86 citations · 685 across the 67 of their papers we have counts for
6 papers · 2 filters
Broadcasting Convolutional Network for Visual Relational Reasoning
Simyung Chang, John Yang, Seonguk Park +1
In this paper, we propose the Broadcasting Convolutional Network (BCN) that extracts key object features from the global field of an entire input image and recognizes their relatio…
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams
Daesik Kim, Youngjoon Yoo, Jeesoo Kim +2
In this work, we introduce a new algorithm for analyzing a diagram, which contains visual and textual information in an abstract and integrated way. Whereas diagrams contain richer…
Where to Play: Retrieval of Video Segments using Natural-Language Queries
Sangkuk Lee, Daesik Kim, Myunggi Lee +2
In this paper, we propose a new approach for retrieval of video segments using natural language queries. Unlike most previous approaches such as concept-based methods or rule-based…
Residual Features and Unified Prediction Network for Single Stage Detection
Kyoungmin Lee, Jaeseok Choi, Jisoo Jeong +1
Recently, a lot of single stage detectors using multi-scale features have been actively proposed. They are much faster than two stage detectors that use region proposal networks (R…
Superpixel-based Semantic Segmentation Trained by Statistical Process Control
Hyojin Park, Jisoo Jeong, Youngjoon Yoo +1
Semantic segmentation, like other fields of computer vision, has seen a remarkable performance advance by the use of deep convolution neural networks. However, considering that nei…
Enhancement of SSD by concatenating feature maps for object detection
Jisoo Jeong, Hyojin Park, Nojun Kwak
We propose an object detection method that improves the accuracy of the conventional SSD (Single Shot Multibox Detector), which is one of the top object detection algorithms in bot…