XiwuChen
A Master student in computer science at HUST.
Huazhong University of Science and TechnologyBeijing, China
XiwuChen's Stars
conradry/copy-paste-aug
Copy-paste augmentation for segmentation and detection tasks
d-li14/involution
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
zju3dv/neuralbody
Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate
CVMI-Lab/ST3D
(CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
THU-DA-6D-Pose-Group/Self6D-Diff-Renderer
The differentiable rendering code for "Self6D: Self-Supervised Monocular 6D Object Pose Estimation (ECCV 2020, oral)"
whai362/PVT
Official implementation of PVT series
autonomousvision/differentiable_volumetric_rendering
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
dk-liang/AutoScale_regression
An implementation of AutoScale regression-based method
jiaxi-wu/MPSR
Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020
piddnad/few-shot-object-detection-papers
📄 A paper list of Few-shot Object Detection.
weihaox/awesome-neural-rendering
Resources of Neural Rendering
PeizeSun/SparseR-CNN
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
maudzung/SFA3D
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
wvangansbeke/Sparse-Depth-Completion
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [2019]
ayumiymk/aster.pytorch
ASTER in Pytorch
adobe/antialiased-cnns
pip install antialiased-cnns to improve stability and accuracy
zdaxie/SpatiallyAdaptiveInference-Detection
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation, ECCV 2020 Oral
Anniepoo/prolog-examples
Some simple examples for new Prolog programmers
mileyan/Pseudo_Lidar_V2
(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
xinzhuma/patchnet
Code release for "Rethinking Pseudo-LiDAR Representation (ECCV2020)".
dbolya/tide
A General Toolbox for Identifying Object Detection Errors
Duankaiwen/CPNDet
Corner Proposal Network for Anchor-free, Two-stage Object Detection
maudzung/RTM3D
Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)
ucbdrive/few-shot-object-detection
Implementations of few-shot object detection benchmarks
garrickbrazil/M3D-RPN
dingmyu/D4LCN
A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection" CVPR 2020
huoyijie/AdvancedEAST
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car
hlesmqh/WS3D
Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
NUAAXQ/awesome-point-cloud-analysis-2023
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
open-mmlab/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.