Wenjie Yang
Orcid: 0000-0001-7483-1817Affiliations:
- University of Chinese Academy of SciencesSchool of Artificial Intelligence, Beijing, China
- Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent System and Engineering, Beijing, China
According to our database1,
Wenjie Yang authored at least 15 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
COSOS-1k: A Benchmark Dataset and Occlusion-Aware Uncertainty Learning for Multi-View Video Object Detection.
IEEE Trans. Image Process., 2026
Seeing in Double: Dual-Granularity BEV Segmentation via Mamba-Driven Alignment and Polar-Decoupled Experts.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Exploration via Embracing Diversity in Reinforcement Learning for Sparse-Reward Procedurally-Generated Tasks.
IEEE Trans. Syst. Man Cybern. Syst., September, 2025
Playing to the Strengths of High- and Low-Resolution Cues for Ultra-High Resolution Image Segmentation.
IEEE Robotics Autom. Lett., August, 2025
IEEE Signal Process. Lett., 2025
Learning differentiable categorical regions with Gumbel-Softmax for person re-identification.
Neurocomputing, 2025
Dual prototypes contrastive learning based semi-supervised segmentation method for intelligent medical applications.
Eng. Appl. Artif. Intell., 2025
Collaboration Wins More: Dual-Modal Collaborative Attention Reinforcement for Mitigating Large Vision Language Models Hallucination.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Keep the Balance: A Parameter-Efficient Symmetrical Framework for RGB+X Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
2020
IEEE Trans. Image Process., 2020
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method.
CoRR, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
2019
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018