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08/31/2023
Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception
Vehicle-to-everything (V2X) autonomous driving opens up a promising dire...
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08/08/2023
Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
Machine learning models are increasingly utilized across impactful domai...
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07/27/2023
Fair Machine Unlearning: Data Removal while Mitigating Disparities
As public consciousness regarding the collection and use of personal inf...
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07/25/2023
Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Chain-of-thought (CoT) prompting has been shown to empirically improve t...
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07/18/2023
Domain Adaptation based Enhanced Detection for Autonomous Driving in Foggy and Rainy Weather
Typically, object detection methods for autonomous driving that rely on ...
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07/16/2023
S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality
Due to the lack of real multi-agent data and time-consuming of labeling,...
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06/23/2023
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
Image restoration aims to reconstruct degraded images, e.g., denoising o...
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04/20/2023
HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative perception with vision transformer
Vehicle-to-Vehicle technologies have enabled autonomous vehicles to shar...
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04/04/2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Bird's eye view (BEV) perception is becoming increasingly important in t...
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03/14/2023
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
Modern perception systems of autonomous vehicles are known to be sensiti...
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02/08/2023
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten
The Right to Explanation and the Right to be Forgotten are two important...
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01/18/2023
The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research
Advances in Single-vehicle intelligence of automated driving have encoun...
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12/16/2022
Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication
Deep learning has been widely used in the perception (e.g., 3D object de...
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12/08/2022
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks
Establishing open and general benchmarks has been a critical driving for...
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11/29/2022
Analyzing Infrastructure LiDAR Placement with Realistic LiDAR
Recently, Vehicle-to-Everything(V2X) cooperative perception has attracte...
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11/24/2022
Automated Driving Systems Data Acquisition and Processing Platform
This paper presents an automated driving system (ADS) data acquisition a...
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11/13/2022
BTO-RRT: A rapid, optimal, smooth and point cloud-based path planning algorithm
This paper explores a rapid, optimal smooth path-planning algorithm for ...
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10/27/2022
Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather
Most object detection methods for autonomous driving usually assume a co...
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10/16/2022
Bridging the Domain Gap for Multi-Agent Perception
Existing multi-agent perception algorithms usually select to share deep ...
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09/27/2022
V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception
Recent advancements in Vehicle-to-Everything communication technology ha...
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08/31/2022
ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer
In order to get raw images of high quality for downstream Image Signal P...
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07/05/2022
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
Bird's eye view (BEV) semantic segmentation plays a crucial role in spat...
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05/04/2022
Pik-Fix: Restoring and Colorizing Old Photos
Restoring and inpainting the visual memories that are present, but often...
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03/24/2022
Model-Agnostic Multi-Agent Perception Framework
Existing multi-agent perception systems assume that every agent utilizes...
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02/05/2022
ROMNet: Renovate the Old Memories
Renovating the memories in old photos is an intriguing research topic in...
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01/23/2022
Partition-Based Active Learning for Graph Neural Networks
We study the problem of semi-supervised learning with Graph Neural Netwo...
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01/12/2022
Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks
In high-level Autonomous Driving (AD) systems, behavioral planning is in...
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12/31/2021
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling
Multinomial Logit (MNL) is one of the most popular discrete choice model...
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12/22/2021
How Much of the Chemical Space Has Been Explored? Selecting the Right Exploration Measure for Drug Discovery
Forming a molecular candidate set that contains a wide range of potentia...
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09/16/2021
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication
Employing Vehicle-to-Vehicle communication to enhance perception perform...
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07/13/2021
OpenCDA:An Open Cooperative Driving Automation Framework Integrated with Co-Simulation
Although Cooperative Driving Automation (CDA) has attracted considerable...
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06/29/2021
Subgroup Generalization and Fairness of Graph Neural Networks
Despite enormous successful applications of graph neural networks (GNNs)...
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06/21/2021
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
Graph neural networks (GNNs) have attracted increasing interests. With b...
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10/05/2020
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
Graph-structured data are ubiquitous. However, graphs encode diverse typ...
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08/19/2020
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
In this paper, we propose a flexible model for survival analysis using n...
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06/09/2020
Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access
We study the black-box attacks on graph neural networks (GNNs) under a n...
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11/11/2019
Graph Representation Learning via Multi-task Knowledge Distillation
Machine learning on graph structured data has attracted much research in...
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05/26/2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning
We consider a family of problems that are concerned about making predict...
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04/07/2019
Measuring Human Perception to Improve Handwritten Document Transcription
The subtleties of human perception, as measured by vision scientists thr...
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12/06/2017