86 citations · 685 across the 67 of their papers we have counts for
8 papers · 1 filter
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
YoungJoon Yoo, Seonguk Park, Junyoung Choi +2
This paper proposes a new algorithm for controlling classification results by generating a small additive perturbation without changing the classifier network. Our work is inspired…
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…
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning
Simyung Chang, YoungJoon Yoo, Jaeseok Choi +1
We introduce a novel method to train agents of reinforcement learning (RL) by sharing knowledge in a way similar to the concept of using a book. The recorded information in the for…
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…