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ORCIDXiang Xiang 0001
Person information
- unicode name: 项翔
- affiliation: Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China
- affiliation (former, PhD 2018): Johns Hopkins University, Department of Computer Science, Baltimore, MD, USA
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2020 – today
- 2024
[j5]Xiang Xiang
, Zihan Zhang, Xilin Chen:
Curricular-balanced long-tailed learning. Neurocomputing 571: 127121 (2024)- [c28]Yao Deng, Xiang Xiang:
Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning. WACV 2024: 1956-1965 - [c27]Yuwen Tan, Xiang Xiang:
Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition. WACV 2024: 2296-2305 - [i16]Qinhao Zhou, Zihan Zhang, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li:
Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning. CoRR abs/2403.19962 (2024) - [i15]Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li:
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer. CoRR abs/2403.19979 (2024) - 2023
- [j4]Qinhao Zhou, Xiang Xiang, Jing Ma:
Hierarchical Task-Incremental Learning with Feature-Space Initialization Inspired by Neural Collapse. Neural Process. Lett. 55(8): 10811-10827 (2023) - [c26]Yao Deng, Xiang Xiang:
Replaying Styles for Continual Semantic Segmentation Across Domains. ACPR (2) 2023: 297-311 - [c25]Zihan Zhang, Xiang Xiang:
Decoupling MaxLogit for Out-of-Distribution Detection. CVPR 2023: 3388-3397 - [c24]Shouwen Wang, Qian Wan, Xiang Xiang, Zhigang Zeng:
Saliency Regularization for Self-Training with Partial Annotations. ICCV 2023: 1611-1620 - [c23]Yuwen Tan, Xiang Xiang, Yifeng Chen, Hongyi Jing, Shiyang Ye, Chaoran Xue, Hui Xu:
Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models. MICCAI (6) 2023: 411-420 - [c22]Yuwen Tan, Xiang Xiang:
Boundary-Constrained Graph Network for Tooth Segmentation on 3D Dental Surfaces. MLMI@MICCAI (2) 2023: 94-103 - 2022
- [j3]Xiao Wang, Xiang Xiang, Baochang Zhang, Xuhui Liu, Jianying Zheng, Qinglei Hu:
Weakly Supervised Object Detection Based on Active Learning. Neural Process. Lett. 54(6): 5169-5183 (2022) - [j2]Xiang Xiang, Feng Wang, Yuwen Tan, Alan L. Yuille:
Imbalanced regression for intensity series of pain expression from videos by regularizing spatio-temporal face nets. Pattern Recognit. Lett. 163: 152-158 (2022) - [c21]Xiang Xiang:
Bootstrapping Autonomous Lane Changes with Self-supervised Augmented Runs. ECCV Workshops (4) 2022: 118-130 - [c20]Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan L. Yuille, Gregory D. Hager:
Coarse-To-Fine Incremental Few-Shot Learning. ECCV (31) 2022: 205-222 - [c19]Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma:
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation. ECCV (27) 2022: 266-283 - [c18]Shiqi Li, Xiang Xiang:
Lightweight Human Pose Estimation Using Loss Weighted by Target Heatmap. ICPR Workshops (1) 2022: 64-78 - [c17]Xiang Xiang, Zihan Zhang, Xuehua Peng, Jianbo Shao:
Learning-Based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study. MMMI@MICCAI 2022: 89-97 - [i14]Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo:
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR abs/2202.01256 (2022) - [i13]Zihan Zhang, Xiang Xiang:
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation. CoRR abs/2203.00452 (2022) - [i12]Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma:
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation. CoRR abs/2203.06907 (2022) - [i11]Jing Ma, Xiang Xiang, Zihan Zhang, Yuwen Tan, Yiming Wan, Zhigang Zeng, Dacheng Tao:
Mapping Emulation for Knowledge Distillation. CoRR abs/2205.10490 (2022) - [i10]Shiqi Li, Xiang Xiang:
Lightweight Human Pose Estimation Using Heatmap-Weighting Loss. CoRR abs/2205.10611 (2022) - [i9]Zihan Zhang, Xiang Xiang, Xuehua Peng, Jianbo Shao:
A Pilot Study of Relating MYCN-Gene Amplification with Neuroblastoma-Patient CT Scans. CoRR abs/2205.10619 (2022) - 2021
- [i8]Xin Wei, Runqi Qiu, Houyu Yu, Yurun Yang, Haoyu Tian, Xiang Xiang:
Entropy-based Optimization via A* Algorithm for Parking Space Recommendation. CoRR abs/2104.09461 (2021) - [i7]Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma:
Coarse-To-Fine Incremental Few-Shot Learning. CoRR abs/2111.14806 (2021) - 2020
- [c16]Junqin Huang, Zhenhuan Huang, Xiang Xiang, Xuan Gong, Baochang Zhang:
Long-Short Graph Memory Network for Skeleton-based Action Recognition. WACV 2020: 634-641
2010 – 2019
- 2019
- [c15]Xiang Xiang:
Beyond Deep Feature Averaging: Sampling Videos Towards Practical Facial Pain Recognition. CVPR Workshops 2019: 37-42 - 2018
- [j1]Xiang Xiang, Trac D. Tran:
Linear Disentangled Representation Learning for Facial Actions. IEEE Trans. Circuits Syst. Video Technol. 28(12): 3539-3544 (2018) - [c14]Xiang Xiang, Ye Tian, Austin Reiter, Gregory D. Hager, Trac D. Tran:
S3D: Stacking Segmental P3D for Action Quality Assessment. ICIP 2018: 928-932 - [c13]Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie:
Adversarial deep structured nets for mass segmentation from mammograms. ISBI 2018: 847-850 - 2017
- [c12]Xiang Xiang, Dung N. Tran, Trac D. Tran:
Sparse Unsupervised Clustering with Mixture Observations for Video Summarization. AIPR 2017: 1-2 - [c11]Feng Wang, Xiang Xiang, Chang Liu, Trac D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille:
Regularizing face verification nets for pain intensity regression. ICIP 2017: 1087-1091 - [c10]Hao Zhu, Feng Wang, Xiang Xiang, Trac D. Tran:
Supervised hashing with jointly learning embedding and quantization. ICIP 2017: 3715-3719 - [c9]Feng Wang, Xiang Xiang, Jian Cheng, Alan Loddon Yuille:
NormFace: L2 Hypersphere Embedding for Face Verification. ACM Multimedia 2017: 1041-1049 - [i6]Xiang Xiang, Trac D. Tran:
Linear Disentangled Representation Learning for Facial Actions. CoRR abs/1701.03102 (2017) - [i5]Feng Wang, Xiang Xiang, Chang Liu, Trac D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille:
Transferring Face Verification Nets To Pain and Expression Regression. CoRR abs/1702.06925 (2017) - [i4]Feng Wang, Xiang Xiang, Jian Cheng, Alan L. Yuille:
NormFace: L2 Hypersphere Embedding for Face Verification. CoRR abs/1704.06369 (2017) - [i3]Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie:
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms. CoRR abs/1710.09288 (2017) - 2016
- [c8]Xiang Xiang, Trac D. Tran:
Recursively Measured Action Units. MPRSS 2016: 153-159 - [c7]Xiang Xiang, Trac D. Tran:
Pose-Selective Max Pooling for Measuring Similarity. VAAM/FFER@ICPR 2016: 113-126 - [i2]Xiang Xiang, Trac D. Tran:
Pose-Selective Max Pooling for Measuring Similarity. CoRR abs/1609.07042 (2016) - 2015
- [c6]Xiang Xiang, Minh Dao, Gregory D. Hager, Trac D. Tran:
Hierarchical Sparse and Collaborative Low-Rank representation for emotion recognition. ICASSP 2015: 3811-3815 - 2014
- [c5]Xiang Xiang, Daniel Mirota, Austin Reiter, Gregory D. Hager:
Is Multi-model Feature Matching Better for Endoscopic Motion Estimation? CARE@MICCAI 2014: 88-98 - [i1]Xiang Xiang, Minh Dao, Gregory D. Hager, Trac D. Tran:
Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion Recognition. CoRR abs/1410.1606 (2014) - 2012
- [c4]Xiang Xiang, Hong Chang, Jiebo Luo:
Online Web-Data-Driven Segmentation of Selected Moving Objects in Videos. ACCV (2) 2012: 134-146 - 2011
- [c3]Xiang Xiang:
A Localization Framework under Non-rigid Deformation for Robotic Surgery. ISVC (1) 2011: 11-22 - [c2]Xiang Xiang:
An Attempt to Segment Foreground in Dynamic Scenes. ISVC (1) 2011: 124-134
2000 – 2009
- 2008
- [c1]Xiang Xiang, Wenhui Chen, Du Zeng:
Intelligent Target Tracking and Shooting System with Mean Shift. ISPA 2008: 417-421
Coauthor Index
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