Shaohui Lin | DeepAI

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Featured Co-authors

Wei Li
276 publications
Yi Zhang
232 publications
Qi Tian
230 publications
Fan Yang
212 publications
Ling Shao
200 publications
Rongrong Ji
157 publications
Ke Li
151 publications
Yuan Xie
115 publications
Xuelong Li
95 publications
Feiyue Huang
81 publications
Qixiang Ye
80 publications

∙ 05/19/2023

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning

Continual learning aims to enable a model to incrementally learn knowled...

0 Runqi Wang, et al. ∙

∙ 12/15/2022

DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution

Real-world image super-resolution (RISR) has received increased focus fo...

0 Junbo Qiao, et al. ∙

∙ 06/02/2022

MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet

U-Nets have achieved tremendous success in medical image segmentation. N...

13 Nan Wang, et al. ∙

∙ 04/28/2022

A Closer Look at Branch Classifiers of Multi-exit Architectures

Multi-exit architectures consist of a backbone and branch classifiers th...

15 Shaohui Lin, et al. ∙

∙ 06/18/2021

Novelty Detection via Contrastive Learning with Negative Data Augmentation

Novelty detection is the process of determining whether a query example ...

0 Chengwei Chen, et al. ∙

∙ 05/25/2021

Towards Compact Single Image Super-Resolution via Contrastive Self-distillation

Convolutional neural networks (CNNs) are highly successful for super-res...

3 Yanbo Wang, et al. ∙

∙ 05/24/2021

Towards Compact CNNs via Collaborative Compression

Channel pruning and tensor decomposition have received extensive attenti...

0 Yuchao Li, et al. ∙

∙ 04/19/2021

Contrastive Learning for Compact Single Image Dehazing

Single image dehazing is a challenging ill-posed problem due to the seve...

47 Haiyan Wu, et al. ∙

∙ 04/07/2021

Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification

The Information Bottleneck (IB) provides an information theoretic princi...

0 Xudong Tian, et al. ∙

∙ 11/09/2020

PAMS: Quantized Super-Resolution via Parameterized Max Scale

Deep convolutional neural networks (DCNNs) have shown dominant performan...

0 Huixia Li, et al. ∙

∙ 04/20/2020

Towards deep neural network compression via learnable wavelet transforms

Wavelets are well known for data compression, yet have rarely been appli...

0 Moritz Wolter, et al. ∙

∙ 09/28/2019

Training convolutional neural networks with cheap convolutions and online distillation

The large memory and computation consumption in convolutional neural net...

0 Jiao Xie, et al. ∙

∙ 06/04/2019

Dynamic Neural Network Decoupling

Convolutional neural networks (CNNs) have achieved a superior performanc...

0 Yuchao Li, et al. ∙

∙ 03/22/2019

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

Structured pruning of filters or neurons has received increased focus fo...

0 Shaohui Lin, et al. ∙

∙ 01/23/2019

Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning

The success of convolutional neural networks (CNNs) in computer vision a...

0 Shaohui Lin, et al. ∙

∙ 12/11/2018

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

Compressing convolutional neural networks (CNNs) has received ever-incre...

0 Yuchao Li, et al. ∙