| siddiquesalman/flatnet |
25 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
bsd-3-clause |
Jupyter Notebook |
| This is the official pytorch code repo for the ICCV 2019 paper Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Images and the TPAMI 2020 paper FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements |
| Chinmayrane16/ReconNet-PyTorch |
10 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| A non-iterative algorithm to reconstruct images from compressively sensed measurements. |
| xiaozai/Anthropometric-clothing-measurements-from-3D-body-scans |
10 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Code and Datasets for Anthropometric clothing measurements from 3D body scans (MVA2020 paper) |
| TJUNLP/TTMF |
8 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
|
Python |
| TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs |
| tmodel-ccs2018/tmodel-ccs2018.github.io |
7 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
Python |
| Privacy-Preserving Dynamic Learning of Tor Network Traffic |
| OlivierBlanvillain/blogforever-crawler-publication |
7 |
|
0 |
0 |
over 11 years ago |
0 |
|
0 |
mit |
TeX |
| BlogForever Crawler publication |
| ssllandscape/ssllandscape |
6 |
|
0 |
0 |
over 12 years ago |
0 |
|
0 |
|
Python |
| Source code for our paper: "The SSL Landscape - a thorough analysis of the X.509 PKI using active and passive measurements" |
| PKU-ICST-MIPL/MCSM_TIP2018 |
6 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Lua |
| Source code of our TIP 2018 paper "Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network". |
| darribas/satellite_led_liverpool |
6 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Data and code for the paper "Remote Sensing-Based Measurement of Living Environment Deprivation - Improving Classical Approaches with Machine Learning", by Dani Arribas-Bel, Jorge Patiño and Juanca Duque |
| avalanchesiqi/networked-popularity |
5 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| Code and Data for paper: Estimating Attention Flow in Online Video Networks (CSCW '19) |
