67 citations · 192 across the 21 of their papers we have counts for
8 papers · 1 filter
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features
Du Chen, Zewei He, Yanpeng Cao +5
Recently, Convolutional Neural Networks (CNNs) have been successfully adopted to solve the ill-posed single image super-resolution (SISR) problem. A commonly used strategy to boost…
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li, Xin Wang, Siliang Tang +4
Visual navigation is a task of training an embodied agent by intelligently navigating to a target object (e.g., television) using only visual observations. A key challenge for curr…
Learning Dynamic Context Augmentation for Global Entity Linking
Xiyuan Yang, Xiaotao Gu, Sheng Lin +6
Despite of the recent success of collective entity linking (EL) methods, these "global" inference methods may yield sub-optimal results when the "all-mention coherence" assumption…
Walking with MIND: Mental Imagery eNhanceD Embodied QA
Juncheng Li, Siliang Tang, Fei Wu +1
The EmbodiedQA is a task of training an embodied agent by intelligently navigating in a simulated environment and gathering visual information to answer questions. Existing approac…
Informative Visual Storytelling with Cross-modal Rules
Jiacheng Li, Haizhou Shi, Siliang Tang +2
Existing methods in the Visual Storytelling field often suffer from the problem of generating general descriptions, while the image contains a lot of meaningful contents remaining…
KCAT: A Knowledge-Constraint Typing Annotation Tool
Sheng Lin, Luye Zheng, Bo Chen +6
Fine-grained Entity Typing is a tough task which suffers from noise samples extracted from distant supervision. Thousands of manually annotated samples can achieve greater performa…
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision
Qi Zhang, Siliang Tang, Xiang Ren +3
This paper provides a new way to improve the efficiency of the REINFORCE training process. We apply it to the task of instance selection in distant supervision. Modeling the instan…
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering
Bo Chen, Xiaotao Gu, Yufeng Hu +4
Recently, distant supervision has gained great success on Fine-grained Entity Typing (FET). Despite its efficiency in reducing manual labeling efforts, it also brings the challenge…