Search Results for author: Zhixuan Li

Found 8 papers, 0 papers with code

BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion

no code implementations3 Jan 2024 Zhaochen Liu, Zhixuan Li, Tingting Jiang

We present a novel solution to tackle this problem by introducing a directed expansion approach from visible masks to corresponding amodal masks.

Amodal Instance Segmentation Segmentation

MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario

no code implementations ICCV 2023 Zhixuan Li, Weining Ye, Juan Terven, Zachary Bennett, Ying Zheng, Tingting Jiang, Tiejun Huang

To bridge this gap, we propose a new task called Multi-view Amodal Instance Segmentation (MAIS) and introduce the MUVA dataset, the first MUlti-View AIS dataset that takes the shopping scenario as instantiation.

Amodal Instance Segmentation Segmentation +1

2D Amodal Instance Segmentation Guided by 3D Shape Prior

no code implementations European Conference on Computer Vision (ECCV) 2022 Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang

However, masks in 2D space are only some observations and samples from the 3D model in different viewpoints and thus can not represent the real complete physical shape of the instances.

3D Reconstruction Amodal Instance Segmentation +2

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