Tianxin Huang

According to our database, Tianxin Huang authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio.

Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun

CoRR, 2024

2023

Data-free quantization via mixed-precision compensation without fine-tuning.

Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu

Pattern Recognit., November, 2023

Adaptive Recurrent Forward Network for Dense Point Cloud Completion.

Tianxin Huang, Hao Zou, Jinhao Cui, Jiangning Zhang, Xuemeng Yang, Lin Li, Yong Liu

IEEE Trans. Multim., 2023

Learnable Chamfer Distance for Point Cloud Reconstruction.

Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu

CoRR, 2023

MaxQ: Multi-Axis Query for N: M Sparsity Network.

Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu

CoRR, 2023

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.

Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu

CoRR, 2023

Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator.

Chao Xu, Shaoting Zhu, Junwei Zhu, Tianxin Huang, Jiangning Zhang, Ying Tai, Yong Liu

CoRR, 2023

Rethinking Mobile Block for Efficient Neural Models.

Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang

CoRR, 2023

SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion.

Jianbiao Mei, Yu Yang, Mengmeng Wang, Tianxin Huang, Xuemeng Yang, Yong Liu

IROS, 2023

Rethinking Mobile Block for Efficient Attention-based Models.

Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang

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

Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space.

Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang, Mingang Chen, Chengjie Wang, Yong Liu

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

2022

3QNet: 3D Point Cloud Geometry Quantization Compression Network.

Tianxin Huang, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang, Yong Liu

ACM Trans. Graph., 2022

RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network.

Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu

IEEE Robotics Autom. Lett., 2022

Fast Point Cloud Sampling Network.

Tianxin Huang, Jun Chen, Jiangning Zhang, Yong Liu, Jie Liang

Pattern Recognit. Lett., 2022

Deep Residual Surrogate Model.

Tianxin Huang, Yong Liu, Zaisheng Pan

Inf. Sci., 2022

Semantic scan context: a novel semantic-based loop-closure method for LiDAR SLAM.

Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu

Auton. Robots, 2022

Privacy Preserving CSI Fingerprint Device-Free Localization.

Tianxin Huang, Lingjun Zhao, Zeyang Dai, Liang Lin, Huakun Huang

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud.

Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Resolution-Free Point Cloud Sampling Network with Data Distillation.

Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Train a Point Cloud Reconstruction Network Without Matching.

Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Thoughts on the Consistency between Ricci Flow and Neural Network Behavior.

Jun Chen, Tianxin Huang, Wenzhou Chen, Yong Liu

CoRR, 2021

SSC: Semantic Scan Context for Large-Scale Place Recognition.

Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu

CoRR, 2021

Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion.

Hao Zou, Xuemeng Yang, Tianxin Huang, Chujuan Zhang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds.

Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

SSC: Semantic Scan Context for Large-Scale Place Recognition.

Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

RFNet: Recurrent Forward Network for Dense Point Cloud Completion.

Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning Zhang, Yi Yuan, Yifan Xu, Yong Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

3D Point Cloud Geometry Compression on Deep Learning.

Tianxin Huang, Yong Liu

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Passive Radar Based UAV Detection Using Opportunistic RF Illumination.

Tingting Wang, Tianxin Huang

Proceedings of the IEEE International Conference on Industrial Internet, 2019