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06/16/2023
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos
Recognizing the activities, causing distraction, in real-world driving s...
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04/01/2023
SVT: Supertoken Video Transformer for Efficient Video Understanding
Whether by processing videos with fixed resolution from start to end or ...
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03/15/2023
EgoViT: Pyramid Video Transformer for Egocentric Action Recognition
Capturing interaction of hands with objects is important to autonomously...
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09/12/2022
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning
Federated learning has attracted growing interest as it preserves the cl...
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12/08/2021
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing
We address the problem of sequentially selecting and observing processes...
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11/18/2021
RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation
3D object detection from LiDAR data for autonomous driving has been maki...
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11/14/2021
Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation
With the proliferation of Lidar sensors and 3D vision cameras, 3D point ...
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05/12/2021
Anomaly Detection via Controlled Sensing and Deep Active Inference
In this paper, we address the anomaly detection problem where the object...
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05/12/2021
Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control
Deep reinforcement learning (DRL) has recently been used to perform effi...
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11/28/2020
Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans
Alzheimer's disease is one of the diseases that mostly affects older peo...
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09/28/2020
Anomaly Detection and Sampling Cost Control via Hierarchical GANs
Anomaly detection incurs certain sampling and sensing costs and therefor...
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07/12/2020
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning
As the applications of deep reinforcement learning (DRL) in wireless com...
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11/22/2019
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Neural networks are known to be vulnerable to carefully crafted adversar...
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08/28/2019
Deep Actor-Critic Reinforcement Learning for Anomaly Detection
Anomaly detection is widely applied in a variety of domains, involving f...
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08/20/2019
A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access
To make efficient use of limited spectral resources, we in this work pro...
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05/28/2019
Autonomous Human Activity Classification from Ego-vision Camera and Accelerometer Data
There has been significant amount of research work on human activity cla...
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05/13/2019
Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks
The growing demand on high-quality and low-latency multimedia services h...
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05/08/2019
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction
Neural networks are known to be vulnerable to carefully crafted adversar...
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03/31/2019
Power Control for Wireless VBR Video Streaming: From Optimization to Reinforcement Learning
In this paper, we investigate the problem of power control for streaming...
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10/16/2018
Deep Learning Based Power Control for Quality-Driven Wireless Video Transmissions
In this paper, wireless video transmission to multiple users under total...
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10/08/2018
Actor-Critic Deep Reinforcement Learning for Dynamic Multichannel Access
We consider the dynamic multichannel access problem, which can be formul...
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09/26/2018
Learning-Based Delay-Aware Caching in Wireless D2D Caching Networks
Recently, wireless caching techniques have been studied to satisfy lower...
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09/24/2018
Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm
The choice of parameters, and the design of the network architecture are...
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05/24/2018
Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks
The choice of parameters, and the design of the network architecture are...
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02/14/2018
Power Control and Mode Selection for VBR Video Streaming in D2D Networks
In this paper, we investigate the problem of power control for streaming...
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12/21/2017
A Deep Reinforcement Learning-Based Framework for Content Caching
Content caching at the edge nodes is a promising technique to reduce the...
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10/19/2015