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07/26/2023
METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
Autonomous navigation in off-road conditions requires an accurate estima...
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06/26/2023
Safe Navigation in Unstructured Environments by Minimizing Uncertainty in Control and Perception
Uncertainty in control and perception poses challenges for autonomous ve...
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06/20/2023
Augmenting Sub-model to Improve Main Model
Image classification has improved with the development of training techn...
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05/20/2023
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics
In recent years, learning-based control in robotics has gained significa...
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05/01/2023
Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving With Model Predictive Path Integral Control
High-speed autonomous driving in off-road environments has immense poten...
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04/11/2023
Panoramic Image-to-Image Translation
In this paper, we tackle the challenging task of Panoramic Image-to-Imag...
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02/03/2023
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
Multi-resolution hash encoding has recently been proposed to reduce the ...
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11/21/2022
Uncertainty Reduction for 3D Point Cloud Self-Supervised Traversability Estimation
Traversability estimation in off-road environments requires a robust per...
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09/14/2022
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
For the safe and successful navigation of autonomous vehicles in unstruc...
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07/16/2022
Physics Embedded Neural Network Vehicle Model and Applications in Risk-Aware Autonomous Driving Using Latent Features
Non-holonomic vehicle motion has been studied extensively using physics-...
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01/20/2022
TOAST: Trajectory Optimization and Simultaneous Tracking using Shared Neural Network Dynamics
Neural networks have been increasingly employed in Model Predictive Cont...
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12/18/2021
Derivative Action Control: Smooth Model Predictive Path Integral Control without Smoothing
Here, we present a new approach to generate smooth control sequences in ...
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11/08/2021
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation
Photometric consistency loss is one of the representative objective func...
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03/04/2021
Real-Time Navigation System for a Low-Cost Mobile Robot with an RGB-D Camera
Currently, mobile robots are developing rapidly and are finding numerous...
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11/30/2020
Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Although supervised person re-identification (Re-ID) methods have shown ...
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07/18/2020
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
Although unsupervised domain adaptation methods have been widely adopted...
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12/03/2019
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is an important task...
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10/02/2019
CNN-based Semantic Segmentation using Level Set Loss
Thesedays, Convolutional Neural Networks are widely used in semantic seg...
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09/29/2019
Learning to Align Multi-Camera Domain for Unsupervised Video Person Re-Identification
Most video person re-identification (re-ID) methods are mainly based on ...
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09/29/2019
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation
In this paper, we introduce a self-supervised approach for video object ...
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09/02/2019
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
Deep learning-based object detectors have shown remarkable improvements....
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09/02/2019
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
Deep learning-based semantic segmentation methods have an intrinsic limi...
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08/01/2019
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
To learn target discriminative representations, using pseudo-labels is a...
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05/14/2019
