Qing Lian

Qing Lian (连庆)

I am Qing Lian, a Ph.D student in HKUST StatML Group at The Kong University of Science and Technology supervised by Prof. Tong Zhang. Prior to this, I received my Bachelor degree from the University of Electronic Science and Technology of China.

My research interests lie in computer vision and machine learning, particularly focusing on 3D vision, uncertainty quantification and their applications in autonomous driving.

Email / Google Scholar / Github

Publications

	Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field Leheng Li, Qing Lian Luozhou Wang, Ningning Ma, Ying-Cong Chen, CVPR ,2023 PDF/ Code
	MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones Tai Wang, Qing Lian Chenming Zhu, Xinge Zhu, Wenwei Zhang Arxiv , 2021 abs.2207.12716 (Waymo Camera-only Challenge solution 2nd place report.) PDF/ Code
	Semi-Supervised Monocular 3D Object Detection by Multi-View Consistency Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang ECCV, 2022 PDF/ Code
	MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection Qing Lian, Peiliang Li, Xiaozhi Chen CVPR, 2022
	Exploring Geometry Consistency for Monocular 3D Object Detection Qing Lian Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang CVPR, 2022 arXiv
	An Empirical Study of Invariant Risk Minimization on Deep Models Yong Lin, Qing Lian, Tong Zhang ICML workshop on UDL (Uncertainty & Robustness in Deep Learning), 2021 PDF/ Code
	Disentangled Generative Causal Representation Learning Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang JMLR 2021 PDF/ Code
	Known-class aware self-ensemble for open set domain adaptation Qing Lian, Wen Li, Lin Chen, Lixin Duan Arxiv 2019 PDF/ Code
	Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach Qing Lian, Fengmao Lv, Lixin Duan, Boqing Gong ICCV 2019 PDF/ Code