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2020 – today
- 2022
[j10]Tao Mei, Jason J. Corso, Gunhee Kim, Jiebo Luo
, Chunhua Shen, Hanwang Zhang:
Guest Editorial Introduction to the Special Section on Video and Language. IEEE Trans. Circuits Syst. Video Technol. 32(1): 1-4 (2022)- [c95]Junsoo Ha, Gunhee Kim:
On Convergence of Lookahead in Smooth Games. AISTATS 2022: 4659-4684 - [c94]Heeseung Yun, Sehun Lee, Gunhee Kim:
Panoramic Vision Transformer for Saliency Detection in 360$^\circ $ Videos. ECCV (35) 2022: 422-439 - [c93]Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap:
ProsocialDialog: A Prosocial Backbone for Conversational Agents. EMNLP 2022: 4005-4029 - [c92]Insu Jeon, Youngjin Park, Gunhee Kim:
Neural Variational Dropout Processes. ICLR 2022 - [c91]Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee, Gunhee Kim:
Lipschitz-constrained Unsupervised Skill Discovery. ICLR 2022 - [c90]Jaekyeom Kim, Seohong Park, Gunhee Kim:
Constrained GPI for Zero-Shot Transfer in Reinforcement Learning. NeurIPS 2022 - [i41]Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee, Gunhee Kim:
Lipschitz-constrained Unsupervised Skill Discovery. CoRR abs/2202.00914 (2022) - [i40]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi:
Multimodal Knowledge Alignment with Reinforcement Learning. CoRR abs/2205.12630 (2022) - [i39]Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap:
ProsocialDialog: A Prosocial Backbone for Conversational Agents. CoRR abs/2205.12688 (2022) - [i38]Jongbin Won, Minhyuk Song, Gunhee Kim, Jong-Woong Park, Haemin Jeon:
LAVOLUTION: Measurement of Non-target Structural Displacement Calibrated by Structured Light. CoRR abs/2209.07115 (2022) - [i37]Heeseung Yun, Sehun Lee, Gunhee Kim:
Panoramic Vision Transformer for Saliency Detection in 360° Videos. CoRR abs/2209.08956 (2022) - [i36]Yookoon Park, Chris Dongjoo Kim, Gunhee Kim:
Variational Laplace Autoencoders. CoRR abs/2211.17267 (2022) - [i35]Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi:
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. CoRR abs/2212.10465 (2022) - 2021
- [c89]Jongseok Kim, Youngjae Yu, Hoeseong Kim, Gunhee Kim:
Dual Compositional Learning in Interactive Image Retrieval. AAAI 2021: 1771-1779 - [c88]Insu Jeon, Wonkwang Lee, Myeongjang Pyeon, Gunhee Kim:
IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks. AAAI 2021: 7926-7934 - [c87]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jongseok Kim, Gunhee Kim:
Transitional Adaptation of Pretrained Models for Visual Storytelling. CVPR 2021: 12658-12668 - [c86]Minui Hong, Jinwoo Choi, Gunhee Kim:
StyleMix: Separating Content and Style for Enhanced Data Augmentation. CVPR 2021: 14862-14870 - [c85]Hyunwoo Kim, Byeongchang Kim, Gunhee Kim:
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes. EMNLP (1) 2021: 2227-2240 - [c84]Chris Dongjoo Kim, Jinseo Jeong, Sangwoo Moon, Gunhee Kim:
Continual Learning on Noisy Data Streams via Self-Purified Replay. ICCV 2021: 517-527 - [c83]Heeseung Yun, Youngjae Yu, Wonsuk Yang, Kangil Lee, Gunhee Kim:
Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos. ICCV 2021: 2011-2021 - [c82]Hoeseong Kim, Jongseok Kim, Hyungseok Lee, Hyunsung Park, Gunhee Kim:
Viewpoint-Agnostic Change Captioning with Cycle Consistency. ICCV 2021: 2075-2084 - [c81]Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song:
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning. ICCV 2021: 10254-10264 - [c80]Wonhee Lee, Sungeun Kim, Gunhee Kim:
Contextual Label Transformation For Scene Graph Generation. ICIP 2021: 2533-2537 - [c79]Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim:
