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11/28/2022
AI Enabled Maneuver Identification via the Maneuver Identification Challenge
Artificial intelligence (AI) has enormous potential to improve Air Force...
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11/15/2022
Coordination for Connected and Automated Vehicles at Non-signalized Intersections: A Value Decomposition-based Multiagent Deep Reinforcement Learning Approach
The recent proliferation of the research on multi-agent deep reinforceme...
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10/26/2022
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing
Autonomous drones can operate in remote and unstructured environments, e...
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10/19/2022
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences
Deep generative models have emerged as a popular machine learning-based ...
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08/16/2022
The least-used key selection method for information retrieval in large-scale Cloud-based service repositories
As the number of devices connected to the Internet of Things (IoT) incre...
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07/14/2022
Visuo-Tactile Manipulation Planning Using Reinforcement Learning with Affordance Representation
Robots are increasingly expected to manipulate objects in ever more unst...
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05/24/2022
TAILOR: Teaching with Active and Incremental Learning for Object Registration
When deploying a robot to a new task, one often has to train it to detec...
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03/31/2022
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow
Optical flow estimation aims to find the 2D motion field by identifying ...
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02/12/2022
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
We present an end-to-end Reinforcement Learning(RL) framework for roboti...
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12/19/2021
SAGA: Stochastic Whole-Body Grasping with Contact
Human grasping synthesis has numerous applications including AR/VR, vide...
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11/23/2021
Towards Learning Universal Audio Representations
The ability to learn universal audio representations that can solve dive...
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06/08/2021
Optimization of Service Addition in Multilevel Index Model for Edge Computing
With the development of Edge Computing and Artificial Intelligence (AI) ...
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05/28/2021
Discretization Drift in Two-Player Games
Gradient-based methods for two-player games produce rich dynamics that c...
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05/11/2021
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification
Convolutional neural networks (CNNs) have been applied to learn spatial ...
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02/20/2021
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory
Episodic and semantic memory are critical components of the human memory...
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01/17/2021
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution
This paper proposes a trilevel neural architecture search (NAS) method f...
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10/28/2020
Training Generative Adversarial Networks by Solving Ordinary Differential Equations
The instability of Generative Adversarial Network (GAN) training has fre...
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10/27/2020
Neural Architecture Search of SPD Manifold Networks
In this paper, we propose a new neural architecture search (NAS) problem...
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10/21/2020
Dense Dual-Path Network for Real-time Semantic Segmentation
Semantic segmentation has achieved remarkable results with high computat...
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07/31/2020
Neural Architecture Search as Sparse Supernet
This paper aims at enlarging the problem of Neural Architecture Search f...
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07/26/2020
Multi-UAV Coverage Path Planning for the Inspection of Large and Complex Structures
We present a multi-UAV Coverage Path Planning (CPP) framework for the in...
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02/06/2020
Product Kanerva Machines: Factorized Bayesian Memory
An ideal cognitively-inspired memory system would compress and organize ...
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12/02/2019
LOGAN: Latent Optimisation for Generative Adversarial Networks
Training generative adversarial networks requires balancing of delicate ...
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09/29/2019
Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network
Although complex-valued (CV) neural networks have shown better classific...
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09/24/2019
6D Pose Estimation with Correlation Fusion
6D object pose estimation is widely applied in robotic tasks such as gra...
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09/17/2019
Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN
Real-time multi-target path planning is a key issue in the field of auto...
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09/10/2019
U-net super-neural segmentation and similarity calculation to realize vegetation change assessment in satellite imagery
Vegetation is the natural linkage connecting soil, atmosphere and water....
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06/21/2019
Shaping Belief States with Generative Environment Models for RL
When agents interact with a complex environment, they must form and main...
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05/16/2019
Deep Compressed Sensing
Compressed sensing (CS) provides an elegant framework for recovering spa...
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11/23/2018
Learning Attractor Dynamics for Generative Memory
A central challenge faced by memory systems is the robust retrieval of a...
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10/15/2018
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Humans spend a remarkable fraction of waking life engaged in acts of "me...
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06/11/2018
DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block
For the self-driving and automatic parking, perception is the basic and ...
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04/19/2018
VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View
The automatic parking is being massively developed by car manufacturers ...
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04/17/2018
TiEV: The Tongji Intelligent Electric Vehicle in the Intelligent Vehicle Future Challenge of China
TiEV is an autonomous driving platform implemented by Tongji University ...
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04/05/2018
The Kanerva Machine: A Generative Distributed Memory
We present an end-to-end trained memory system that quickly adapts to ne...
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01/04/2018