Jing Li's homepage

Jing Li

I am now an AIGC algorithm engineer at Xiaohongshu, also known as RED. I got my Ph.D. degree from School of Information Science and Technology at ShanghaiTech University in 2023, advised by Prof. Shenghua Gao.

I am interested in computer vision and deep learning, especially AIGC, i.e., image generation, 3D generation and video generation. I was interested in scene understanding, scene reconstruction and anomaly detection.

Before entering ShanghaiTech University without entrance examination, I received my B.Eng. degree from Nanjing University of Aeronautics and Astronautics in 2018.

If you are intersted in finding a job or an internship in Xiaohongshu, feel free to contact me.

Email / CV / Google Scholar / Github / Bilibili

Research (* = co-first author).

	Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation Jing Li, Kang Zhou, Shenhan Qian, Wen Li, Lixin Duan, Shenghua Gao IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 paper
	Memorizing Structure-texture Correspondence for Image Anomaly Detection Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2021 paper
	Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Jun Cheng, Jiang Liu, Shenghua Gao IEEE Transactions on Medical Imaging (T-MI), 2021 paper
	Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019 paper / code
	RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation Yiqun Zhao, Zibo Zhao, Jing Li, Sixun Dong, Shenghua Gao International Conference on 3D Vision (3DV), 2024 paper / code
	TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding Shuo Wang, Jing Li, Zibo Zhao, Dongze Lian, Binbin Huang, Xiaomei Wang, Zhengxin Li, Shenghua Gao IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 paper / code
	Locating and Counting Heads in Crowds With a Depth Prior Dongze Lian, Xianing Chen, Jing Li, Weixin Luo, Shenghua Gao IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021 paper / code
	Structured3D: A Large Photo-Realistic Dataset for Structured 3D Modeling Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao Zihan Zhou European Conference on Computer Vision (ECCV), 2020 paper / code
	Crowd counting with partial annotations in an image Yanyu Xu, Ziming Zhong, Dongze Lian, Jing Li, Zhengxin Li, Xinxing Xu, Shenghua Gao IEEE International Conference on Computer Vision (ICCV), 2021 paper / code
	Multi-Level Feature Fusion Based Locality-Constrained Spatial Transformer Network for Video Crowd Counting Yanyan Fang, Shenghua Gao, Jing Li, Weixin Luo, Linfang He, Bo Hu Neurocomputing , 2019 paper

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