Jilin Mei

According to our database, Jilin Mei authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

PHD-NAS: Preserving helpful data to promote Neural Architecture Search.

Shun Lu, Yu Hu, Longxing Yang, Jilin Mei, Zihao Sun, Jianchao Tan, Chengru Song

Neurocomputing, 2024

2023

Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search.

Longxing Yang, Yanxin Fu, Shun Lu, Zihao Sun, Jilin Mei, Wenxiao Zhao, Yu Hu

Neural Networks, November, 2023

PMR-CNN: Prototype Mixture R-CNN for Few-Shot Object Detection.

Jiancong Zhou, Jilin Mei, Haoyu Li, Yu Hu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

M2F2-Net: Multi-Modal Feature Fusion for Unstructured Off-Road Freespace Detection.

Hongliang Ye, Jilin Mei, Yu Hu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Generalized Few-shot Semantic Segmentation for LiDAR Point Clouds.

Pengze Wu, Jilin Mei, Xijun Zhao, Yu Hu

IROS, 2023

Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving.

Jilin Mei, Junbao Zhou, Yu Hu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Zero-shot Object Detection Based on Dynamic Semantic Vectors.

Haoyu Li, Jilin Mei, Jiancong Zhou, Yu Hu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS.

Zihao Sun, Yu Sun, Longxing Yang, Shun Lu, Jilin Mei, Wenxiao Zhao, Yu Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PA&DA: Jointly Sampling PAth and DAta for Consistent NAS.

Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

STC-NAS: Fast neural architecture search with source-target consistency.

Zihao Sun, Yu Hu, Longxing Yang, Shun Lu, Jilin Mei, Yinhe Han, Xiaowei Li

Neurocomputing, 2022

Searching for BurgerFormer with Micro-Meso-Macro Space Design.

Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yinhe Han, Xiaowei Li

Proceedings of the International Conference on Machine Learning, 2022

AGNAS: Attention-Guided Micro and Macro-Architecture Search.

Zihao Sun, Yu Hu, Shun Lu, Longxing Yang, Jilin Mei, Yinhe Han, Xiaowei Li

Proceedings of the International Conference on Machine Learning, 2022

2021

DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search.

Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Yiming Zeng, Xiaowei Li

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

DDSAS: Dynamic and Differentiable Space-Architecture Search.

Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yiming Zeng, Zhiping Shi, Yinhe Han, Xiaowei Li

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Incorporating Human Domain Knowledge in 3-D LiDAR-Based Semantic Segmentation.

Jilin Mei, Huijing Zhao

IEEE Trans. Intell. Veh., 2020

Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-Supervised Learning.

Jilin Mei, Biao Gao, Donghao Xu, Wen Yao, Xijun Zhao, Huijing Zhao

IEEE Trans. Intell. Transp. Syst., 2020

Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene.

Jilin Mei, Huijing Zhao

CoRR, 2020

SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances.

Yancheng Pan, Biao Gao, Jilin Mei, Sibo Geng, Chengkun Li, Huijing Zhao

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

Incorporating Human Domain Knowledge in 3D LiDAR-based Semantic Segmentation.

Jilin Mei, Huijing Zhao

CoRR, 2019

Supervised Learning for Semantic Segmentation of 3D LiDAR Data.

Jilin Mei, Jiayu Chen, Wen Yao, Xijun Zhao, Huijing Zhao

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

Scene-Adaptive Off-Road Detection Using a Monocular Camera.

Jilin Mei, Yufeng Yu, Huijing Zhao, Hongbin Zha

IEEE Trans. Intell. Transp. Syst., 2018