paper-notes

2020-06

• Blurry Video Frame Interpolation [ note] [ paper] [ code]
• Dynamic Convolutions: Attention over Convolution Kernels [ note] [ paper]
• Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference [ note] [ paper] [ code]

2019-12

• CondConv: Conditionally Parameterized Convolutions for Efficient Inference [ note] [ paper] [ code]

2019-06

• Learning to Extract Flawless Slow Motion from Blurry Videos [ note ] [ paper] [ code ]

2018-06

• Learning to Extract a Video Sequence from a Single Motion-Blurred Image [ note ] [ paper ]

2018-01

• The Unreasonable Effectiveness of Deep Features as a Perceptual Metric [ note ] [ paper ] [project page] [code]

• MaskGAN: Better Text Generation via Filling in the ___________, ICLR 2018 [ note ] [ paper ]

2017-12

• Understanding disentangling in $\beta$-VAE, NIPS 2017 workshop [ note ] [ paper ]

• Data Distillation: Towards Omni-Supervised Learning [ note ] [ paper ]

2017-11

• Deep Image Prior [note] [ paper ] [ project page ] [ code ]

2017-05

• Unsupervised Learning of Disentangled Representations from Video [ note ] [ paper ] [ project page ] [ code ]

2017-03

• Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results [ note ] [ paper ] [ blog ] [ code ]

2016-11

• β-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework [ note ] [ paper ]

2016-10

• Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization [ note ] [ paper ] [ code ]

2015-12

• Learning Deep Features for Discriminative Localization [ note ] [ paper ] [ project page ] [ code ]