Shaohui Lin

发表

A Closer Look at Branch Classifiers of Multi-exit Architectures

Angela Yao, Rongrong Ji, Shaohui Lin, 2022, SSRN Electronic Journal.

FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy

T. Tong, Qinquan Gao, Min Du, 2017, PloS one.

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

Yunhang Shen, Yue Gao, Xiaoxiao Li, 2022, ArXiv.

Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning

Xuelong Li, Rongrong Ji, Cheng Deng, 2019, ArXiv.

Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer

Rongrong Ji, Jiebo Luo, Dacheng Tao, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Contrastive Learning for Compact Single Image Dehazing

Lizhuang Ma, Yuan Xie, Yanyun Qu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation

Zongyue Wang, Yangbin Lin, Shaohui Lin, 2019, IEEE Access.

ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy

Rongrong Ji, Feiyue Huang, Chao Chen, 2017, AAAI.

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

Yanyun Qu, Yuan Xie, Lizhuang Ma, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

PAMS: Quantized Super-Resolution via Parameterized Max Scale

Fan Yang, Baochang Zhang, Xiawu Zheng, 2020, ECCV.

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

Liujuan Cao, Rongrong Ji, Feiyue Huang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Accelerating Convolutional Networks via Global & Dynamic Filter Pruning

Rongrong Ji, Yongjian Wu, Feiyue Huang, 2018, IJCAI.

Neural Network Compression via Learnable Wavelet Transforms

Moritz Wolter, Shaohui Lin, Angela Yao, 2020, ICANN.

Towards Compact CNNs via Collaborative Compression

Qi Tian, Qixiang Ye, Mengdi Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

Rongrong Ji, Yongjian Wu, Feiyue Huang, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection

Angela Yao, W. Zhang, Yanyun Qu, 2022, AAAI.

HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization

Yunhang Shen, Shaohui Lin, Ruizhi Qiao, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Yuan Xie, Angela Yao, Yanyun Qu, 2021, IJCAI.

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

Wei Li, Shaohui Lin, Gaoqi He, 2022, ArXiv.

Novelty Detection via Contrastive Learning with Negative Data Augmentation

Lizhuang Ma, Yuan Xie, Xin Tan, 2021, IJCAI.

Compressing convolutional neural networks with cheap convolutions and online distillation

Shaohui Lin, Yichen Zhang, Linkai Luo, 2023, Displays.

Learn from Concepts: Towards the Purified Memory for Few-shot Learning

Lizhuang Ma, Yanyun Qu, Shaohui Lin, 2021, IJCAI.

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning

Guoliang Kang, Jianzhuang Liu, Baochang Zhang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards deep neural network compression via learnable wavelet transforms pdf

Angela Yao, Moritz Wolter, Shaohui Lin, 2020, ArXiv.

Training convolutional neural networks with cheap convolutions and online distillation pdf

Yichen Zhang, Shaohui Lin, Linkai Luo, 2019, ArXiv.

Latent Feature Regularization based Adversarial Network for Brain Tumor Anomaly Detection

Shaohui Lin, Lizhuang Ma, Nan Wang, 2023, 2023 IEEE International Conference on Multimedia and Expo (ICME).

Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation

Yunhang Shen, Zhou Yu, Ke Li, 2023, AAAI.

Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler

D. Doermann, Yunhang Shen, Zhou Yu, 2023, ArXiv.

Self-supervised Models are Good Teaching Assistants for Vision Transformers

Xing Sun, Yuting Gao, Shaohui Lin, 2022, ICML.

Explicit Invariant Feature Induced Cross-Domain Crowd Counting

Shaohui Lin, Yiqing Cai, Haoyue Guan, 2023, AAAI.

A Closer Look at Branch Classifiers of Multi-exit Architectures

Angela Yao, Rongrong Ji, Shaohui Lin, 2022, Comput. Vis. Image Underst..

Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning

Yuchao Li, Shaohui Lin, Cheng Deng, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Towards Convolutional Neural Networks Compression via Global Error Reconstruction

Xuelong Li, Rongrong Ji, Xiaowei Guo, 2016, IJCAI.