Search Results for author: Yuan Tang

Found 14 papers, 14 papers with code

PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud by 2D Inpainting

1 code implementation22 Jun 2024 Qiao Yu, Xianzhi Li, Yuan Tang, Jinfeng Xu, Long Hu, Yixue Hao, Min Chen

Addressing this, we propose PointDreamer, a novel framework for textured mesh reconstruction from colored point cloud.

Image Inpainting

MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors

1 code implementation2 May 2024 Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Yixue Hao, Long Hu, Min Chen

Notably, MiniGPT-3D gains an 8. 12 increase on GPT-4 evaluation score for the challenging object captioning task compared to ShapeLLM-13B, while the latter costs 160 total GPU-hours on 8 A800.

3D Object Captioning Generative 3D Object Classification

Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model

1 code implementation23 Apr 2024 Xu Han, Yuan Tang, Zhaoxuan Wang, Xianzhi Li

In contrast, the newly proposed Mamba model, based on state space models (SSM), outperforms Transformer in multiple areas with only linear complexity.

Supervised Only 3D Point Cloud Classification

PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation

1 code implementation CVPR 2024 Jinfeng Xu, Siyuan Yang, Xianzhi Li, Yuan Tang, Yixue Hao, Long Hu, Min Chen

Existing point cloud semantic segmentation networks cannot identify unknown classes and update their knowledge, due to a closed-set and static perspective of the real world, which would induce the intelligent agent to make bad decisions.

Decoder Knowledge Distillation +2

Couler: Unified Machine Learning Workflow Optimization in Cloud

1 code implementation12 Mar 2024 Xiaoda Wang, Yuan Tang, Tengda Guo, Bo Sang, Jingji Wu, Jian Sha, Ke Zhang, Jiang Qian, Mingjie Tang

This variety poses a challenge for end-users in terms of mastering different engine APIs.

Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio Masking

1 code implementation IEEE Transactions on Multimedia 2023 Yuan Tang, Xianzhi Li, Jinfeng Xu, Qiao Yu, Long Hu, Yixue Hao, Min Chen

In our work, we present Point-LGMask, a novel method to embed both local and global contexts with multi-ratio masking, which is quite effective for self-supervised feature learning of point clouds but is unfortunately ignored by existing pre-training works.

3D Object Detection 3D Semantic Segmentation +3

CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion

2 code implementations24 Nov 2022 Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen

In our work, we present CasFusionNet, a novel cascaded network for point cloud semantic scene completion by dense feature fusion.

Segmentation Semantic Segmentation

A Scalable and Cloud-Native Hyperparameter Tuning System

1 code implementation3 Jun 2020 Johnu George, Ce Gao, Richard Liu, Hou Gang Liu, Yuan Tang, Ramdoot Pydipaty, Amit Kumar Saha

In this paper, we introduce Katib: a scalable, cloud-native, and production-ready hyperparameter tuning system that is agnostic of the underlying machine learning framework.

metric-learn: Metric Learning Algorithms in Python

6 code implementations13 Aug 2019 William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet

metric-learn is an open source Python package implementing supervised and weakly-supervised distance metric learning algorithms.

BIG-bench Machine Learning Metric Learning +1

Autoplotly - Automatic Generation of Interactive Visualizations for Popular Statistical Results

1 code implementation8 Mar 2018 Yuan Tang

The autoplotly package provides functionalities to automatically generate interactive visualizations for many popular statistical results supported by ggfortify package with plotly and ggplot2 style.

Computation Applications

lfda: An R Package for Local Fisher Discriminant Analysis and Visualization

1 code implementation11 Dec 2016 Yuan Tang, Wenxuan Li

Local Fisher discriminant analysis is a localized variant of Fisher discriminant analysis and it is popular for supervised dimensionality reduction method.

Applications

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