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09/15/2023
Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM
Loop closing and relocalization are crucial techniques to establish reli...
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08/14/2023
UniWorld: Autonomous Driving Pre-training via World Models
In this paper, we draw inspiration from Alberto Elfes' pioneering work i...
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08/11/2023
Controlling Character Motions without Observable Driving Source
How to generate diverse, life-like, and unlimited long head/body sequenc...
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07/06/2023
Contrastive Label Disambiguation for Self-Supervised Terrain Traversability Learning in Off-Road Environments
Discriminating the traversability of terrains is a crucial task for auto...
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07/05/2023
Traversability Analysis for Autonomous Driving in Complex Environment: A LiDAR-based Terrain Modeling Approach
For autonomous driving, traversability analysis is one of the most basic...
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06/11/2023
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm
In this paper, we propose the first fully push-forward-based Distributio...
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05/30/2023
Occ-BEV: Multi-Camera Unified Pre-training via 3D Scene Reconstruction
Multi-camera 3D perception has emerged as a prominent research field in ...
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03/31/2023
RDMNet: Reliable Dense Matching Based Point Cloud Registration for Autonomous Driving
Point cloud registration is an important task in robotics and autonomous...
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11/13/2022
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization
Data augmentation has been widely used to improve generalization in trai...
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10/21/2022
When Wireless Hierarchical Federated Learning Meets Physical Layer Security: A Finite Blocklength Approach
In this paper, the wireless hierarchical federated learning (HFL) is rev...
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06/20/2022
ORFD: A Dataset and Benchmark for Off-Road Freespace Detection
Freespace detection is an essential component of autonomous driving tech...
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06/20/2022
Voxel-MAE: Masked Autoencoders for Pre-training Large-scale Point Clouds
Mask-based pre-training has achieved great success for self-supervised l...
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10/26/2021
Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task
Self-supervised learning (SSL) has achieved great success in a variety o...
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05/09/2021
Trajectory Prediction for Autonomous Driving with Topometric Map
State-of-the-art autonomous driving systems rely on high definition (HD)...
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04/06/2021
Attentional Graph Neural Network for Parking-slot Detection
Deep learning has recently demonstrated its promising performance for vi...
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10/25/2020
Further Analysis of Outlier Detection with Deep Generative Models
The recent, counter-intuitive discovery that deep generative models (DGM...
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07/29/2020
Feedback Capacities of Gaussian Multiple-Access Wiretap Channels
The feedback capacities of the Gaussian multiple-access channel (GMAC) a...
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05/06/2020
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds
3D moving object detection is one of the most critical tasks in dynamic ...
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12/23/2019
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
In narrow asymptotic settings Gaussian VAE models of continuous data hav...
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07/09/2019
Lidar-based Object Classification with Explicit Occlusion Modeling
LIDAR is one of the most important sensors for Unmanned Ground Vehicles ...
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03/14/2019
Diagnosing and Enhancing VAE Models
Although variational autoencoders (VAEs) represent a widely influential ...
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04/10/2018
Feedback Coding Schemes for the Broadcast Channel with Mutual Secrecy Requirement
Recently, the physical layer security (PLS) of the communication systems...
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02/28/2018
Compressing Neural Networks using the Variational Information Bottleneck
Neural networks can be compressed to reduce memory and computational req...
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12/13/2017
An Improved Feedback Coding Scheme for the Wire-tap Channel
Secure and reliable transmission over communication channels is first ch...
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12/04/2017
Design of Polar Codes with Single and Multi-Carrier Modulation on Impulsive Noise Channels using Density Evolution
In this paper, density evolution-based construction methods to design go...
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11/02/2017
