325 citations · 523 across the 9 of their papers we have counts for
9 papers
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning
Jiuxiang Gu, Jianfei Cai, Gang Wang +1
The existing image captioning approaches typically train a one-stage sentence decoder, which is difficult to generate rich fine-grained descriptions. On the other hand, multi-stage…
An Empirical Study of Language CNN for Image Captioning
Jiuxiang Gu, Gang Wang, Jianfei Cai +1
Language Models based on recurrent neural networks have dominated recent image caption generation tasks. In this paper, we introduce a Language CNN model which is suitable for stat…
In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-Region Segmentation
Yuka Kihara, Matvey Soloviev, Tsuhan Chen
We present a new algorithm for multi-region segmentation of 2D images with objects that may partially occlude each other. Our algorithm is based on the observation hat human perfor…
QUOTE: "Querying" Users as Oracles in Tag Engines - A Semi-Supervised Learning Approach to Personalized Image Tagging
Amandianeze O. Nwana, Tsuhan Chen
One common trend in image tagging research is to focus on visually relevant tags, and this tends to ignore the personal and social aspect of tags, especially on photoblogging websi…
Who Ordered This?: Exploiting Implicit User Tag Order Preferences for Personalized Image Tagging
Amandianeze O. Nwana, Tsuhan Chen
What makes a person pick certain tags over others when tagging an image? Does the order that a person presents tags for a given image follow an implicit bias that is personal? Can…
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen +9
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural language processing. Amon…
Deep Neural Network for Real-Time Autonomous Indoor Navigation
Dong Ki Kim, Tsuhan Chen
Autonomous indoor navigation of Micro Aerial Vehicles (MAVs) possesses many challenges. One main reason is that GPS has limited precision in indoor environments. The additional fac…
Towards Understanding User Preferences from User Tagging Behavior for Personalization
Amandianeze O. Nwana, Tshuan Chen
Personalizing image tags is a relatively new and growing area of research, and in order to advance this research community, we must review and challenge the de-facto standard of de…
A Latent Social Approach to YouTube Popularity Prediction
Amandianeze O Nwana, Salman Avestimehr, Tsuhan Chen
Current works on Information Centric Networking assume the spectrum of caching strategies under the Least Recently/ Frequently Used (LRFU) scheme as the de-facto standard, due to t…