AIMC-Lab@RUC

AI & Media Computing Lab, Renmin University of China

China

Pinned Repositories

CdCL
Code for our BIBM2023 paper on wide-field fundus image based retinal disease recognition
Language:Python5 1 01
ChinaOpen
A video dataset for open-world multimodal learning
Language:HTML0 1 00
GeoFormer
GeoFormer for Homography Estimation
Language:Python31 1 56
LAFF
Source code of ECCV2022 LAFF for Text-to-Video Retrieval
Language:Python45 1 65
nT2VR
Data and code for ACMMM2022 paper "Learn to Understand Negation in Video Retrieval"
Language:Python5 1 21
ruc-aimc-lab.github.io
:sparkles: Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
Language:HTML0 0 02
SuperRetina
[ECCV 2022] SuperRetina for retinal image matching
Language:Jupyter Notebook61 2 47
TeachCLIP
Source code of our CVPR2024 paper TeachCLIP for Text-to-Video Retrieval
Language:Python29 2 31
v3c1-pc
V3C1-Pseudo-Caption (V3C1-PC), an auto-generated video description dataset for model pre-training
0 1 00

ruc-aimc-lab/SuperRetina
[ECCV 2022] SuperRetina for retinal image matching
Language:Jupyter Notebook61 2 47
ruc-aimc-lab/LAFF
Source code of ECCV2022 LAFF for Text-to-Video Retrieval
Language:Python45 1 65
ruc-aimc-lab/GeoFormer
GeoFormer for Homography Estimation
Language:Python31 1 56
ruc-aimc-lab/TeachCLIP
Source code of our CVPR2024 paper TeachCLIP for Text-to-Video Retrieval
Language:Python29 2 31
ruc-aimc-lab/CdCL
Code for our BIBM2023 paper on wide-field fundus image based retinal disease recognition
Language:Python5 1 01
ruc-aimc-lab/nT2VR
Data and code for ACMMM2022 paper "Learn to Understand Negation in Video Retrieval"
Language:Python5 1 21
ruc-aimc-lab/ChinaOpen
A video dataset for open-world multimodal learning
Language:HTML0 1 00
ruc-aimc-lab/ruc-aimc-lab.github.io
:sparkles: Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
Language:HTML0 0 02
ruc-aimc-lab/v3c1-pc
V3C1-Pseudo-Caption (V3C1-PC), an auto-generated video description dataset for model pre-training
0 1 00