Wanggcong

Expert
@Wanggcong

Spatial-Temporal-Re-identification. [AAAI 2019] Spatial Temporal Re-identification

395

SparseNeRF. [ICCV 2023] SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis

292

StyleLight. [ECCV 2022] StyleLight: HDR Panorama Generation for Lighting Estimation and Editing

149

FreeNeRF_plus_SparseNeRF. [ICCV 2023 exp] Integrate our SparseNeRF into FreeNeRF

39

RLD_codes. Python

16

EM. EM algorithm

8

SolutionSimilarityLearning. Python

7

Deep-growing-learning. If you use these codes, please kindly cite our ICCV2017 paper: \bibitem{WangICCV2017} G.~Wang, X.~Xie, J.~Lai and J.~Zhuo, ``Deep Growing Learning," in ICCV, pp.2812-2820, 2017.

7

Statistical-Analysis-Method-. Statistical Analysis Method,

4

reid-triplet-baseline. market top1: 85%

4

Wanggcong.github.io. Home page of Guangcong Wang

4

reID-baseline. Modified by https://github.com/layumi/Person_reID_baseline_pytorch

4

ICME2018_Occluded-Person-Reidentification_datasets. Release the datasets in the paper（ ICME 2018 ） ,Occluded Person Re-identification.

3

SparseNeRF.github.io. JavaScript

2

learnable-parameter-similarity. learnable-parameter-similarity

2

SparseNeRF_old. Python

2

Kalman-Normalization. Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"

2

video-summary. Python

2

tools.

2

Statistical-Analysis-Method. Projects

2

CMVS-PMVS. This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).

2

test. first_commit

1

BayesClassify. email spam or ham classify

1

rename_for_images. C++

1

getopt2. has tested

1

SVM. SVM using opencv library

1

MyKNN. C++

1

getopt. C++

1

reID-baseline3. Python

1

projects1. projects 1

1

Anonymous. Python

1

fast-rcnn. Fast R-CNN

1

caffe. Caffe: a fast open framework for deep learning.

1

HumanParsing-Dataset.

1

pycaffe-mnist. Python

1

rcnn. R-CNN: Regions with Convolutional Neural Network Features

1

caffe-lstm. LSTM implementation on Caffe

1

open-reid. Open source person re-identification library in python

1

pytorch_workplace. Python

1

pose-sensitive-embedding. Pose Sensitive Embedding for Person Re-Identification (PSE)

1

Person_reID_baseline_pytorch. Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

1

pytorch-classification. Classification with PyTorch.

1

person-re-ranking. Person Re-ranking (CVPR 2017)

1

triplet-reid. Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

1

Mask_RCNN. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

1

spatio-tmp_pyramid. code for my undergraduate thesis

1

SDALF. Person re-identification with SDALF - CVPR 2010

1

Bundler. Structure from Motion (SfM) for Unordered Image Collections

1

expanded-cross-neighborhood. Expanded Cross Neighborhood distance based Re-ranking (ECN)

1
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