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Jaegul Choo
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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]