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09/18/2023
Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration
Despite significant improvements in robot capabilities, they are likely ...
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09/11/2023
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes
We introduce a novel approach for monocular novel view synthesis of dyna...
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08/11/2023
Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequence
Time-space diagrams are essential tools for analyzing traffic patterns a...
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08/03/2023
Diffusion-based Time Series Data Imputation for Microsoft 365
Reliability is extremely important for large-scale cloud systems like Mi...
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05/29/2023
TD-GEM: Text-Driven Garment Editing Mapper
Language-based fashion image editing allows users to try out variations ...
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04/04/2023
A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers
Handovers are basic yet sophisticated motor tasks performed seamlessly b...
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03/28/2023
User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks
Despite great advances in what robots can do, they still experience fail...
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03/28/2023
Data-driven Grip Force Variation in Robot-Human Handovers
Handovers frequently occur in our social environments, making it imperat...
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01/28/2023
On the Lipschitz Constant of Deep Networks and Double Descent
Existing bounds on the generalization error of deep networks assume some...
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09/21/2022
Deep Double Descent via Smooth Interpolation
Overparameterized deep networks are known to be able to perfectly fit th...
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08/19/2022
Dance Style Transfer with Cross-modal Transformer
We present CycleDance, a dance style transfer system to transform an exi...
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07/08/2022
On the Subspace Structure of Gradient-Based Meta-Learning
In this work we provide an analysis of the distribution of the post-adap...
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04/18/2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models
We present a data-efficient framework for solving sequential decision-ma...
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02/23/2022
Are All Linear Regions Created Equal?
The number of linear regions has been studied as a proxy of complexity f...
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05/20/2021
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series
Learning generative models and inferring latent trajectories have shown ...
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04/07/2021
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction
Data-driven approaches for modeling human skeletal motion have found var...
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03/16/2021
Combining Planning and Learning of Behavior Trees for Robotic Assembly
Industrial robots can solve very complex tasks in controlled environment...
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03/05/2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Reinforcement learning methods can achieve significant performance but r...
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07/26/2020
Data-efficient visuomotor policy training using reinforcement learning and generative models
We present a data-efficient framework for solving deep visuomotor sequen...
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07/02/2020
Human-centered collaborative robots with deep reinforcement learning
We present a reinforcement learning based framework for human-centered c...
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03/17/2020
Hyperplane Arrangements of Trained ConvNets Are Biased
We investigate the geometric properties of the functions learned by trai...
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10/14/2019
Imitating by generating: deep generative models for imitation of interactive tasks
To coordinate actions with an interaction partner requires a constant ex...
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09/17/2019
Adversarial Feature Training for Generalizable Robotic Visuomotor Control
Deep reinforcement learning (RL) has enabled training action-selection p...
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02/04/2019
Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality
In collaborative tasks, people rely both on verbal and non-verbal cues s...
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11/08/2018