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06/17/2023
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents
In this paper, we focus on inferring whether the given user command is c...
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02/10/2023
Towards Text-based Human Search and Approach with an Intelligent Robot Dog
In this paper, we propose a SOCratic model for Robots Approaching humans...
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10/27/2022
Learning Joint Representation of Human Motion and Language
In this work, we present MoLang (a Motion-Language connecting model) for...
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09/19/2022
Active Visual Search in the Wild
In this paper, we focus on the problem of efficiently locating a target ...
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09/01/2022
FLAME: Free-form Language-based Motion Synthesis Editing
Text-based motion generation models are drawing a surge of interest for ...
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02/09/2022
Conditional Motion In-betweening
Motion in-betweening (MIB) is a process of generating intermediate skele...
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11/02/2021
Elucidating Noisy Data via Uncertainty-Aware Robust Learning
Robust learning methods aim to learn a clean target distribution from no...
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09/27/2021
Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation
In this paper, we present a semi-autonomous teleoperation framework for ...
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09/23/2021
Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving
In this paper, we consider the problem of autonomous driving using imita...
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09/16/2021
Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities
Designing or learning an autonomous driving policy is undoubtedly a chal...
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09/15/2021
Learning Robot Structure and Motion Embeddings using Graph Neural Networks
We propose a learning framework to find the representation of a robot's ...
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03/11/2021
Self-Supervised Motion Retargeting with Safety Guarantee
In this paper, we present self-supervised shared latent embedding (S3LE)...
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12/16/2020
Polyblur: Removing mild blur by polynomial reblurring
We present a highly efficient blind restoration method to remove mild bl...
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01/31/2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning
In this paper, we present a new class of Markov decision processes (MDPs...
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05/28/2018
Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration
In this paper, we propose the Interactive Text2Pickup (IT2P) network for...
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05/22/2018
Maximum Causal Tsallis Entropy Imitation Learning
In this paper, we propose a novel maximum causal Tsallis entropy (MCTE) ...
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05/16/2018
ChoiceNet: Robust Learning by Revealing Output Correlations
In this paper, we focus on the supervised learning problem with corrupte...
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02/16/2018
Fast, Trainable, Multiscale Denoising
Denoising is a fundamental imaging problem. Versatile but fast filtering...
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11/29/2017
BLADE: Filter Learning for General Purpose Computational Photography
The Rapid and Accurate Image Super Resolution (RAISR) method of Romano, ...
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09/19/2017
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning
In this paper, a sparse Markov decision process (MDP) with novel causal ...
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09/03/2017
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling
In this paper, we propose an uncertainty-aware learning from demonstrati...
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03/31/2017
Unsupervised Holistic Image Generation from Key Local Patches
We introduce a new problem of generating an image based on a small numbe...
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02/08/2016
