Fis-V dataset: https://drive.google.com/file/d/1FQ0-H3gkdlcoNiCe8RtAoZ3n7H1psVCI/view
hairstyle dataset: http://www.sdspeople.fudan.edu.cn/fuyanwei/dataset/hairstyle/
zero-shot dataset of Sinovation Ventures: https://challenger.ai/competition/zsl2018/
Ekman-6 dataset: https://github.com/kittenish/Frame-Transformer-Network or https://drive.google.com/drive/folders/0B-iork9xj4brQmlYYjlsUUtVVGM?resourcekey=0-ZCZMvJXTIPVYAIcXyGH7cA
Ekman-6 video dataset : http://10.176.53.246/data/Ekman.zip
(inner server of Fudan) or
https://drive.google.com/drive/folders/11uJTbqdHXqjQw63_teXXda0cILGDVyo4?usp=sharing
VideoStory dataset: https://drive.google.com/file/d/1VKeaV_owbXciujTaDZ8NAJMXxkPqFw0d/view?ts=5fc06a0d
video Emotion-8 all data: https://drive.google.com/drive/folders/0B5peJ1MHnIWGd3pFbzMyTG5BSGs?resourcekey=0-hZ1jo5t1hIauRpYhYIvWYA
PN-GAN codes/models: https://github.com/yanweifu/PN_GAN
pixel2mesh codes/models: http://bigvid.fudan.edu.cn/pixel2mesh/
Multi-view video summarization dataset: http://www.sdspeople.fudan.edu.cn/fuyanwei/summarization/summarization.html
USAA ( Understanding Unstructured Social Activity) video dataset: http://yanweifu.github.io/USAA/download/
Multi-label zero-shot learning dataset: http://yanweifu.github.io/embedding/Multilabel/home.html
Transductive multi-view zero-shot learning codes: https://github.com/yanweifu/embedding_zero-shot-learning
Robust learning to rank for subjective visual properties codes: https://github.com/yanweifu/Robust_ranking
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2012.01-2012.06 TA for Fundamentals of Web Technology (DCS150)
2012.09-2012.12 TA for C++ for Image Processing (DCS339/AMCM053)
2013.01-2013.06 TA for Fundamentals of Web Technology (ECS417)
2014.01-2014.06 TA for Fundamentals of Web Technology (ECS417U)