Publications (4)
Unsupervised Defect Detection for Surgical Instruments
Joseph Huang, Yichi Zhang, Jingxi Yu +6
Ensuring the safety of surgical instruments requires reliable detection of visual defects. However, manual inspection is prone to error, and existing automated defect detection met…
In-Context Compositional Learning via Sparse Coding Transformer
Wei Chen, Jingxi Yu, Zichen Miao +1
Transformer architectures have achieved remarkable success across language, vision, and multimodal tasks, and there is growing demand for them to address in-context compositional l…
Unsupervised Severely Deformed Mesh Reconstruction (DMR) from a Single-View Image
Jie Mei, Jingxi Yu, Suzanne Romain +4
Much progress has been made in the supervised learning of 3D reconstruction of rigid objects from multi-view images or a video. However, it is more challenging to reconstruct sever…
Sparse Fine-Tuning of Transformers for Generative Tasks
Wei Chen, Jingxi Yu, Zichen Miao +1
Large pre-trained transformers have revolutionized artificial intelligence across various domains, and fine-tuning remains the dominant approach for adapting these models to downst…