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2020 – today
- 2021
[j16]Wen Wang, Xiaojiang Peng, Yanzhou Su, Yu Qiao, Jian Cheng:
TTPP: Temporal Transformer with Progressive Prediction for efficient action anticipation. Neurocomputing 438: 270-279 (2021)- [i19]Qing Li, Xiaojiang Peng, Yu Qiao, Qi Hao:
Unsupervised Person Re-Identification with Multi-Label Learning Guided Self-Paced Clustering. CoRR abs/2103.04580 (2021) - [i18]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Detecting Human-Object Interaction via Fabricated Compositional Learning. CoRR abs/2103.08214 (2021) - [i17]Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Affordance Transfer Learning for Human-Object Interaction Detection. CoRR abs/2104.02867 (2021) - 2020
- [j15]Jiaze Wang, Xiaojiang Peng, Yu Qiao:
Cascade multi-head attention networks for action recognition. Comput. Vis. Image Underst. 192: 102898 (2020) - [j14]Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao, Qiang Peng:
Product image recognition with guidance learning and noisy supervision. Comput. Vis. Image Underst. 196: 102963 (2020) - [j13]Xiaoxing Zeng, Xiaojiang Peng, Yali Wang, Yu Qiao:
Finding hard faces with better proposals and classifier. Mach. Vis. Appl. 31(7): 61 (2020) - [j12]Qing Li, Xiaojiang Peng, Yu Qiao, Qiang Peng:
Learning label correlations for multi-label image recognition with graph networks. Pattern Recognit. Lett. 138: 378-384 (2020) - [j11]Kai Wang
, Xiaojiang Peng, Jianfei Yang, Debin Meng, Yu Qiao:
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition. IEEE Trans. Image Process. 29: 4057-4069 (2020) - [c26]Sijie Ji, Kai Wang, Xiaojiang Peng, Jianfei Yang, Zhaoyang Zeng, Yu Qiao:
Multiple Transfer Learning and Multi-label Balanced Training Strategies for Facial AU Detection In the Wild. CVPR Workshops 2020: 1657-1661 - [c25]Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, Yu Qiao:
Suppressing Uncertainties for Large-Scale Facial Expression Recognition. CVPR 2020: 6896-6905 - [c24]Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao:
Visual Compositional Learning for Human-Object Interaction Detection. ECCV (15) 2020: 584-600 - [c23]Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao:
Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition. ECCV (21) 2020: 649-665 - [c22]Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, Yu Qiao:
Suppressing Mislabeled Data via Grouping and Self-attention. ECCV (16) 2020: 786-802 - [c21]Xingyu Fan, Zhongying Deng, Kai Wang, Xiaojiang Peng, Yu Qiao:
Learning Discriminative Representation For Facial Expression Recognition From Uncertainties. ICIP 2020: 903-907 - [i16]Wen Wang, Xiaojiang Peng, Yu Qiao, Jian Cheng:
A Comprehensive Study on Temporal Modeling for Online Action Detection. CoRR abs/2001.07501 (2020) - [i15]Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, Yu Qiao:
Suppressing Uncertainties for Large-Scale Facial Expression Recognition. CoRR abs/2002.10392 (2020) - [i14]Wen Wang, Xiaojiang Peng, Yanzhou Su, Yu Qiao, Jian Cheng:
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation. CoRR abs/2003.03530 (2020) - [i13]Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao:
Visual Compositional Learning for Human-Object Interaction Detection. CoRR abs/2007.12407 (2020) - [i12]Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, Yu Qiao:
Suppressing Mislabeled Data via Grouping and Self-Attention. CoRR abs/2010.15603 (2020) - [i11]Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao:
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition. CoRR abs/2012.02994 (2020) - [i10]Kai Wang, Yuxin Gu, Xiaojiang Peng, Baigui Sun, Hao Li:
AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition. CoRR abs/2012.10078 (2020) - [i9]Hengshun Zhou, Debin Meng, Yuanyuan Zhang, Xiaojiang Peng, Jun Du, Kai Wang, Yu Qiao:
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition. CoRR abs/2012.13912 (2020)
2010 – 2019
- 2019
- [j10]Longtao Chen, Xiaojiang Peng, Mingwu Ren:
Recurrent Metric Networks and Batch Multiple Hypothesis for Multi-Object Tracking. IEEE Access 7: 3093-3105 (2019) - [j9]Ge Jiao, Xiaojiang Peng, Kaiwen Duan:
Image Encryption with The Cross Diffusion of Two Chaotic Maps. KSII Trans. Internet Inf. Syst. 13(2): 1064-1079 (2019) - [j8]Zhongying Deng, Xiaojiang Peng, Zhifeng Li, Yu Qiao:
Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition. IEEE Trans. Image Process. 28(6): 3102-3114 (2019) - [c20]Zhongying Deng, Xiaojiang Peng, Yu Qiao:
Residual Compensation Networks for Heterogeneous Face Recognition. AAAI 2019: 8239-8246 - [c19]Xiaoxing Zeng, Xiaojiang Peng, Yu Qiao:
DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction. ICCV 2019: 2315-2324 - [c18]Jin Ye, Xiaojiang Peng, Yu Qiao, Hao Xing, Junli Li, Rongrong Ji:
Visual-Textual Sentiment Analysis in Product Reviews. ICIP 2019: 869-873 - [c17]Debin Meng, Xiaojiang Peng, Kai Wang, Yu Qiao:
Frame Attention Networks for Facial Expression Recognition in Videos. ICIP 2019: 3866-3870 - [c16]Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. ICMI 2019: 551-556 - [c15]Da Guo, Kai Wang, Jianfei Yang, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Exploring Regularizations with Face, Body and Image Cues for Group Cohesion Prediction. ICMI 2019: 557-561 - [c14]Hengshun Zhou, Debin Meng, Yuanyuan Zhang, Xiaojiang Peng, Jun Du, Kai Wang, Yu Qiao:
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition. ICMI 2019: 562-566 - [c13]Muchao Ye, Xiaojiang Peng, Weihao Gan, Wei Wu, Yu Qiao:
AnoPCN: Video Anomaly Detection via Deep Predictive Coding Network. ACM Multimedia 2019: 1805-1813 - [i8]Kai Wang, Xiaojiang Peng, Jianfei Yang, Debin Meng, Yu Qiao:
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition. CoRR abs/1905.04075 (2019) - [i7]Debin Meng, Xiaojiang Peng, Kai Wang, Yu Qiao:
frame attention networks for facial expression recognition in videos. CoRR abs/1907.00193 (2019) - [i6]Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. CoRR abs/1907.03422 (2019) - [i5]Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao:
Product Image Recognition with Guidance Learning and Noisy Supervision. CoRR abs/1907.11384 (2019) - [i4]Qing Li, Xiaojiang Peng, Yu Qiao, Qiang Peng:
Learning Category Correlations for Multi-label Image Recognition with Graph Networks. CoRR abs/1909.13005 (2019) - 2018
- [j7]Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek:
Frankenstein: Learning Deep Face Representations Using Small Data. IEEE Trans. Image Process. 27(1): 293-303 (2018) - [c12]Jianfei Yang, Kai Wang, Xiaojiang Peng, Yu Qiao:
Deep Recurrent Multi-instance Learning with Spatio-temporal Features for Engagement Intensity Prediction. ICMI 2018: 594-598 - [c11]Kai Wang, Xiaoxing Zeng, Jianfei Yang, Debin Meng, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues. ICMI 2018: 640-645 - 2017
