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2020 – today
- 2020
[j48]Guo-Jun Qi
:
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities. Int. J. Comput. Vis. 128(5): 1118-1140 (2020)- [j47]Jun Ye, Guo-Jun Qi, Naifan Zhuang, Hao Hu, Kien A. Hua:
Learning Compact Features for Human Activity Recognition Via Probabilistic First-Take-All. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 126-139 (2020) - [j46]Mohsen Joneidi, Alireza Zaeemzadeh, Behzad Shahrasbi, Guo-Jun Qi, Nazanin Rahnavard:
E-Optimal Sensor Selection for Compressive Sensing-Based Purposes. IEEE Trans. Big Data 6(1): 51-65 (2020) - [j45]Jiwen Lu, Yuxin Peng, Guo-Jun Qi, Jun Yu:
Guest Editorial Introduction to the Special Section on Representation Learning for Visual Content Understanding. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2797-2800 (2020) - [c88]Ning Wang, Wengang Zhou, Guojun Qi, Houqiang Li:
POST: POlicy-Based Switch Tracking. AAAI 2020: 12184-12191 - [c87]Jiayu Wang, Wengang Zhou, Guo-Jun Qi, Zhongqian Fu, Qi Tian, Houqiang Li:
Transformation GAN for Unsupervised Image Synthesis and Representation Learning. CVPR 2020: 469-478 - [c86]Liheng Zhang, Guo-Jun Qi:
WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning. CVPR 2020: 3911-3920 - [c85]Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hongkai Xiong:
Rotation Equivariant Graph Convolutional Network for Spherical Image Classification. CVPR 2020: 4302-4311 - [c84]Xiang Gao, Wei Hu, Guo-Jun Qi:
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. CVPR 2020: 7161-7170 - [c83]Haozhe Wu, Jia Jia, Lingxi Xie, Guojun Qi, Yuanchun Shi, Qi Tian:
Cross-VAE: Towards Disentangling Expression from Identity For Human Faces. ICASSP 2020: 4087-4091 - [c82]Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong:
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search. ICLR 2020 - [e3]Chang Wen Chen, Rita Cucchiara, Xian-Sheng Hua, Guo-Jun Qi, Elisa Ricci, Zhengyou Zhang, Roger Zimmermann:
MM '20: The 28th ACM International Conference on Multimedia, Virtual Event / Seattle, WA, USA, October 12-16, 2020. ACM 2020, ISBN 978-1-4503-7988-5 [contents] - [i40]Mingxing Xu, Wenrui Dai, Chunmiao Liu, Xing Gao, Weiyao Lin, Guo-Jun Qi, Hongkai Xiong:
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting. CoRR abs/2001.02908 (2020) - [i39]Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Guo-Jun Qi, Rui Qian, Tao Wang, Nicu Sebe, Ning Xu, Hongkai Xiong, Mubarak Shah:
Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events. CoRR abs/2005.04490 (2020) - [i38]Haohang Xu, Hongkai Xiong, Guo-Jun Qi:
K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations. CoRR abs/2007.13310 (2020) - [i37]Si Chen, Ruoxi Jia, Guo-Jun Qi:
Improved Techniques for Model Inversion Attacks. CoRR abs/2010.04092 (2020) - [i36]Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi:
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries. CoRR abs/2011.08435 (2020)
2010 – 2019
- 2019
- [j44]Xiangyu Zhu, Hao Liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guojun Qi, Stan Z. Li:
Large-Scale Bisample Learning on ID Versus Spot Face Recognition. Int. J. Comput. Vis. 127(6-7): 684-700 (2019) - [j43]Yanxiang Chen, Guang Wu, Jie Zhou, Guojun Qi:
Image generation via latent space learning using improved combination. Neurocomputing 340: 8-18 (2019) - [j42]Chen Shen, Guo-Jun Qi, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen, Xian-Sheng Hua:
Sharp Attention Network via Adaptive Sampling for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 29(10): 3016-3027 (2019) - [j41]Lu Jin, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang:
Deep Ordinal Hashing With Spatial Attention. IEEE Trans. Image Process. 28(5): 2173-2186 (2019) - [j40]Lu Jin, Kai Li, Zechao Li, Fu Xiao, Guo-Jun Qi, Jinhui Tang:
Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1429-1440 (2019) - [j39]Chen Shen, Zhongming Jin, Wenqing Chu, Rongxin Jiang, Yaowu Chen, Guo-Jun Qi, Xian-Sheng Hua:
Multi-level Similarity Perception Network for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 15(2): 32:1-32:19 (2019) - [j38]Naifan Zhuang, Guo-Jun Qi, The Duc Kieu, Kien A. Hua:
Rethinking the Combined and Individual Orders of Derivative of States for Differential Recurrent Neural Networks: Deep Differential Recurrent Neural Networks. ACM Trans. Multim. Comput. Commun. Appl. 15(3): 83:1-83:21 (2019) - [c81]Hao Hu, Liqiang Wang, Guo-Jun Qi:
Learning to Adaptively Scale Recurrent Neural Networks. AAAI 2019: 3822-3829 - [c80]Muhammad Abdullah Jamal, Guo-Jun Qi:
Task Agnostic Meta-Learning for Few-Shot Learning. CVPR 2019: 11719-11727 - [c79]Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo:
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data. CVPR 2019 - [c78]Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang:
Few-Shot Image Recognition With Knowledge Transfer. ICCV 2019: 441-449 - [c77]Guo-Jun Qi, Liheng Zhang, Chang Wen Chen, Qi Tian:
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations. ICCV 2019: 8129-8138 - [c76]Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang:
Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. IJCAI 2019: 3663-3669 - [c75]Sen Zhang, Changzheng Zhang, Lanjun Wang, Cixing Li, Dandan Tu, Rui Luo, Guojun Qi, Jiebo Luo:
MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network. MLMI@MICCAI 2019: 54-62 - [c74]Changzheng Zhang, Dong Liu, Lanjun Wang, Yaoxin Li, Xiaoshi Chen, Rui Luo, Shuanlong Che, Hehua Liang, Yinghua Li, Si Liu, Dandan Tu, Guojun Qi, Pifu Luo, Jiebo Luo:
DCCL: A Benchmark for Cervical Cytology Analysis. MLMI@MICCAI 2019: 63-72 - [c73]Liheng Zhang, Vivek Singh, Guo-Jun Qi, Terrence Chen:
Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray Angiography. WACV 2019: 91-100 - [c72]Li Ren, Guo-Jun Qi, Kien A. Hua:
Improving Diversity of Image Captioning Through Variational Autoencoders and Adversarial Learning. WACV 2019: 263-272 - [i35]Lu Jin, Jinhui Tang, Zechao Li, Guo-Jun Qi, Fu Xiao:
Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval. CoRR abs/1901.02662 (2019) - [i34]Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo:
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data. CoRR abs/1901.04596 (2019) - [i33]Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang:
Supervised Quantization for Similarity Search. CoRR abs/1902.00617 (2019) - [i32]Hao Hu, Liqiang Wang, Guo-Jun Qi:
Learning to Adaptively Scale Recurrent Neural Networks. CoRR abs/1902.05696 (2019) - [i31]Guo-Jun Qi, Liheng Zhang, Chang Wen Chen, Qi Tian:
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations. CoRR abs/1903.10863 (2019) - [i30]Guo-Jun Qi, Jiebo Luo:
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods. CoRR abs/1903.11260 (2019) - [i29]Naifan Zhuang, Guo-Jun Qi, The Duc Kieu, Kien A. Hua:
Differential Recurrent Neural Network and its Application for Human Activity Recognition. CoRR abs/1905.04293 (2019) - [i28]Guo-Jun Qi:
Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations. CoRR abs/1906.08628 (2019) - [i27]Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong:
PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search. CoRR abs/1907.05737 (2019) - [i26]Xiangbo Shu, Liyan Zhang, Guo-Jun Qi, Wei Liu, Jinhui Tang:
Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction. CoRR abs/1909.13245 (2019) - [i25]Yiheng Liu, Wengang Zhou, Jianzhuang Liu, Guojun Qi, Qi Tian, Houqiang Li:
An End-to-End Foreground-Aware Network for Person Re-Identification. CoRR abs/1910.11547 (2019) - [i24]Qiaokang Xie, Wengang Zhou, Guo-Jun Qi, Qi Tian, Houqiang Li:
Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization. CoRR abs/1910.11560 (2019) - [i23]Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi:
AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups. CoRR abs/1911.07004 (2019) - [i22]Xiang Gao, Wei Hu, Guo-Jun Qi:
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations. CoRR abs/1911.08142 (2019) - [i21]Xiao Wang, Daisuke Kihara, Jiebo Luo, Guo-Jun Qi:
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning. CoRR abs/1911.09265 (2019) - [i20]Haohang Xu, Hongkai Xiong, Guojun Qi:
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers. CoRR abs/1912.12674 (2019) - 2018
- [j37]Liyan Zhang, Guo-Jun Qi, Dong Zhang, Jinhui Tang:
Latent Dirichlet Truth Discovery: Separating Trustworthy and Untrustworthy Components in Data Sources. IEEE Access 6: 1741-1752 (2018) - [j36]Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard, Guo-Jun Qi:
Co-SpOT: Cooperative Spectrum Opportunity Detection Using Bayesian Clustering in Spectrum-Heterogeneous Cognitive Radio Networks. IEEE Trans. Cogn. Commun. Netw. 4(2): 206-219 (2018) - [j35]Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Zechao Li, Yu-Gang Jiang, Shuicheng Yan:
Image Classification With Tailored Fine-Grained Dictionaries. IEEE Trans. Circuits Syst. Video Technol. 28(2): 454-467 (2018) - [j34]Lu Jin, Kai Li, Hao Hu, Guo-Jun Qi, Jinhui Tang:
Semantic Neighbor Graph Hashing for Multimodal Retrieval. IEEE Trans. Image Process. 27(3): 1405-1417 (2018) - [j33]Kai Li, Guo-Jun Qi, Kien A. Hua:
Learning Label Preserving Binary Codes for Multimedia Retrieval: A General Approach. ACM Trans. Multim. Comput. Commun. Appl. 14(1): 2:1-2:23 (2018) - [c71]Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang, Xian-Sheng Hua:
Global Versus Localized Generative Adversarial Nets. CVPR 2018: 1517-1525 - [c70]Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi:
Interleaved Structured Sparse Convolutional Neural Networks. CVPR 2018: 8847-8856 - [c69]Marzieh Edraki, Guo-Jun Qi:
Generalized Loss-Sensitive Adversarial Learning with Manifold Margins. ECCV (5) 2018: 90-104 - [c68]Yiru Zhao, Zhongming Jin, Guo-Jun Qi, Hongtao Lu, Xian-Sheng Hua:
An Adversarial Approach to Hard Triplet Generation. ECCV (9) 2018: 508-524 - [c67]Bin Wang, Guojun Qi, Sheng Tang, Liheng Zhang, Lixi Deng, Yongdong Zhang:
Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates. MICCAI (2) 2018: 759-767 - [c66]Guo-Jun Qi:
Multimedia Content Understanding by Learning from Very Few Examples: Recent Progress on Unsupervised, Semi-Supervised and Supervised Deep Learning Approaches. ICMR 2018: 9 - [c65]Zhihang Fu, Zhongming Jin, Guo-Jun Qi, Chen Shen, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua:
Previewer for Multi-Scale Object Detector. ACM Multimedia 2018: 265-273 - [c64]Liheng Zhang, Marzieh Edraki, Guo-Jun Qi:
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces. NeurIPS 2018: 5819-5828 - [c63]Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li:
Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. WACV 2018: 112-121 - [i19]Naifan Zhuang, The Duc Kieu, Guo-Jun Qi, Kien A. Hua:
Deep Differential Recurrent Neural Networks. CoRR abs/1804.04192 (2018) - [i18]Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi:
IGCV2: Interleaved Structured Sparse Convolutional Neural Networks. CoRR abs/1804.06202 (2018) - [i17]Chen Shen, Guo-Jun Qi, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen, Xian-Sheng Hua:
Sharp Attention Network via Adaptive Sampling for Person Re-identification. CoRR abs/1805.02336 (2018) - [i16]Lu Jin, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang:
Deep Ordinal Hashing with Spatial Attention. CoRR abs/1805.02459 (2018) - [i15]Liheng Zhang, Marzieh Edraki, Guo-Jun Qi:
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces. CoRR abs/1805.07621 (2018) - [i14]Muhammad Abdullah Jamal, Guo-Jun Qi, Mubarak Shah:
Task-Agnostic Meta-Learning for Few-shot Learning. CoRR abs/1805.07722 (2018) - [i13]Kristjan Arumae, Guo-Jun Qi, Fei Liu:
