Shaohui Lin

According to our database, Shaohui Lin authored at least 54 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving rare relation inferring for scene graph generation using bipartite graph network.

Jiale Lu, Lianggangxu Chen, Haoyue Guan, Shaohui Lin, Chunhua Gu, Changbo Wang, Gaoqi He

Comput. Vis. Image Underst., February, 2024

A closer look at branch classifiers of multi-exit architectures.

Shaohui Lin, Bo Ji, Rongrong Ji, Angela Yao

Comput. Vis. Image Underst., February, 2024

Rethinking Centered Kernel Alignment in Knowledge Distillation.

Zikai Zhou, Yunhang Shen, Shitong Shao, Huanran Chen, Linrui Gong, Shaohui Lin

CoRR, 2024

Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization.

Mengtian Li, Shaohui Lin, Zihan Wang, Yunhang Shen, Baochang Zhang, Lizhuang Ma

CoRR, 2024

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries.

Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Weakly Supervised Open-Vocabulary Object Detection.

Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space.

Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Kumaraswamy Wavelet for Heterophilic Scene Graph Generation.

Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution.

Jiao Xie, Linrui Gong, Shitong Shao, Shaohui Lin, Linkai Luo

Neurocomputing, October, 2023

MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet.

Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma

IEEE Trans. Medical Imaging, September, 2023

Compressing convolutional neural networks with cheap convolutions and online distillation.

Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo

Displays, July, 2023

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise.

Chaoyou Fu, Renrui Zhang, Zihan Wang, Yubo Huang, Zhengye Zhang, Longtian Qiu, Gaoxiang Ye, Yunhang Shen, Mengdan Zhang, Peixian Chen, Sirui Zhao, Shaohui Lin, Deqiang Jiang, Di Yin, Peng Gao, Ke Li, Hongsheng Li, Xing Sun

CoRR, 2023

Aligning and Prompting Everything All at Once for Universal Visual Perception.

Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji

CoRR, 2023

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

Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann

CoRR, 2023

EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning.

Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation.

Chong Huang, Shaohui Lin, Yan Zhang, Ke Li, Baochang Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

MVP-SEG: Multi-view Prompt Learning for Open-Vocabulary Semantic Segmentation.

Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Shaohui Lin, Baochang Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation.

Xiangchuang Chen, Yunhang Shen, Xuan Luo, Yan Zhang, Ke Li, Shaohui Lin

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Prior Knowledge-driven Dynamic Scene Graph Generation with Causal Inference.

Jiale Lu, Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Latent Feature Regularization based Adversarial Network for Brain Tumor Anomaly Detection.

Nan Wang, Chengwei Chen, Lizhuang Ma, Shaohui Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning.

Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RAGT: Learning Robust Features for Occluded Human Pose and Shape Estimation with Attention-Guided Transformer.

Ziqing Li, Yang Li, Shaohui Lin

Proceedings of the Computer-Aided Design and Computer Graphics, 2023

An Online Control Approach of Collaborative Federated Learning with Constrained Resources.

Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen

Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation.

Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Explicit Invariant Feature Induced Cross-Domain Crowd Counting.

Yiqing Cai, Lianggangxu Chen, Haoyue Guan, Shaohui Lin, Changhong Lu, Changbo Wang, Gaoqi He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Junbo Qiao, Shaohui Lin, Yunlun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma

CoRR, 2022

Self-supervised Models are Good Teaching Assistants for Vision Transformers.

Haiyan Wu, Yuting Gao, Yinqi Zhang, Shaohui Lin, Yuan Xie, Xing Sun, Ke Li

Proceedings of the International Conference on Machine Learning, 2022

DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning.

Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao, Bo Ren, Shaohui Lin, Lizhuang Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Chengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

Xuncheng Liu, Xudong Tian, Shaohui Lin, Yanyun Qu, Lizhuang Ma, Wang Yuan, Zhizhong Zhang, Yuan Xie

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Novelty Detection via Contrastive Learning with Negative Data Augmentation.

Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-supervised Compressed Video Action Recognition via Temporal-Consistent Sampling.

Pan Chen, Shaohui Lin, Yongxiang Zhang, Jiachen Xu, Xin Tan, Lizhuang Ma

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Contrastive Learning for Compact Single Image Dehazing.

Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Xudong Tian, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, Lizhuang Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Towards Compact CNNs via Collaborative Compression.

Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning.

Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2020

PAMS: Quantized Super-Resolution via Parameterized Max Scale.

Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji

CoRR, 2020

Towards deep neural network compression via learnable wavelet transforms.

Moritz Wolter, Shaohui Lin, Angela Yao

CoRR, 2020

Neural Network Compression via Learnable Wavelet Transforms.

Moritz Wolter, Shaohui Lin, Angela Yao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

PAMS: Quantized Super-Resolution via Parameterized Max Scale.

Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2020, 2020

Interpretable Neural Network Decoupling.

Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer.

Shaohui Lin, Rongrong Ji, Chao Chen, Dacheng Tao, Jiebo Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Training convolutional neural networks with cheap convolutions and online distillation.

Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo

CoRR, 2019

Dynamic Neural Network Decoupling.

Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao

CoRR, 2019

Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning.

Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li

CoRR, 2019

Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation.

Zongyue Wang, Shaohui Lin, Jiao Xie, Yangbin Lin

IEEE Access, 2019

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning.

Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression.

Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Accelerating Convolutional Networks via Global & Dynamic Filter Pruning.

Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

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

Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Masked face detection via a modified LeNet.

Shaohui Lin, Ling Cai, Xianming Lin, Rongrong Ji

Neurocomputing, 2016

Towards Convolutional Neural Networks Compression via Global Error Reconstruction.

Shaohui Lin, Rongrong Ji, Xiaowei Guo, Xuelong Li

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016