jia-wan

Pinned Repositories

bvem
Official code for TriSAM
00
Fine-Grained-Counting
Language:Python12 1 23
GeneralizedLoss-Counting-Pytorch
official implementation of the CVPR21 paper "A Generalized Loss Function for Crowd Counting and Localization"
Language:Python28 2 77
jia-wan.github.io
Language:HTML1 1 10
KDMG_Counting
Kernel-based Density Map Generation for Dense Object Counting
Language:Python25 2 36
mdgan
official code of CVPR'18 paper "learning to generate time-lapse videos using multi-stage dynamic generative adversarial networks"
Language:Python0 0 00
NoisyCC-pytorch
Language:Python8 1 01
pytorch-MNIST-CelebA-cGAN-cDCGAN
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Language:Python00
ResidualRegression-pytorch
Residual Regression with Semantic Prior for Crowd Counting
Language:Python16 2 25
BvEM-challenge
Evaluation code for BvEM challenge
Language:Jupyter Notebook00

jia-wan's Repositories

jia-wan/GeneralizedLoss-Counting-Pytorch
official implementation of the CVPR21 paper "A Generalized Loss Function for Crowd Counting and Localization"
Language:Python28 2 77
jia-wan/KDMG_Counting
Kernel-based Density Map Generation for Dense Object Counting
Language:Python25 2 36
jia-wan/ResidualRegression-pytorch
Residual Regression with Semantic Prior for Crowd Counting
Language:Python16 2 25
jia-wan/Fine-Grained-Counting
Language:Python12 1 23
jia-wan/NoisyCC-pytorch
Language:Python8 1 01
jia-wan/jia-wan.github.io
Language:HTML1 1 10
jia-wan/bvem
Official code for TriSAM
00
jia-wan/mdgan
official code of CVPR'18 paper "learning to generate time-lapse videos using multi-stage dynamic generative adversarial networks"
Language:Python0 0 00
jia-wan/pytorch-MNIST-CelebA-cGAN-cDCGAN
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Language:Python00