652 citations · 1.7k across the 25 of their papers we have counts for
11 papers · 1 filter
Semantic Part Segmentation using Compositional Model combining Shape and Appearance
Jianyu Wang, Alan Yuille
In this paper, we study the problem of semantic part segmentation for animals. This is more challenging than standard object detection, object segmentation and pose estimation task…
Representing Data by a Mixture of Activated Simplices
Chunyu Wang, John Flynn, Yizhou Wang +1
We present a new model which represents data as a mixture of simplices. Simplices are geometric structures that generalize triangles. We give a simple geometric understanding that…
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Junhua Mao, Wei Xu, Yi Yang +3
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) model for generating novel image captions. It directly models the probability distribution of generating a w…
Explain Images with Multimodal Recurrent Neural Networks
Junhua Mao, Wei Xu, Yi Yang +2
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) model for generating novel sentence descriptions to explain the content of images. It directly models the pr…
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
Xianjie Chen, Alan Yuille
We present a method for estimating articulated human pose from a single static image based on a graphical model with novel pairwise relations that make adaptive use of local image…
Learning Deep Structured Models
Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille +1
Many problems in real-world applications involve predicting several random variables which are statistically related. Markov random fields (MRFs) are a great mathematical tool to e…