Zhaochen Liu

2 accepted papers

2025

Towards Efficient Foundation Model for Zero-shot Amodal Segmentation

Zhaochen Liu, Limeng Qiao, Xiangxiang Chu, Lin Ma, Tingting Jiang

CVPR 2025poster

Aiming to predict the complete shape of partially occluded objects, amodal segmentation is an important capacity towards visual intelligence. In order to promote the practicability, zero-shot foundation model competent for the open world gains growing attention in this field. Nevertheless, prior mod…

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2024

BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion

Zhaochen Liu, Zhixuan Li, Tingting Jiang

AAAI 2024technical

Perceiving the complete shape of occluded objects is essential for human and machine intelligence. While the amodal segmentation task is to predict the complete mask of partially occluded objects, it is time-consuming and labor-intensive to annotate the pixel-level ground truth amodal masks. Box-lev…

Cited by 6 Source ↗PDF ↗Scholar ↗