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ORCIDTianxin Huang
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2020 – today
- 2024
[j9]Tianxin Huang
, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu:
Learnable Chamfer Distance for point cloud reconstruction. Pattern Recognit. Lett. 178: 43-48 (2024)- [j8]Huakun Huang, Tianxin Huang, Weizheng Wang, Lingjun Zhao, Haoda Wang, Huijun Wu:
Federated Learning and Convex Hull Enhancement for Privacy Preserving WiFi-Based Device-Free Localization. IEEE Trans. Consumer Electron. 70(1): 2577-2585 (2024) - [c17]Mengzhen Jia, Zhuqing Jiang, Tianxin Huang, Zhixin Zheng, Tian He, Yongle Wu:
Divide and Conquer: Rethinking HDR Reconstruction utilizing HSV color space. BMSB 2024: 1-6 - [c16]Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun:
FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio. CVPR 2024: 1292-1302 - [c15]Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu:
MaxQ: Multi-Axis Query for N: m Sparsity Network. CVPR 2024: 15845-15854 - [c14]Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu:
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. ICLR 2024 - [i15]Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun:
FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio. CoRR abs/2403.01901 (2024) - [i14]Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim Hee Lee:
Zero-shot Point Cloud Completion Via 2D Priors. CoRR abs/2404.06814 (2024) - [i13]Yunsong Wang, Tianxin Huang, Hanlin Chen, Gim Hee Lee:
FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes. CoRR abs/2405.17958 (2024) - [i12]Hanlin Chen, Fangyin Wei, Chen Li, Tianxin Huang, Yunsong Wang, Gim Hee Lee:
VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction. CoRR abs/2406.05774 (2024) - 2023
- [j7]Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Data-free quantization via mixed-precision compensation without fine-tuning. Pattern Recognit. 143: 109780 (2023) - [j6]Tianxin Huang, Hao Zou, Jinhao Cui, Jiangning Zhang, Xuemeng Yang, Lin Li, Yong Liu:
Adaptive Recurrent Forward Network for Dense Point Cloud Completion. IEEE Trans. Multim. 25: 5903-5915 (2023) - [c13]Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang, Mingang Chen, Chengjie Wang, Yong Liu:
Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space. CVPR 2023: 12208-12217 - [c12]Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang:
Rethinking Mobile Block for Efficient Attention-based Models. ICCV 2023: 1389-1400 - [c11]Jianbiao Mei, Yu Yang, Mengmeng Wang, Tianxin Huang, Xuemeng Yang, Yong Liu:
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion. IROS 2023: 1-8 - [i11]Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang:
Rethinking Mobile Block for Efficient Neural Models. CoRR abs/2301.01146 (2023) - [i10]Chao Xu, Shaoting Zhu, Junwei Zhu, Tianxin Huang, Jiangning Zhang, Ying Tai, Yong Liu:
Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator. CoRR abs/2305.02594 (2023) - [i9]Jianbiao Mei, Yu Yang, Mengmeng Wang, Tianxin Huang, Xuemeng Yang, Yong Liu:
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion. CoRR abs/2306.15349 (2023) - [i8]Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning. CoRR abs/2307.00498 (2023) - [i7]Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu:
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. CoRR abs/2308.10547 (2023) - [i6]Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu:
MaxQ: Multi-Axis Query for N: M Sparsity Network. CoRR abs/2312.07061 (2023) - [i5]Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu:
Learnable Chamfer Distance for Point Cloud Reconstruction. CoRR abs/2312.16582 (2023) - 2022
- [j5]Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu:
Semantic scan context: a novel semantic-based loop-closure method for LiDAR SLAM. Auton. Robots 46(4): 535-551 (2022) - [j4]Tianxin Huang, Yong Liu, Zaisheng Pan:
Deep Residual Surrogate Model. Inf. Sci. 605: 86-98 (2022) - [j3]Tianxin Huang, Jun Chen, Jiangning Zhang, Yong Liu, Jie Liang:
Fast Point Cloud Sampling Network. Pattern Recognit. Lett. 164: 216-223 (2022) - [j2]Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu:
RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network. IEEE Robotics Autom. Lett. 7(2): 4321-4328 (2022) - [j1]Tianxin Huang, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang, Yong Liu:
3QNet: 3D Point Cloud Geometry Quantization Compression Network. ACM Trans. Graph. 41(6): 187:1-187:13 (2022) - [c10]Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu:
Resolution-Free Point Cloud Sampling Network with Data Distillation. ECCV (2) 2022: 54-70 - [c9]Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu:
Learning to Train a Point Cloud Reconstruction Network Without Matching. ECCV (1) 2022: 179-194 - [c8]Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu:
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. ECCV (9) 2022: 263-279 - [c7]Tianxin Huang, Lingjun Zhao, Zeyang Dai, Liang Lin, Huakun Huang:
Privacy Preserving CSI Fingerprint Device-Free Localization. ML4CS (1) 2022: 27-39 - [i4]Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu:
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. CoRR abs/2208.01925 (2022) - 2021
- [c6]Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning Zhang, Yi Yuan, Yifan Xu, Yong Liu:
RFNet: Recurrent Forward Network for Dense Point Cloud Completion. ICCV 2021: 12488-12497 - [c5]Hao Zou, Xuemeng Yang, Tianxin Huang, Chujuan Zhang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion. IROS 2021: 16-23 - [c4]Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu:
SSC: Semantic Scan Context for Large-Scale Place Recognition. IROS 2021: 2092-2099 - [c3]Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds. IROS 2021: 3555-3562 - [i3]Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu:
SSC: Semantic Scan Context for Large-Scale Place Recognition. CoRR abs/2107.00382 (2021) - [i2]Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds. CoRR abs/2109.11453 (2021) - [i1]Jun Chen, Tianxin Huang, Wenzhou Chen, Yong Liu:
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior. CoRR abs/2111.08410 (2021)
2010 – 2019
- 2019
- [c2]Tingting Wang, Tianxin Huang:
Passive Radar Based UAV Detection Using Opportunistic RF Illumination. ICII 2019: 6-11 - [c1]Tianxin Huang, Yong Liu:
3D Point Cloud Geometry Compression on Deep Learning. ACM Multimedia 2019: 890-898
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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