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2020 – today
- 2025
[c18]Qun-Ce Xu, Yan-Pei Cao
, Weihao Cheng, Tai-Jiang Mu, Ying Shan, Yong-Liang Yang, Shi-Min Hu:
High-Accuracy Fractured Object Reassembly Under Arbitrary Poses. CVM (2) 2025: 194-215- 2024
- [j41]Guo-Wei Yang, Dong-Yu Chen, Tai-Jiang Mu:
Sketch-2-4D: Sketch driven dynamic 3D scene generation. Graph. Model. 136: 101231 (2024) - [j40]Junxiong Cai, Tai-Jiang Mu, Yu-Kun Lai:
FilterGNN: Image feature matching with cascaded outlier filters and linear attention. Comput. Vis. Media 10(5): 873-884 (2024) - [j39]Wenyang Zhou, Lu Yuan, Taijiang Mu:
Multi3D: 3D-aware multimodal image synthesis. Comput. Vis. Media 10(6): 1205-1217 (2024) - [j38]Meng-Hao Guo, Yi Zhang, Tai-Jiang Mu, Sharon X. Huang, Shi-Min Hu:
Tuning Vision-Language Models With Multiple Prototypes Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11186-11199 (2024) - [j37]Tai-Jiang Mu, Ming-Yuan Shen, Yu-Kun Lai, Shi-Min Hu:
Learning Virtual View Selection for 3D Scene Semantic Segmentation. IEEE Trans. Image Process. 33: 4159-4172 (2024) - [j36]Xiang-Li Li, Zheng-Ning Liu, Tuo Chen, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
Mesh Neural Networks Based on Dual Graph Pyramids. IEEE Trans. Vis. Comput. Graph. 30(7): 4211-4224 (2024) - [j35]Chuanyu Pan, Guowei Yang, Taijiang Mu, Yu-Kun Lai:
Generating animatable 3D cartoon faces from single portraits. Virtual Real. Intell. Hardw. 6(4): 292-307 (2024) - [c17]Guo-Ye Yang, George Kiyohiro Nakayama, Zi-Kai Xiao, Tai-Jiang Mu, Xiaolei Huang, Shi-Min Hu:
Semantic-Aware Transformation-Invariant RoI Align. AAAI 2024: 6486-6493 - [c16]Hanchao Liu, Xiaohang Zhan, Shaoli Huang, Tai-Jiang Mu, Ying Shan:
Programmable Motion Generation for Open-Set Motion Control Tasks. CVPR 2024: 1399-1408 - [c15]Zi-Kai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-Min Hu:
Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. CVPR 2024: 16912-16922 - [c14]Hanchao Liu, Yujiang Li, Tai-Jiang Mu, Shi-Min Hu:
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition. NeurIPS 2024 - [c13]Le Kang, Tai-Jiang Mu, Xiaodong Ning:
Spoofing Transaction Detection with Group Perceptual Enhanced Graph Neural Network. ECML/PKDD (9) 2024: 106-122 - [c12]Qi-Yuan Feng, Geng-Chen Cao, Hao-Xiang Chen, Qun-Ce Xu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
EVSplitting: An Efficient and Visually Consistent Splitting Algorithm for 3D Gaussian Splatting. SIGGRAPH Asia 2024: 35:1-35:11 - [c11]Qun-Ce Xu, Hao-Xiang Chen, Jiacheng Hua, Xiaohua Zhan, Yong-Liang Yang, Tai-Jiang Mu:
FragmentDiff: A Diffusion Model for Fractured Object Assembly. SIGGRAPH Asia 2024: 58:1-58:12 - [c10]Xiao-Lei Li, Haodong Li, Hao-Xiang Chen, Tai-Jiang Mu, Shi-Min Hu:
DIScene: Object Decoupling and Interaction Modeling for Complex Scene Generation. SIGGRAPH Asia 2024: 101:1-101:12 - [i21]Zi-Kai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-Min Hu:
Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. CoRR abs/2402.18975 (2024) - [i20]Qiyuan Feng, Geng-Chen Cao, Haoxiang Chen, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
A New Split Algorithm for 3D Gaussian Splatting. CoRR abs/2403.09143 (2024) - [i19]Hanchao Liu, Xiaohang Zhan, Shaoli Huang, Tai-Jiang Mu, Ying Shan:
Programmable Motion Generation for Open-Set Motion Control Tasks. CoRR abs/2405.19283 (2024) - [i18]Hanchao Liu, Yujiang Li, Tai-Jiang Mu, Shi-Min Hu:
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition. CoRR abs/2410.23641 (2024) - 2023