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. CoRR abs/1805.10389 (2018) - [i12]Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Wei Liu, Jian Yang:
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition. CoRR abs/1811.00270 (2018) - [i11]Yunxiao Qin, Weiguo Zhang, Chenxu Zhao, Zezheng Wang, Hailin Shi, Guojun Qi, Jingping Shi, Zhen Lei:
Rethink and Redesign Meta learning. CoRR abs/1812.04955 (2018) - 2017
- [j32]Kai Li, Guo-Jun Qi, Jun Ye, Tuoerhongjiang Yusuph, Kien A. Hua:
Semantic Image Retrieval with Feature Space Rankings. Int. J. Semantic Comput. 11(2): 171-192 (2017) - [j31]Guo-Jun Qi, Wei Liu, Charu C. Aggarwal, Thomas S. Huang:
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1360-1373 (2017) - [j30]Jinhui Tang, Xiangbo Shu, Guo-Jun Qi, Zechao Li, Meng Wang, Shuicheng Yan, Ramesh C. Jain:
Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1662-1674 (2017) - [j29]Kai Li, Guo-Jun Qi, Jun Ye, Kien A. Hua:
Linear Subspace Ranking Hashing for Cross-Modal Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1825-1838 (2017) - [j28]Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal:
Guest Editorial: Big Media Data: Understanding, Search, and Mining. IEEE Trans. Big Data 3(1): 36 (2017) - [j27]Jinhui Tang, Shiyu Chang, Guo-Jun Qi, Qi Tian, Yong Rui, Thomas S. Huang:
LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia. IEEE Trans. Image Process. 26(1): 196-207 (2017) - [j26]Jun Ye, Hao Hu, Guo-Jun Qi, Kien A. Hua:
A Temporal Order Modeling Approach to Human Action Recognition from Multimodal Sensor Data. ACM Trans. Multim. Comput. Commun. Appl. 13(2): 14:1-14:22 (2017) - [c62]Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li:
CLARE: A Joint Approach to Label Classification and Tag Recommendation. AAAI 2017: 210-216 - [c61]Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Yan Song, Zechao Li, Liyan Zhang:
Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition. CVPR Workshops 2017: 2176-2183 - [c60]Hao Hu, Zhaowen Wang, Joon-Young Lee, Zhe L. Lin, Guo-Jun Qi:
Temporal Domain Neural Encoder for Video Representation Learning. CVPR Workshops 2017: 2192-2199 - [c59]Kristjan Arumae, Guo-Jun Qi, Fei Liu:
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. FLAIRS Conference 2017: 26-31 - [c58]Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang:
Interleaved Group Convolutions. ICCV 2017: 4383-4392 - [c57]Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Guo-Jun Qi, Akiko Aizawa:
Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning. ICME 2017: 469-474 - [c56]Hao Hu, Guo-Jun Qi:
State-Frequency Memory Recurrent Neural Networks. ICML 2017: 1568-1577 - [c55]Guo-Jun Qi, Jiliang Tang, Jingdong Wang, Jiebo Luo:
Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting. KDD 2017: 987-995 - [c54]Liheng Zhang, Charu C. Aggarwal, Guo-Jun Qi:
Stock Price Prediction via Discovering Multi-Frequency Trading Patterns. KDD 2017: 2141-2149 - [i10]Guo-Jun Qi:
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities. CoRR abs/1701.06264 (2017) - [i9]Guo-Jun Qi, Wei Liu, Charu C. Aggarwal, Thomas S. Huang:
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes. CoRR abs/1703.07519 (2017) - [i8]Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Yan Song, Zechao Li, Liyan Zhang:
Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition. CoRR abs/1706.00931 (2017) - [i7]Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang:
Interleaved Group Convolutions for Deep Neural Networks. CoRR abs/1707.02725 (2017) - [i6]Guo-Jun Qi, Liheng Zhang, Hao Hu:
Global versus Localized Generative Adversarial Nets. CoRR abs/1711.06020 (2017) - 2016
- [j25]Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Large-scale supervised similarity learning in networks. Knowl. Inf. Syst. 48(3): 707-740 (2016) - [j24]Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal:
