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01/26/2023
Self-Supervised RGB-T Tracking with Cross-Input Consistency
In this paper, we propose a self-supervised RGB-T tracking method. Diffe...
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06/22/2022
On Specifying for Trustworthiness
As autonomous systems are becoming part of our daily lives, ensuring the...
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03/22/2022
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real
Autonomous Driving requires high levels of coordination and collaboratio...
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10/06/2021
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision
Automatically detecting graspable regions from a single depth image is a...
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04/27/2021
Quantitative Risk Indices for Autonomous Vehicle Training Systems
The development of Autonomous Vehicles (AV) presents an opportunity to s...
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01/23/2021
Disentangled Sequence Clustering for Human Intention Inference
Equipping robots with the ability to infer human intent is a vital preco...
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05/27/2020
D2D: Keypoint Extraction with Describe to Detect Approach
In this paper, we present a novel approach that exploits the information...
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02/20/2020
Support-weighted Adversarial Imitation Learning
Adversarial Imitation Learning (AIL) is a broad family of imitation lear...
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02/20/2020
A Structured Prediction Approach for Conditional Meta-Learning
Optimization-based meta-learning algorithms are a powerful class of meth...
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10/09/2019
Multimodal representation models for prediction and control from partial information
Similar to humans, robots benefit from interacting with their environmen...
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08/12/2019
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
This paper proposes a new high dimensional regression method by merging ...
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05/16/2019
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation
We consider the problem of imitation learning from a finite set of exper...
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10/07/2018
Real-Time Workload Classification during Driving using HyperNetworks
Classifying human cognitive states from behavioral and physiological sig...
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04/19/2018
Hierarchical Behavioral Repertoires with Unsupervised Descriptors
Enabling artificial agents to automatically learn complex, versatile and...
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03/28/2018
Context-aware Deep Feature Compression for High-speed Visual Tracking
We propose a new context-aware correlation filter based tracking framewo...
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06/12/2017
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
This paper introduces a cognitive architecture for a humanoid robot to e...
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05/12/2017
Quality and Diversity Optimization: A Unifying Modular Framework
The optimization of functions to find the best solution according to one...
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04/12/2017
MAGAN: Margin Adaptation for Generative Adversarial Networks
We propose the Margin Adaptation for Generative Adversarial Networks (MA...
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10/15/2012