Bowen Shi
Orcid: 0000-0002-9169-7055Affiliations:
- Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China
According to our database1,
Bowen Shi
authored at least 19 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models.
CoRR, July, 2025
IEEE Trans. Multim., 2025
Artif. Intell., 2025
2024
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
UMG-CLIP: A Unified Multi-granularity Vision Generalist for Open-World Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
ITS-Frame: A Framework for Multi-Aspect Analysis in the Field of Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2019
Deep Neural Network-Based Algorithm Approximation via Multivariate Polynomial Regression.
Proceedings of the 2019 IEEE Global Communications Conference, 2019