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02/21/2023
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention
This paper presents an effective few-shot point cloud semantic segmentat...
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10/07/2022
Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering
We present a neural point cloud rendering pipeline through a novel multi...
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07/04/2022
Masked Self-Supervision for Remaining Useful Lifetime Prediction in Machine Tools
Prediction of Remaining Useful Lifetime(RUL) in the modern manufacturing...
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07/04/2022
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning
3D part segmentation is an essential step in advanced CAM/CAD workflow. ...
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03/19/2022
Incremental Few-Shot Learning via Implanting and Compressing
This work focuses on tackling the challenging but realistic visual task ...
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09/23/2021
Towards Generalized and Incremental Few-Shot Object Detection
Real-world object detection is highly desired to be equipped with the le...
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08/20/2020
Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation
Data-efficient domain adaptation with only a few labelled data is desire...
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07/06/2020
Data-Driven Multi-Objective Controller Optimization for a Magnetically-Levitated Nanopositioning System
The performance achieved with traditional model-based control system des...
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05/06/2020