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration. ICLR 2021 - [c78]Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song:
Parameter Efficient Multimodal Transformers for Video Representation Learning. ICLR 2021 - [c77]Myeongjang Pyeon, Jihwan Moon, Taeyoung Hahn, Gunhee Kim:
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning. ICLR 2021 - [c76]Youngjae Yu, Sangho Lee, Gunhee Kim, Yale Song:
Self-Supervised Learning of Compressed Video Representations. ICLR 2021 - [c75]Jaekyeom Kim, Seohong Park, Gunhee Kim:
Unsupervised Skill Discovery with Bottleneck Option Learning. ICML 2021: 5572-5582 - [c74]Yookoon Park, Sangho Lee, Gunhee Kim, David M. Blei:
Unsupervised Representation Learning via Neural Activation Coding. ICML 2021: 8391-8400 - [c73]Byeongchang Kim, Hyunwoo Kim, Seokhee Hong, Gunhee Kim:
How Robust are Fact Checking Systems on Colloquial Claims? NAACL-HLT 2021: 1535-1548 - [c72]Seohong Park, Jaekyeom Kim, Gunhee Kim:
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods. NeurIPS 2021: 267-279 - [i34]Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song:
Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning. CoRR abs/2101.10803 (2021) - [i33]Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim:
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration. CoRR abs/2103.12300 (2021) - [i32]Jaekyeom Kim, Seohong Park, Gunhee Kim:
Unsupervised Skill Discovery with Bottleneck Option Learning. CoRR abs/2106.14305 (2021) - [i31]Jongseok Kim, Youngjae Yu, Seunghwan Lee, Gunhee Kim:
Cycled Compositional Learning between Images and Text. CoRR abs/2107.11509 (2021) - [i30]Yunseok Jang, Yale Song, Gunhee Kim:
On the Virality of Animated GIFs on Tumblr. CoRR abs/2108.07894 (2021) - [i29]Hyunwoo Kim, Byeongchang Kim, Gunhee Kim:
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes. CoRR abs/2109.08828 (2021) - [i28]Heeseung Yun, Youngjae Yu, Wonsuk Yang, Kangil Lee, Gunhee Kim:
Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos. CoRR abs/2110.05122 (2021) - [i27]Chris Dongjoo Kim, Jinseo Jeong, Sangwoo Moon, Gunhee Kim:
Continual Learning on Noisy Data Streams via Self-Purified Replay. CoRR abs/2110.07735 (2021) - [i26]Seohong Park, Jaekyeom Kim, Gunhee Kim:
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods. CoRR abs/2111.03941 (2021) - [i25]Yookoon Park, Sangho Lee, Gunhee Kim, David M. Blei:
Unsupervised Representation Learning via Neural Activation Coding. CoRR abs/2112.04014 (2021) - 2020
- [c71]Hankyol Lee, Youngjae Yu, Gunhee Kim:
Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context. Fig-Lang@ACL 2020: 12-17 - [c70]Chris Dongjoo Kim, Jinseo Jeong, Gunhee Kim:
Imbalanced Continual Learning with Partitioning Reservoir Sampling. ECCV (13) 2020: 411-428 - [c69]Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung, Gunhee Kim:
Character Grounding and Re-identification in Story of Videos and Text Descriptions. ECCV (5) 2020: 543-559 - [c68]Jaekyeom Kim, Hyoungseok Kim, Gunhee Kim:
Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot Learning. ECCV (1) 2020: 599-617 - [c67]Wonho Bae, Junhyug Noh, Gunhee Kim:
Rethinking Class Activation Mapping for Weakly Supervised Object Localization. ECCV (15) 2020: 618-634 - [c66]Hyunwoo Kim, Byeongchang Kim, Gunhee Kim:
Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness. EMNLP (1) 2020: 904-916 - [c65]Byeongchang Kim, Jaewoo Ahn, Gunhee Kim:
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. ICLR 2020 - [c64]Soochan Lee, Junsoo Ha, Dongsu Zhang, Gunhee Kim:
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning. ICLR 2020 - [i24]Soochan Lee, Junsoo Ha, Dongsu Zhang, Gunhee Kim:
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning. CoRR abs/2001.00689 (2020) - [i23]Byeongchang Kim, Jaewoo Ahn, Gunhee Kim:
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. CoRR abs/2002.07510 (2020) - [i22]Youngjae Yu, Seunghwan Lee, Yuncheol Choi, Gunhee Kim:
CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data. CoRR abs/2003.12299 (2020) - [i21]Hyunwoo Kim, Byeongchang Kim, Gunhee Kim:
Public Self-consciousness for Endowing Dialogue Agents with Consistent Persona. CoRR abs/2004.05816 (2020) - [i20]Hankyol Lee, Youngjae Yu, Gunhee Kim:
Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context. CoRR abs/2006.06259 (2020) - [i19]Chris Dongjoo Kim, Jinseo Jeong, Gunhee Kim:
Imbalanced Continual Learning with Partitioning Reservoir Sampling. CoRR abs/2009.03632 (2020) - [i18]Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He:
LID 2020: The Learning from Imperfect Data Challenge Results. CoRR abs/2010.11724 (2020) - [i17]Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song:
Parameter Efficient Multimodal Transformers for Video Representation Learning. CoRR abs/2012.04124 (2020)
2010 – 2019
- 2019
- [j9]Yunseok Jang, Yale Song, Chris Dongjoo Kim, Youngjae Yu, Youngjin Kim, Gunhee Kim:
Video Question Answering with Spatio-Temporal Reasoning. Int. J. Comput. Vis. 127(10): 1385-1412 (2019) - [j8]Cesc Chunseong Park, Byeongchang Kim, Gunhee Kim:
Towards Personalized Image Captioning via Multimodal Memory Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 999-1012 (2019) - [c63]Wonhee Lee, Joonil Na, Gunhee Kim:
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations. CVPR 2019: 4984-4993 - [c62]Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim:
Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection. ICCV 2019: 9724-9733 - [c61]Woo-Yeon Lee, Markus Weimer, Brian Cho, Byung-Gon Chun, Yunseong Lee, Joo Seong Jeong, Gyeong-In Yu, Jooyeon Kim, Hojin Park, Beomyeol Jeon, Won Wook Song, Gunhee Kim:
Automating System Configuration of Distributed Machine Learning. ICDCS 2019: 2057-2067 - [c60]Soochan Lee, Junsoo Ha, Gunhee Kim:
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation. ICLR (Poster) 2019 - [c59]Seil Na, Yo Joong Choe, Dong-Hyun Lee, Gunhee Kim:
Discovery of Natural Language Concepts in Individual Units of CNNs. ICLR (Poster) 2019 - [c58]Youngjin Kim, Wontae Nam, Hyunwoo Kim, Ji-Hoon Kim, Gunhee Kim:
Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty. ICML 2019: 3379-3388 - [c57]Yookoon S. Park, Chris Dongjoo Kim, Gunhee Kim:
Variational Laplace Autoencoders. ICML 2019: 5032-5041 - [c56]Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim:
AudioCaps: Generating Captions for Audios in The Wild. NAACL-HLT (1) 2019: 119-132 - [c55]Byeongchang Kim, Hyunwoo Kim, Gunhee Kim:
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks. NAACL-HLT (1) 2019: 2519-2531 - [c54]Taeyoung Hahn, Myeongjang Pyeon, Gunhee Kim:
Self-Routing Capsule Networks. NeurIPS 2019: 7656-7665 - [c53]Hyouk Jang, Juheon Choi, Gunhee Kim:
POL360: A Universal Mobile VR Motion Controller using Polarized Light. VRST 2019: 20:1-20:10 - [i16]Seil Na, Yo Joong Choe, Dong-Hyun Lee, Gunhee Kim:
Discovery of Natural Language Concepts in Individual Units of CNNs. CoRR abs/1902.07249 (2019) - [i15]Soochan Lee, Junsoo Ha, Gunhee Kim:
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation. CoRR abs/1902.09225 (2019) - 2018
- [j7]Cesc Chunseong Park, Youngjin Kim, Gunhee Kim:
Retrieval of Sentence Sequences for an Image Stream via Coherence Recurrent Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 945-957 (2018) - [c52]Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim:
