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2020 – today
- 2024
[j8]Sicheng Zhu
, Luping Ji, Jiewen Zhu, Shengjia Chen, Haohao Ren:
Spatio-temporal fusion with motion masks for the moving small target detection from remote-sensing videos. Eng. Appl. Artif. Intell. 138: 109362 (2024)- [j7]Sicheng Zhu, Luping Ji, Jiewen Zhu, Shengjia Chen, Weiwei Duan:
TMP: Temporal Motion Perception with spatial auxiliary enhancement for moving Infrared dim-small target detection. Expert Syst. Appl. 255: 124731 (2024) - [j6]Shengjia Chen, Luping Ji, Sicheng Zhu, Mao Ye, Haohao Ren, Yongsheng Sang:
Toward Dense Moving Infrared Small Target Detection: New Datasets and Baseline. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j5]Shengjia Chen, Luping Ji, Jiewen Zhu, Mao Ye, Xiaoyong Yao:
SSTNet: Sliced Spatio-Temporal Network With Cross-Slice ConvLSTM for Moving Infrared Dim-Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j4]Weiwei Duan, Luping Ji, Shengjia Chen, Sicheng Zhu, Mao Ye:
Triple-Domain Feature Learning With Frequency-Aware Memory Enhancement for Moving Infrared Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [i5]Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz:
MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging. CoRR abs/2405.02784 (2024) - [i4]Weiwei Duan, Luping Ji, Shengjia Chen, Sicheng Zhu, Mao Ye:
Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection. CoRR abs/2406.06949 (2024) - [i3]Gabriele Campanella, Shengjia Chen, Ruchika Verma, Jennifer Zeng, Aryeh Stock, Matt Croken, Brandon Veremis, Abdulkadir Elmas, Kuan-Lin Huang, Ricky Kwan, Jane Houldsworth, Adam Schoenfeld, Chad M. Vanderbilt:
A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models. CoRR abs/2407.06508 (2024) - [i2]Shengjia Chen, Gabriele Campanella, Abdulkadir Elmas, Aryeh Stock, Jennifer Zeng, Alexandros D. Polydorides, Adam Schoenfeld, Kuan-Lin Huang, Jane Houldsworth, Chad M. Vanderbilt, Thomas J. Fuchs:
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective. CoRR abs/2407.07841 (2024) - 2023
- [j3]Shengjia Chen, Xiwei Yang, Zhixin Li:
Improving semantic segmentation with knowledge reasoning network. J. Vis. Commun. Image Represent. 96: 103923 (2023) - [c9]Shengjia Chen, Jiewen Zhu, Luping Ji, Hongjun Pan, Yuhao Xu:
AugTarget Data Augmentation for Infrared Small Target Detection. ICASSP 2023: 1-5 - [c8]Jiewen Zhu, Shengjia Chen, Lexiao Li, Luping Ji:
Sanet: Spatial Attention Network with Global Average Contrast Learning for Infrared Small Target Detection. ICASSP 2023: 1-5 - 2022
- [c7]Shengjia Chen, Nikunj Gupta, Woodward B. Galbraith, Valay Shah, Jacopo Cirrone:
Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms. ICBBE 2022: 147-154 - [i1]Shengjia Chen, Nikunj Gupta, Woodward B. Galbraith, Valay Shah, Jacopo Cirrone:
Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms. CoRR abs/2210.08016 (2022) - 2021
- [j2]Yu Quan, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma:
Joint deep separable convolution network and border regression reinforcement for object detection. Neural Comput. Appl. 33(9): 4299-4314 (2021) - [c6]Shengjia Chen, Zhixin Li, Xiwei Yang:
Knowledge Reasoning for Semantic Segmentation. ICASSP 2021: 2340-2344 - 2020
- [j1]Shengjia Chen, Zhixin Li, Zhenjun Tang:
Relation R-CNN: A Graph Based Relation-Aware Network for Object Detection. IEEE Signal Process. Lett. 27: 1680-1684 (2020) - [c5]Feicheng Huang, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma:
Image Captioning with Internal and External Knowledge. CIKM 2020: 535-544 - [c4]Jiamin Wu, Shengjia Chen, Wenbin Zhou, Ningya Wang, Ziling Fan:
Evaluation of Feature Selection Methods using Bagging and Boosting Ensemble Techniques on High Throughput Biological Data. ICBET 2020: 170-175 - [c3]Ningya Wang, Wenbin Zhou, Jiamin Wu, Shengjia Chen, Ziling Fan:
Comparison of Penalty-based Feature Selection Approach on High Throughput Biological Data. ICBET 2020: 176-183 - [c2]Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma:
Improving Object Detection with Relation Mining Network. ICDM 2020: 52-61 - [c1]Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma:
Object Detection Using Dual Graph Network. ICPR 2020: 3280-3287
Coauthor Index
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