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Shi Chen 0001
Person information
- affiliation (PhD 2023): University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
Other persons with the same name
- Shi Chen — disambiguation page
- Shi Chen 0002 — Peking Union Medical College Hospital, Department of Endocrinology, Beijing, China (and 1 more)
- Shi Chen 0003 — University of Wisconsin-Madison, Department of Mathematics, Madison, WI, USA
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2020 – today
- 2024
- [j4]Xianyu Chen, Jinhui Yang, Shi Chen, Louis Wang, Ming Jiang, Qi Zhao:
Every Problem, Every Step, All in Focus: Learning to Solve Vision-Language Problems With Integrated Attention. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4720-4735 (2024) - [j3]Shi Chen, Ming Jiang, Qi Zhao:
Deep Learning to Interpret Autism Spectrum Disorder Behind the Camera. IEEE Trans. Cogn. Dev. Syst. 16(5): 1803-1813 (2024) - 2023
- [c13]Shi Chen, Nachiappan Valliappan, Shaolei Shen, Xinyu Ye, Kai Kohlhoff, Junfeng He:
Learning from Unique Perspectives: User-aware Saliency Modeling. CVPR 2023: 2701-2710 - [c12]Shi Chen, Qi Zhao:
Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning. CVPR 2023: 6736-6745 - [c11]Yifeng Zhang, Shi Chen, Qi Zhao:
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge. ICCV 2023: 2573-2583 - [c10]Shi Chen, Qi Zhao, Lei Zhang, Yan Wang:
A Fully Integrated W-Band Four-Channel Silicon-Based Radiometer Array in 65-nm CMOS. ISCAS 2023: 1-4 - [c9]Weiping Wu, Shi Chen, Xun Bao, Lei Zhang, Yan Wang:
An Ultra-Wideband Amplifier With Compact Magnetically Coupled Feedback Gain Cell. NEWCAS 2023: 1-4 - [c8]Shi Chen, Ming Jiang, Qi Zhao:
What Do Deep Saliency Models Learn about Visual Attention? NeurIPS 2023 - [i6]Shi Chen, Qi Zhao:
Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning. CoRR abs/2303.10482 (2023) - [i5]Shi Chen, Ming Jiang, Qi Zhao:
What Do Deep Saliency Models Learn about Visual Attention? CoRR abs/2310.09679 (2023) - 2022
- [j2]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
Attention in Reasoning: Dataset, Analysis, and Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7310-7326 (2022) - [c7]Shi Chen, Qi Zhao:
REX: Reasoning-aware and Grounded Explanation. CVPR 2022: 15565-15574 - [c6]Jinhui Yang, Xianyu Chen, Ming Jiang, Shi Chen, Louis Wang, Qi Zhao:
VisualHow: Multimodal Problem Solving. CVPR 2022: 15606-15616 - [i4]Shi Chen, Qi Zhao:
REX: Reasoning-aware and Grounded Explanation. CoRR abs/2203.06107 (2022) - [i3]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
Attention in Reasoning: Dataset, Analysis, and Modeling. CoRR abs/2204.09774 (2022) - 2021
- [c5]Shi Chen, Qi Zhao:
Attention to Action: Leveraging Attention for Object Navigation. BMVC 2021: 295 - 2020
- [c4]Ming Jiang, Shi Chen, Jinhui Yang, Qi Zhao:
Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention. CVPR 2020: 2977-2986 - [c3]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
AiR: Attention with Reasoning Capability. ECCV (1) 2020: 91-107 - [i2]Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao:
AiR: Attention with Reasoning Capability. CoRR abs/2007.14419 (2020)
2010 – 2019
- 2019
- [j1]Shi Chen, Qi Zhao:
Shallowing Deep Networks: Layer-Wise Pruning Based on Feature Representations. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 3048-3056 (2019) - [c2]Shi Chen, Qi Zhao:
Attention-Based Autism Spectrum Disorder Screening With Privileged Modality. ICCV 2019: 1181-1190 - [i1]Shi Chen, Qi Zhao:
Boosted Attention: Leveraging Human Attention for Image Captioning. CoRR abs/1904.00767 (2019) - 2018
- [c1]Shi Chen, Qi Zhao:
Boosted Attention: Leveraging Human Attention for Image Captioning. ECCV (11) 2018: 72-88
Coauthor Index
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