Yiming Mao — accepted AI-conference papers

2023

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

Lue Fan, Yuxue Yang, Yiming Mao, Feng Wang, Yuntao Chen, Naiyan Wang +1

ICCV 2023oral

This paper aims for high-performance offline LiDAR-based 3D object detection. We first observe that experienced human annotators annotate objects from a track-centric perspective. They first label objects in a track with clear shapes, and then leverage the temporal coherence to infer the annotations…

Cited by 25 PDF ↗code ↗Scholar ↗

2020

Controllable Person Image Synthesis With Attribute-Decomposed GAN

Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian

CVPR 2020oral

This paper introduces the Attribute-Decomposed GAN, a novel generative model for controllable person image synthesis, which can produce realistic person images with desired human attributes (e.g., pose, head, upper clothes and pants) provided in various source inputs. The core idea of the proposed m…

Cited by 309 PDF ↗Scholar ↗