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Hongbin Zha
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- affiliation: Peking University, Beijing, China
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2020 – today
- 2024
- [j87]Shaocong Xu, Xiaoxue Chen, Yuhang Zheng, Guyue Zhou, Yurong Chen, Hongbin Zha, Hao Zhao:
ECT: Fine-grained edge detection with learned cause tokens. Image Vis. Comput. 143: 104947 (2024) - [j86]Wugen Zhou, Youqi Pan, Junbin Liu, Tao Wang, Hongbin Zha:
Visual-Inertial-Wheel Odometry With Wheel-Aided Maximum-a-Posteriori Initialization for Ground Robots. IEEE Robotics Autom. Lett. 9(5): 4814-4821 (2024) - [j85]Haomin Liu, Linsheng Zhao, Zhen Peng, Weijian Xie, Mingxuan Jiang, Hongbin Zha, Hujun Bao, Guofeng Zhang:
A Low-Cost and Scalable Framework to Build Large-Scale Localization Benchmark for Augmented Reality. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2274-2288 (2024) - [j84]Haoran Chen, Lantian Wei, Haomin Liu, Boxin Shi, Guofeng Zhang, Hongbin Zha:
MOUNT: Learning 6DoF Motion Prediction Based on Uncertainty Estimation for Delayed AR Rendering. IEEE Trans. Vis. Comput. Graph. 30(7): 3166-3179 (2024) - [c288]Rukun Qiao, Hiroshi Kawasaki, Hongbin Zha:
Depth Reconstruction with Neural Signed Distance Fields in Structured Light Systems. 3DV 2024: 770-779 - [c287]Youqi Pan, Wugen Zhou, Yingdian Cao, Hongbin Zha:
Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning. CVPR 2024: 18019-18028 - [c286]Dong Wu, Zike Yan, Hongbin Zha:
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular Video. CVPR 2024: 21507-21518 - [e29]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14425, Springer 2024, ISBN 978-981-99-8428-2 [contents] - [e28]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14426, Springer 2024, ISBN 978-981-99-8431-2 [contents] - [e27]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14427, Springer 2024, ISBN 978-981-99-8434-3 [contents] - [e26]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14428, Springer 2024, ISBN 978-981-99-8461-9 [contents] - [e25]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14429, Springer 2024, ISBN 978-981-99-8468-8 [contents] - [e24]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14430, Springer 2024, ISBN 978-981-99-8536-4 [contents] - [e23]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14431, Springer 2024, ISBN 978-981-99-8539-5 [contents] - [e22]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14432, Springer 2024, ISBN 978-981-99-8542-5 [contents] - [e21]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14433, Springer 2024, ISBN 978-981-99-8545-6 [contents] - [e20]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part X. Lecture Notes in Computer Science 14434, Springer 2024, ISBN 978-981-99-8548-7 [contents] - [e19]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XI. Lecture Notes in Computer Science 14435, Springer 2024, ISBN 978-981-99-8551-7 [contents] - [e18]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XII. Lecture Notes in Computer Science 14436, Springer 2024, ISBN 978-981-99-8554-8 [contents] - [e17]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XIII. Lecture Notes in Computer Science 14437, Springer 2024, ISBN 978-981-99-8557-9 [contents] - [i29]Rukun Qiao, Hiroshi Kawasaki, Hongbin Zha:
Depth Reconstruction with Neural Signed Distance Fields in Structured Light Systems. CoRR abs/2405.12006 (2024) - [i28]Youqi Pan, Wugen Zhou, Yingdian Cao, Hongbin Zha:
Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning. CoRR abs/2405.16754 (2024) - [i27]Baicheng Li, Zike Yan, Dong Wu, Hanqing Jiang, Hongbin Zha:
Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM. CoRR abs/2407.13338 (2024) - 2023
