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ORCIDXian-Feng Han
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- affiliation: Southwest University, Beibei, China
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Journal Articles
- 2024
[j16]LiChen Liu
, Xiangyu Song, HuanSheng Song, Shijie Sun, Xian-Feng Han, Naveed Akhtar, Ajmal Mian:
Yolo-3DMM for Simultaneous Multiple Object Detection and Tracking in Traffic Scenarios. IEEE Trans. Intell. Transp. Syst. 25(8): 9467-9481 (2024)- 2023
- [j15]Xian-Feng Han, Zhi-Ao Feng, Shi-Jie Sun, Guoqiang Xiao:
3D point cloud descriptors: state-of-the-art. Artif. Intell. Rev. 56(10): 12033-12083 (2023) - [j14]Zhi-Ao Feng, Xian-Feng Han:
Guided normal filter for 3D point clouds. Multim. Tools Appl. 82(9): 13797-13810 (2023) - [j13]Yao-Wen Zhang, Xian-Feng Han, Guo-Qiang Xiao:
An Efficient CRT Based Algorithm for Frequency Determination from Undersampled Real Waveform. Sensors 23(1): 452 (2023) - [j12]Hui-Xian Cheng, Xian-Feng Han, Guoqiang Xiao:
TransRVNet: LiDAR Semantic Segmentation With Transformer. IEEE Trans. Intell. Transp. Syst. 24(6): 5895-5907 (2023) - [j11]Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong:
STNet: Scale Tree Network With Multi-Level Auxiliator for Crowd Counting. IEEE Trans. Multim. 25: 2074-2084 (2023) - [j10]Xian-Feng Han, Yi-Fei Jin, Hui-Xian Cheng, Guoqiang Xiao:
Dual Transformer for Point Cloud Analysis. IEEE Trans. Multim. 25: 5638-5648 (2023) - 2022
- [j9]Xian-Feng Han, Xin-Yi Huang, Shijie Sun, Ming-Jie Wang:
3DDACNN: 3D dense attention convolutional neural network for point cloud based object recognition. Artif. Intell. Rev. 55(8): 6655-6671 (2022) - [j8]Xian-Feng Han, Zhang-Yue He, Jia Chen, Guo-Qiang Xiao:
3CROSSNet: Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation. IEEE Robotics Autom. Lett. 7(2): 3718-3725 (2022) - 2021
- [j7]Xian-Feng Han, Xin-Yu Yan, Shi-Jie Sun:
Novel methods for noisy 3D point cloud based object recognition. Multim. Tools Appl. 80(17): 26121-26143 (2021) - [j6]Xian-Feng Han, Hamid Laga, Mohammed Bennamoun:
Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1578-1604 (2021) - 2019
- [j5]Wei Jiang, Zheng Wang, Jesse S. Jin, Xian-Feng Han, Chunguang Li:
Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network. Sensors 19(12): 2730 (2019) - 2018
- [j4]Xian-Feng Han, Jesse S. Jin, Ming-Jie Wang, Wei Jiang:
Iterative guidance normal filter for point cloud. Multim. Tools Appl. 77(13): 16887-16902 (2018) - [j3]Xian-Feng Han, Jesse S. Jin, Ming-Jie Wang, Wei Jiang:
Guided 3D point cloud filtering. Multim. Tools Appl. 77(13): 17397-17411 (2018) - 2017
- [j2]Xian-Feng Han, Jesse S. Jin, Ming-Jie Wang, Wei Jiang, Lei Gao, Liping Xiao:
Video fire detection based on Gaussian Mixture Model and multi-color features. Signal Image Video Process. 11(8): 1419-1425 (2017) - [j1]Xian-Feng Han, Jesse S. Jin, Ming-Jie Wang, Wei Jiang, Lei Gao, Liping Xiao:
A review of algorithms for filtering the 3D point cloud. Signal Process. Image Commun. 57: 103-112 (2017)
Conference and Workshop Papers
- 2024
- [c12]Yuting Wu, Xian-Feng Han, Guoqiang Xiao:
Language-Driven Open-Vocabulary 3D Semantic Segmentation with Knowledge Distillation. ICASSP 2024: 3320-3324 - [c11]Xian-Feng Han, Hui-Xian Cheng, Hang Jiang, Dehong He, Guoqiang Xiao:
PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene. ICRA 2024: 4435-4441 - 2023
- [c10]Jiahao Liu, Hui-Xian Cheng, Guoqiang Xiao, Xianfeng Han:
CA-SSD: Channel-Independent Rare Class Attention for 3D Object Detection. IJCNN 2023: 1-8 - [c9]Chuyu Wang, Xianfeng Han, Guoqiang Xiao:
PointCMT: An MLP-Transformer Network for Contrastive Learning of Point Representation. IJCNN 2023: 1-6 - [c8]Zecheng Zhang, Xianfeng Han, Guoqiang Xiao:
IFA-Net: Isomerous Feature-aware Network for Single-view 3D Reconstruction. IJCNN 2023: 1-8 - [c7]Cheng-Yu Fang, Xian-Feng Han:
Joint Geometric-Semantic Driven Character Line Drawing Generation. ICMR 2023: 226-233 - 2022
- [c6]Hui-Xian Cheng, Xian-Feng Han, Guo-Qiang Xiao:
Cenet: Toward Concise and Efficient Lidar Semantic Segmentation for Autonomous Driving. ICME 2022: 1-6 - 2021
- [c5]Tianyu Chen, Guoqiang Xiao, Xiaoqin Tang, Xianfeng Han, Wenzhuo Ma, Xinye Gou:
Cascade Attention Blend Residual Network For Single Image Super-Resolution. ICIP 2021: 559-563 - [c4]You Zhai, Xianfeng Han, Wenzhuo Ma, Xinye Gou, Guoqiang Xiao:
PGMANet: Pose-Guided Mixed Attention Network for Occluded Person Re-Identification. IJCNN 2021: 1-8 - 2016
- [c3]Ming-Jie Wang, Jesse S. Jin, Yifei Jing, Xian-Feng Han, Lei Gao, Liping Xiao:
The Improved Canny Edge Detection Algorithm Based on an Anisotropic and Genetic Algorithm. IGTA 2016: 115-124 - [c2]Mingjie Wang, Jesse S. Jin, Xian-Feng Han, Wei Jiang, Yifei Jing, Lei Gao, Liping Xiao:
An Algorithm of Detecting Moving Foreground Based on an Improved Gaussian Mixture Model. IGTA 2016: 125-136 - 2006
- [c1]Jun-Shan Li, Xian-Feng Han, Long Li, Kun Li, Jianjun Li:
A Edge Feature Matching Algorithm Based on Evolutionary Strategies and Least Trimmed Square Hausdorff Distance. ICNC (1) 2006: 475-478
Informal and Other Publications
- 2023
- [i10]Cheng-Yu Fang, Xianfeng Han:
Flow-Guided Controllable Line Drawing Generation. CoRR abs/2307.07540 (2023) - 2022
- [i9]Cheng-Yu Fang, Xian-Feng Han, Qi Zhong, Shi-Jie Sun, Guo-Qiang Xiao:
Learning to Generate Artistic Character Line Drawing. CoRR abs/2206.02998 (2022) - [i8]Hui-Xian Cheng, Xian-Feng Han, Guo-Qiang Xiao:
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving. CoRR abs/2207.12691 (2022) - [i7]Hui-Xian Cheng, Xianfeng Han, Hang Jiang, Dehong He, Guoqiang Xiao:
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene. CoRR abs/2209.13797 (2022) - 2021
- [i6]Xian-Feng Han, Yi-Fei Jin, Hui-Xian Cheng, Guo-Qiang Xiao:
Dual Transformer for Point Cloud Analysis. CoRR abs/2104.13044 (2021) - [i5]Xian-Feng Han, Zhang-Yue He, Jia Chen, Guo-Qiang Xiao:
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation. CoRR abs/2104.13053 (2021) - [i4]Xian-Feng Han, Yu-Jia Kuang, Guo-Qiang Xiao:
Point Cloud Learning with Transformer. CoRR abs/2104.13636 (2021) - 2020
- [i3]Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong:
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting. CoRR abs/2012.10189 (2020) - 2019
- [i2]Xian-Feng Han, Hamid Laga, Mohammed Bennamoun:
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era. CoRR abs/1906.06543 (2019) - 2018
- [i1]Xian-Feng Han, Jesse S. Jin, Juan Xie, Ming-Jie Wang, Wei Jiang:
A comprehensive review of 3D point cloud descriptors. CoRR abs/1802.02297 (2018)
Coauthor Index
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