Visual Information Processing and Learning
Visual Information Processing and Learning


Research
Multimedia Computing and Multimodal Intelligent

Leader:Shuqiang Jiang (Professor)

Email:sqjiang [at] ict.ac.cn

under construction......
Research


under construction......

Papers

Journal Papers

1.    Shuqiang Jiang, Weiqing Min, Shuhuan Mei, "Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction," IEEE Transactions on Multimedia, 21(6): 1609–1619, 2019. 【pdf】

2.    Weiqing Min,Shuqiang Jiang, Linhu Liu,Yong Rui and Ramesh Jain, "A Survey on Food Computing," ACM Computing Surveys (CSUR), 52(2): 92:1–92:36, 2019 【pdf】

3.    Weiqing Min, Shuhuan Mei, Linhu Liu, Yi Wang, and Shuqiang Jiang, "Multi-Task Deep Relative Attribute Learning for Visual Urban Perception," IEEE Trans. on Image Processing, 29(1): 657-669, 2019 【pdf】

4.    Shuqiang Jiang, Weiqing Min, Linhu Liu, Zhengdong Luo, "Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition," IEEE Trans. on Image Processing, 29(1): 265-276, 2019. 【pdf】

5.    Chengpeng Chen, Weiqing Min, Xue Li, Shuqiang Jiang, "Hybrid incremental learning of new data and new classes for hand-held object recognition," Journal of Visual Communication and Image Representation(JVCI), 58: 138-148, 2019 【pdf】

6.    Shuhuan Mei, Weiqing Min, Hua Duan, Shuqiang Jiang, "Instance-level object retrieval via deep region CNN," Multimedia Tools and Applications (MTAP), 78(10): 13247-13261, 2019. 【pdf】

7.    Weiqing Min, Bing-Kun Bao, Shuhuan Mei, Yaohui Zhu, Yong Rui, Shuqiang Jiang, "You Are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis," IEEE Trans. Multimedia, 20(4): 950-964, 2018. 【pdf】

8.    Chunjie Zhang, Guibo Zhu, Chao Liang, Yifan Zhang, Qingming Huang, Qi Tian, “Image Class Prediction by Joint Object, Context, and Background Modeling”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 28, Issue 2, 2018, 428-438. 【pdf】

9.    Zhe Xue, Guorong Li*, Shuhui Wang, Weigang Zhang, Qingming Huang*, “Bilevel Multiview Latent Space Learning”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 28, Issue 2, 2018, 327-341. 【pdf】

10.    Dawei Du, Longyin Wen, Honggang Qi, Qingming Huang, Qi Tian, and Siwei Lyu, “Iterative Graph Seeking for Object Tracking”, IEEE Transactions on Image Processing, Vol. 27, Issue 4, 2018, 1809-1821. 【pdf】

11.    Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen, "Learning Effective RGB-D Representations for Scene Recognition," IEEE Transactions on Image Processing (TIP), doi:10.1109/TIP.2018.2872629. 【pdf】

12.    Yuankai Qi, Lei Qin, Jian Zhang, Shengping Zhang, Ming-Hsuan Yang, Qingming Huang, “Structure-aware Local Sparse Coding for Visual Tracking”, IEEE Transactions on Image Processing, Vol. 27, Issue 8, 2018, 3857-3869. 【pdf】

13.    Junbiao Pang, Jing Huang, Xue Yang, Zuyun Wang, Haitao Yu, Qingming Huang, Baocai Yin, “Discovering Fine-Grained Spatial Pattern From Taxi Trips: Where Point Process Meets Matrix Decomposition and Factorization”, IEEE Transactions on Intelligent Transportation Systems, Vol. 19, Issue 10, 2018, 3208 – 3219. 【pdf】

14.    Liang Zhang, Bingpeng Ma, Guorong Li, Qingming Huang, Qi Tian, “Generalized Semi-supervised and Structured Subspace Learning for Cross-modal Retrieval”, IEEE Transactions on Multimedia, Vol. 20, Issue 1, 2018, 128-141. 【pdf】

15.    Xiangyang Li, Shuqiang Jiang, "Bundled Object Context for Referring Expressions," IEEE Transactions on Multimedia (TMM), vol. 20, no. 10, pp. 2749-2760, 2018. 【pdf】

16.    Zhe Xue, Guorong Li, Qingming Huang, "Joint Multi-view Representation and Image Annotation via Optimal Predictive Subspace Learning," Information Science, Vol. 451-452, 2018, 180-194. 【pdf】

17.    Hongyang Yu, Lei Qin, Qingming Huang, Hongxun Yao, "Online Multiple Object Tracking via Exchanging Object Context," Neurocomputing. Vol. 292, 2018, 28-37. 【pdf】

18.    Jianfeng He, Bingpeng Ma, Shuhui Wang, Yugui Liu, Qingming Huang, "Multi-label Double Layers Learning for Cross-Modal Retrieval," Neurocomputing, Vol. 275, 2018, 1893-1902. 【pdf】

19.    Xiaofeng Mao, Shuhui Wang, Liying Zheng, Qingming Huang, "Semantic Invariant Cross-domain Image Generation with Generative Adversarial Networks," Neurocomputing, Vol. 293, 2018, 55-63. 【pdf】