- [j83]Ruchang Xu, Qing Mi, Wei Ma, Hongbin Zha:
View-relation constrained global representation learning for multi-view-based 3D object recognition. Appl. Intell. 53(7): 7741-7750 (2023) - [j82]Wubin Yan, Lijun Dong, Wei Ma, Qing Mi, Hongbin Zha:
DSC-MDE: Dual structural contexts for monocular depth estimation. Knowl. Based Syst. 263: 110308 (2023) - [j81]Yicheng Zhong, Yuru Pei, Kaichen Nie, Yungeng Zhang, Tianmin Xu, Hongbin Zha:
Bi-Graph Reasoning for Masticatory Muscle Segmentation From Cone-Beam Computed Tomography. IEEE Trans. Medical Imaging 42(12): 3690-3701 (2023) - [c285]Zike Yan, Haoxiang Yang, Hongbin Zha:
Active Neural Mapping. ICCV 2023: 10947-10958 - [c284]Huan-ang Gao, Beiwen Tian, Pengfei Li, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Yurong Chen, Hongbin Zha:
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds. ICRA 2023: 2803-2810 - [c283]Rukun Qiao, Hiroshi Kawasaki, Hongbin Zha:
Online Adaptive Disparity Estimation for Dynamic Scenes in Structured Light Systems. IROS 2023: 11186-11193 - [i26]Huan-ang Gao, Beiwen Tian, Pengfei Li, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Yurong Chen, Hongbin Zha:
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds. CoRR abs/2301.13865 (2023) - [i25]Shaocong Xu, Xiaoxue Chen, Yuhang Zheng, Guyue Zhou, Yurong Chen, Hongbin Zha, Hao Zhao:
ECT: Fine-grained Edge Detection with Learned Cause Tokens. CoRR abs/2308.03092 (2023) - [i24]Zike Yan, Haoxiang Yang, Hongbin Zha:
Active Neural Mapping. CoRR abs/2308.16246 (2023) - [i23]Rukun Qiao, Hiroshi Kawasaki, Hongbin Zha:
TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light System. CoRR abs/2310.08932 (2023) - [i22]Rukun Qiao, Hiroshi Kawasaki, Hongbin Zha:
Online Adaptive Disparity Estimation for Dynamic Scenes in Structured Light Systems. CoRR abs/2310.08934 (2023) - 2022
- [j80]Wenguang Ma, Shibiao Xu, Wei Ma, Hongbin Zha:
Multiview Feature Aggregation for Facade Parsing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j79]Diya Sun, Yuru Pei, Yungeng Zhang, Tianmin Xu, Tianbing Wang, Hongbin Zha:
Dense correspondence of deformable volumetric images via deep spectral embedding and descriptor learning. Medical Image Anal. 82: 102604 (2022) - [j78]Fei Xue, Xin Wang, Junqiu Wang, Hongbin Zha:
Deep Visual Odometry With Adaptive Memory. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 940-954 (2022) - [j77]Xiaobin Hu, Wenqi Ren, Jiaolong Yang, Xiaochun Cao, David Wipf, Bjoern H. Menze, Xin Tong, Hongbin Zha:
Face Restoration via Plug-and-Play 3D Facial Priors. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8910-8926 (2022) - [j76]Rukun Qiao, Hiroshi Kawasaki, Hongbin Zha:
TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light System. IEEE Robotics Autom. Lett. 7(2): 5111-5118 (2022) - [j75]Xin Wang, Youqi Pan, Zike Yan, Hongbin Zha:
Visual-Inertial Odometry Based on Kinematic Constraints in IMU Frames. IEEE Robotics Autom. Lett. 7(3): 6550-6557 (2022) - [j74]Yikun Jiang, Yuru Pei, Peixin Li, Yungeng Zhang, Yuke Guo, Yi Fan, Gui Chen, Fanfan Dai, Tianmin Xu, Xiaoru Yuan, Hongbin Zha:
Craniofacial Volumetric Image Estimation From a Lateral Cephalogram Using Cross-Dimensional Discrete Embedding Mapping. IEEE Trans. Computational Imaging 8: 972-985 (2022) - [j73]Qihan Bo, Wei Ma, Yu-Kun Lai, Hongbin Zha:
All-Higher-Stages-In Adaptive Context Aggregation for Semantic Edge Detection. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6778-6791 (2022) - [j72]Wenguang Ma, Shibiao Xu, Wei Ma, Xiaopeng Zhang, Hongbin Zha:
Progressive Feature Learning for Facade Parsing With Occlusions. IEEE Trans. Image Process. 31: 2081-2093 (2022) - [j71]Yongjie Shi, Xianghua Ying, Hongbin Zha:
