Wondimu Dikubab — accepted AI-conference papers

2023

You Only Look Bottom-Up for Monocular 3D Object Detection

Kaixin Xiong, Dingyuan Zhang, Dingkang Liang, Zhe Liu, Hongcheng Yang, Wondimu Dikubab +2

RA-L 2023

Monocular 3D Object Detection is an essential task for autonomous driving. Meanwhile, accurate 3D object detection from pure images is very challenging due to the loss of depth information. Most existing image-based methods infer objects' location in 3D space based on their 2D sizes on the image pla

Cited by 5 Source ↗Scholar ↗

2022

Syntax-Aware Network for Handwritten Mathematical Expression Recognition

Ye Yuan, Xiao Liu, Wondimu Dikubab, Hui Liu, Zhilong Ji, Zhongqin Wu +1

CVPR 2022poster

Handwritten mathematical expression recognition (HMER) is a challenging task that has many potential applications. Recent methods for HMER have achieved outstanding performance with an encoder-decoder architecture. However, these methods adhere to the paradigm that the prediction is made "from one c…

Cited by 98 PDF ↗Scholar ↗