20.    Jiaming Zhang, Shuhui Wang, Qingming Huang, "Location-Based Parallel Tag Completion for Geo-Tagged Social Image Retrieval," ACM Transactions on Intelligent Systems and Technology, vol. 8, no. 3, pp. 1-21, 2017. 【pdf】

Conference Papers

1.    Weiqing Min, Linhu Liu, Zhengdong Luo, Shuqiang Jiang, "Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition," ACM International Conference on Multimedia (ACMMM), 2019. (Accepted)

2.    Xinhang Song, Bohan Wang, Gongwei Chen, Shuqiang Jiang, "MUCH: MUtual Coupling enHancement of scene recognition and dense captioning," ACM International Conference on Multimedia (ACMMM), 2019. (Accepted)

3.    Xinhang Song, Sixian Zhang, Yuyun Hua, Shuqiang Jiang, "Aberrance-aware gradient-sensitive attentions for scene recognition with RGB-D videos," ACM International Conference on Multimedia (ACMMM), 2019. (Accepted)

4.    Yongqing Zhu, Shuqiang Jiang, "Attention-based Densely Connected LSTM for Video Captioning," ACM International Conference on Multimedia (ACMMM), 2019. (Accepted)

5.    Jiangyangbang Yan, Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang, “When to Learn What: Deep Cognitive Subspace Clustering”, 26th ACM International Conference on Multimedia (ACMMM2018), Seoul, Korea, October 22-26, 2018. 【pdf】

6.    Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang,Yuan Yao, “A Margin-based MLE for Crowdsourced Partial Ranking”, 26th ACM International Conference on Multimedia (ACMMM2018), Seoul, Korea, October 22-26, 2018. 【pdf】

7.    Yiling Wu, Shuhui Wang, Qingming Huang, “Learning Semantic Structure-preserved Embeddings for Cross-modal Retrieval”, 26th ACM International Conference on Multimedia (ACMMM2018), Seoul, Korea, October 22-26, 2018. 【pdf】

8.    Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang*, “From Common to Special: When Multi-Attribute Learning Meets Personalized”, 32nd AAAI Conference on Artificial Intelligence (AAAI2018), New Orleans, Lousiana, United States, Feb 2-7, 2018. 【pdf】

9.    Yaohui Zhu, Shuqiang Jiang, "Deep Structured Learning for Visual Relationship Detection," Thirty-Second AAAI Conference on Artificial Intelligence(AAAI2018), New Orleans, Lousiana, USA, February 2-7, 2018. 【pdf】

10.    Yongjian Xin, Shuhui Wang, Liang Li, Weigang Zhang, Qingming Huang, "Reverse Densely Connected Feature Pyramid Network for Object Detection," 14th Asian Conference on Computer Vision (ACCV2018), Perth, Australia, December 2-6, 2018. 【pdf】

11.    Shulin Li, Weigang Zhang, Guorong Li, Li Su, Qingming Huang, "Vehicle Detection in UAV Traffic Video Based on Convolution Neural Network," IEEE 1st International Conference on Multimedia Information Processing and Retrieval(ICESIP2018), Miami, FL, USA, April 10-12, 2018. 【pdf】

12.    Changsu Liao, Li Su, Weigang Zhang, Qingming Huang, "Semantic Manifold Alignment in Visual Feature Space for Zero-Shot Learning," IEEE International Conference on Multimedia and Expo(ICME2018), San Diego, USA, July 23-27, 2018. 【pdf】

13.    Kai Xu, Guorong Li, Huijuan Xu, Weigang Zhang, Qingming Huang, "Edge Guided Generation Network for Video Prediction," IEEE International Conference on Multimedia and Expo(ICME2018)San Diego, USA, July 23-27,2018. 【pdf】

14.    Xiaobin Liu, Shiliang Zhang, Qingming Huang, Wen Gao, "RAM: A Region-Aware Deep Model for Vehicle Re-Identification," IEEE International Conference on Multimedia and Expo(ICME2018), San Diego, USA, July 23-27,2018. 【pdf】

15.    Shuhui Wang, Liang Li, Chenxue Yang and Qingming Huang, "Regularized Topic-aware Latent Influence Propagation in Dynamic Relational Networks," MATES workshop VLDB, 2018. 【pdf】

16.    Chengpeng Chen, Xinhang Song, Shuqiang Jiang, "Focal Loss for Region Proposal Network," The Chinese Conference on Pattern Recognition and Computer Vision(PRCV2018), Guangzhou, China, 2018.11. 【pdf】

17.    Xinhang Song, Luis Herranz, Shuqiang Jiang, "Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs," AAAI Conference on Artificial Intelligence(AAAI2017), 2017. 【pdf】

18.    Liang Zhang, Bingpeng Ma, Guorong Li, Qingming Huang, Qi Tian, "Multi-Networks Joint Learning for Large-Scale Cross-Modal Retrieval," ACM Multimedia Conference(ACMMM2017), Mountain View, CA, USA, 2017. 【pdf】

19.    Weiqing Min, Shuqiang Jiang, Shuhui Wang, Jitao Sang, Shuhuan Mei, "A Delicious Recipe Analysis Framework for Exploring Multi-Modal Recipes with Various Aributes," ACM Multimedia Conference(ACMMM2017), 2017. 【pdf】

20.    Xinhang Song, Chengpeng Chen, Shuqiang Jiang, "RGB-D Scene Recognition with Object-to-Object Relation," ACM Multimedia Conference(ACMMM2017), 2017. 【pdf】


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