Search Results for author: Xinke Li

Found 9 papers, 5 papers with code

Pyramid Diffusion for Fine 3D Large Scene Generation

1 code implementation20 Nov 2023 Yuheng Liu, Xinke Li, Xueting Li, Lu Qi, Chongshou Li, Ming-Hsuan Yang

Directly transferring the 2D techniques to 3D scene generation is challenging due to significant resolution reduction and the scarcity of comprehensive real-world 3D scene datasets.

Scene Generation

Gradient-based adaptive wavelet de-noising method for photoacoustic imaging in vivo

no code implementations25 Jul 2023 Xinke Li, Peng Ge, Yuting Shen, Feng Gao, Fei Gao

The proposed de-noising method provides potential to improve the SNR of PA signal under single-shot low-power laser illumination for biomedical applications in vivo.


Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification

1 code implementation20 Jul 2023 Xinke Li, Junchi Lu, Henghui Ding, Changsheng Sun, Joey Tianyi Zhou, Chee Yeow Meng

With the growth of 3D sensing technology, deep learning system for 3D point clouds has become increasingly important, especially in applications like autonomous vehicles where safety is a primary concern.

3D Point Cloud Classification Autonomous Vehicles +4

Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives

no code implementations CVPR 2022 Xinke Li, Henghui Ding, Zekun Tong, Yuwei Wu, Yeow Meng Chee

Further study suggests that our strategy can improve the model performance by pretraining and fine-tuning scheme, especially for the dataset with a small scale.

3D Object Classification Multi-Task Learning +1

Directed Graph Contrastive Learning

1 code implementation NeurIPS 2021 Zekun Tong, Yuxuan Liang, Henghui Ding, Yongxing Dai, Xinke Li, Changhu Wang

However, it is still in its infancy with two concerns: 1) changing the graph structure through data augmentation to generate contrastive views may mislead the message passing scheme, as such graph changing action deprives the intrinsic graph structural information, especially the directional structure in directed graphs; 2) since GCL usually uses predefined contrastive views with hand-picking parameters, it does not take full advantage of the contrastive information provided by data augmentation, resulting in incomplete structure information for models learning.

Contrastive Learning Data Augmentation

PointBA: Towards Backdoor Attacks in 3D Point Cloud

no code implementations ICCV 2021 Xinke Li, Zhirui Chen, Yue Zhao, Zekun Tong, Yabang Zhao, Andrew Lim, Joey Tianyi Zhou

We present the backdoor attacks in 3D point cloud with a unified framework that exploits the unique properties of 3D data and networks.

Backdoor Attack Disentanglement

Integrated Age Estimation Mechanism

no code implementations11 Mar 2021 Fan Li, Yongming Li, Pin Wang, Jie Xiao, Fang Yan, Xinke Li

Traditional age estimation mechanism focuses estimation age error, but ignores that there is a deviation between the estimated age and real age due to disease.

Age Estimation

Digraph Inception Convolutional Networks

1 code implementation NeurIPS 2020 Zekun Tong, Yuxuan Liang, Changsheng Sun, Xinke Li, David Rosenblum, Andrew Lim

Graph Convolutional Networks (GCNs) have shown promising results in modeling graph-structured data.

Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene

1 code implementation11 Aug 2020 Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang

Based on it, we formulate a hierarchical learning problem for 3D point cloud segmentation and propose a measurement evaluating consistency across various hierarchies.

Instance Segmentation Point Cloud Segmentation +3

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