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Street Scenes Reflected by Convex Mirrors. IEEE Trans. Intell. Transp. Syst. 23(12): 24276-24289 (2022) - [j70]Diya Sun, Yungeng Zhang, Yuru Pei, Peixin Li, Kaichen Nie, Tianmin Xu, Tianbing Wang, Hongbin Zha:
Deep Volumetric Descriptor Learning for Dense Correspondence of Cone-Beam Computed Tomography via Spectral Maps. IEEE Trans. Medical Imaging 41(8): 2157-2169 (2022) - [c282]Xin Wu, Hao Zhao, Shunkai Li, Yingdian Cao, Hongbin Zha:
SC-wLS: Towards Interpretable Feed-forward Camera Re-localization. ECCV (1) 2022: 585-601 - [c281]Ruchang Xu, Wei Ma, Qing Mi, Hongbin Zha:
ReINView: Re-interpreting Views for Multi-view 3D Object Recognition. IROS 2022: 6630-6636 - [i21]Xin Wu, Hao Zhao, Shunkai Li, Yingdian Cao, Hongbin Zha:
SC-wLS: Towards Interpretable Feed-forward Camera Re-localization. CoRR abs/2210.12748 (2022) - 2021
- [j69]Guofeng Zhang, Xiaowei Zhou, Feng Tian, Hongbin Zha, Yongtian Wang, Hujun Bao:
The present and future of mixed reality in China. Commun. ACM 64(11): 64-69 (2021) - [j68]Peixin Li, Yuru Pei, Yicheng Zhong, Yuke Guo, Hongbin Zha:
Robust 3D face reconstruction from single noisy depth image through semantic consistency. IET Comput. Vis. 15(6): 393-404 (2021) - [j67]Wenguang Ma, Wei Ma, Shibiao Xu, Hongbin Zha:
Pyramid ALKNet for Semantic Parsing of Building Facade Image. IEEE Geosci. Remote. Sens. Lett. 18(6): 1009-1013 (2021) - [j66]Jianlong Wu, Xingxu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha:
Reconstruction regularized low-rank subspace learning for cross-modal retrieval. Pattern Recognit. 113: 107813 (2021) - [j65]Yicheng Zhong, Yuru Pei, Peixin Li, Yuke Guo, Gengyu Ma, Meng Liu, Wei Bai, Wenhai Wu, Hongbin Zha:
Depth-Based 3D Face Reconstruction and Pose Estimation Using Shape-Preserving Domain Adaptation. IEEE Trans. Biom. Behav. Identity Sci. 3(1): 6-15 (2021) - [j64]Qiuyuan Wang, Zike Yan, Junqiu Wang, Fei Xue, Wei Ma, Hongbin Zha:
Line Flow Based Simultaneous Localization and Mapping. IEEE Trans. Robotics 37(5): 1416-1432 (2021) - [c280]Zike Yan, Xin Wang, Hongbin Zha:
Online Learning of a Probabilistic and Adaptive Scene Representation. CVPR 2021: 13111-13121 - [c279]Shunkai Li, Xin Wu, Yingdian Cao, Hongbin Zha:
Generalizing to the Open World: Deep Visual Odometry With Online Adaptation. CVPR 2021: 13184-13193 - [c278]Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, Hongbin Zha:
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations. ICCV 2021: 15762-15772 - [c277]Yungeng Zhang, Yuru Pei, Hongbin Zha:
Learning Dual Transformer Network for Diffeomorphic Registration. MICCAI (4) 2021: 129-138 - [c276]Diya Sun, Yungeng Zhang, Yuru Pei, Tianmin Xu, Hongbin Zha:
Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence. MICCAI (4) 2021: 161-170 - [i20]Shunkai Li, Xin Wu, Yingdian Cao, Hongbin Zha:
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation. CoRR abs/2103.15279 (2021) - [i19]Zike Yan, Xin Wang, Hongbin Zha:
Online Learning of a Probabilistic and Adaptive Scene Representation. CoRR abs/2103.16832 (2021) - [i18]Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, Hongbin Zha:
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations. CoRR abs/2108.05851 (2021) - [i17]Hao Zhao, René Ranftl, Yurong Chen, Hongbin Zha:
Transferable End-to-end Room Layout Estimation via Implicit Encoding. CoRR abs/2112.11340 (2021) - 2020
- [c275]Shuai Xie, Wei Ma, Qiuyuan Wang, Ruchang Xu, Hongbin Zha:
FC-vSLAM: Integrating Feature Credibility in Visual SLAM. 3DV 2020: 959-967 - [c274]Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha:
