7 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
CLOP: Video-and-Language Pre-Training with Knowledge Regularizations
Guohao Li, Hu Yang, Feng He +4
Video-and-language pre-training has shown promising results for learning generalizable representations. Most existing approaches usually model video and text in an implicit manner,…
cs.CV2021★ 7 cited
A CLIP-Enhanced Method for Video-Language Understanding
Guohao Li, Feng He, Zhifan Feng
This technical report summarizes our method for the Video-And-Language Understanding Evaluation (VALUE) challenge (https://value-benchmark.github.io/challenge\_2021.html). We propo…
cs.CL2019
mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation
Dayiheng Liu, Xu Yang, Feng He +2
It has been previously observed that training Variational Recurrent Autoencoders (VRAE) for text generation suffers from serious uninformative latent variables problem. The model w…