79 citations · 406 across the 47 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 6 cited
AOGNets: Compositional Grammatical Architectures for Deep Learning
Xilai Li, Xi Song, Tianfu Wu
Neural architectures are the foundation for improving performance of deep neural networks (DNNs). This paper presents deep compositional grammatical architectures which harness the…
cs.CV2017★ 12 cited
Towards Interpretable R-CNN by Unfolding Latent Structures
Tianfu Wu, Wei Sun, Xilai Li +2
This paper first proposes a method of formulating model interpretability in visual understanding tasks based on the idea of unfolding latent structures. It then presents a case stu…
cs.CV2017★ 11 cited
Scene-centric Joint Parsing of Cross-view Videos
Hang Qi, Yuanlu Xu, Tao Yuan +2
Cross-view video understanding is an important yet under-explored area in computer vision. In this paper, we introduce a joint parsing framework that integrates view-centric propos…