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2020 – today
- 2022
[j79]B. B. Gupta, Pooja Chaudhary, Xiaojun Chang
, Nadia Nedjah:
Smart defense against distributed Denial of service attack in IoT networks using supervised learning classifiers. Comput. Electr. Eng. 98: 107726 (2022)- [j78]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Brij B. Gupta, Xiaojiang Chen, Xin Wang:
A Survey of Deep Active Learning. ACM Comput. Surv. 54(9): 180:1-180:40 (2022) - [j77]En Yu, Jianhua Ma, Jiande Sun, Xiaojun Chang, Huaxiang Zhang, Alexander G. Hauptmann:
Deep Discrete Cross-Modal Hashing with Multiple Supervision. Neurocomputing 486: 215-224 (2022) - [j76]Di Yuan, Xiu Shu, Nana Fan, Xiaojun Chang, Qiao Liu, Zhenyu He:
Accurate bounding-box regression with distance-IoU loss for visual tracking. J. Vis. Commun. Image Represent. 83: 103428 (2022) - [j75]Bing Liu, Xiaojun Chang, Di Yuan, Yong Yang:
HCDC-SRCF tracker: Learning an adaptively multi-feature fuse tracker in spatial regularized correlation filters framework. Knowl. Based Syst. 238: 107913 (2022) - [j74]Lingling Zhang, Shaowei Wang, Xiaojun Chang, Jun Liu, Zongyuan Ge, Qinghua Zheng:
Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1213-1223 (2022) - [j73]Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong:
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j72]Di Yuan, Xiaojun Chang, Zhihui Li, Zhenyu He:
Learning Adaptive Spatial-Temporal Context-Aware Correlation Filters for UAV Tracking. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 70:1-70:18 (2022) - [j71]Brij B. Gupta, Aakanksha Tewari, Ivan Cvitic, Dragan Perakovic, Xiaojun Chang:
Artificial intelligence empowered emails classifier for Internet of Things based systems in industry 4.0. Wirel. Networks 28(1): 493-503 (2022) - [c75]Yin Yin Low, Angeline Tanvy, Raphaël C.-W. Phan, Xiaojun Chang:
AdverFacial: Privacy-Preserving Universal Adversarial Perturbation Against Facial Micro-Expression Leakages. ICASSP 2022: 2754-2758 - [i62]Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang:
Balancing Generalization and Specialization in Zero-shot Learning. CoRR abs/2201.01961 (2022) - [i61]Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation. CoRR abs/2202.03680 (2022) - [i60]Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang:
Beyond Fixation: Dynamic Window Visual Transformer. CoRR abs/2203.12856 (2022) - [i59]Chengyou Jia, Minnan Luo, Caixia Yan, Xiaojun Chang, Qinghua Zheng:
CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search. CoRR abs/2203.14307 (2022) - [i58]Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang:
Automated Progressive Learning for Efficient Training of Vision Transformers. CoRR abs/2203.14509 (2022) - [i57]Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao:
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. CoRR abs/2204.02148 (2022) - [i56]Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang:
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search. CoRR abs/2204.12726 (2022) - [i55]Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang:
Towards Explanation for Unsupervised Graph-Level Representation Learning. CoRR abs/2205.09934 (2022) - [i54]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CoRR abs/2205.10793 (2022) - [i53]Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang:
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. CoRR abs/2206.01988 (2022) - 2021
- [j70]Zhongke Gao, An-An Liu, Yanhui Wang, Michael Small, Xiaojun Chang, Jürgen Kurths:
IEEE Access Special Section Editorial: Big Data Learning and Discovery. IEEE Access 9: 158064-158073 (2021) - [j69]Wei Sun, Xiaojun Chang:
Ground states of a class of gradient systems of Choquard type with general nonlinearity. Appl. Math. Lett. 122: 107503 (2021) - [j68]Brij B. Gupta, Krishna Yadav, Imran Razzak, Konstantinos E. Psannis, Arcangelo Castiglione, Xiaojun Chang:
A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment. Comput. Commun. 175: 47-57 (2021) - [j67]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Poyao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang:
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions. ACM Comput. Surv. 54(4): 76:1-76:34 (2021) - [j66]Minnan Luo, Xiaojun Chang, Chen Gong:
Reliable shot identification for complex event detection via visual-semantic embedding. Comput. Vis. Image Underst. 213: 103300 (2021) - [j65]Lanlan Yang, Chuihan Kong, Xiaojun Chang, Sicong Zhao, Yang Cao, Shunli Zhang:
Correlation filters with adaptive convolution response fusion for object tracking. Knowl. Based Syst. 228: 107314 (2021) - [j64]Yun Xiao, Wenlong Lei, Lei Lu, Xiaojun Chang, Xia Zheng, Xiaojiang Chen:
