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09/07/2023
Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping
The contact-free sensing nature of Wi-Fi has been leveraged to achieve p...
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09/01/2023
MIMOCrypt: Multi-User Privacy-Preserving Wi-Fi Sensing via MIMO Encryption
Wi-Fi signals may help realize low-cost and non-invasive human sensing, ...
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08/20/2023
MUSE-Fi: Contactless MUti-person SEnsing Exploiting Near-field Wi-Fi Channel Variation
Having been studied for more than a decade, Wi-Fi human sensing still fa...
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08/20/2023
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
Hand Pose Estimation (HPE) is crucial to many applications, but conventi...
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03/06/2023
HiGeN: Hierarchical Multi-Resolution Graph Generative Networks
In real world domains, most graphs naturally exhibit a hierarchical stru...
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02/17/2023
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving
Object detection with on-board sensors (e.g., lidar, radar, and camera) ...
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02/02/2023
Human not in the loop: objective sample difficulty measures for Curriculum Learning
Curriculum learning is a learning method that trains models in a meaning...
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12/06/2022
Variable-Decision Frequency Option Critic
In classic reinforcement learning algorithms, agents make decisions at d...
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11/27/2022
Label Alignment Regularization for Distribution Shift
Recent work reported the label alignment property in a supervised learni...
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11/14/2022
NeurIPS 2022 Competition: Driving SMARTS
Driving SMARTS is a regular competition designed to tackle problems caus...
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11/13/2022
Build generally reusable agent-environment interaction models
This paper tackles the problem of how to pre-train a model and make it g...
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10/25/2022
Auxiliary task discovery through generate-and-test
In this paper, we explore an approach to auxiliary task discovery in rei...
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05/22/2022
Memory-efficient Reinforcement Learning with Knowledge Consolidation
Artificial neural networks are promising as general function approximato...
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04/25/2022
Reinforcement Teaching
We propose Reinforcement Teaching: a framework for meta-learning in whic...
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04/01/2022
What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy
Auxiliary tasks have been argued to be useful for representation learnin...
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03/03/2022
LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction
Multi-agent trajectory prediction is a fundamental problem in autonomous...
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12/01/2021
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation
Whereas adversarial training can be useful against specific adversarial ...
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11/16/2021
MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar
Crucial for healthcare and biomedical applications, respiration monitori...
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10/28/2021
Enhancing RF Sensing with Deep Learning: A Layered Approach
In recent years, radio frequency (RF) sensing has gained increasing popu...
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10/28/2021
V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing
Given the significant amount of time people spend in vehicles, health is...
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10/27/2021
RF-Based Human Activity Recognition Using Signal Adapted Convolutional Neural Network
Human Activity Recognition (HAR) plays a critical role in a wide range o...
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10/27/2021
SiWa: See into Walls via Deep UWB Radar
Being able to see into walls is crucial for diagnostics of building heal...
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10/21/2021
Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis
Mammography is used as a standard screening procedure for the potential ...
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10/20/2021
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
Elbow fracture diagnosis often requires patients to take both frontal an...
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10/20/2021
Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images
Elbow fractures are one of the most common fracture types. Diagnoses on ...
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10/15/2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
The goal of conventional federated learning (FL) is to train a global mo...
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10/15/2021
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification
Machine learning in medical research, by nature, needs careful attention...
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10/01/2021
Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning
Competent multi-lane cruising requires using lane changes and within-lan...
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06/01/2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
Extending transfer learning to cooperative multi-agent reinforcement lea...
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05/20/2021
Probing the Effect of Selection Bias on NN Generalization with a Thought Experiment
Learned networks in the domain of visual recognition and cognition impre...
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04/15/2021
PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition
Recently, passive behavioral biometrics (e.g., gesture or footstep) have...
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03/01/2021
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map
While supervised learning is widely used for perception modules in conve...
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02/27/2021
Open-set Intersection Intention Prediction for Autonomous Driving
Intention prediction is a crucial task for Autonomous Driving (AD). Due ...
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01/07/2021
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
Despite the recent successes of reinforcement learning in games and robo...
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12/25/2020
Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning
In autonomous driving (AD), accurately predicting changes in the environ...
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12/14/2020
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D
Predicting the behavior of road users, particularly pedestrians, is vita...
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12/06/2020
Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling
Pedestrian behavior prediction is one of the major challenges for intell...
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12/03/2020
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction
One of the most crucial yet challenging tasks for autonomous vehicles in...
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11/16/2020
Multi-Modal Hybrid Architecture for Pedestrian Action Prediction
Pedestrian behavior prediction is one of the major challenges for intell...
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08/01/2020
Review on Ranking and Selection: A New Perspective
In this paper, we briefly review the development of ranking-and-selectio...
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05/06/2020
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder
Whereas adversarial training is employed as the main defence strategy ag...
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07/11/2019
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle
Many real-world human behaviors can be characterized as a sequential dec...
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06/14/2019
Eclipse: Generalizing kNN and Skyline
k nearest neighbor (kNN) queries and skyline queries are important opera...
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04/11/2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
While several convolution-like operators have recently been proposed for...
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12/04/2018
Skyline Diagram: Efficient Space Partitioning for Skyline Queries
Skyline queries are important in many application domains. In this paper...
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07/23/2018
A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing (Online report)
Mobile crowdsensing has shown a great potential to address large-scale d...
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07/23/2018
A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing
Mobile crowdsensing has shown a great potential to address large-scale d...
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07/14/2018
A Novel Method for Extrinsic Calibration of Multiple RGB-D Cameras Using Descriptor-Based Patterns
This letter presents a novel method to estimate the relative poses betwe...
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07/14/2018
Extrinsic Calibration of Multiple RGB-D Cameras Based on Descriptor-based Patterns
This letter presents a novel method to estimate the relative poses betwe...
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07/14/2018