- [j34]Hao-Yang Peng, Meng-Hao Guo, Zheng-Ning Liu, Yong-Liang Yang, Tai-Jiang Mu:
MWFormer: Mesh Understanding with Window-based Transformer. Comput. Graph. 115: 382-391 (2023) - [j33]Qun-Ce Xu, Tai-Jiang Mu, Yong-Liang Yang:
A survey of deep learning-based 3D shape generation. Comput. Vis. Media 9(3): 407-442 (2023) - [j32]Tai-Jiang Mu, Hao-Xiang Chen, Junxiong Cai, Ning Guo:
Neural 3D reconstruction from sparse views using geometric priors. Comput. Vis. Media 9(4): 687-697 (2023) - [j31]Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Shi-Min Hu:
Beyond Self-Attention: External Attention Using Two Linear Layers for Visual Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5436-5447 (2023) - [j30]Hanchao Liu, Yuhe Liu, Tai-Jiang Mu, Sharon X. Huang, Shi-Min Hu:
Skeleton-CutMix: Mixing Up Skeleton With Probabilistic Bone Exchange for Supervised Domain Adaptation. IEEE Trans. Image Process. 32: 4046-4058 (2023) - [j29]Junxiong Cai, Wensen Feng, Hao-Xiang Chen, Tai-Jiang Mu:
SPS: Accurate and Real-Time Semantic Positioning System Based on Low-Cost DEM Maps. IEEE Trans. Image Process. 32: 6401-6412 (2023) - [j28]Guo-Ye Yang, Xiang-Li Li, Zi-Kai Xiao, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
Sampling Equivariant Self-Attention Networks for Object Detection in Aerial Images. IEEE Trans. Image Process. 32: 6413-6425 (2023) - [j27]Guo-Wei Yang, Wen-Yang Zhou, Hao-Yang Peng, Dun Liang, Tai-Jiang Mu, Shi-Min Hu:
Recursive-NeRF: An Efficient and Dynamically Growing NeRF. IEEE Trans. Vis. Comput. Graph. 29(12): 5124-5136 (2023) - [j26]Shao-Kui Zhang, Hou Tam, Yi-Xiao Li, Tai-Jiang Mu, Song-Hai Zhang:
SceneViewer: Automating Residential Photography in Virtual Environments. IEEE Trans. Vis. Comput. Graph. 29(12): 5523-5537 (2023) - [c9]Le Kang, Tai-Jiang Mu, Xiaodong Ning:
Conspiracy Spoofing Orders Detection with Transformer-Based Deep Graph Learning. ADMA (2) 2023: 489-503 - [c8]Xiang-Li Li, Meng-Hao Guo, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
Long Range Pooling for 3D Large-Scale Scene Understanding. CVPR 2023: 10300-10311 - [c7]Le Kang, Tai-Jiang Mu, Guoping Zhao:
Hierarchical Transformer-based Siamese Network for Related Trading Detection in Financial Market. IJCNN 2023: 1-8 - [i17]Xiang-Li Li, Meng-Hao Guo, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
Long Range Pooling for 3D Large-Scale Scene Understanding. CoRR abs/2301.06962 (2023) - [i16]Chuanyu Pan, Guowei Yang, Taijiang Mu, Yu-Kun Lai:
Generating Animatable 3D Cartoon Faces from Single Portraits. CoRR abs/2307.01468 (2023) - [i15]Guo-Ye Yang, George Kiyohiro Nakayama, Zi-Kai Xiao, Tai-Jiang Mu, Xiaolei Huang, Shimin Hu:
Semantic-Aware Transformation-Invariant RoI Align. CoRR abs/2312.09609 (2023) - [i14]Qi-Yuan Feng, Hao-Xiang Chen, Qun-Ce Xu, Tai-Jiang Mu:
SLS4D: Sparse Latent Space for 4D Novel View Synthesis. CoRR abs/2312.09743 (2023) - 2022
- [j25]Haoxuan Song, Tai-Jiang Mu, Ralph Robert Martin:
Joint Hand and Object Pose Estimation from a Single RGB Image using High-level 2D Constraints. Comput. Graph. Forum 41(7): 383-394 (2022) - [j24]Zi-Xin Zou, Shi-Sheng Huang, Tai-Jiang Mu, Yu-Ping Wang:
ObjectFusion: Accurate object-level SLAM with neural object priors. Graph. Model. 123: 101165 (2022) - [j23]Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu:
Attention mechanisms in computer vision: A survey. Comput. Vis. Media 8(3): 331-368 (2022) - [j22]Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo, Junxiong Cai, Jiahui Huang, Tai-Jiang Mu, Ralph R. Martin:
Subdivision-based Mesh Convolution Networks. ACM Trans. Graph. 41(3): 25:1-25:16 (2022) - [j21]Zheng-Jun Du, Shi-Sheng Huang, Tai-Jiang Mu, Qunhe Zhao, Ralph R. Martin, Kun Xu:
Accurate Dynamic SLAM Using CRF-Based Long-Term Consistency. IEEE Trans. Vis. Comput. Graph. 28(4): 1745-1757 (2022) - [c6]Yan Shi, Junxiong Cai, Yoli Shavit, Tai-Jiang Mu, Wensen Feng, Kai Zhang:
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching. CVPR 2022: 12507-12516 - [c5]Haoxiang Chen, Jiahui Huang, Tai-Jiang Mu, Shi-Min Hu:
CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-Scale Indoor Scene. ECCV (32) 2022: 506-522 - [i13]Yan Shi, Junxiong Cai, Yoli Shavit, Tai-Jiang Mu, Wensen Feng, Kai Zhang:
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching. CoRR abs/2204.11700 (2022) - [i12]Zi-Xin Zou, Shi-Sheng Huang, Yan-Pei Cao, Tai-Jiang Mu, Ying Shan, Hongbo Fu:
MonoNeuralFusion: Online Monocular Neural 3D Reconstruction with Geometric Priors. CoRR abs/2209.15153 (2022) - 2021
- [j20]Junxiong Cai, Tai-Jiang Mu, Yu-Kun Lai, Shimin Hu:
LinkNet: 2D-3D linked multi-modal network for online semantic segmentation of RGB-D videos. Comput. Graph. 98: 37-47 (2021) - [j19]Meng-Hao Guo, Junxiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
PCT: Point cloud transformer. Comput. Vis. Media 7(2): 187-199 (2021) - [j18]Hanchao Liu, Tai-Jiang Mu, Xiaolei Huang:
Detecting human - object interaction with multi-level pairwise feature network. Comput. Vis. Media 7(2): 229-239 (2021) - [j17]Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Dun Liang, Ralph R. Martin, Shi-Min Hu:
Can attention enable MLPs to catch up with CNNs? Comput. Vis. Media 7(3): 283-288 (2021) - [j16]Haoxuan Song, Jiahui Huang, Yan-Pei Cao, Tai-Jiang Mu:
HDR-Net-Fusion: Real-time 3D dynamic scene reconstruction with a hierarchical deep reinforcement network. Comput. Vis. Media 7(4): 419-435 (2021) - [j15]Shi-Sheng Huang, Ze-Yu Ma, Tai-Jiang Mu, Hongbo Fu, Shi-Min Hu:
Supervoxel Convolution for Online 3D Semantic Segmentation. ACM Trans. Graph. 40(3): 34:1-34:15 (2021) - [i11]Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Shi-Min Hu:
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks. CoRR abs/2105.02358 (2021) - [i10]Guo-Wei Yang, Wen-Yang Zhou, Hao-Yang Peng, Dun Liang, Tai-Jiang Mu, Shi-Min Hu:
Recursive-NeRF: An Efficient and Dynamically Growing NeRF. CoRR abs/2105.09103 (2021) - [i9]Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Dun Liang, Ralph R. Martin, Shi-Min Hu:
Can Attention Enable MLPs To Catch Up With CNNs? CoRR abs/2105.15078 (2021) - [i8]Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo, Junxiong Cai, Jiahui Huang, Tai-Jiang Mu, Ralph R. Martin:
Subdivision-Based Mesh Convolution Networks. CoRR abs/2106.02285 (2021) - [i7]Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu:
Attention Mechanisms in Computer Vision: A Survey. CoRR abs/2111.07624 (2021) - [i6]Haoxiang Chen, Jiahui Huang, Tai-Jiang Mu, Shi-Min Hu:
CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-scale Indoor Scene. CoRR abs/2111.12905 (2021) - 2020
- [j14]Jiahui Huang, Zheng-Fei Kuang, Fang-Lue Zhang, Tai-Jiang Mu:
WallNet: Reconstructing General Room Layouts from RGB Images. Graph. Model. 111: 101076 (2020) - [j13]Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu:
S4Net: Single stage salient-instance segmentation. Comput. Vis. Media 6(2): 191-204 (2020) - [j12]Ding-Nan Zou, Song-Hai Zhang, Tai-Jiang Mu, Min Zhang:
A new dataset of dog breed images and a benchmark for finegrained classification. Comput. Vis. Media 6(4): 477-487 (2020) - [j11]Dun Liang, Yuan-Chen Guo, Shao-Kui Zhang, Tai-Jiang Mu, Xiaolei Huang:
Lane Detection: A Survey with New Results. J. Comput. Sci. Technol. 35(3): 493-505 (2020) - [c4]Jiahui Huang, Sheng Yang, Tai-Jiang Mu, Shi-Min Hu:
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings. CVPR 2020: 2165-2174 - [c3]Shi-Sheng Huang, Ze-Yu Ma, Tai-Jiang Mu, Hongbo Fu, Shi-Min Hu:
Lidar-Monocular Visual Odometry using Point and Line Features. ICRA 2020: 1091-1097 - [i5]Jiahui Huang, Sheng Yang, Tai-Jiang Mu, Shi-Min Hu:
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings. CoRR abs/2003.12980 (2020) - [i4]Jun Hu, Zhongyu Jiang, Xionghao Ding, Peter Hall, Taijiang Mu:
VGPN: Voice-Guided Pointing Robot Navigation for Humans. CoRR abs/2004.01600 (2020) - [i3]Congyue Deng, Tai-Jiang Mu, Shi-Min Hu:
Alternating ConvLSTM: Learning Force Propagation with Alternate State Updates. CoRR abs/2006.07818 (2020) - [i2]Meng-Hao Guo, Junxiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
PCT: Point Cloud Transformer. CoRR abs/2012.09688 (2020)
2010 – 2019
- 2019
- [j10]Junxiong Cai, Tai-Jiang Mu, Yu-Kun Lai, Shi-Min Hu:
Deep point-based scene labeling with depth mapping and geometric patch feature encoding. Graph. Model. 104 (2019) - [j9]Ruochen Fan, Xuanrun Wang, Qibin Hou, Hanchao Liu, Tai-Jiang Mu:
SpinNet: Spinning convolutional network for lane boundary detection. Comput. Vis. Media 5(4): 417-428 (2019) - [j8]Hao Li, Yu-Ping Wang, Tai-Jiang Mu:
Synthesizing Robot Programs with Interactive Tutor Mode. Int. J. Autom. Comput. 16(4): 462-474 (2019) - [j7]Tailing Yuan, Zhe Zhu, Kun Xu, Cheng-Jun Li, Tai-Jiang Mu, Shi-Min Hu:
A Large Chinese Text Dataset in the Wild. J. Comput. Sci. Technol. 34(3): 509-521 (2019) - [c2]Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu:
S4Net: Single Stage Salient-Instance Segmentation. CVPR 2019: 6103-6112 - 2018
- [j6]Sen-Zhe Xu, Jun Hu, Miao Wang, Tai-Jiang Mu, Shi-Min Hu:
Deep Video Stabilization Using Adversarial Networks. Comput. Graph. Forum 37(7): 267-276 (2018) - [j5]Yuan Liang, Fei Xu, Song-Hai Zhang, Yu-Kun Lai, Taijiang Mu:
Knowledge graph construction with structure and parameter learning for indoor scene design. Comput. Vis. Media 4(2): 123-137 (2018) - [c1]Jun Hu, Zhongyu Jiang, Xionghao Ding, Tai-Jiang Mu, Peter Hall:
VGPN: Voice-Guided Pointing Robot Navigation for Humans. ROBIO 2018: 1107-1112 - 2017
- [j4]Hao Li, Yu-Ping Wang, Tai-Jiang Mu:
Nerva: Automated application synthesis for humanoid robot from user natural language description. Commun. Inf. Syst. 17(1): 45-64 (2017) - [j3]Zhao-Heng Zheng, Hao-Tian Zhang, Fang-Lue Zhang, Tai-Jiang Mu:
Image-based clothes changing system. Comput. Vis. Media 3(4): 337-347 (2017) - [i1]Ruochen Fan, Qibin Hou, Ming-Ming Cheng, Tai-Jiang Mu, Shi-Min Hu:
S4Net: Single Stage Salient-Instance Segmentation. CoRR abs/1711.07618 (2017) - 2015
- [j2]Tai-Jiang Mu, Jia-Jia Sun, Ralph R. Martin, Shi-Min Hu:
A response time model for abrupt changes in binocular disparity. Vis. Comput. 31(5): 675-687 (2015) - 2014
- [j1]Tai-Jiang Mu, Ju-Hong Wang, Song-Pei Du, Shi-Min Hu:
Stereoscopic image completion and depth recovery. Vis. Comput. 30(6-8): 833-843 (2014)
Coauthor Index
Ralph R. Martin
aka: Ralph Robert Martin
aka: Ralph Robert Martin
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