-level semanti...
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02/14/2018
GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight
Although quadrotors, and aerial robots in general, are inherently active...
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08/02/2017
On the Importance of Consistency in Training Deep Neural Networks
We explain that the difficulties of training deep neural networks come f...
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11/14/2016
Fast Task-Specific Target Detection via Graph Based Constraints Representation and Checking
In this work, we present a fast target detection framework for real-worl...
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10/03/2016
Prediction of Manipulation Actions
Looking at a person's hands one often can tell what the person is going ...
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09/12/2016
Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers
We consider the problem of object recognition in 3D using an ensemble of...
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05/09/2016
LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning
LightNet is a lightweight, versatile and purely Matlab-based deep learni...
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01/29/2016
What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots
For robots that have the capability to interact with the physical enviro...
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01/18/2016
The Image Torque Operator for Contour Processing
Contours are salient features for image description, but the detection a...
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12/10/2015
Neural Self Talk: Image Understanding via Continuous Questioning and Answering
In this paper we consider the problem of continuously discovering image ...
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12/04/2015
Learning the Semantics of Manipulation Action
In this paper we present a formal computational framework for modeling m...
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11/10/2015