Gunhee Kim, PhD (김건희)

Professor @ Vision and Learning Lab
Department of Computer Science and Engineering,
Integrative Data Science, School of Transdisciplinary Innovations,
Interdisciplinary Program in AI,
Seoul National University (SNU)

CEO and Founder @ RippleAI

Email: gunhee at snu.ac.kr or gunhee at rippleai.co

Administrative Assistant: Euimi Hong (euimi.hong at vision.snu.ac.kr)

[Curriculum Vitae]

What's new?

In 2024, we have 2 NeurIPS, 2 EMNLP, 1 IEEE TPAMI, 1 TMLR, 2 ECCV (1 Oral), 4 ACL (2 Main, 2 Findings), 1 ICML, 1 CVPR, and 1 ICLR papers.
In 2023, we have 4 EMNLP (2 Oral, 2 Main), 2 NeurIPS, 2 ICCV, 4 ACL (2 Main, 1 Industry, 1 Findings) and 1 CVPR papers.
We won the two tracks of LSMDC 2019 LSMDC 2017, 2016 challenges (Annotation and Retrieval, and Fill-in-the-Blank) (October 23, 2017).
I'm co-organizing 2nd workshop on Storytelling with Images and Videos (VisStory) along with LSMDC 2016 in ECCV 2016 (October 16, 2016).
I won 2015 Naver New faculty award and 2014 SIGKDD doctoral dissertation award. [CMU Link]
I opened vision and learning lab at Computer Science and Engineering of Seoul National University (Feb 2015).
I was an Postdoctoral Researcher at Disney Research Pittsburgh (Sep 2013 - Jan 2015), and a visiting student at Stanford Vision Lab (Jan 2011 - Apr 2011) and MIT CSAIL (Jan 2009 - Mar 2009).
(In Korean) 서울대 교수 지원하기.

To Prospective students

인턴 및 대학원 지원자 상시 모집합니다: 자세한 사항은 먼저 이 문서를 읽기 바랍니다.
For foreign students: Unless you are already in Korea with valid Korean visa and can work more than 6 months, it is very difficult for us to hire you as intern. Instead, I can accept 0–1 Korean government-funded foreign students [See details of KGSP].
본 연구실에서 spin-off 스타트업 rippleAI 에서 part-time 및 full-time 개발자 상시 채용합니다. [링크]

Education

Ph.D. Computer Science Department, Carnegie Mellon University (August 2009 ~ September 2013)
- Advisor: Eric P. Xing, Committee: Takeo Kanade, Christos Faloutsos, Antonio Torralba
- Thesis: Reconstruction and Applications of Collective Storylines from Web Photos Collections
M.S. The Robotics Institute, Carnegie Mellon University (September 2006 ~ May 2008)
- Adviors: Martial Hebert, Committee: Christos Faloutsos
- Thesis: Link Analysis Techniques for Object Modeling and Recognition
B.S./M.S. Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST)

