Yunmu Huang — accepted AI-conference papers

2022

AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection

Yipeng Gao, Lingxiao Yang, Yunmu Huang, Song Xie, Shiyong Li, Wei-Shi Zheng

ECCV 2022poster

"Under the domain shift, cross-domain few-shot object detection aims to adapt object detectors in the target domain with a few annotated target data. There exists two significant challenges: (1) Highly insufficient target domain data; (2) Potential over-adaptation and misleading caused by inappropri…

Cited by 38 Source ↗PDF ↗code ↗Scholar ↗

2019

Deep Surface Normal Estimation With Hierarchical RGB-D Fusion

Jin Zeng, Yanfeng Tong, Yunmu Huang, Qiong Yan, Wenxiu Sun, Jing Chen +1

CVPR 2019poster

The growing availability of commodity RGB-D cameras has boosted the applications in the field of scene understanding. However, as a fundamental scene understanding task, surface normal estimation from RGB-D data lacks thorough investigation. In this paper, a hierarchical fusion network with adaptive…

Cited by 86 PDF ↗code ↗Scholar ↗