Seoul, Republic of Korea

Jin-Hwa Kim

Elite
@jnhwkim

ban-vqa. Bilinear attention networks for visual question answering

548

MulLowBiVQA. Hadamard Product for Low-rank Bilinear Pooling

72

cbp. Multimodal Compact Bilinear Pooling for Torch7

70

nips-mrn-vqa. Multimodal Residual Learning for Visual QA (NIPS 2016)

39

ddx. Deep Learning Dashboard

39

orthoad. Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

28

Pensees. A collection of fragments for reading research papers.

6

validate.js. Lightweight JavaScript form validation library inspired by CodeIgniter.

4

PREA. PREA for the comparative evaluation to MGBR.

4

dropc-wan. Regularization of Neural Networks using DropConnect

4

rnn. Recurrent Neural Network library for Torch7's nn

3

AMMA. Attentional Multi-Modal learning for Animation.

2

academic-kickstart. HTML

2

ngp_pl. Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

2

tiny-cuda-nn. Lightning fast C++/CUDA neural network framework

1

Mask2Former. Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

1

nerf_pl. NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

1

spectral-lib. Lua

1

VQA_LSTM_CNN. Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.

1

skip-thoughts.torch. Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

1

mid.metric. Python

1

bashrc-vimrc. bashrc and vimrc I'm using.

1

Eye-Tracking. Testbed for eye-tracking data of KidsVideo.

1

visdial. [CVPR 2017] Torch code for Visual Dialog

1

flownet. Lua

1

awesome-rnn. Recurrent Neural Network - A curated list of resources dedicated to RNN

1

pycvmpeg7. A port of the MPEG-7 visual descriptor library (MPEG7FexLib by Bilkent University) with slight tweaks to python

1
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