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08/29/2023
DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction
In recent years, the neural implicit surface has emerged as a powerful r...
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11/07/2021
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
We consider a new problem of adapting a human mesh reconstruction model ...
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05/26/2021
PyTouch: A Machine Learning Library for Touch Processing
With the increased availability of rich tactile sensors, there is an equ...
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03/30/2021
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
This paper considers a new problem of adapting a pre-trained model of hu...
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03/23/2021
Joint Distribution across Representation Space for Out-of-Distribution Detection
Deep neural networks (DNNs) have become a key part of many modern softwa...
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12/04/2020
Towards Good Practices of U-Net for Traffic Forecasting
This technical report presents a solution for the 2020 Traffic4Cast Chal...
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07/03/2020
Video Prediction via Example Guidance
In video prediction tasks, one major challenge is to capture the multi-m...
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06/24/2020
Malignancy-Aware Follow-Up Volume Prediction for Lung Nodules
Follow-up serves an important role in the management of pulmonary nodule...
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05/05/2020
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
This paper addresses a fundamental challenge in 3D medical image process...
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11/24/2019
Reinventing 2D Convolutions for 3D Medical Images
There has been considerable debate over 2D and 3D representation learnin...
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10/06/2019
Operational Calibration: Debugging Confidence Errors for DNNs in the Field
Trained DNN models are increasingly adopted as integral parts of softwar...
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06/06/2019
Boosting Operational DNN Testing Efficiency through Conditioning
With the increasing adoption of Deep Neural Network (DNN) models as inte...
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07/04/2017
Skeleton-aided Articulated Motion Generation
This work make the first attempt to generate articulated human motion se...
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06/01/2017
