Name: Gordon Guocheng Qian 钱国成
Type: User
Company: @IVUL-KAUST
Bio: Ph.D. candidate@KAUST, B.Eng@XJTU. Interested in 3D vision and 3D Generation
Twitter: guocheng_qian
Location: Thuwal, Saudi Arabia
Blog: https://guochengqian.github.io/
Gordon Guocheng Qian 钱国成's Projects
[NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Paper list for anyone who are interested in self-supervised learning on 3D point cloud.
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Curvature Estimation code for the course project at CS272-Geometrci-Processing
OpenGL projects (course CS380 at KAUST)
learn c and cpp language
Pytorch Lightning code guideline for conferences
Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
Personal use simple handbook for deep learning
Solution to Homework/Project at EE354-Computer-Vision
Internal Resources for IVUL members
KAUST Handbook (in Chinese)
Kernel Point Convolution implemented in PyTorch
[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
This is the implementation of Noise2Void training.
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
PyTorch Implementation of DARTS: Differentiable Architecture Search
[CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
Best Practices on Recommendation Systems
SECOND for KITTI/NuScenes object detection