yanconglin

3D-mirror-symmetry-from-an-image

ComplexCNN

pytorch implementation of complex convolutional neural network

Conv2d_Pytorch_from_scratch

Implementing nn.Conv2d from scratch (in CUDA)

Dataset_Analysis

Deep-Hough-Transform-Line-Priors

Official implementation for Deep-Hough-Transform-Line-Priors (ECCV 2020)

deep_complex_networks

Implementation related to the Deep Complex Networks

ICP-Flow

Official implementation: ICP-Flow: LiDAR Scene Flow Estimation with ICP (CVPR 2024).

INSP

[NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wang

Semi-Supervised-Lane-Detection-with-Deep-Hough-Transform

Source code for paper "Semi-Supervised lane detection with Deep Hough Transform", ICIP2021

VanishingPoint_HoughTransform_GaussianSphere

Official implementation: Deep vanishing point detection: Geometric priors make dataset variations vanish, CVPR'22.

yanconglin/Deep-Hough-Transform-Line-Priors

Official implementation for Deep-Hough-Transform-Line-Priors (ECCV 2020)

yanconglin/VanishingPoint_HoughTransform_GaussianSphere

Official implementation: Deep vanishing point detection: Geometric priors make dataset variations vanish, CVPR'22.

yanconglin/ICP-Flow

Official implementation: ICP-Flow: LiDAR Scene Flow Estimation with ICP (CVPR 2024).

yanconglin/Semi-Supervised-Lane-Detection-with-Deep-Hough-Transform

Source code for paper "Semi-Supervised lane detection with Deep Hough Transform", ICIP2021

yanconglin/Conv2d_Pytorch_from_scratch

Implementing nn.Conv2d from scratch (in CUDA)

yanconglin/3D-mirror-symmetry-from-an-image

yanconglin/ComplexCNN

pytorch implementation of complex convolutional neural network

yanconglin/Dataset_Analysis

yanconglin/deep_complex_networks

Implementation related to the Deep Complex Networks

yanconglin/INSP

[NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wang

yanconglin/primitect

Code accompanying the paper "PrimiTect: Fast Continuous Hough Voting for Primitive Detection" by C. Sommer, Y. Sun, E. Bylow and D. Cremers.

yanconglin/Pytorch-Backprojection

This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019

yanconglin/visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

yanconglin/yanconglin.github.io

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