9 papers
Generative Modeling for Small-Data Object Detection
Lanlan Liu, Michael Muelly, Jia Deng +2
This paper explores object detection in the small data regime, where only a limited number of annotated bounding boxes are available due to data rarity and annotation expense. This…
Feature Partitioning for Efficient Multi-Task Architectures
Alejandro Newell, Lu Jiang, Chong Wang +2
Multi-task learning holds the promise of less data, parameters, and time than training of separate models. We propose a method to automatically search over multi-task architectures…
Composing Text and Image for Image Retrieval - An Empirical Odyssey
Nam Vo, Lu Jiang, Chen Sun +4
In this paper, we study the task of image retrieval, where the input query is specified in the form of an image plus some text that describes desired modifications to the input ima…
Vision-Based Gait Analysis for Senior Care
David Xue, Anin Sayana, Evan Darke +7
As the senior population rapidly increases, it is challenging yet crucial to provide effective long-term care for seniors who live at home or in senior care facilities. Smart senio…
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection
JIyang Gao, Jiang Wang, Shengyang Dai +2
The labeling cost of large number of bounding boxes is one of the main challenges for training modern object detectors. To reduce the dependence on expensive bounding box annotatio…
Focal Visual-Text Attention for Visual Question Answering
Junwei Liang, Lu Jiang, Liangliang Cao +2
Recent insights on language and vision with neural networks have been successfully applied to simple single-image visual question answering. However, to tackle real-life question a…