Lin, Shaohui

38 publications

NeurIPS 2025 Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models Xiaoyu Zhan, Wenxuan Huang, Hao Sun, Xinyu Fu, Changfeng Ma, Shaosheng Cao, Bohan Jia, Shaohui Lin, Zhenfei Yin, Lei Bai, Wanli Ouyang, Yuanqi Li, Jie Guo, Yanwen Guo

ICLR 2025 AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang

AAAI 2025 Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration Yunshuai Zhou, Junbo Qiao, Jincheng Liao, Wei Li, Simiao Li, Jiao Xie, Yunhang Shen, Jie Hu, Shaohui Lin

ICLR 2025 Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-Language Context Sparsification Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin

ICLR 2025 Knowledge Distillation with Multi-Granularity Mixture of Priors for Image Super-Resolution Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu

AAAI 2025 Probability-Density-Aware Semi-Supervised Learning Shuyang Liu, Ruiqiu Zheng, Yunhang Shen, Zhou Yu, Ke Li, Xing Sun, Shaohui Lin

CVPR 2025 SET: Spectral Enhancement for Tiny Object Detection Huixin Sun, Runqi Wang, Yanjing Li, Linlin Yang, Shaohui Lin, Xianbin Cao, Baochang Zhang

CVPR 2025 Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-Modal LLMs in Video Analysis Chaoyou Fu, Yuhan Dai, Yongdong 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, Caifeng Shan, Ran He, Xing Sun

ICCV 2025 WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection Haodong Zhu, Wenhao Dong, Linlin Yang, Hong Li, Yuguang Yang, Yangyang Ren, Qingcheng Zhu, Zichao Feng, Changbai Li, Shaohui Lin, Runqi Wang, Xiaoyan Luo, Baochang Zhang

CVPR 2025 Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion Xiangfeng Xu, Pinyi Zhang, Wenxuan Huang, Yunhang Shen, Haosheng Chen, Jingzhong Lin, Wei Li, Gaoqi He, Jiao Xie, Shaohui Lin

CVPR 2024 A General and Efficient Training for Transformer via Token Expansion Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin

AAAI 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

CVPR 2024 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

NeurIPS 2024 CLIP in Mirror: Disentangling Text from Visual Images Through Reflection Tiancheng Wang, Yuguang Yang, Linlin Yang, Shaohui Lin, Juan Zhang, Guodong Guo, Baochang Zhang

CVPR 2024 CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning Lianggangxu Chen, Xuejiao Wang, Jiale Lu, Shaohui Lin, Changbo Wang, Gaoqi He

AAAI 2024 Kumaraswamy Wavelet for Heterophilic Scene Graph Generation Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He

IJCAI 2024 Rethinking Centered Kernel Alignment in Knowledge Distillation Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin

AAAI 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

CVPRW 2024 The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report 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, Emad Barsoum, 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, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

AAAI 2024 Weakly Supervised Open-Vocabulary Object Detection Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao

AAAI 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

CVPR 2023 AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lü, Baochang Zhang

AAAI 2023 Explicit Invariant Feature Induced Cross-Domain Crowd Counting Yiqing Cai, Lianggangxu Chen, Haoyue Guan, Shaohui Lin, Changhong Lu, Changbo Wang, Gaoqi He

AAAI 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

ECCV 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

CVPR 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

ICML 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

CVPR 2021 Contrastive Learning for Compact Single Image Dehazing Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma

CVPR 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

IJCAI 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

IJCAI 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

CVPR 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

IJCAI 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

ECCV 2020 Interpretable Neural Network Decoupling Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao

ECCV 2020 PAMS: Quantized Super-Resolution via Parameterized Max Scale Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji

IJCAI 2018 Accelerating Convolutional Networks via Global & Dynamic Filter Pruning Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang

AAAI 2017 ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang

IJCAI 2016 Towards Convolutional Neural Networks Compression via Global Error Reconstruction Shaohui Lin, Rongrong Ji, Xiaowei Guo, Xuelong Li