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2020 – today
- 2024
[j6]Shun Lu
, Yu Hu, Longxing Yang, Jilin Mei, Zihao Sun, Jianchao Tan, Chengru Song:
PHD-NAS: Preserving helpful data to promote Neural Architecture Search. Neurocomputing 587: 127646 (2024)- [c15]Heng Zhai, Jilin Mei, Liang Chen, Fangzhou Zhao, Xijun Zhao, Yu Hu:
SAM-PS: Zero-shot Parking-slot Detection based on Large Visual Model. IV 2024: 1594-1600 - [c14]Shuo Zhang, Yupeng Zhai, Jilin Mei, Yu Hu:
FusionOcc: Multi-Modal Fusion for 3D Occupancy Prediction. ACM Multimedia 2024: 787-796 - [i10]Fangyuan Mao, Jilin Mei, Shun Lu, Fuyang Liu, Liang Chen, Fangzhou Zhao, Yu Hu:
PID: Physics-Informed Diffusion Model for Infrared Image Generation. CoRR abs/2407.09299 (2024) - [i9]Junbao Zhou, Jilin Mei, Pengze Wu, Liang Chen, Fangzhou Zhao, Xijun Zhao, Yu Hu:
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation. CoRR abs/2408.15657 (2024) - [i8]Junkun Chen, Jilin Mei, Liang Chen, Fangzhou Zhao, Yu Hu:
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity. CoRR abs/2409.05466 (2024) - [i7]Chen Min, Shubin Si, Xu Wang, Hanzhang Xue, Weizhong Jiang, Yang Liu, Juan Wang, Qingtian Zhu, Qi Zhu, Lun Luo, Fanjie Kong, Jinyu Miao, Xudong Cai, Shuai An, Wei Li, Jilin Mei, Tong Sun, Heng Zhai, Qifeng Liu, Fangzhou Zhao, Liang Chen, Shuai Wang, Er-Ke Shang, Linzhi Shang, Kunlong Zhao, Fuyang Li, Hao Fu, Lei Jin, Jian Zhao, Fangyuan Mao, Zhipeng Xiao, Chengyang Li, Bin Dai, Dawei Zhao, Liang Xiao, Yiming Nie, Yu Hu, Xuelong Li:
Autonomous Driving in Unstructured Environments: How Far Have We Come? CoRR abs/2410.07701 (2024) - 2023
- [j5]Longxing Yang, Yanxin Fu, Shun Lu, Zihao Sun, Jilin Mei, Wenxiao Zhao, Yu Hu:
Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search. Neural Networks 168: 237-255 (2023) - [c13]Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song:
PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. CVPR 2023: 11940-11949 - [c12]Zihao Sun, Yu Sun, Longxing Yang, Shun Lu, Jilin Mei, Wenxiao Zhao, Yu Hu:
Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS. ICCV 2023: 5740-5750 - [c11]Haoyu Li, Jilin Mei, Jiancong Zhou, Yu Hu:
Zero-shot Object Detection Based on Dynamic Semantic Vectors. ICRA 2023: 9267-9273 - [c10]Jilin Mei, Junbao Zhou, Yu Hu:
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving. ICRA 2023: 9324-9330 - [c9]Pengze Wu, Jilin Mei, Xijun Zhao, Yu Hu:
Generalized Few-shot Semantic Segmentation for LiDAR Point Clouds. IROS 2023: 7622-7628 - [c8]Hongliang Ye, Jilin Mei, Yu Hu:
M2F2-Net: Multi-Modal Feature Fusion for Unstructured Off-Road Freespace Detection. IV 2023: 1-7 - [c7]Jiancong Zhou, Jilin Mei, Haoyu Li, Yu Hu:
PMR-CNN: Prototype Mixture R-CNN for Few-Shot Object Detection. IV 2023: 1-7 - [i6]Jilin Mei, Junbao Zhou, Yu Hu:
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving. CoRR abs/2302.08785 (2023) - [i5]Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Jianchao Tan, Chengru Song:
PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. CoRR abs/2302.14772 (2023) - 2022
- [j4]Zihao Sun, Yu Hu, Longxing Yang, Shun Lu, Jilin Mei, Yinhe Han, Xiaowei Li:
STC-NAS: Fast neural architecture search with source-target consistency. Neurocomputing 497: 227-238 (2022) - [c6]Zihao Sun, Yu Hu, Shun Lu, Longxing Yang, Jilin Mei, Yinhe Han, Xiaowei Li:
AGNAS: Attention-Guided Micro and Macro-Architecture Search. ICML 2022: 20777-20789 - [c5]Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yinhe Han, Xiaowei Li:
Searching for BurgerFormer with Micro-Meso-Macro Space Design. ICML 2022: 25055-25069 - 2021
- [c4]Longxing Yang, Yu Hu, Shun Lu, Zihao Sun, Jilin Mei, Yiming Zeng, Zhiping Shi, Yinhe Han, Xiaowei Li:
DDSAS: Dynamic and Differentiable Space-Architecture Search. ACML 2021: 284-299 - [c3]Shun Lu, Yu Hu, Longxing Yang, Zihao Sun, Jilin Mei, Yiming Zeng, Xiaowei Li:
DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search. BMVC 2021: 133 - 2020
- [j3]Jilin Mei, Biao Gao, Donghao Xu, Wen Yao, Xijun Zhao, Huijing Zhao:
Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-Supervised Learning. IEEE Trans. Intell. Transp. Syst. 21(6): 2496-2509 (2020) - [j2]Jilin Mei, Huijing Zhao:
Incorporating Human Domain Knowledge in 3-D LiDAR-Based Semantic Segmentation. IEEE Trans. Intell. Veh. 5(2): 178-187 (2020) - [c2]Yancheng Pan, Biao Gao, Jilin Mei, Sibo Geng, Chengkun Li, Huijing Zhao:
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances. IV 2020: 687-693 - [i4]Yancheng Pan, Biao Gao, Jilin Mei, Sibo Geng, Chengkun Li, Huijing Zhao:
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances. CoRR abs/2002.09147 (2020) - [i3]Jilin Mei, Huijing Zhao:
Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene. CoRR abs/2003.13926 (2020)
2010 – 2019
- 2019
- [c1]Jilin Mei, Jiayu Chen, Wen Yao, Xijun Zhao, Huijing Zhao:
Supervised Learning for Semantic Segmentation of 3D LiDAR Data. IV 2019: 1491-1498 - [i2]Jilin Mei, Huijing Zhao:
Incorporating Human Domain Knowledge in 3D LiDAR-based Semantic Segmentation. CoRR abs/1905.09533 (2019) - 2018
- [j1]Jilin Mei, Yufeng Yu, Huijing Zhao, Hongbin Zha:
Scene-Adaptive Off-Road Detection Using a Monocular Camera. IEEE Trans. Intell. Transp. Syst. 19(1): 242-253 (2018) - [i1]Jilin Mei, Biao Gao, Donghao Xu, Wen Yao, Xijun Zhao, Huijing Zhao:
Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning. CoRR abs/1809.00426 (2018)
Coauthor Index
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