A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video. AAAI 2018: 7525-7533 - [c51]Junhyug Noh, Soochan Lee, Beomsu Kim, Gunhee Kim:
Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors. CVPR 2018: 966-974 - [c50]Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim:
A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos. CVPR 2018: 1410-1419 - [c49]Youngjae Yu, Jongseok Kim, Gunhee Kim:
A Joint Sequence Fusion Model for Video Question Answering and Retrieval. ECCV (7) 2018: 487-503 - [c48]Youngjin Kim, Minjung Kim, Gunhee Kim:
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks. ICLR (Poster) 2018 - [c47]Yunseok Jang, Gunhee Kim, Yale Song:
Video Prediction with Appearance and Motion Conditions. ICML 2018: 2230-2239 - [c46]Yookoon Park, Jaemin Cho, Gunhee Kim:
A Hierarchical Latent Structure for Variational Conversation Modeling. NAACL-HLT 2018: 1792-1801 - [i14]Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim:
A Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360 Video. CoRR abs/1801.10312 (2018) - [i13]Youngjin Kim, Minjung Kim, Gunhee Kim:
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks. CoRR abs/1803.01500 (2018) - [i12]Yookoon Park, Jaemin Cho, Gunhee Kim:
A Hierarchical Latent Structure for Variational Conversation Modeling. CoRR abs/1804.03424 (2018) - [i11]Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim:
A Memory Network Approach for Story-based Temporal Summarization of 360° Videos. CoRR abs/1805.02838 (2018) - [i10]Yunseok Jang, Gunhee Kim, Yale Song:
Video Prediction with Appearance and Motion Conditions. CoRR abs/1807.02635 (2018) - [i9]Youngjae Yu, Jongseok Kim, Gunhee Kim:
A Joint Sequence Fusion Model for Video Question Answering and Retrieval. CoRR abs/1808.02559 (2018) - [i8]Byeongchang Kim, Hyunwoo Kim, Gunhee Kim:
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks. CoRR abs/1811.00783 (2018) - 2017
- [c45]Chulmoo Kang, Gunhee Kim, Suk I. Yoo:
Detection and Recognition of Text Embedded in Online Images via Neural Context Models. AAAI 2017: 4103-4110 - [c44]Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim:
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering. CVPR 2017: 1359-1367 - [c43]Youngjae Yu, Hyungjin Ko, Jongwook Choi, Gunhee Kim:
End-to-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering. CVPR 2017: 3261-3269 - [c42]Youngjae Yu, Jongwook Choi, Yeonhwa Kim, Kyung Yoo, Sang-Hun Lee, Gunhee Kim:
Supervising Neural Attention Models for Video Captioning by Human Gaze Data. CVPR 2017: 6119-6127 - [c41]Cesc Chunseong Park, Byeongchang Kim, Gunhee Kim:
Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. CVPR 2017: 6432-6440 - [c40]Seil Na, Sangho Lee, Jisung Kim, Gunhee Kim:
A Read-Write Memory Network for Movie Story Understanding. ICCV 2017: 677-685 - [c39]Juyong Kim, Yookoon Park, Gunhee Kim, Sung Ju Hwang:
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization. ICML 2017: 1866-1874 - [i7]Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim:
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering. CoRR abs/1704.04497 (2017) - [i6]Cesc Chunseong Park, Byeongchang Kim, Gunhee Kim:
Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. CoRR abs/1704.06485 (2017) - [i5]Seil Na, Youngjae Yu, Sangho Lee, Jisung Kim, Gunhee Kim:
Encoding Video and Label Priors for Multi-label Video Classification on YouTube-8M dataset. CoRR abs/1706.07960 (2017) - [i4]Youngjae Yu, Jongwook Choi, Yeonhwa Kim, Kyung Yoo, Sang-Hun Lee, Gunhee Kim:
Supervising Neural Attention Models for Video Captioning by Human Gaze Data. CoRR abs/1707.06029 (2017) - [i3]Seil Na, Sangho Lee, Jisung Kim, Gunhee Kim:
