3 papers
cs.CV2024
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning
Suyi Li, Chenyi Jiang, Shidong Wang +3
Compositional Zero-shot Learning (CZSL) aims to identify novel compositions via known attribute-object pairs. The primary challenge in CZSL tasks lies in the significant discrepanc…
cs.CV2023
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation
Ke Fan, Jingshi Lei, Xuelin Qian +5
Video amodal segmentation is a particularly challenging task in computer vision, which requires to deduce the full shape of an object from the visible parts of it. Recently, some s…
cs.RO2023
Optical flow-based vascular respiratory motion compensation
Keke Yang, Zheng Zhang, Meng Li +3
This paper develops a new vascular respiratory motion compensation algorithm, Motion-Related Compensation (MRC), to conduct vascular respiratory motion compensation by extrapolatin…