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2020 – today
- 2023
[j28]Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko
:
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. IEEE Trans. Vis. Comput. Graph. 29(1): 1102-1112 (2023)- 2022
- [c91]Junwoo Park, Youngwoo Cho, Gyuhyeon Sim, Hojoon Lee, Jaegul Choo:
Enemy Spotted: In-game Gun Sound Dataset for Gunshot Classification and Localization. CoG 2022: 56-63 - [c90]Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo:
Residual Correction in Real-Time Traffic Forecasting. CIKM 2022: 962-971 - [c89]Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo:
Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity. COLING 2022: 4853-4863 - [c88]Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo:
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment. ECCV (17) 2022: 188-203 - [c87]Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo:
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions. ECCV (17) 2022: 204-219 - [c86]Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo:
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment. ECCV (8) 2022: 414-430 - [c85]Wonwoo Cho, Jaegul Choo:
Towards Accurate Open-Set Recognition via Background-Class Regularization. ECCV (25) 2022: 658-674 - [c84]Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, Jaegul Choo:
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift. ICLR 2022 - [c83]Jinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, Yoon-Ji Kim:
Morphology-Aware Interactive Keypoint Estimation. MICCAI (3) 2022: 675-685 - [c82]Gyumin Shim, Minsoo Lee, Jaegul Choo:
ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction. ACM Multimedia 2022: 6850-6859 - [c81]Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo:
PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction. PAKDD (1) 2022: 354-366 - [c80]Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo:
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems. SIGIR 2022: 2607-2611 - [c79]Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo:
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games. WWW 2022: 3428-3439 - [i68]Minsoo Lee, Chaeyeon Chung, Hojun Cho, Min-Jung Kim, Sanghun Jung, Jaegul Choo, Minhyuk Sung:
3D-GIF: 3D-Controllable Object Generation via Implicit Factorized Representations. CoRR abs/2203.06457 (2022) - [i67]Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo:
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games. CoRR abs/2204.12750 (2022) - [i66]Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo:
BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing. CoRR abs/2205.14594 (2022) - [i65]Sanghun Jung, Jungsoo Lee, Nanhee Kim, Jaegul Choo:
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. CoRR abs/2206.00205 (2022) - [i64]Jungsoo Lee, Juyoung Lee, Sanghun Jung, Jaegul Choo:
DebiasBench: Benchmark for Fair Comparison of Debiasing in Image Classification. CoRR abs/2206.03680 (2022) - [i63]Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo:
HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting. CoRR abs/2206.08585 (2022) - [i62]Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo:
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions. CoRR abs/2206.14180 (2022) - [i61]Sanghyeon Lee, Jooyeol Yun, Minho Park, Jaegul Choo:
iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer. CoRR abs/2207.06831 (2022) - [i60]Wonwoo Cho, Jaegul Choo:
Towards Accurate Open-Set Recognition via Background-Class Regularization. CoRR abs/2207.10287 (2022) - [i59]Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko:
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. CoRR abs/2208.04350 (2022) - [i58]Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo:
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment. CoRR abs/2208.07765 (2022) - [i57]Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo:
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity. CoRR abs/2208.13376 (2022) - [i56]Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo:
Residual Correction in Real-Time Traffic Forecasting. CoRR abs/2209.05406 (2022) - [i55]Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-Jin Choi, Jaegul Choo:
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation. CoRR abs/2209.06357 (2022) - [i54]Jinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, Yoon-Ji Kim:
Morphology-Aware Interactive Keypoint Estimation. CoRR abs/2209.07163 (2022) - [i53]Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo:
PePe: Personalized Post-editing Model utilizing User-generated Post-edits. CoRR abs/2209.10139 (2022) - [i52]Junwoo Park, Youngwoo Cho, Gyuhyeon Sim, Hojoon Lee, Jaegul Choo:
Enemy Spotted: in-game gun sound dataset for gunshot classification and localization. CoRR abs/2210.05917 (2022) - [i51]Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, Jaegul Choo:
Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization. CoRR abs/2210.14270 (2022) - [i50]Youngin Cho, Daejin Kim, Dongmin Kim, Mohammad Azam Khan, Jaegul Choo:
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting. CoRR abs/2210.14303 (2022) - [i49]Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, Jaegul Choo:
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task. CoRR abs/2210.17238 (2022) - [i48]Gyumin Shim, Minsoo Lee, Jaegul Choo:
ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction. CoRR abs/2211.04753 (2022) - 2021
- [j27]Chaeyeon Chung, Jungsoo Lee, Kyungmin Park, Junsoo Lee, Minjae Kim, Mookyung Song, Yeonwoo Kim, Jaegul Choo, Sungsoo Ray Hong:
Understanding Human-side Impact of Sampling Image Batches in Subjective Attribute Labeling. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 296:1-296:26 (2021) - [j26]Heungseok Park, Yoonsoo Nam, Ji-Hoon Kim, Jaegul Choo:
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 27(2): 1407-1416 (2021) - [c78]Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi:
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. AAAI 2021: 2412-2422 - [c77]Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi, Sung-Hyon Myaeng:
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images. ACL/IJCNLP (2) 2021: 897-906 - [c76]Seohyun Back, Akhil Kedia, Sai Chetan Chinthakindi, Haejun Lee, Jaegul Choo:
Learning to Generate Questions by Learning to Recover Answer-containing Sentences. ACL/IJCNLP (Findings) 2021: 1516-1529 - [c75]Cheonbok Park, Yunwon Tae, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park, Jaegul Choo:
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning. ACL/IJCNLP (1) 2021: 2888-2901 - [c74]Beomsoo Kim, Jang-Ho Choi, Jaegul Choo:
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space. ACML 2021: 1633-1644 - [c73]Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo:
HairFIT: Pose-invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-region-aware Inpainting. BMVC 2021: 219 - [c72]Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi:
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. BMVC 2021: 229 - [c71]Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo:
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children. BMVC 2021: 382 - [c70]Daejin Kim, Mohammad Azam Khan, Jaegul Choo:
Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction. CVPR 2021: 6509-6518 - [c69]Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo:
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CVPR 2021: 11580-11590 - [c68]Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo:
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization. CVPR 2021: 14131-14140 - [c67]Fuxiang Chen, Mijung Kim, Jaegul Choo:
Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations. EMNLP (Findings) 2021: 2510-2520 - [c66]Jimin Hong, Taehee Kim, Hyesu Lim, Jaegul Choo:
AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain. EMNLP (1) 2021: 4692-4700 - [c65]Youngwoo Cho, Minwook Chang, Sanghyeon Lee, Hyoungwoo Lee, Gerard Jounghyun Kim, Jaegul Choo:
Efficient Adversarial Audio Synthesis VIA Progressive Upsampling. ICASSP 2021: 3410-3414 - [c64]Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, Jaegul Choo:
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects. ICCV 2021: 14647-14656 - [c63]Eungyeup Kim, Jihyeon Lee, Jaegul Choo:
BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation. ICCV 2021: 14972-14981 - [c62]Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo:
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. ICCV 2021: 15405-15414 - [c61]Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko:
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. ICDE 2021: 1817-1822 - [c60]Taewoo Kim, Chaeyeon Chung, Sunghyun Park, Gyojung Gu, Keonmin Nam, Wonzo Choe, Jaesung Lee, Jaegul Choo:
K-Hairstyle: A Large-Scale Korean Hairstyle Dataset For Virtual Hair Editing And Hairstyle Classification. ICIP 2021: 1299-1303 - [c59]Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi:
Knowledge Graph-based Question Answering with Electronic Health Records. MLHC 2021: 36-53 - [c58]Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Soojin Jang, Jaegul Choo, Youngbin Kim:
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. NAACL-HLT 2021: 4031-4042 - [c57]Jungsoo Lee, Eungyeup Kim, Juyoung Lee, Jihyeon Lee, Jaegul Choo:
Learning Debiased Representation via Disentangled Feature Augmentation. NeurIPS 2021: 25123-25133 - [i47]Taewoo Kim, Chaeyeon Chung, Sunghyun Park, Gyojung Gu, Keonmin Nam, Wonzo Choe, Jaesung Lee, Jaegul Choo:
K-Hairstyle: A Large-scale Korean hairstyle dataset for virtual hair editing and hairstyle classification. CoRR abs/2102.06288 (2021) - [i46]Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo:
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CoRR abs/2103.15597 (2021) - [i45]Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo:
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization. CoRR abs/2103.16874 (2021) - [i44]Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Sujin Jang, Jaegul Choo, Youngbin Kim:
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. CoRR abs/2104.05964 (2021) - [i43]Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko:
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. CoRR abs/2105.05504 (2021) - [i42]Eungyeup Kim, Jungsoo Lee, Juyoung Lee, Jihyeon Lee, Jaegul Choo:
Learning Debiased Representation via Disentangled Feature Augmentation. CoRR abs/2107.01372 (2021) - [i41]Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, Jaegul Choo:
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects. CoRR abs/2107.01619 (2021) - [i40]Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi, Sung-Hyun Myaeng:
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images. CoRR abs/2107.08685 (2021) - [i39]Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo:
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. CoRR abs/2107.11264 (2021) - [i38]Hojoon Lee, Dongyoon Hwang, Sunghwan Hong, Changyeon Kim, Seungryong Kim, Jaegul Choo:
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation. CoRR abs/2108.07505 (2021) - [i37]Eungyeup Kim, Jihyeon Lee, Jaegul Choo:
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation. CoRR abs/2108.10008 (2021) - [i36]Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi:
Natural Attribute-based Shift Detection. CoRR abs/2110.09276 (2021) - [i35]Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo:
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children. CoRR abs/2110.11630 (2021) - [i34]Jimin Hong, Taehee Kim, Hyesu Lim, Jaegul Choo:
AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain. CoRR abs/2110.13434 (2021) - [i33]Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo:
AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models. CoRR abs/2111.07640 (2021) - [i32]Taewon Kang, Sunghyun Park, Seunghwan Choi, Jaegul Choo:
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP). CoRR abs/2111.08270 (2021) - [i31]Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo:
CG-NeRF: Conditional Generative Neural Radiance Fields. CoRR abs/2112.03517 (2021) - [i30]Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi:
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. CoRR abs/2112.10960 (2021) - 2020
- [j25]Mohammad Azam Khan, Soonwook Kwon, Jaegul Choo, Seok Min Hong, Sung Hun Kang, Il-Ho Park, Sung Kyun Kim, Seok Jin Hong:
Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks. Neural Networks 126: 384-394 (2020) - [j24]Mohammad Azam Khan, Yong-Hwa Kim, Jaegul Choo:
Intelligent fault detection using raw vibration signals via dilated convolutional neural networks. J. Supercomput. 76(10): 8086-8100 (2020) - [j23]Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy:
Probabilistic Topic Modeling for Comparative Analysis of Document Collections. ACM Trans. Knowl. Discov. Data 14(2): 24:1-24:27 (2020) - [j22]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c56]Sanghyeon Na, Seungjoo Yoo, Jaegul Choo:
Multimodal Image Translation with Stochastic Style Representations and Mutual Information Loss. BMVC 2020 - [c55]Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko, Jaegul Choo:
ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed. CIKM 2020: 1215-1224 - [c54]Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo:
Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence. CVPR 2020: 5800-5809 - [c53]Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo:
Exploring Unlabeled Faces for Novel Attribute Discovery. CVPR 2020: 5820-5829 - [c52]Sungha Choi, Joanne Taery Kim, Jaegul Choo:
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks. CVPR 2020: 9370-9380 - [c51]Hyoungwoo Lee, Jaegul Choo:
Data analysis and processing for spatio-temporal forecasting. ICDM (Workshops) 2020: 737-739 - [c50]Seohyun Back, Sai Chetan Chinthakindi, Akhil Kedia, Haejun Lee, Jaegul Choo:
NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension. ICLR 2020 - [c49]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. ICML 2020: 528-539 - [c48]Geunbae Lee, Myungkyo Jung, Myoungwoo Song, Jaegul Choo:
Unsupervised anomaly detection of the gas turbine operation via convolutional auto-encoder. ICPHM 2020: 1-6 - [c47]Jinhee Kim, Taesung Kim, Jang-Ho Choi, Jaegul Choo:
End-to-end Multi-task Learning of Missing Value Imputation and Forecasting in Time-Series Data. ICPR 2020: 8849-8856 - [i29]Sungha Choi, Joanne Taery Kim, Jaegul Choo:
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks. CoRR abs/2003.05128 (2020) - [i28]Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo:
Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence. CoRR abs/2005.05207 (2020) - [i27]Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo:
Towards Lightweight Lane Detection by Optimizing Spatial Embedding. CoRR abs/2008.08311 (2020) - [i26]Heungseok Park, Yoonsoo Nam, Ji-Hoon Kim, Jaegul Choo:
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks. CoRR abs/2009.02078 (2020) - [i25]Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi:
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. CoRR abs/2010.08188 (2020) - [i24]Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi:
Neural Ordinary Differential Equations for Intervention Modeling. CoRR abs/2010.08304 (2020) - [i23]Yunwon Tae, Cheonbok Park, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, Tao Qin, Jaegul Choo:
Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation. CoRR abs/2010.09046 (2020) - [i22]Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi:
Knowledge Graph-based Question Answering with Electronic Health Records. CoRR abs/2010.09394 (2020) - [i21]Jeonghoon Park, Kyungmin Jo, Daehoon Gwak, Jimin Hong, Jaegul Choo, Edward Choi:
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment. CoRR abs/2011.13120 (2020)
2010 – 2019
- 2019
- [j21]Jinho Choi, Sanghun Jung, Deok Gun Park, Jaegul Choo, Niklas Elmqvist:
Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization. Comput. Graph. Forum 38(3): 249-260 (2019) - [j20]Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo:
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. IEEE Trans. Vis. Comput. Graph. 25(1): 299-309 (2019) - [c46]Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim:
Paraphrase Diversification Using Counterfactual Debiasing. AAAI 2019: 6883-6891 - [c45]Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo:
Learning to Focus and Track Extreme Climate Events. BMVC 2019: 11 - [c44]Minsuk Choi, Cheonbok Park, Soyoung Yang, Yonggyu Kim, Jaegul Choo, Sungsoo Ray Hong:
AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks. CHI 2019: 230 - [c43]Kyeongpil Kang, Junwoo Park, Wooyoung Kim, Hojung Choe, Jaegul Choo:
Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling. CIKM 2019: 1543-1552 - [c42]Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo:
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. CVPR 2019: 10639-10647 - [c41]Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo:
Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks. CVPR 2019: 11283-11292 - [c40]Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim:
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. EMNLP/IJCNLP (1) 2019: 2603-2613 - [c39]Wooyoung Kim, Wonwoong Cho, Jangho Choi, Jiyong Kim, Cheonbok Park, Jaegul Choo:
A Comparison of the Effects of Data Imputation Methods on Model Performance. ICACT 2019: 592-599 - [c38]