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Francesco Gelli, Tiberio Uricchio, Xiangnan He, Alberto Del Bimbo, Tat-Seng Chua:
Learning Subjective Attributes of Images from Auxiliary Sources
ACM MM 2019 [2019-10-21] PDF

Lei Meng, Long Chen, Xun Yang, Dacheng Tao, Hanwang Zhang, Chunyan Miao:
Learning Using Privileged Information for Food Recognition
ACM MM 2019 [2019-10-21] PDF

Lixi Deng, Jingjing Chen, Qianru Sun, Xiangnan He, Sheng Tang, Zhaoyan Ming, Yongdong Zhang, Tat-Seng Chua:
Mixed-dish Recognition with Contextual Relation Networks
ACM MM 2019 [2019-10-21] PDF

Xindi Shang, Donglin Di, Junbin Xiao, Yu Cao, Xun Yang, Tat-Seng Chua:
Annotating Objects and Relations in User-Generated Videos
ICMR 2019 [2019-06-10] PDF

Yunan Wang, Jingjing Chen, Chong-Wah Ngo, Tat-Seng Chua, Wanli Zuo, Zhaoyan Ming:
Mixed Dish Recognition through Multi-Label Learning
ICMR 2019 [2019-06-10] PDF

Xiaogang Wang, Qianru Sun, Tat-Seng Chua, Marcelo H. Ang Jr.:
Generating Expensive Relationship Features from Cheap Objects
BMVC 2019 [2019-09-09] PDF

Donglin Di, Xindi Shang, Weinan Zhang, Xun Yang, Tat-Seng Chua:
Multiple Hypothesis Video Relation Detection
BigMM 2019 [2019-09-11] PDF

Wenqiang Lei, Weiwen Xu, Aiti Aw, Yuanxin Xiang, Tat Seng Chua:
Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach
EMNLP 2019 [2019-11-03] PDF

Xiang Wang, Xiangnan He & Tat-Seng Chua:
Learning and Reasoning on Graph for Recommendation
CIKM 2019 [2019-11-03] PDF

Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong & Tat-Seng Chua:
MMGCN: Multimodal Graph Convolution Network for Personalized Recommendation of Micro-video
ACM MM 2019 [2019-10-21] PDF

Lei Meng, Ah-Hwee Tan, Chunyan Miao:
Salience-Aware Adaptive Resonance Theory for Large-Scale Sparse Data Clustering
Neural Networks [2019-09-01] PDF

Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation
SIGIR 2019 [2019-07-21] PDF

Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li and Tat-Seng Chua:
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
EMNLP 2019 [2019-11-03] PDF

Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu and Heng Ji:
Low-Resource Name Tagging Learned with Weakly Labeled Data
EMNLP 2019 [2019-11-03] PDF

Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Automatic Fashion Knowledge Extraction from Social Media
ACM MM 2019 [2019-10-21] PDF

Xiaoyu Du, Xun Yang, Zhiguang Qin, Jinhui Tang:
Progressive Image Enhancement under Aesthetic Guidance
ICMR 2019 [2019-06-01] PDF

Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua:
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media
ACM MM 2019 [2019-10-21] PDF

Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
IEEE Transactions on Knowledge and Data Engineering [5-Dec-19] PDF

Zheng Zhang, Lizi Liao, Minlie Huang, Xiaoyan Zhu, Tat-Seng Chua::
Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems
WWW 2019 [13-May-19] PDF

Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning for Few-Shot Learning
CVPR 2019 [16-Jun-19] PDF

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