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Yijie Li

Research Assistant
Robotics Institute
Carnegie Mellon University, Pittsburgh, PA


I am a Research Assistant at Robotics Institute, Carnegie Mellon University, advised by Prof. László A. Jeni. I earned my Master’s degree in Artificial Intelligence at Northwestern University. Previously, I received my Bachelor’s degree in Software Engineering from University College Dublin (UCD) in July 2023.

I was a research intern at Tsinghua University in 2022~2023, focusing on generative adversarial networks (GAN), advised by Prof. Yongjin Liu. Before that, I was working on several topics related to computer vision, supervised by Dr. Soumyabrata Dev at UCD.

My research interests lie in 2D/3D Computer Vision and Natural Language Processing, including efficient semantic segmentation models, remote sensing, human motion capture, and VLMs.

news

Mar 2, 2025 Our paper Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration is accepted by IROS 2025 [Oral Presentation].
Jan 14, 2025 Research assistant at RI, Carnegie Mellon University, advised by Prof. László A. Jeni.
Jul 31, 2024 Our paper CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement is accepted by the British Machine Vision Conference (BMVC) 2024.
Jun 18, 2024 Visiting student at RI, Carnegie Mellon University, advised by Prof. László A. Jeni.
Sep 3, 2023 Graduate student (MSc in Artificial Intelligence) at Northwestern University.
Oct 16, 2022 Our paper SYGNet: A SVD-YOLO based GhostNet for Real-time Driving Scene Parsing is accepted by IEEE International Conference on Image Processing (ICIP) 2022.
Jan 1, 2022 Research intern at Tsinghua University, advised by Prof. Yongjin Liu.
Mar 22, 2021 Machine learning research intern at University College Dublin, advised by Dr. Soumyabrata Dev.

selected publications

  1. CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation
    Yijie Li, Hewei Wang, Jinfeng Xu, and 4 more authors
    arXiv preprint arXiv:2501.15389, 2025
  2. DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation
    Yijie Li, Hewei Wang, Jinfeng Xu, and 4 more authors
    arXiv preprint arXiv:2501.15385, 2025
  3. ICLRW
    Segregation and Context Aggregation Network for Real-time Cloud Segmentation
    Yijie Li, Hewei Wang, Jiayi Zhang, and 5 more authors
    arXiv preprint arXiv:2504.14178, 2025
  4. KDD
    MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
    Jinfeng Xu, Zheyu Chen, Jinze Li, and 6 more authors
    arXiv preprint arXiv:2505.16665, 2025
  5. IROS
    Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration
    Jinjiang You, Hewei Wang, Yijie Li, and 7 more authors
    arXiv preprint arXiv:2503.00737, 2025
  6. BMVC
    CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement
    Yijie Li, Hewei Wang, and Aggelos Katsaggelos
    In 35th British Machine Vision Conference (BMVC), 2024
  7. UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation
    Yijie Li, Hewei Wang, Shaofan Wang, and 3 more authors
    In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
  8. DAANet: Dual Attention Aggregating Network for Salient Object Detection
    Yijie Li, Hewei Wang, Zhenqi Li, and 3 more authors
    In 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2023
  9. ICIP
    SYGNet: A SVD-YOLO based GhostNet for Real-time Driving Scene Parsing
    Hewei Wang, Bolun Zhu, Yijie Li, and 4 more authors
    In 2022 IEEE International Conference on Image Processing (ICIP), 2022