Guest Editorial: Big Media Data: Understanding, Search, and Mining. IEEE Trans. Big Data 2(1): 31 (2016) - [j23]Jinhui Tang, Xiangbo Shu, Zechao Li, Guo-Jun Qi, Jingdong Wang:
Generalized Deep Transfer Networks for Knowledge Propagation in Heterogeneous Domains. ACM Trans. Multim. Comput. Commun. Appl. 12(4s): 68:1-68:22 (2016) - [c53]Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang:
Supervised Quantization for Similarity Search. CVPR 2016: 2018-2026 - [c52]Guo-Jun Qi:
Hierarchically Gated Deep Networks for Semantic Segmentation. CVPR 2016: 2267-2275 - [c51]Kai Li, Guojun Qi, Jun Ye, Kien A. Hua:
Cross-modal hashing through ranking subspace learning. ICME 2016: 1-6 - [c50]Kai Li, Guo-Jun Qi, Jun Ye, Tuoerhongjiang Yusuph, Kien A. Hua:
Supervised Ranking Hash for Semantic Similarity Search. ISM 2016: 551-558 - [c49]Hao Hu, Joey Velez-Ginorio, Guo-Jun Qi:
Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detection. KDD 2016: 905-914 - [e2]Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu:
MultiMedia Modeling - 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9516, Springer 2016, ISBN 978-3-319-27670-0 [contents] - [e1]Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu:
MultiMedia Modeling - 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9517, Springer 2016, ISBN 978-3-319-27673-1 [contents] - 2015
- [j22]Ning Xu, Jiangping Wang, Guojun Qi, Thomas S. Huang, Weiyao Lin:
Ontological Random Forests for Image Classification. Int. J. Inf. Retr. Res. 5(3): 61-74 (2015) - [j21]Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal:
Guest Editorial: Big Media Data: Understanding, Search, and Mining. IEEE Trans. Big Data 1(3): 82-83 (2015) - [j20]Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal:
Guest Editorial: Big Media Data: Understanding, Search, and Mining (Part 2). IEEE Trans. Big Data 1(4): 151 (2015) - [j19]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Breaking the Barrier to Transferring Link Information across Networks. IEEE Trans. Knowl. Data Eng. 27(7): 1741-1753 (2015) - [j18]Guo-Jun Qi, Hugo Larochelle, Benoit Huet, Jiebo Luo, Kai Yu:
Guest Editorial: Deep Learning for Multimedia Computing. IEEE Trans. Multim. 17(11): 1873-1874 (2015) - [c48]Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang:
Sparse composite quantization. CVPR 2015: 4548-4556 - [c47]Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi:
Differential Recurrent Neural Networks for Action Recognition. ICCV 2015: 4041-4049 - [c46]Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Heterogeneous Network Embedding via Deep Architectures. KDD 2015: 119-128 - [c45]Guo-Jun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno:
State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness. KDD 2015: 945-954 - [c44]Vivek Veeriah, Rohit Durvasula, Guo-Jun Qi:
Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction. KDD 2015: 1205-1214 - [c43]Jun Ye, Kai Li, Guo-Jun Qi, Kien A. Hua:
Temporal Order-Preserving Dynamic Quantization for Human Action Recognition from Multimodal Sensor Streams. ICMR 2015: 99-106 - [c42]Xiangbo Shu, Guo-Jun Qi, Jinhui Tang, Jingdong Wang:
Weakly-Shared Deep Transfer Networks for Heterogeneous-Domain Knowledge Propagation. ACM Multimedia 2015: 35-44 - [i5]Zhangyang Wang, Xianming Liu, Shiyu Chang, Jiayu Zhou, Guo-Jun Qi, Thomas S. Huang:
Decentralized Recommender Systems. CoRR abs/1503.01647 (2015) - [i4]Kai Li, Guojun Qi, Jun Ye, Kien A. Hua:
Rank Subspace Learning for Compact Hash Codes. CoRR abs/1503.05951 (2015) - [i3]Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi:
Differential Recurrent Neural Networks for Action Recognition. CoRR abs/1504.06678 (2015) - [i2]Jun Ye, Hao Hu, Kai Li, Guo-Jun Qi, Kien A. Hua:
First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos. CoRR abs/1506.02184 (2015) - 2014
- [j17]Jinhui Tang, Dacheng Tao, Guo-Jun Qi, Benoit Huet:
Social media mining and knowledge discovery. Multim. Syst. 20(6): 633-634 (2014)