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. AAAI 2020: 6388-6395 - [c273]Yungeng Zhang, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Fully Convolutional Network for Consistent Voxel-Wise Correspondence. AAAI 2020: 12935-12942 - [c272]Peixin Li, Yuru Pei, Yicheng Zhong, Yuke Guo, Gengyu Ma, Meng Liu, Wei Bai, Wenhai Wu, Hongbin Zha:
An Unsupervised Approach for 3D Face Reconstruction from a Single Depth Image. CGI 2020: 206-219 - [c271]Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha:
Self-Supervised Deep Visual Odometry With Online Adaptation. CVPR 2020: 6338-6347 - [c270]He Zhao, Xianghua Ying, Yongjie Shi, Xin Tong, Jingsi Wen, Hongbin Zha:
RDCFace: Radial Distortion Correction for Face Recognition. CVPR 2020: 7718-7727 - [c269]Yicheng Zhong, Yuru Pei, Peixin Li, Yuke Guo, Gengyu Ma, Meng Liu, Wei Bai, Wenhai Wu, Hongbin Zha:
Face Denoising and 3D Reconstruction from A Single Depth Image. FG 2020: 117-124 - [c268]He Zhao, Yongjie Shi, Xin Tong, Xianghua Ying, Hongbin Zha:
A Simple Yet Effective Pipeline For Radial Distortion Correction. ICIP 2020: 878-882 - [c267]He Zhao, Yongjie Shi, Xin Tong, Xianghua Ying, Hongbin Zha:
Qamface: Quadratic Additive Angular Margin Loss For Face Recognition. ICIP 2020: 2141-2145 - [c266]He Zhao, Yongjie Shi, Xin Tong, Jingsi Wen, Xianghua Ying, Hongbin Zha:
G-FAN: Graph-Based Feature Aggregation Network for Video Face Recognition. ICPR 2020: 1672-1678 - [c265]Yongjie Shi, Xin Tong, Jingsi Wen, He Zhao, Xianghua Ying, Hongbin Zha:
Position-aware and Symmetry Enhanced GAN for Radial Distortion Correction. ICPR 2020: 1701-1708 - [c264]Hanzhe Hu, Jinshi Cui, Hongbin Zha:
Boundary-aware Graph Convolution for Semantic Segmentation. ICPR 2020: 1828-1835 - [c263]Yongjie Shi, Xin Tong, Jingsi Wen, He Zhao, Xianghua Ying, Hongbin Zha:
3D Orientation Estimation and Vanishing Point Extraction from Single Panoramas Using Convolutional Neural Network. ICRA 2020: 596-602 - [c262]Yungeng Zhang, Yuru Pei, Si Chen, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Volumetric Registration-Based Cleft Volume Estimation of Alveolar Cleft Grafting Procedures. ISBI 2020: 99-103 - [c261]Diya Sun, Yuru Pei, Guangying Song, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Tooth Segmentation and Labeling from Digital Dental Casts. ISBI 2020: 669-673 - [c260]Peixin Li, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Non-Rigid 2D-3D Registration Using Convolutional Autoencoders. ISBI 2020: 700-704 - [c259]Yungeng Zhang, Yuru Pei, Yuke Guo, Si Chen, Tianmin Xu, Hongbin Zha:
Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks. MLMI@MICCAI 2020: 332-341 - [c258]Diya Sun, Yuru Pei, Peixin Li, Guangying Song, Yuke Guo, Hongbin Zha, Tianmin Xu:
Automatic Tooth Segmentation and Dense Correspondence of 3D Dental Model. MICCAI (4) 2020: 703-712 - [e16]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision, Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12305, Springer 2020, ISBN 978-3-030-60632-9 [contents] - [e15]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12306, Springer 2020, ISBN 978-3-030-60638-1 [contents] - [e14]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12307, Springer 2020, ISBN 978-3-030-60635-0 [contents] - [i16]Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha:
Self-Supervised Deep Visual Odometry with Online Adaptation. CoRR abs/2005.06136 (2020) - [i15]Fei Xue, Xin Wang, Junqiu Wang, Hongbin Zha:
Deep Visual Odometry with Adaptive Memory. CoRR abs/2008.01655 (2020) - [i14]Qiuyuan Wang, Zike Yan, Junqiu Wang, Fei Xue, Wei Ma, Hongbin Zha:
Line Flow based SLAM. CoRR abs/2009.09972 (2020)
2010 – 2019
- 2019
- [j63]Jiyuan Zhang, Gang Zeng, Hongbin Zha:
Structure-aware SLAM with planes and lines in man-made environment. Pattern Recognit. Lett. 127: 181-190 (2019) - [j62]Jianlong Wu, Zhouchen Lin, Hongbin Zha:
Essential Tensor Learning for Multi-View Spectral Clustering. IEEE Trans. Image Process. 28(12): 5910-5922 (2019) - [j61]Yongkun Fang, Chao Wang, Wen Yao, Xijun Zhao, Huijing Zhao, Hongbin Zha:
On-Road Vehicle Tracking Using Part-Based Particle Filter. IEEE Trans. Intell. Transp. Syst. 20(12): 4538-4552 (2019) - [j60]Zike Yan, Hongbin Zha:
Flow-based SLAM: From geometry computation to learning. Virtual Real. Intell. Hardw. 1(5): 435-460 (2019) - [c257]Honggai Li, Jinshi Cui, Li Wang, Hongbin Zha:
Infant Attachment Prediction Using Vision and Audio Features in Mother-Infant Interaction. ACPR (2) 2019: 489-502 - [c256]Songjiang Li, Honggai Li, Jinshi Cui, Hongbin Zha:
Pose-Aware Face Alignment based on CNN and 3DMM. BMVC 2019: 106 - [c255]Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha:
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry. CVPR 2019: 8575-8583 - [c254]Fei Xue, Xin Wang, Zike Yan, Qiuyuan Wang, Junqiu Wang, Hongbin Zha:
Local Supports Global: Deep Camera Relocalization With Sequence Enhancement. ICCV 2019: 2841-2850 - [c253]Shunkai Li, Fei Xue, Xin Wang, Zike Yan, Hongbin Zha:
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry. ICCV 2019: 2851-2860 - [c252]Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha:
Deep Comprehensive Correlation Mining for Image Clustering. ICCV 2019: 8149-8158 - [c251]Yongjie Shi, Danfeng Zhang, Jingsi Wen, Xin Tong, He Zhao, Xianghua Ying, Hongbin Zha:
Three Orthogonal Vanishing Points Estimation in Structured Scenes Using Convolutional Neural Networks. ICIP 2019: 3537-3541 - [c250]Yungeng Zhang, Yuru Pei, Haifang Qin, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial Network. ISBI 2019: 1188-1192 - [c249]Yongkun Fang, Huijing Zhao, Hongbin Zha, Xijun Zhao, Wen Yao:
Camera and LiDAR Fusion for On-road Vehicle Tracking with Reinforcement Learning. IV 2019: 1723-1730 - [c248]Diya Sun, Yuru Pei, Yungeng Zhang, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps. MLMI@MICCAI 2019: 247-255 - [c247]Fei Xue, Xin Wang, Qiuyuan Wang, Junqiu Wang, Hongbin Zha:
Visual Odometry with Deep Bidirectional Recurrent Neural Networks. PRCV (3) 2019: 235-246 - [i13]Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha:
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry. CoRR abs/1904.01892 (2019) - [i12]Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha:
Deep Comprehensive Correlation Mining for Image Clustering. CoRR abs/1904.06925 (2019) - [i11]Fei Xue, Xin Wang, Zike Yan, Qiuyuan Wang, Junqiu Wang, Hongbin Zha:
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement. CoRR abs/1908.04391 (2019) - [i10]Shunkai Li, Fei Xue, Xin Wang, Zike Yan, Hongbin Zha:
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry. CoRR abs/1908.08704 (2019) - 2018
- [j59]Zhouchen Lin, Chen Xu, Hongbin Zha:
Robust Matrix Factorization by Majorization Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 208-220 (2018) - [j58]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) - [j57]Yuru Pei, Yunai Yi, Gengyu Ma, Tae-Kyun Kim, Yuke Guo, Tianmin Xu, Hongbin Zha:
Spatially Consistent Supervoxel Correspondences of Cone-Beam Computed Tomography Images. IEEE Trans. Medical Imaging 37(10): 2310-2321 (2018) - [c246]Fei Xue, Qiuyuan Wang, Xin Wang, Wei Dong, Junqiu Wang, Hongbin Zha:
Guided Feature Selection for Deep Visual Odometry. ACCV (6) 2018: 293-308 - [c245]Xin Wang, Fei Xue, Zike Yan, Wei Dong, Qiuyuan Wang, Hongbin Zha:
Continuous-Time Stereo Visual Odometry Based on Dynamics Model. ACCV (6) 2018: 388-403 - [c244]