Multimedia Computing and Multimodal Intelligent
Leader: Shuqiang Jiang (Professor)
Email: sqjiang [at] ict.ac.cn
Introduction of research group
Papers

Journal Papers

  • Yaohui Zhu, Weiqing Min and Shuqiang Jiang. Attribute-Guided Feature Learning for Few-Shot Image Recognition. IEEE Transactions on Multimedia (TMM), 23: 1200-1209, 2021.
  • 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, 2020.
  • Xiangyang Li, Luis Herranz, Shuqiang Jiang. Multifaceted Analysis of Fine-Tuning in a Deep Model for Visual Recognition[J]. ACM Transactions on Data Science (ACM TDS), vol. 1, no. 1, pp. 4:1-4:22, 2020.
  • Xinhang Song, Shuqiang Jiang, Bohan Wang, Chengpeng Chen, Gongwei Chen, "Image Representations with Spatial Object-to-Object Relations for RGB-D Scene Recognition," IEEE Transactions on Image Processing (TIP), vol.29, pp.525-537, 2020.
  • Shuqiang Jiang, Weiqing Min, Yongqiang Lyu, Linhu Liu, "Few-Shot Food Recognition via Multi-View Representation Learning," ACM Transactions on Multimedia Computing, Communications and Applications, vol.16, no.3, pp.87:1-87:20, 2020.
  • Weiqing Min, Shuhuan Mei, Zhuo Li and Shuqiang Jiang, "A Two-Stage Triplet Network Training Framework for Image Retrieval," IEEE Trans. Multim. 22(12): 3128-3138 (2020)
  • 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, 2020.
  • Gongwei Chen, Xinhang Song, Haitao Zeng, Shuqiang Jiang, \"Scene Recognition With Prototype-Agnostic Scene Layout,\" IEEE Transactions on Image Processing (TIP), vol.29, pp.5877-5888, 2020.
  • Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen, "Learning Effective RGB-D Representations for Scene Recognition," IEEE Transactions on Image Processing (TIP), Vol. 28, No. 2, pp. 980-993, February 2019.
  • 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
  • Xiangyang Li, Shuqiang Jiang, “Know More Say Less: Image Captioning Based on Scene Graphs,” IEEE Transactions on Multimedia (TMM), vol.21, no.8, pp.2117-2130, Aug.2019.
  • 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.
  • Weiqing Min, Shuqiang Jiang, and Ramesh Jain, "Food Recommendation: Framework, Existing Solutions and Challenges," IEEE Transactions on Multimedia (TMM), vol.22, no.10, pp.2659-2671, 2020.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Conference Papers

  • Xinhang Song, Sixian Zhang, Yuyun Hua, Shuqiang Jiang, \"Aberrance-aware gradient-sensitive attentions for scene recognition with RGB-D videos,\" 27th ACM International Conference on Multimedia (ACM Multimedia 2019), Nice, France, October 21-25, 2019.
  • Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang, Xiaoming Wei, Xiaolin Wei and Shuqiang Jiang. Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough. AAAI Conference on Artificial Intelligence (AAAI), 2022. (Accepted)
  • Tianyu Zhang, Weiqing Min, Ying Zhu, Yong Rui, Shuqiang Jiang, "An Egocentric Action Anticipation Framework via Fusing Intuition and Analysis," 28th ACM International Conference on Multimedia (ACM Multimedia 2020), pp.402-410, Seattle, United States, October 12-16, 2020.
  • Xinhang Song, Haitao Zeng, Sixian Zhang, Luis Herranz, Shuqiang Jiang, "Generalized Zero-shot Learning with Multi-source Semantic Embeddings for Scene Recognition," 28th ACM International Conference on Multimedia (ACM Multimedia 2020), Seattle, United States, October 12-16, 2020.
  • Weiqing Min, Linhu Liu, Zhiling Wang, Zhengdong Luo, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang, "ISIA Food-500: A dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network," 28th ACM International Conference on Multimedia (ACM Multimedia 2020), pp.393-401, Seattle, United States, October 12-16, 2020.
  • Xiaoqian Guo, Xiangyang Li, Shuqiang Jiang, "Expressional Region Retrieval," 28th ACM International Conference on Multimedia (ACM Multimedia 2020), pp.2581-2589, Seattle, United States, October 12-16, 2020.
  • Tianyu Zhang, Weiqing Min, Jiahao Yang, Tao Liu, Shuqiang Jiang and Yong Rui. What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation. International Joint Conference on Artificial Intelligence (IJCAI), pp. 1316-1322, Virtual Event / Montreal Canada, Aug. 19-26, 2021.
  • Weijie Li, Xinhang Song, Yubing Bai, Sixian Zhang and Shuqiang Jiang. ION: Instance-level Object Navigation. ACM International Conference on Multimedia (ACM Multimedia), pp. 4343-4352, Chengdu, China, Oct. 20-24, 2021.
  • Sixian Zhang, Xinhang Song, Yubing Bai, Weijie Li, Yakui Chu and Shuqiang Jiang. Hierarchical Object-to-zone Graph for Object Navigation. IEEE/CVF International Conference on Computer Vision (ICCV), pages 15130–15140, Montreal, Canada, Oct. 11-17, 2021.
  • Gongwei Chen, Xinhang Song, Bohan Wang and Shuqiang Jiang. See More for Scene: Pairwise Consistency Learning for Scene Classification. Annual Conference on Neural Information Processing Systems (NeurIPS), 2021. (Accepted)
  • 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.
  • 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.
  • Weiqing Min, Linhu Liu, Zhengdong Luo, Shuqiang Jiang, \"Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition,\" 27th ACM International Conference on Multimedia (ACM Multimedia 2019), Nice, France, October 21-25, 2019.
  • Yongqing Zhu, Shuqiang Jiang. “Attention-based Densely Connected LSTM for Video Captioning,” 27th ACM International Conference on Multimedia (ACM Multimedia 2019), Nice, France, October 21-25, 2019.
  • Xinhang Song, Bohan Wang, Gongwei Chen, Shuqiang Jiang, \"MUCH: MUtual Coupling enHancement of scene recognition and dense captioning,\" 27th ACM International Conference on Multimedia (ACM Multimedia 2019), Nice, France, October 21-25, 2019.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.