3 papers
cs.CV2024
Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective
Shenghao Xie, Wenqiang Zu, Mingyang Zhao +6
Autoregression in large language models (LLMs) has shown impressive scalability by unifying all language tasks into the next token prediction paradigm. Recently, there is a growing…
cs.CV2024
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation
Ruohua Shi, Qiufan Pang, Lei Ma +3
Electron microscopy (EM) imaging offers unparalleled resolution for analyzing neural tissues, crucial for uncovering the intricacies of synaptic connections and neural processes fu…
cs.CV2024
Amodal Segmentation for Laparoscopic Surgery Video Instruments
Ruohua Shi, Zhaochen Liu, Lingyu Duan +1
Segmentation of surgical instruments is crucial for enhancing surgeon performance and ensuring patient safety. Conventional techniques such as binary, semantic, and instance segmen…