XiangChenchao

postgraduate at CS Department, HangZhou Dianzi University.

HangZhou,China

Pinned Repositories

bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Language:Jupyter Notebook0 1 00
bottom-up-attention-vqa
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
Language:Python0 1 00
DDPN
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding
Language:Jupyter Notebook22 1 36
HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
Language:C++0 1 00
illustration2vec
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Language:Python00
vqa-mfb
Language:Python0 1 00
vqa-mfb.pytorch
Language:Python0 1 00

XiangChenchao/DDPN
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding
Language:Jupyter Notebook22 1 36
XiangChenchao/bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Language:Jupyter Notebook0 1 00
XiangChenchao/bottom-up-attention-vqa
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
Language:Python0 1 00
XiangChenchao/HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
Language:C++0 1 00
XiangChenchao/illustration2vec
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Language:Python00
XiangChenchao/vqa-mfb
Language:Python0 1 00
XiangChenchao/vqa-mfb.pytorch
Language:Python0 1 00