Junjun He - researchr alias

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Viewing Publication 1 - 45 from 45

2023

Vision Transformer Adapter for Dense PredictionsZhe Chen, Yuchen Duan, Wenhai Wang, Junjun He, Tong Lu, Jifeng Dai, Yu Qiao. iclr 2023: [doi]

Neural Transformation Fields for Arbitrary-Styled Font GenerationBin Fu, Junjun He, Jianjun Wang, Yu Qiao. cvpr 2023: 22438-22447 [doi]

Artifact Restoration in Histology Images with Diffusion Probabilistic ModelsZhenqi He, Junjun He, Jin Ye, Yiqing Shen 0003. miccai 2023: 518-527 [doi]

Dual Relation Network for Scene Text RecognitionMing Li, Bin Fu, Han Chen, Junjun He, Yu Qiao 0001. tmm, 25:4094-4107, 2023. [doi]

StructToken: Rethinking Semantic Segmentation With Structural PriorFangjian Lin, Zhanhao Liang, Sitong Wu, Junjun He, Kai Chen, Shengwei Tian. tcsv, 33(10):5655-5663, October 2023. [doi]

A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object DetectionJianbo Liu, Junjun He, Yuanjie Zheng, Shuai Yi, Xiaogang Wang 0001, Hongsheng Li 0001. pami, 45(10):11390-11406, October 2023. [doi]

An Accurate Polyp Segmentation Framework via Feature Secondary FusionYanzhou Su, Qingsong Xie, Jin Ye, Junjun He, Jian Cheng 0003. isbi 2023: 1-5 [doi]

Revisiting Feature Propagation and Aggregation in Polyp SegmentationYanzhou Su, Yiqing Shen 0003, Jin Ye, Junjun He, Jian Cheng 0003. miccai 2023: 632-641 [doi]

Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical UseYanzhou Su, Changjian Deng, Zhongying Deng, Jin Ye, Junjun He, Jian Cheng 0003. isbi 2023: 1-5 [doi]

Accurate polyp segmentation through enhancing feature fusion and boosting boundary performanceYanzhou Su, Jian Cheng 0003, Chuqiao Zhong, Chengzhi Jiang, Jin Ye, Junjun He. ijon, 545:126233, 2023. [doi]

FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy imagesYanzhou Su, Jian Cheng 0003, Chuqiao Zhong, Yijie Zhang, Jin Ye, Junjun He, Jun Liu. bspc, 83:104699, May 2023. [doi]

Region-Aware Arbitrary-Shaped Text Detection With Progressive FusionQitong Wang, Bin Fu, Ming Li, Junjun He, Xi Peng 0005, Yu Qiao 0001. tmm, 25:4718-4729, 2023. [doi]

Fdinet: Feature-Decomposition-Interaction Networks for Retinal Vessel SegmentationYuncheng Yang, Jie Yang 0002, Junjun He, Yun Gu. isbi 2023: 1-5 [doi]

Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image SegmentationYuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu. miccai 2023: 674-683 [doi]

Self Pre-Training with Masked Autoencoders for Medical Image Classification and SegmentationLei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna. isbi 2023: 1-6 [doi]

2022

Dynamic Instance Domain AdaptationZhongying Deng, Kaiyang Zhou, Da Li 0001, Junjun He, Yi-Zhe Song, Tao Xiang. TIP, 31:4585-4597, 2022. [doi]

An LSM-Tree Index for Spatial DataJunjun He, HuaHui Chen. algorithms, 15(4):113, 2022. [doi]

Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window InferenceZiyan Huang, Haoyu Wang, Jin Ye, Jingqi Niu, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Lixu Gu, Junjun He. miccai 2022: 178-189 [doi]

Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosisDiping Song, Fei Li, Cheng Li, Jian-xiong, Junjun He, Xiulan Zhang, Yu Qiao 0001. cbm, 151(Part):106283, 2022. [doi]

Self Pre-training with Single-Scale Adapter for Left Atrial SegmentationCan Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding. miccai 2023: 24-35 [doi]

A More Design-Flexible Medical Transformer for Volumetric Image SegmentationXin You, Yun Gu, Junjun He, Hui Sun, Jie Yang 0002. miccai 2022: 62-71 [doi]

2021

Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image SegmentationCheng Li 0008, Jin Ye, Junjun He, Shanshan Wang, Lixu Gu, Yu Qiao 0001. isbi 2021: 571-574 [doi]

A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT ImagesZijie Chen, Cheng Li 0008, Junjun He, Jin Ye, Diping Song, Shanshan Wang 0002, Lixu Gu, Yu Qiao 0001. miccai 2021: 569-578 [doi]

Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classificationJunjun He, Cheng Li 0008, Jin Ye, Yu Qiao 0001, Lixu Gu. bspc, 67:102491, 2021. [doi]

Multi-label ocular disease classification with a dense correlation deep neural networkJunjun He, Cheng Li 0008, Jin Ye, Yu Qiao 0001, Lixu Gu. bspc, 63:102167, 2021. [doi]

Group Shift Pointwise Convolution for Volumetric Medical Image SegmentationJunjun He, Jin Ye, Cheng Li 0008, Diping Song, Wanli Chen, Shanshan Wang 0002, Lixu Gu, Yu Qiao 0001. miccai 2021: 48-58 [doi]

Deep Relation Transformer for Diagnosing Glaucoma With Optical Coherence Tomography and Visual Field FunctionDiping Song, Bin Fu, Fei Li, Jian-xiong, Junjun He, Xiulan Zhang, Yu Qiao 0001. tmi, 40(9):2392-2402, 2021. [doi]

2020

Tensor Low-Rank Reconstruction for Semantic SegmentationWanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu 0001. eccv 2020: 52-69 [doi]

Dynamic Sampling Network for Semantic SegmentationBin Fu, Junjun He, Zhengfu Zhang, Yu Qiao. AAAI 2020: 10794-10801 [doi]

Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and FusionJunjun He, Cheng Li, Jin Ye, Shanshan Wang, Yu Qiao, Lixu Gu. isbi 2020: 1258-1261 [doi]

Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus PhotographsCheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao 0001, Lixu Gu. isbi 2020: 1-4 [doi]

Learning to Predict Context-Adaptive Convolution for Semantic SegmentationJianbo Liu, Junjun He, Yu Qiao 0001, Jimmy S. Ren, Hongsheng Li. eccv 2020: 769-786 [doi]

EfficientFCN: Holistically-Guided Decoding for Semantic SegmentationJianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li. eccv 2020: 1-17 [doi]

MIA-Prognosis: A Deep Learning Framework to Predict Therapy ResponseJiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni. miccai 2020: 211-220 [doi]

Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image RecognitionJin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao 0001. eccv 2020: 649-665 [doi]

2019

2018

StripNet: Towards Topology Consistent Strip Structure SegmentationGuoxiang Qu, Wenwei Zhang, Zhe Wang, Xing Dai, Jianping Shi, Junjun He, Fei Li, Xiulan Zhang, Yu Qiao. mm 2018: 283-291 [doi]

2014

An Eliminating Method to Improve Localization AccuracyLiangyin Chen, Bingshu Yan, Junjun He, Jingyu Zhang, Wen Chen, Yushi Jiang, Yan Liu, Qian Luo, Baoqiu Wang. ijdsn, 2014, 2014. [doi]

2013

Comparison of MODIS-based models for retrieving suspended particulate matter concentrations in Poyang Lake, ChinaGuofeng Wu, Lijuan Cui, Junjun He, Hongtao Duan, Teng Fei, Yaolin Liu. aeog, 24:63-72, 2013. [doi]

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