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07/24/2022
Semi-supervised Deep Multi-view Stereo
Significant progress has been witnessed in learning-based Multi-view Ste...
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02/21/2022
Rethinking the Zigzag Flattening for Image Reading
Sequence ordering of word vector matters a lot to text reading, which ha...
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01/20/2022
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning
Self-supervised learning has not been fully explored for point cloud ana...
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11/27/2021
Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports
The stochastic differential equation (SDE)-based random process models o...
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09/15/2021
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos
Graph Convolution Network (GCN) has been successfully used for 3D human ...
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08/30/2021
Digging into Uncertainty in Self-supervised Multi-view Stereo
Self-supervised Multi-view stereo (MVS) with a pretext task of image rec...
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05/21/2021
An Efficient Training Approach for Very Large Scale Face Recognition
Face recognition has achieved significant progress in deep-learning era ...
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05/01/2021
When to Fold'em: How to answer Unanswerable questions
We present 3 different question-answering models trained on the SQuAD2.0...
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04/12/2021
Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation
Recent studies have witnessed that self-supervised methods based on view...
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04/10/2021
Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing
Neural networks, with the capability to provide efficient predictive mod...
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03/18/2021
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
This paper investigates the indistinguishable points (difficult to predi...
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03/16/2021
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
The end-to-end Human Mesh Recovery (HMR) approach has been successfully ...
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03/03/2021
Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee
This paper presents a deep reinforcement learning (DRL) algorithm for or...
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12/20/2020
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
In 2D image processing, some attempts decompose images into high and low...
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06/25/2020
SmallBigNet: Integrating Core and Contextual Views for Video Classification
Temporal convolution has been widely used for video classification. Howe...
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12/23/2019
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
In spite of the recent progresses on classifying 3D point cloud with dee...
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07/18/2019
A Strong Feature Representation for Siamese Network Tracker
Object tracking has important application in assistive technologies for ...
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03/08/2018