Search Results for author: Zhaochong An

Found 5 papers, 5 papers with code

Rethinking Few-shot 3D Point Cloud Semantic Segmentation

2 code implementations1 Mar 2024 Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc van Gool, Serge Belongie

The former arises from non-uniform point sampling, allowing models to distinguish the density disparities between foreground and background for easier segmentation.

Few-shot 3D Point Cloud Semantic Segmentation Segmentation +1

Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation

1 code implementation14 Sep 2023 Zhaochong An, Guolei Sun, Zongwei Wu, Hao Tang, Luc van Gool

Modern approaches have proved the huge potential of addressing semantic segmentation as a mask classification task which is widely used in instance-level segmentation.

Classification Segmentation +2

Object Segmentation by Mining Cross-Modal Semantics

1 code implementation17 May 2023 Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte

In this paper, we propose a novel approach by mining the Cross-Modal Semantics to guide the fusion and decoding of multimodal features, with the aim of controlling the modal contribution based on relative entropy.

Object Segmentation +2

Indiscernible Object Counting in Underwater Scenes

1 code implementation CVPR 2023 Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc van Gool

We further advance the frontier of this field by systematically studying a new challenge named indiscernible object counting (IOC), the goal of which is to count objects that are blended with respect to their surroundings.

Benchmarking Object +2

EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective

1 code implementation18 Sep 2020 Zhaochong An, Bozhou Chen, Houde Quan, Qihui Lin, Hongzhi Wang

To solve this problem, in this paper, we propose a general framework, named EM-RBR(embedding and rule-based reasoning), capable of combining the advantages of reasoning based on rules and the state-of-the-art models of embedding.

Knowledge Graph Completion Link Prediction +1

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