tianfeng80's repositories
3dcnn.torch
Volumetric CNN for feature extraction and object classification on 3D data.
visual7w-toolkit
Toolkit for Visual7W visual question answering dataset
3D_Vision
A GUI app for 3D object search and retrieval
arctic-capgen-vid
automatic video description generation with GPU training
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
awesome-vqa
Visual Q&A reading list
CNN-for-Image-Retrieval
:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
csd_lmnn
Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval
dual_encoding
[CVPR2019] Dual Encoding for Zero-Example Video Retrieval
features
a python lib for image feature extraction
hashing-baseline-for-image-retrieval
:octocat:Various hashing methods for image retrieval and serves as the baselines
hierse
Zero-shot image tagging by hierarchical semantic embedding
imageqa-san
code for Stacked attention networks for image question answering
jingwei
A framework for evaluating image tag assignment, tag refinement and tag-based image retrieval
neural-vqa
CNN+LSTM model for Visual Question Answering
neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU
nmn2
Dynamically predicted neural network structures for multi-domain question answering
opensse
Open Sketch Search Engine－ 3D object retrieval based on sketch image as input
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
SketchRetrieval
Sketch-based 3D model retrieval
VideoCaption
Video captioning using LSTM and CNN. This is the Visual Learning project done by Rui Zhang, Yujia Huang and Yu Zhang
visual7w-qa-models
Visual7W visual question answering models
VQA-Image-Question-Answering
CNN + RNN / LSTM / GRU model for Image Question Answering (VQA)
VQA_Demo
Visual Question Answering Demo on pretrained model
VQAbaseline
Simple Baseline for Visual Question Answering