7.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- NAVER Cloud (South Korea)KR46 papers
- Seoul National UniversityKR27 papers
- Korea Advanced Institute of Science and TechnologyKR24 papers
- Yonsei UniversityKR17 papers
- Sungkyunkwan UniversityKR12 papers
- Korea UniversityKR9 papers
- Line Corporation (Japan)JP5 papers
- Virginia TechUS5 papers
- Inha UniversityKR4 papers
- Kootenay Association for Science & TechnologyCA4 papers
- University of TorontoCA4 papers
- Hong Kong University of Science and TechnologyHK3 papers
21 papers · 1 filter
Simultaneous Recognition of Horizontal and Vertical Text in Natural Images
Chankyu Choi, Youngmin Yoon, Junsu Lee +1
Recent state-of-the-art scene text recognition methods have primarily focused on horizontal text in images. However, in several Asian countries, including China, large amounts of t…
C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation
Hyojin Park, Youngjoon Yoo, Geonseok Seo +3
One of the practical choices for making a lightweight semantic segmentation model is to combine a depth-wise separable convolution with a dilated convolution. However, the simple c…
QADiver: Interactive Framework for Diagnosing QA Models
Gyeongbok Lee, Sungdong Kim, Seung-won Hwang
Question answering (QA) extracting answers from text to the given question in natural language, has been actively studied and existing models have shown a promise of outperforming…
Perfect match: Improved cross-modal embeddings for audio-visual synchronisation
Soo-Whan Chung, Joon Son Chung, Hong-Goo Kang
This paper proposes a new strategy for learning powerful cross-modal embeddings for audio-to-video synchronization. Here, we set up the problem as one of cross-modal retrieval, whe…
LP-WaveNet: Linear Prediction-based WaveNet Speech Synthesis
Min-Jae Hwang, Frank Soong, Eunwoo Song +3
We propose a linear prediction (LP)-based waveform generation method via WaveNet vocoding framework. A WaveNet-based neural vocoder has significantly improved the quality of parame…
ExcitNet vocoder: A neural excitation model for parametric speech synthesis systems
Eunwoo Song, Kyungguen Byun, Hong-Goo Kang
This paper proposes a WaveNet-based neural excitation model (ExcitNet) for statistical parametric speech synthesis systems. Conventional WaveNet-based neural vocoding systems signi…
Speaker-adaptive neural vocoders for parametric speech synthesis systems
Eunwoo Song, Jin-Seob Kim, Kyungguen Byun +1
This paper proposes speaker-adaptive neural vocoders for parametric text-to-speech (TTS) systems. Recently proposed WaveNet-based neural vocoding systems successfully generate a ti…
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension
Daesik Kim, Seonhoon Kim, Nojun Kwak
In this work, we introduce a novel algorithm for solving the textbook question answering (TQA) task which describes more realistic QA problems compared to other recent tasks. We ma…
NSML: Meet the MLaaS platform with a real-world case study
Hanjoo Kim, Minkyu Kim, Dongjoo Seo +9
The boom of deep learning induced many industries and academies to introduce machine learning based approaches into their concern, competitively. However, existing machine learning…
Multimodal Dual Attention Memory for Video Story Question Answering
Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim +1
We propose a video story question-answering (QA) architecture, Multimodal Dual Attention Memory (MDAM). The key idea is to use a dual attention mechanism with late fusion. MDAM use…
Text Classification using Capsules
Jaeyoung Kim, Sion Jang, Sungchul Choi +1
This paper presents an empirical exploration of the use of capsule networks for text classification. While it has been shown that capsule networks are effective for image classific…
Semi-convolutional Operators for Instance Segmentation
David Novotny, Samuel Albanie, Diane Larlus +1
Object detection and instance segmentation are dominated by region-based methods such as Mask RCNN. However, there is a growing interest in reducing these problems to pixel labelin…
From handcrafted to deep local features
Gabriela Csurka, Christopher R. Dance, Martin Humenberger
This paper presents an overview of the evolution of local features from handcrafted to deep-learning-based methods, followed by a discussion of several benchmarks and papers evalua…
Vehicle Image Generation Going Well with The Surroundings
Jeesoo Kim, Jangho Kim, Jaeyoung Yoo +2
Since the generative neural networks have made a breakthrough in the image generation problem, lots of researches on their applications have been studied such as image restoration,…
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha +1
Variational autoencoders~(VAEs) have shown a promise in data-driven conversation modeling. However, most VAE conversation models match the approximate posterior distribution over t…
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information
Seonhoon Kim, Inho Kang, Nojun Kwak
Sentence matching is widely used in various natural language tasks such as natural language inference, paraphrase identification, and question answering. For these tasks, understan…
Bilinear Attention Networks
Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang
Attention networks in multimodal learning provide an efficient way to utilize given visual information selectively. However, the computational cost to learn attention distributions…
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Byeongho Heo, Minsik Lee, Sangdoo Yun +1
Many recent works on knowledge distillation have provided ways to transfer the knowledge of a trained network for improving the learning process of a new one, but finding a good te…
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
Hyojin Park, YoungJoon Yoo, Nojun Kwak
In this paper, we introduce a new method for generating an object image from text attributes on a desired location, when the base image is given. One step further to the existing s…
Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation
Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho +4
This paper proposes a novel approach to generate multiple color palettes that reflect the semantics of input text and then colorize a given grayscale image according to the generat…
LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images
Gregory Rogez, Philippe Weinzaepfel, Cordelia Schmid
We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images. Key to our approach is the generation and scoring of a number of pose proposals p…