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06/28/2023
The LDBC Financial Benchmark
The Linked Data Benchmark Council's Financial Benchmark (LDBC FinBench) ...
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06/08/2023
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
Crystal property prediction is a crucial aspect of developing novel mate...
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11/16/2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Neural networks pre-trained on a self-supervision scheme have become the...
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09/22/2022
CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
Convolution-augmented transformers (Conformers) are recently proposed in...
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08/16/2022
Gradual Test-Time Adaptation by Self-Training and Style Transfer
Domain shifts at test-time are inevitable in practice. Test-time adaptat...
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08/12/2022
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer
In recent years, there has been tremendous progress in the field of sema...
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02/08/2022
GLPU: A Geometric Approach For Lidar Pointcloud Upsampling
In autonomous driving, lidar is inherent for the understanding of the 3D...
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01/09/2022
Fast solver for J2-perturbed Lambert problem using deep neural network
This paper presents a novel and fast solver for the J2-perturbed Lambert...
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09/29/2021
USIS: Unsupervised Semantic Image Synthesis
Semantic Image Synthesis (SIS) is a subclass of image-to-image translati...
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01/17/2021
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds
In the past few years we have seen great advances in 3D object detection...
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12/22/2020
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
In this paper we propose a novel deep neural network that is able to joi...
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08/17/2020
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
In this paper, we explore the use of vehicle-to-vehicle (V2V) communicat...
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07/28/2020
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
We tackle the problem of exploiting Radar for perception in the context ...
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06/23/2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
Post-hoc calibration is a common approach for providing high-quality con...
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06/16/2020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
We tackle the problem of producing realistic simulations of LiDAR point ...
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02/26/2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes
Graph convolutional neural networks (GCNs) have recently demonstrated pr...
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02/04/2019
Deep One-Class Classification Using Data Splitting
This paper introduces a generic method which enables to use conventional...
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06/17/2018
MedGAN: Medical Image Translation using GANs
Image-to-image translation is considered a next frontier in the field of...
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03/24/2018
Learning to Reweight Examples for Robust Deep Learning
Deep neural networks have been shown to be very powerful modeling tools ...
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12/01/2016
