81 citations · 387 across the 28 of their papers we have counts for
6 papers · 1 filter
Generalized Deep Image to Image Regression
Venkataraman Santhanam, Vlad I. Morariu, Larry S. Davis
We present a Deep Convolutional Neural Network architecture which serves as a generic image-to-image regressor that can be trained end-to-end without any further machinery. Our pro…
Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition
Yaming Wang, Vlad I. Morariu, Larry S. Davis
Compared to earlier multistage frameworks using CNN features, recent end-to-end deep approaches for fine-grained recognition essentially enhance the mid-level learning capability o…
Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval
Ang Li, Jin Sun, Joe Yue-Hei Ng +3
Spatial relationships between objects provide important information for text-based image retrieval. As users are more likely to describe a scene from a real world perspective, usin…
The Role of Context Selection in Object Detection
Ruichi Yu, Xi Chen, Vlad I. Morariu +1
We investigate the reasons why context in object detection has limited utility by isolating and evaluating the predictive power of different context cues under ideal conditions in…
Modeling Context Between Objects for Referring Expression Understanding
Varun K. Nagaraja, Vlad I. Morariu, Larry S. Davis
Referring expressions usually describe an object using properties of the object and relationships of the object with other objects. We propose a technique that integrates context b…
Mining Discriminative Triplets of Patches for Fine-Grained Classification
Yaming Wang, Jonghyun Choi, Vlad I. Morariu +1
Fine-grained classification involves distinguishing between similar sub-categories based on subtle differences in highly localized regions; therefore, accurate localization of disc…