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06/12/2023
Slot-VAE: Object-Centric Scene Generation with Slot Attention
Slot attention has shown remarkable object-centric representation learni...
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05/30/2023
Investigating model performance in language identification: beyond simple error statistics
Language development experts need tools that can automatically identify ...
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04/08/2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors
Uncovering data generative factors is the ultimate goal of disentangleme...
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02/23/2023
On the Simulation of Perception Errors in Autonomous Vehicles
Even though virtual testing of Autonomous Vehicles (AVs) has been well r...
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11/21/2022
CoPEM: Cooperative Perception Error Models for Autonomous Driving
In this paper, we introduce the notion of Cooperative Perception Error M...
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09/13/2022
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
We propose a manager-worker framework based on deep reinforcement learni...
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03/07/2022
Enhance Language Identification using Dual-mode Model with Knowledge Distillation
In this paper, we propose to employ a dual-mode framework on the x-vecto...
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07/12/2021
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery
State-of-the-art image denoisers exploit various types of deep neural ne...
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09/16/2020
Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models
Estimating time-varying graphical models are of paramount importance in ...
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08/31/2020
Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport
As Public Transport (PT) becomes more dynamic and demand-responsive, it ...
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01/31/2020
Modeling Sensing and Perception Errors towards Robust Decision Making in Autonomous Vehicles
Sensing and Perception (S P) is a crucial component of an autonomous s...
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11/09/2019
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling
Conditional Random Fields (CRF) are frequently applied for labeling and ...
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07/06/2019
Affine Disentangled GAN for Interpretable and Robust AV Perception
Autonomous vehicles (AV) have progressed rapidly with the advancements i...
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02/26/2019
Online Framework for Demand-Responsive Stochastic Route Optimization
This study develops an online predictive optimization framework for oper...
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07/23/2018
Actor-Action Semantic Segmentation with Region Masks
In this paper, we study the actor-action semantic segmentation problem, ...
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06/29/2018
Multi-atomic Annealing Heuristic for Static Dial-a-ride Problem
Dial-a-ride problem (DARP) deals with the transportation of users betwee...
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01/25/2018
An Improved Tabu Search Heuristic for Static Dial-A-Ride Problem
Multi-vehicle routing has become increasingly important with the rapid d...
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01/25/2018
An Improved Tabu Search Heuristics for Static Dial-A-Ride Problem
Multi-vehicle routing has become increasingly important with the rapid d...
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01/25/2018
Improved Tabu Search Heuristics for Static Dial-A-Ride Problem: Faster and Better Convergence
Multi-vehicle routing has become increasingly important with the rapid d...
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11/16/2017