560 citations · 782 across the 15 of their papers we have counts for
4 papers · 1 filter
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering
Zhou Yu, Jun Yu, Jianping Fan +1
Visual question answering (VQA) is challenging because it requires a simultaneous understanding of both the visual content of images and the textual content of questions. The appro…
Beyond Bilinear: Generalized Multimodal Factorized High-order Pooling for Visual Question Answering
Zhou Yu, Jun Yu, Chenchao Xiang +2
Visual question answering (VQA) is challenging because it requires a simultaneous understanding of both visual content of images and textual content of questions. To support the VQ…
Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition
Tianyi Zhao, Baopeng Zhang, Wei Zhang +3
In this paper, a level-wise mixture model (LMM) is developed by embedding visual hierarchy with deep networks to support large-scale visual recognition (i.e., recognizing thousands…
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition
Tianyi Zhao, Jun Yu, Zhenzhong Kuang +2
In this paper, a deep mixture of diverse experts algorithm is developed for seamlessly combining a set of base deep CNNs (convolutional neural networks) with diverse outputs (task…