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09/19/2023
Rethinking Imitation-based Planner for Autonomous Driving
In recent years, imitation-based driving planners have reported consider...
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08/19/2023
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
Weakly-supervised action localization aims to recognize and localize act...
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08/19/2023
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
This study explores the application of self-supervised learning (SSL) to...
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07/24/2023
Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons
Event-based sensors, with their high temporal resolution (1us) and dynam...
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03/21/2023
E-MLB: Multilevel Benchmark for Event-Based Camera Denoising
Event cameras, such as dynamic vision sensors (DVS), are biologically in...
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03/02/2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
Fully test-time adaptation aims to adapt the network model based on sequ...
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09/19/2022
Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model
Safely interacting with other traffic participants is one of the core re...
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04/26/2022
Time Series Prediction by Multi-task GPR with Spatiotemporal Information Transformation
Making an accurate prediction of an unknown system only from a short-ter...
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07/19/2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning is to recognize the new classes give...
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04/05/2021
GSECnet: Ground Segmentation of Point Clouds for Edge Computing
Ground segmentation of point clouds remains challenging because of the s...
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04/16/2020
Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak
Since December 2019, the coronavirus disease 2019 (COVID-19) has spread ...
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07/03/2015
LogDet Rank Minimization with Application to Subspace Clustering
Low-rank matrix is desired in many machine learning and computer vision ...
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04/09/2013
High-dimensional Mixed Graphical Models
While graphical models for continuous data (Gaussian graphical models) a...
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01/23/2013
Comparing Bayesian Network Classifiers
In this paper, we empirically evaluate algorithms for learning four type...
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09/27/2012