A Read-Write Memory Network for Movie Story Understanding. CoRR abs/1709.09345 (2017) - 2016
- [c38]Wonjoon Goo, Juyong Kim, Gunhee Kim, Sung Ju Hwang:
Taxonomy-Regularized Semantic Deep Convolutional Neural Networks. ECCV (2) 2016: 86-101 - [c37]Hanseul Jun, Gunhee Kim:
A calibration method for optical see-through head-mounted displays with a depth camera. VR 2016: 103-111 - [i2]Youngjae Yu, Hyungjin Ko, Jongwook Choi, Gunhee Kim:
Video Captioning and Retrieval Models with Semantic Attention. CoRR abs/1610.02947 (2016) - 2015
- [c36]Eunhyeok Park, Dongyoung Kim, Soobeom Kim, Yong-Deok Kim, Gunhee Kim, Sungroh Yoon, Sungjoo Yoo:
Big/little deep neural network for ultra low power inference. CODES+ISSS 2015: 124-132 - [c35]Gunhee Kim, Seungwhan Moon, Leonid Sigal:
Ranking and retrieval of image sequences from multiple paragraph queries. CVPR 2015: 1993-2001 - [c34]Gunhee Kim, Seungwhan Moon, Leonid Sigal:
Joint photo stream and blog post summarization and exploration. CVPR 2015: 3081-3089 - [c33]Bo Xiong, Gunhee Kim, Leonid Sigal:
Storyline Representation of Egocentric Videos with an Applications to Story-Based Search. ICCV 2015: 4525-4533 - [c32]Hao Zhang, Gunhee Kim, Eric P. Xing:
Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data. KDD 2015: 1425-1434 - [c31]Gunhee Kim, Leonid Sigal:
Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams. KDD 2015: 1899-1908 - [c30]Cesc C. Park, Gunhee Kim:
Expressing an Image Stream with a Sequence of Natural Sentences. NIPS 2015: 73-81 - [i1]Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing:
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. CoRR abs/1512.06216 (2015) - 2014
- [j6]Robson L. F. Cordeiro, Fan Guo, Donna S. Haverkamp, James H. Horne, Ellen K. Hughes, Gunhee Kim, Luciana A. S. Romani, Priscila P. Coltri, Tamires T. Souza, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos:
QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases. Inf. Sci. 264: 211-229 (2014) - [c29]Gunhee Kim, Eric P. Xing:
Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos. CVPR 2014: 3882-3889 - [c28]Gunhee Kim, Leonid Sigal, Eric P. Xing:
Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction. CVPR 2014: 4225-4232 - [c27]Gunhee Kim, Eric P. Xing:
Visualizing brand associations from web community photos. WSDM 2014: 623-632 - 2013
- [c26]Gunhee Kim, Eric P. Xing:
Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines. CVPR 2013: 620-627 - [c25]Gunhee Kim, Eric P. Xing:
Discovering Pictorial Brand Associations from Large-Scale Online Image Data. ICCV Workshops 2013: 404-411 - [c24]Gunhee Kim, Eric P. Xing:
Time-sensitive web image ranking and retrieval via dynamic multi-task regression. WSDM 2013: 163-172 - 2012
- [c23]Gunhee Kim, Eric P. Xing:
On multiple foreground cosegmentation. CVPR 2012: 837-844 - [c22]Gunhee Kim, Li Fei-Fei, Eric P. Xing:
Web image prediction using multivariate point processes. KDD 2012: 1068-1076 - 2011
- [c21]Kyohyun Song, Gunhee Kim, Inkyu Han, Jeongyoung Lee, Ji-Hyung Park, Sungdo Ha:
CheMO: mixed object instruments and interactions for tangible chemistry experiments. CHI Extended Abstracts 2011: 2305-2310 - [c20]Gunhee Kim, Jukyung Park, Manchul Han, Hyunchul Park, Dayoung Jung, Se Hyung Park, Seongil Lee, Sungdo Ha:
A Guideline for an Outpatient Guidance System for Use in General Hospitals. HCI (9) 2011: 261-269 - [c19]Gunhee Kim, Eric P. Xing, Li Fei-Fei, Takeo Kanade:
Distributed cosegmentation via submodular optimization on anisotropic diffusion. ICCV 2011: 169-176 - 2010
- [c18]Gunhee Kim, Eric P. Xing, Antonio Torralba:
Modeling and Analysis of Dynamic Behaviors of Web Image Collections. ECCV (5) 2010: 85-98 - [c17]