| Shallowing deep networks: Layer-wise pruning based on feature representations S Chen, Q Zhao IEEE transactions on pattern analysis and machine intelligence 41 (12), 3048 …, 2018 | 131 | 2018 |
| Boosted attention: Leveraging human attention for image captioning S Chen, Q Zhao Proceedings of the European conference on computer vision (ECCV), 68-84, 2018 | 63 | 2018 |
| Attention-based autism spectrum disorder screening with privileged modality S Chen, Q Zhao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 47 | 2019 |
| Air: Attention with reasoning capability S Chen, M Jiang, J Yang, Q Zhao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 32 | 2020 |
| Fantastic answers and where to find them: Immersive question-directed visual attention M Jiang, S Chen, J Yang, Q Zhao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 21 | 2020 |
| Rex: Reasoning-aware and grounded explanation S Chen, Q Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 20 | 2022 |
| VisualHow: Multimodal problem solving J Yang, X Chen, M Jiang, S Chen, L Wang, Q Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 5 | 2022 |
| Divide and conquer: answering questions with object factorization and compositional reasoning S Chen, Q Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Toward multi-granularity decision-making: Explicit visual reasoning with hierarchical knowledge Y Zhang, S Chen, Q Zhao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Learning from unique perspectives: User-aware saliency modeling S Chen, N Valliappan, S Shen, X Ye, K Kohlhoff, J He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Attention in reasoning: Dataset, analysis, and modeling S Chen, M Jiang, J Yang, Q Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7310 …, 2021 | 3 | 2021 |
| What Do Deep Saliency Models Learn about Visual Attention? S Chen, M Jiang, Q Zhao Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Every Problem, Every Step, All In Focus: Learning to Solve Vision-Language Problems with Integrated Attention X Chen, J Yang, S Chen, L Wang, M Jiang, Q Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 1 | 2024 |
| Attention to action: Leveraging attention for object navigation S Chen, Q Zhao The British Machine Vision Conference, 2021 | 1 | 2021 |
| AiR: Attention with Reasoning Capability M Jiang, S Chen, J Yang, Q Zhao European Conference on Computer Vision, 2020 | 1 | 2020 |
| Rapid, concerted switching of the neural code in inferotemporal cortex Y Shi, D Bi, JK Hesse, FF Lanfranchi, S Chen, DY Tsao bioRxiv, 2023.12. 06.570341, 2023 | | 2023 |
| Learning from Unique Perspectives: User-aware Saliency Modeling (Supplementary Materials) S Chen, N Valliappan, S Shen, X Ye, K Kohlhoff, J He | | |
| Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning (Supplementary Materials) S Chen, Q Zhao | | |
| Supplementary Materials for VisualHow: Multimodal Problem Solving J Yang, X Chen, M Jiang, S Chen, L Wang, Q Zhao | | |
| REX: Reasoning-aware and Grounded Explanation (Supplementary Materials) S Chen, Q Zhao | | |
Qi (Catherine) ZhaoAssociate Professor, University of MinnesotaVerified email at cs.umn.edu
