281 citations · 2k across the 103 of their papers we have counts for
9 papers · 1 filter
Embedding Symbolic Knowledge into Deep Networks
Yaqi Xie, Ziwei Xu, Mohan S. Kankanhalli +2
In this work, we aim to leverage prior symbolic knowledge to improve the performance of deep models. We propose a graph embedding network that projects propositional formulae (and…
Fast Video Object Segmentation via Mask Transfer Network
Tao Zhuo, Zhiyong Cheng, Mohan Kankanhalli
Accuracy and processing speed are two important factors that affect the use of video object segmentation (VOS) in real applications. With the advanced techniques of deep neural net…
Explainable Video Action Reasoning via Prior Knowledge and State Transitions
Tao Zhuo, Zhiyong Cheng, Peng Zhang +2
Human action analysis and understanding in videos is an important and challenging task. Although substantial progress has been made in past years, the explainability of existing me…
User Diverse Preference Modeling by Multimodal Attentive Metric Learning
Fan Liu, Zhiyong Cheng, Changchang Sun +3
Most existing recommender systems represent a user's preference with a feature vector, which is assumed to be fixed when predicting this user's preferences for different items. How…
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection
Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel +3
Supervised machine learning applications in the health domain often face the problem of insufficient training datasets. The quantity of labelled data is small due to privacy concer…
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering
Yangyang Guo, Zhiyong Cheng, Liqiang Nie +3
Benefiting from the advancement of computer vision, natural language processing and information retrieval techniques, visual question answering (VQA), which aims to answer question…
Recognition of Advertisement Emotions with Application to Computational Advertising
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognit…
-softmax: Improving Intra-class Compactness and Inter-class Separability of Features
Yan Luo, Yongkang Wong, Mohan Kankanhalli +1
Intra-class compactness and inter-class separability are crucial indicators to measure the effectiveness of a model to produce discriminative features, where intra-class compactnes…
Towards Robust ResNet: A Small Step but A Giant Leap
Jingfeng Zhang, Bo Han, Laura Wynter +2
This paper presents a simple yet principled approach to boosting the robustness of the residual network (ResNet) that is motivated by the dynamical system perspective. Namely, a de…