CS-GAN: Cross-Structure Generative Adversarial Networks for Chinese calligraphy translation. Knowl. Based Syst. 229: 107334 (2021) - [j63]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su:
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2921-2935 (2021) - [j62]Weili Guan, Xuemeng Song, Tian Gan, Junyu Lin, Xiaojun Chang, Liqiang Nie:
Cooperation Learning From Multiple Social Networks: Consistent and Complementary Perspectives. IEEE Trans. Cybern. 51(9): 4501-4514 (2021) - [j61]Di Yuan, Xiaojun Chang, Po-Yao Huang, Qiao Liu, Zhenyu He:
Self-Supervised Deep Correlation Tracking. IEEE Trans. Image Process. 30: 976-985 (2021) - [j60]Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-weighted Robust LDA for Multiclass Classification with Edge Classes. ACM Trans. Intell. Syst. Technol. 12(1): 4:1-4:19 (2021) - [j59]Xu Lu, Li Liu, Liqiang Nie, Xiaojun Chang, Huaxiang Zhang:
Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval. IEEE Trans. Multim. 23: 4541-4554 (2021) - [c74]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CVPR 2021: 8607-8617 - [c73]Fengda Zhu, Xiwen Liang, Yi Zhu, Qizhi Yu, Xiaojun Chang, Xiaodan Liang:
SOON: Scenario Oriented Object Navigation With Graph-Based Exploration. CVPR 2021: 12689-12699 - [c72]Mitchell Hargreaves, David Ting, Stephen Bajan, Kamron Bhavnagri, Richard Bassed, Xiaojun Chang:
A Generative Deep Learning Approach for Forensic Facial Reconstruction. DICTA 2021: 1-7 - [c71]Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu:
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. FUSION 2021: 1-8 - [c70]Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen:
Vision-Language Navigation with Random Environmental Mixup. ICCV 2021: 1624-1634 - [c69]Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation. ICCV 2021: 8251-8260 - [c68]Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang:
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. ICCV 2021: 12261-12271 - [c67]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers. ICLR 2021 - [c66]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
Transformer Based Multi-Agent Framework. ICME Workshops 2021: 1-2 - [c65]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, M. Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. ICML 2021: 12557-12566 - [c64]Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann:
Person Search Challenges and Solutions: A Survey. IJCAI 2021: 4500-4507 - [c63]Weili Guan, Haokun Wen, Xuemeng Song, Chung-Hsing Yeh, Xiaojun Chang, Liqiang Nie:
Multimodal Compatibility Modeling via Exploring the Consistent and Complementary Correlations. ACM Multimedia 2021: 2299-2307 - [c62]Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Xiaoyun Zhao, Cong Wang, Xin Chen, Zhong Liu, Caineng Pan, Mengke Li, Yingfeng Zheng, Yizhi Liu, Flora D. Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang:
FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark. NeurIPS Datasets and Benchmarks 2021 - [i52]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers. CoRR abs/2101.08001 (2021) - [i51]Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang:
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. CoRR abs/2103.12424 (2021) - [i50]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CoRR abs/2103.13258 (2021) - [i49]Fengda Zhu, Xiwen Liang, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
SOON: Scenario Oriented Object Navigation with Graph-based Exploration. CoRR abs/2103.17138 (2021) - [i48]Pengzhen Ren, Gang Xiao, Xiaojun Chang, Yun Xiao, Zhihui Li, Xiaojiang Chen:
NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition. CoRR abs/2104.01110 (2021) - [i47]Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann:
Scene Graphs: A Survey of Generations and Applications. CoRR abs/2104.01111 (2021) - [i46]Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann:
Person Search Challenges and Solutions: A Survey. CoRR abs/2105.01605 (2021) - [i45]Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Yi-Dong Shen:
Vision-Language Navigation with Random Environmental Mixup. CoRR abs/2106.07876 (2021) - [i44]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. CoRR abs/2106.10784 (2021) - [i43]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Wei Huang, Gholamreza Haffari:
Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective. CoRR abs/2106.11542 (2021) - [i42]Fengda Zhu, Yi Zhu, Xiaodan Liang, Xiaojun Chang:
Deep Learning for Embodied Vision Navigation: A Survey. CoRR abs/2108.04097 (2021) - [i41]Xiangtan Lin, Pengzhen Ren, Chung-Hsing Yeh, Lina Yao, Andy Song, Xiaojun Chang:
Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions. CoRR abs/2109.06057 (2021) - [i40]Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng:
Semantics-Guided Contrastive Network for Zero-Shot Object detection. CoRR abs/2109.06062 (2021) - [i39]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers. CoRR abs/2109.10060 (2021) - [i38]Minnan Luo, Xiaojun Chang, Chen Gong:
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding. CoRR abs/2110.08063 (2021) - [i37]Zutao Jiang, Changlin Li, Xiaojun Chang, Jihua Zhu, Yi Yang:
Dynamic Slimmable Denoising Network. CoRR abs/2110.08940 (2021) - [i36]Ali Hamdi, Flora D. Salim, Du Yong Kim, Xiaojun Chang:
Signature-Graph Networks. CoRR abs/2110.11551 (2021) - [i35]Di Yuan, Xiaojun Chang, Qiao Liu, Dehua Wang, Zhenyu He:
Active Learning for Deep Visual Tracking. CoRR abs/2110.13259 (2021) - [i34]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning. CoRR abs/2111.02139 (2021) - [i33]Miao Zhang, Jilin Hu, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Gholamreza Haffari:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CoRR abs/2111.13204 (2021) - 2020
- [j58]Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu:
Robust optimal graph clustering. Neurocomputing 378: 153-165 (2020) - [j57]Xiangpin Bai, Lei Zhu, Cheng Liang, Jingjing Li, Xiushan Nie, Xiaojun Chang:
Multi-view feature selection via Nonnegative Structured Graph Learning. Neurocomputing 387: 110-122 (2020) - [j56]Amit Kumar Singh, Zhihan Lv, Huimin Lu, Xiaojun Chang:
Guest editorial: Recent trends in multimedia data-hiding: a reliable mean for secure communications. J. Ambient Intell. Humaniz. Comput. 11(5): 1795-1797 (2020) - [j55]Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, Lina Yao:
Memory transformation networks for weakly supervised visual classification. Knowl. Based Syst. 210: 106432 (2020) - [j54]Zongyuan Ge, Dwarikanath Mahapatra, Xiaojun Chang, Zetao Chen, Lianhua Chi, Huimin Lu:
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies. Multim. Tools Appl. 79(21-22): 14889-14902 (2020) - [j53]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Mahesh Prakash, Alexander G. Hauptmann:
Few-shot activity recognition with cross-modal memory network. Pattern Recognit. 108: 107348 (2020) - [j52]Xiaojun Chang, Xiaodan Liang, Yan Yan, Liqiang Nie:
Guest editorial: Image/video understanding and analysis. Pattern Recognit. Lett. 130: 1-3 (2020) - [j51]Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Xiaojun Chang, Yunhao Liu:
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. IEEE Trans. Cybern. 50(7): 3033-3044 (2020) - [j50]Caixia Yan, Qinghua Zheng, Xiaojun Chang, Minnan Luo, Chung-Hsing Yeh, Alexander G. Hauptmann:
Semantics-Preserving Graph Propagation for Zero-Shot Object Detection. IEEE Trans. Image Process. 29: 8163-8176 (2020) - [j49]Wenhe Liu, Xiaojun Chang, Ling Chen, Dinh Phung, Xiaoqin Zhang, Yi Yang, Alexander G. Hauptmann:
Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification. ACM Trans. Intell. Syst. Technol. 11(2): 21:1-21:15 (2020) - [j48]Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann:
Deep Top-$k$ Ranking for Image-Sentence Matching. IEEE Trans. Multim. 22(3): 775-785 (2020) - [j47]Runwu Zhou, Xiaojun Chang, Lei Shi, Yi-Dong Shen, Yi Yang, Feiping Nie:
Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1592-1601 (2020) - [j46]Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie:
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1747-1756 (2020) - [j45]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Mahesh Prakash, Feiping Nie, Xin Wang, Xiaojiang Chen:
Structured Optimal Graph-Based Clustering With Flexible Embedding. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3801-3813 (2020) - [j44]Deepak Ranjan Nayak, Ratnakar Dash, Xiaojun Chang, Banshidhar Majhi, Sambit Bakshi:
Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features. IEEE Trans. Sustain. Comput. 5(3): 416-427 (2020) - [c61]Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. ACL 2020: 8226-8237 - [c60]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CVPR 2020: 876-885 - [c59]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. CVPR 2020: 1986-1995 - [c58]Chong Liu, Xiaojun Chang, Yi-Dong Shen:
Unity Style Transfer for Person Re-Identification. CVPR 2020: 6886-6895 - [c57]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven W. Su:
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization. CVPR 2020: 7806-7815 - [c56]Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks. CVPR 2020: 10009-10019 - [c55]Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-Modal Memory. CVPR 2020: 10727-10736 - [c54]Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao:
Mining Inter-Video Proposal Relations for Video Object Detection. ECCV (21) 2020: 431-446 - [c53]Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang:
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. IJCAI 2020: 2964-2972 - [c52]Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang:
Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. KDD 2020: 297-305 - [c51]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang:
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD 2020: 753-763 - [c50]Po-Yao Huang, Xiaojun Chang, Alexander G. Hauptmann, Eduard H. Hovy:
Forward and Backward Multimodal NMT for Improved Monolingual and Multilingual Cross-Modal Retrieval. ICMR 2020: 53-62 - [c49]Weitao Wang, Ruyang Liu, Meng Wang, Sen Wang, Xiaojun Chang, Yang Chen:
Memory-Based Network for Scene Graph with Unbalanced Relations. ACM Multimedia 2020: 2400-2408 - [c48]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. NeurIPS 2020 - [c47]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven W. Su:
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. NeurIPS 2020 - [c46]Wenhe Liu, Guoliang Kang, Po-Yao Huang, Xiaojun Chang, Lijun Yu, Yijun Qian, Junwei Liang, Liangke Gui, Jing Wen, Peng Chen, Alexander G. Hauptmann:
Argus: Efficient Activity Detection System for Extended Video Analysis. WACV Workshops 2020: 126-133 - [c45]Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu:
Unsupervised Domain Adaptive Graph Convolutional Networks. WWW 2020: 1457-1467 - [i32]Chong Liu, Xiaojun Chang, Yi-Dong Shen:
Unity Style Transfer for Person Re-Identification. CoRR abs/2003.02068 (2020) - [i31]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CoRR abs/2003.05583 (2020) - [i30]Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-modal Memory. CoRR abs/2003.06745 (2020) - [i29]Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. CoRR abs/2005.03119 (2020) - [i28]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang:
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. CoRR abs/2005.11650 (2020) - [i27]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang:
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions. CoRR abs/2006.02903 (2020) - [i26]Mingjie Li, Fuyu Wang, Xiaojun Chang, Xiaodan Liang:
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation. CoRR abs/2006.03744 (2020) - [i25]Zhen Yu, Jennifer Nguyen, Xiaojun Chang, John Kelly, Catriona McLean, Lei Zhang, Victoria Mar, Zongyuan Ge:
Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images. CoRR abs/2006.10950 (2020) - [i24]Siyi Hu, Xiaojun Chang:
Multi-view Drone-based Geo-localization via Style and Spatial Alignment. CoRR abs/2006.13681 (2020) - [i23]Di Yuan, Xiaojun Chang, Zhenyu He:
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking. CoRR abs/2007.01864 (2020) - [i22]Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang:
A Survey of Deep Active Learning. CoRR abs/2009.00236 (2020) - [i21]Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie:
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes. CoRR abs/2009.12362 (2020) - [i20]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. CoRR abs/2010.13501 (2020)
2010 – 2019
- 2019
- [j43]Zhihui Li, Lina Yao, Xiaojun Chang, Kun Zhan, Jiande Sun, Huaxiang Zhang:
Zero-shot event detection via event-adaptive concept relevance mining. Pattern Recognit. 88: 595-603 (2019) - [j42]Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann:
Scheduled sampling for one-shot learning via matching network. Pattern Recognit. 96 (2019) - [j41]Ram Prasad Padhy, Xiaojun Chang, Suman Kumar Choudhury, Pankaj Kumar Sa, Sambit Bakshi:
Multi-stage cascaded deconvolution for depth map and surface normal prediction from single image. Pattern Recognit. Lett. 127: 165-173 (2019) - [j40]Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. IEEE Trans. Cybern. 49(2): 388-402 (2019) - [j39]Kun Zhan, Xiaojun Chang, Junpeng Guan, Ling Chen, Zhigang Ma, Yi Yang:
Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features. IEEE Trans. Cybern. 49(5): 1826-1834 (2019) - [j38]Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie:
Discrete Multi-Graph Clustering. IEEE Trans. Image Process. 28(9): 4701-4712 (2019) - [j37]En Yu, Jiande Sun, Jing Li, Xiaojun Chang, Xian-Hua Han, Alexander G. Hauptmann:
Adaptive Semi-Supervised Feature Selection for Cross-Modal Retrieval. IEEE Trans. Multim. 21(5): 1276-1288 (2019) - [j36]Zhiyong Cheng, Xiaojun Chang