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codedenoise

In this work, we propose the first input denoising technique (i.e., CodeDenoise) for deep code models. Its key idea is to localize noisy identifiers in (likely) mispredicted inputs, and denoise such inputs by cleansing the located identifiers.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

exercise

hello-world

hygrcls

This program is for hyper graph clustering for large hyper edges

learn-to-cluster

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

pca-gm

Code for ICCV 2019 oral paper: Learning Combinatorial Embedding Networks for Deep Graph Matching

vision

Datasets, Transforms and Models specific to Computer Vision