- [c10]Lianzhi Tan, Kaipeng Zhang, Kai Wang, Xiaoxing Zeng, Xiaojiang Peng, Yu Qiao:
Group emotion recognition with individual facial emotion CNNs and global image based CNNs. ICMI 2017: 549-552 - 2016
- [j6]Xiaojiang Peng, Limin Wang, Xingxing Wang, Yu Qiao:
Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice. Comput. Vis. Image Underst. 150: 109-125 (2016) - [j5]Changqing Zou, Tianfan Xue, Xiaojiang Peng, Honghua Li, Baochang Zhang, Ping Tan, Jianzhuang Liu:
An example-based approach to 3D man-made object reconstruction from line drawings. Pattern Recognit. 60: 543-553 (2016) - [c9]Xiaojiang Peng, Cordelia Schmid:
Multi-region Two-Stream R-CNN for Action Detection. ECCV (4) 2016: 744-759 - [i3]Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek:
Frankenstein: Learning Deep Face Representations using Small Data. CoRR abs/1603.06470 (2016) - 2015
- [j4]Changqing Zou, Xiaojiang Peng, Hao Lv, Shifeng Chen, Hongbo Fu, Jianzhuang Liu:
Sketch-based 3-D modeling for piecewise planar objects in single images. Comput. Graph. 46: 130-137 (2015) - [j3]Huihuang Zhao, Yaonan Wang, Xiaojiang Peng, Zhijun Qiao:
Gradient-based compressive sensing for noise image and video reconstruction. IET Commun. 9(7): 940-946 (2015) - [c8]Jingyu Liu, Yongzhen Huang, Xiaojiang Peng, Liang Wang:
Multi-view descriptor mining via codeword net for action recognition. ICIP 2015: 793-797 - 2014
- [j2]Xiaojiang Peng, Yu Qiao, Qiang Peng:
Motion boundary based sampling and 3D co-occurrence descriptors for action recognition. Image Vis. Comput. 32(9): 616-628 (2014) - [j1]Xiaojiang Peng, Yu Qiao, Qiang Peng, Qiong-Hua Wang:
Large Margin Dimensionality Reduction for Action Similarity Labeling. IEEE Signal Process. Lett. 21(8): 1022-1025 (2014) - [c7]Zhuowei Cai, Limin Wang, Xiaojiang Peng, Yu Qiao:
Multi-view Super Vector for Action Recognition. CVPR 2014: 596-603 - [c6]Xiaojiang Peng, Limin Wang, Zhuowei Cai, Yu Qiao:
Action and Gesture Temporal Spotting with Super Vector Representation. ECCV Workshops (1) 2014: 518-527 - [c5]Xiaojiang Peng, Changqing Zou, Yu Qiao, Qiang Peng:
Action Recognition with Stacked Fisher Vectors. ECCV (5) 2014: 581-595 - [c4]Xiaojiang Peng, Limin Wang, Yu Qiao, Qiang Peng:
Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics. ECCV (3) 2014: 660-674 - [c3]Xiaojiang Peng, Limin Wang, Yu Qiao, Qiang Peng:
A Joint Evaluation of Dictionary Learning and Feature Encoding for Action Recognition. ICPR 2014: 2607-2612 - [i2]Xiaojiang Peng, Limin Wang, Xingxing Wang, Yu Qiao:
Bag of Visual Words and Fusion Methods for Action Recognition: Comprehensive Study and Good Practice. CoRR abs/1405.4506 (2014) - 2013
- [c2]Xiaojiang Peng, Yu Qiao, Qiang Peng, Xianbiao Qi:
Exploring Motion Boundary based Sampling and Spatial-Temporal Context Descriptors for Action Recognition. BMVC 2013 - [c1]Xiaojiang Peng, Xiao Wu, Qiang Peng, Xianbiao Qi, Yu Qiao, Yanhua Liu:
Exploring dense trajectory feature and encoding methods for human interaction recognition. ICIMCS 2013: 23-27 - [i1]Xiaojiang Peng, Qiang Peng, Yu Qiao, Junzhou Chen, Mehtab Afzal:
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification. CoRR abs/1309.0309 (2013)
Coauthor Index
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