Combining Restoring Array and Logarithmic Dividers into an Approximate Hybrid Design. - Weiqiang Liu 001; Jing Li 117; Tao Xu; Chenghua Wang; Paolo Montuschi; Fabrizio Lombardi (ARITH, 2018)

Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization. - Dongze Lian; Jing Li 117; Jia Zheng 002; Weixin Luo; Shenghua Gao (CVPR, 2019)

Structured3D: A Large Photo-Realistic Dataset for Structured 3D Modeling. - Jia Zheng 002; Junfei Zhang; Jing Li 117; Rui Tang; Shenghua Gao; Zihan Zhou 001 (ECCV (9), 2020)

Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting. - Yanyan Fang; Shenghua Gao; Jing Li 117; Weixin Luo; Linfang He; Bo Hu 002 (Neurocomputing, 2020)

Crowd Counting With Partial Annotations in an Image. - Yanyu Xu; Ziming Zhong; Dongze Lian; Jing Li 117; Zhengxin Li; Xinxing Xu; Shenghua Gao (ICCV, 2021)

CTP-Net For Cross-Domain Trajectory Prediction. - Pingxuan Huang; Yanyan Fang; Bo Hu 002; Shenghua Gao; Jing Li 117 (CoRR, 2021)

Cross-domain Trajectory Prediction with CTP-Net. - Pingxuan Huang; Zhenhua Cui; Jing Li 117; Shenghua Gao; Bo Hu 002; Yanyan Fang (CICAI (1), 2022)

Locating and Counting Heads in Crowds With a Depth Prior. - Dongze Lian; Xianing Chen; Jing Li 117; Weixin Luo; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Design of Unsigned Approximate Hybrid Dividers Based on Restoring Array and Logarithmic Dividers. - Weiqiang Liu 001; Tao Xu; Jing Li 117; Chenghua Wang; Paolo Montuschi; Fabrizio Lombardi (IEEE Trans. Emerg. Top. Comput., 2022)

Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images. - Kang Zhou 001; Jing Li 117; Weixin Luo; Zhengxin Li; Jianlong Yang; Huazhu Fu; Jun Cheng 003; Jiang Liu 001; Shenghua Gao (IEEE Trans. Medical Imaging, 2022)

Memorizing Structure-Texture Correspondence for Image Anomaly Detection. - Kang Zhou 001; Jing Li 117; Yuting Xiao; Jianlong Yang; Jun Cheng 003; Wen Liu 003; Weixin Luo; Jiang Liu 001; Shenghua Gao (IEEE Trans. Neural Networks Learn. Syst., 2022)

P2SDF for Neural Indoor Scene Reconstruction. - Jing Li 117; Jinpeng Yu 002; Ruoyu Wang 014; Zhengxin Li; Zhengyu Zhang; Lina Cao; Shenghua Gao (CoRR, 2023)

RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation. - Yiqun Zhao; Zibo Zhao; Jing Li 117; Sixun Dong; Shenghua Gao (3DV, 2024)

MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis. - Ziming Zhong; Yanyu Xu; Jing Li 117; Jiale Xu; Zhengxin Li; Chaohui Yu; Shenghua Gao (ECCV (77), 2024)

TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding. - Shuo Wang; Jing Li 117; Zibo Zhao; Dongze Lian; Binbin Huang; Xiaomei Wang; Zhengxin Li; Shenghua Gao (WACV, 2024)

MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis. - Ziming Zhong; Yanxu Xu; Jing Li 117; Jiale Xu; Zhengxin Li; Chaohui Yu; Shenghua Gao (CoRR, 2024)

Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation. - Jing Li 117; Kang Zhou 001; Shenhan Qian; Wen Li 001; Lixin Duan; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Pseudo-Plane Regularized Signed Distance Field for Neural Indoor Scene Reconstruction. - Jing Li 117; Jinpeng Yu 002; Ruoyu Wang 014; Shenghua Gao (Int. J. Comput. Vis., 2025)