Shaohui Lin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 76

Top Topics

Positive Definite

Convolutional Neural Network

Object Detection

Top Venues

Publications

Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. CoRR (2024)
Mengtian Li, Shaohui Lin, Zihan Wang, Yunhang Shen, Baochang Zhang, Lizhuang Ma
Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization. Pattern Recognit. 156 (2024)
Jiale Lu, Lianggangxu Chen, Haoyue Guan, Shaohui Lin, Chunhua Gu, Changbo Wang, Gaoqi He
Improving rare relation inferring for scene graph generation using bipartite graph network. Comput. Vis. Image Underst. 239 (2024)
Zikai Zhou, Yunhang Shen, Shitong Shao, Huanran Chen, Linrui Gong, Shaohui Lin
Rethinking Centered Kernel Alignment in Knowledge Distillation. CoRR (2024)
Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He
Kumaraswamy Wavelet for Heterophilic Scene Graph Generation. AAAI (2024)
Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution. CoRR (2024)
Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. AAAI (2024)
Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin
LIPT: Latency-aware Image Processing Transformer. CoRR (2024)
Shaohui Lin, Bo Ji, Rongrong Ji, Angela Yao
A closer look at branch classifiers of multi-exit architectures. Comput. Vis. Image Underst. 239 (2024)
Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Barsoum Emad, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. CoRR (2024)
Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin
A General and Efficient Training for Transformer via Token Expansion. CoRR (2024)
Wenhao Dong, Haodong Zhu, Shaohui Lin, Xiaoyan Luo, Yunhang Shen, Xuhui Liu, Juan Zhang, Guodong Guo, Baochang Zhang
Fusion-Mamba for Cross-modality Object Detection. CoRR (2024)
Liujuan Cao, Jianghang Lin, Zebo Hong, Yunhang Shen, Shaohui Lin, Chao Chen, Rongrong Ji
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection. CoRR (2024)
Yinqi Zhang, Lingfu Jiang, Fuhai Chen, Jiao Xie, Baochang Zhang, Gaoqi He, Shaohui Lin
SegCFT: Context-aware Fourier Transform for efficient semantic segmentation. Neurocomputing 596 (2024)
Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. AAAI (2024)
Mengtian Li, Shaohui Lin, Zihan Wang, Yunhang Shen, Baochang Zhang, Lizhuang Ma
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization. CoRR (2024)
Zhizhong Zhang, Yuan Xie, Chong Zhang, Yanbo Wang, Yanyun Qu, Shaohui Lin, Lizhuang Ma, Qi Tian
Dynamic image super-resolution via progressive contrastive self-distillation. Pattern Recognit. 153 (2024)
Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao
Weakly Supervised Open-Vocabulary Object Detection. AAAI (2024)
Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Shaohui Lin, Baochang Zhang
MVP-SEG: Multi-view Prompt Learning for Open-Vocabulary Semantic Segmentation. PRCV (12) (2023)
Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen
EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning. SECON (2023)
Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. CVPR (2023)
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
A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise. CoRR (2023)
Nan Wang, Chengwei Chen, Lizhuang Ma, Shaohui Lin
Latent Feature Regularization based Adversarial Network for Brain Tumor Anomaly Detection. ICME (2023)
Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji
Aligning and Prompting Everything All at Once for Universal Visual Perception. CoRR (2023)
Jiao Xie, Linrui Gong, Shitong Shao, Shaohui Lin, Linkai Luo
Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution. Neurocomputing 554 (2023)
Jiale Lu, Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He
Prior Knowledge-driven Dynamic Scene Graph Generation with Causal Inference. ACM Multimedia (2023)
Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. AAAI (2023)
Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao
Weakly Supervised Open-Vocabulary Object Detection. CoRR (2023)
Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. CoRR (2023)
Xiangchuang Chen, Yunhang Shen, Xuan Luo, Yan Zhang, Ke Li, Shaohui Lin
Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation. PRCV (3) (2023)
Yiqing Cai, Lianggangxu Chen, Haoyue Guan, Shaohui Lin, Changhong Lu, Changbo Wang, Gaoqi He
Explicit Invariant Feature Induced Cross-Domain Crowd Counting. AAAI (2023)
Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. CoRR (2023)
Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. CoRR (2023)
Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen
An Online Control Approach of Collaborative Federated Learning with Constrained Resources. APNet (2023)
Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo
Compressing convolutional neural networks with cheap convolutions and online distillation. Displays 78 (2023)
Chong Huang, Shaohui Lin, Yan Zhang, Ke Li, Baochang Zhang
Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation. PRCV (8) (2023)
Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma
MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet. IEEE Trans. Medical Imaging 42 (9) (2023)
Ziqing Li, Yang Li, Shaohui Lin
RAGT: Learning Robust Features for Occluded Human Pose and Shape Estimation with Attention-Guided Transformer. CAD/Graphics (2023)
Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao, Bo Ren, Shaohui Lin, Lizhuang Ma
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization. CVPR (2022)
Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet. CoRR (2022)
Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen
DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. ECCV (26) (2022)
Shaohui Lin, Bo Ji, Rongrong Ji, Angela Yao
A Closer Look at Branch Classifiers of Multi-exit Architectures. CoRR (2022)
Chengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma
Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection. AAAI (2022)
Haiyan Wu, Yuting Gao, Yinqi Zhang, Shaohui Lin, Yuan Xie, Xing Sun, Ke Li
Self-supervised Models are Good Teaching Assistants for Vision Transformers. ICML (2022)
Junbo Qiao, Shaohui Lin, Yunlun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution. CoRR (2022)
Xuncheng Liu, Xudong Tian, Shaohui Lin, Yanyun Qu, Lizhuang Ma, Wang Yuan, Zhizhong Zhang, Yuan Xie
Learn from Concepts: Towards the Purified Memory for Few-shot Learning. IJCAI (2021)
Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation. CoRR (2021)
Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma
Novelty Detection via Contrastive Learning with Negative Data Augmentation. IJCAI (2021)
Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma
Contrastive Learning for Compact Single Image Dehazing. CVPR (2021)
Pan Chen, Shaohui Lin, Yongxiang Zhang, Jiachen Xu, Xin Tan, Lizhuang Ma
Self-supervised Compressed Video Action Recognition via Temporal-Consistent Sampling. ICONIP (4) (2021)
Xudong Tian, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, Lizhuang Ma
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification. CoRR (2021)
Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma
Novelty Detection via Contrastive Learning with Negative Data Augmentation. CoRR (2021)
Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji
Towards Compact CNNs via Collaborative Compression. CoRR (2021)
Xudong Tian, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, Lizhuang Ma
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification. CVPR (2021)
Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation. IJCAI (2021)
Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma
Contrastive Learning for Compact Single Image Dehazing. CoRR (2021)
Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji
Towards Compact CNNs via Collaborative Compression. CVPR (2021)
Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao
Interpretable Neural Network Decoupling. ECCV (15) (2020)
Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji
PAMS: Quantized Super-Resolution via Parameterized Max Scale. CoRR (2020)
Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li
Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. IEEE Trans. Neural Networks Learn. Syst. 31 (2) (2020)
Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji
PAMS: Quantized Super-Resolution via Parameterized Max Scale. ECCV (25) (2020)
Moritz Wolter, Shaohui Lin, Angela Yao
Towards deep neural network compression via learnable wavelet transforms. CoRR (2020)
Moritz Wolter, Shaohui Lin, Angela Yao
Neural Network Compression via Learnable Wavelet Transforms. ICANN (2) (2020)
Zongyue Wang, Shaohui Lin, Jiao Xie, Yangbin Lin
Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation. IEEE Access 7 (2019)
Jiao Xie, Shaohui Lin, Yichen Zhang, Linkai Luo
Training convolutional neural networks with cheap convolutions and online distillation. CoRR (2019)
Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CVPR (2019)
Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. CoRR (2019)
Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CVPR (2019)
Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao
Dynamic Neural Network Decoupling. CoRR (2019)
Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. CoRR (2019)
Shaohui Lin, Rongrong Ji, Chao Chen, Dacheng Tao, Jiebo Luo
Holistic CNN Compression via Low-Rank Decomposition with Knowledge Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 41 (12) (2019)
Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. IJCAI (2018)
Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CoRR (2018)
Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang
ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy. AAAI (2017)
Shaohui Lin, Ling Cai, Xianming Lin, Rongrong Ji
Masked face detection via a modified LeNet. Neurocomputing 218 (2016)
Shaohui Lin, Rongrong Ji, Xiaowei Guo, Xuelong Li
Towards Convolutional Neural Networks Compression via Global Error Reconstruction. IJCAI (2016)