Selected Projects

	FedAvP: Augment Local Data via Shared Policy in Federated Learning Minui Hong, Junhyeog Yun, Insu Jeon, and Gunhee Kim NeurIPS 2024
	Sample Selection via Contrastive Fragmentation for Noisy Label Regression Chris Dongjoo Kim^, Sangwoo Moon^, Jihwan Moon, Dongyeon Woo, and Gunhee Kim NeurIPS 2024
	DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG Jinyoung Kim, Dayoon Ko, and Gunhee Kim EMNLP 2024[code] [pdf]
	Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback Fatemeh Pesaran Zadeh, Juyeon Kim, Jin-Hwa Kim, and Gunhee Kim EMNLP 2024 (Oral) [code] [pdf]
	When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son^, Soochan Lee^, and Gunhee Kim IEEE TPAMI 2024 [pdf] [arXiv]
	Meta-Learning Approach for Joint Multimodal Signals with Multimodal Iterative Adaptation Sehun Lee^, Wonkwang Lee^ and Gunhee Kim TMLR 2024 [code] [pdf]
	Bi-directional Contextual Attention for 3D Dense Captioning Minjung Kim, Hyungsuk Lim, Soonyoung Lee, Bumsoo Kim, and Gunhee Kim ECCV 2024 (Oral) [pdf]
	Spherical World-Locking for Audio-Visual Localization in Egocentric Videos Heeseung Yun, Calvin Murdock, Ruohan Gao, Ishwarya Ananthabhotla, Anurag Kumar, Jacob Donley, Chao Li, Gunhee Kim, Vamsi Krishna Ithapu ECCV 2024 [pdf]
	GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge? Dayoon Ko, Jinyoung Kim, Hahyeon Choi, and Gunhee Kim ACL 2024 [code] [pdf]
	Who Wrote this Code? Watermarking for Code Generation Taehyun Lee^, Seokhee Hong^, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, and Gunhee Kim ACL 2024 [code] [pdf]
	TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, and Gunhee Kim ACL 2024 (Findings) [code] [pdf]
	See It All: Contextualized Late Aggregation for 3D Dense Captioning Minjung Kim, Hyung Suk Lim, Seung Hwan Kim, Soonyoung Lee, Bumsoo Kim, and Gunhee Kim ACL 2024 (Findings) [pdf]
	Learning to Continually Learn with the Bayesian Principle Soochan Lee, Hyeonseong Jeon, Jaehyeon Son, and Gunhee Kim ICML 2024 [code] [pdf]
	ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images Jinseo Jeong, Junseo Koo, Qimeng Zhang, and Gunhee Kim CVPR 2024 [code] [pdf]
	Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning Yeda Song^, Dongwook Lee^ and Gunhee Kim ICLR 2024 [code] [pdf]
	Can Language Models Laugh at YouTube Short-form Videos? Dayoon Ko, Sangho Lee, and Gunhee Kim EMNLP 2023 [code] [pdf]
	mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images Keighley Overbay, Jaewoo Ahn, Fatemeh Pesaran Zadeh, Joonsuk Park and Gunhee Kim EMNLP 2023 [code][pdf]
	FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions Hyunwoo Kim, Melanie Sclar (UW), Xuhui Zhou (CMU), Ronan Le Bras (AI2), Gunhee Kim, Yejin Choi (UW, AI2) and Maarten Sap (CMU) EMNLP 2023 (Oral) [code] [pdf]
	SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization Hyunwoo Kim, Jack Hessel (AI2), Liwei Jiang (UW), Peter West (UW), Ximing Lu (UW), Youngjae Yu (Yonsei), Pei Zhou (USC), Ronan Le Bras (AI2), Malihe Alikhani (Northeastern), Gunhee Kim, Maarten Sap (CMU), Yejin Choi (UW, AI2) EMNLP 2023 (Oral) [code & dataset] [pdf] (Outstanding Paper Award)
	Recasting Continual Learning as Sequence Modeling Soochan Lee, Jaehyeon Son and Gunhee Kim NeurIPS 2023 [code] [pdf]
	Federated Learning via Meta-Variational Dropout Insu Jeon, Minui Hong, Junhyeog Yun and Gunhee Kim NeurIPS 2023 [code] [pdf]
	Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation Heeseung Yun^, Joonil Na^ and Gunhee Kim ICCV 2023 [code] [pdf]
	EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization Minjung Kim, Junseo Koo and Gunhee Kim ICCV 2023 [code] [pdf]
	MPCHAT: Towards Multimodal Persona-Grounded Conversation Jaewoo Ahn, Yeda Song, Sangdoo Yun (Naver) and Gunhee Kim ACL 2023 [code & dataset] [pdf]
	Recursion of Thought: A Divide-and-Conquer Approach to Multi-Context Reasoning with Language Models Soochan Lee and Gunhee Kim ACL 2023 (Short Findings)[code] [pdf]
	SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration Hwaran Lee^, Seokhee Hong^, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoungpil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park and Jung-Woo Ha ACL 2023 (Oral) [code & dataset] [pdf] (Best Paper Nomination)
	KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications Hwaran Lee^, Seokhee Hong^, Joonsuk Park, Takyoung Kim, Gunhee Kim and Jung-Woo Ha ACL 2023 (Industry) [code & dataset] [pdf]
	Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning Youngjae Yu^* (AI2), Jiwan Chung^, Heeseung Yun, Jack Hessel (AI2), Jae Sung Park (UW), Ximing Lu (UW), Prithviraj Ammanabrolu (AI2), Rowan Zellers (AI2), Ronan Le Bras (AI2), Gunhee Kim, and Yejin Choi (UW, AI2) CVPR 2023* [code & dataset] [pdf]
	ProsocialDialog: A Prosocial Backbone for Conversational Agents Hyunwoo Kim^, Youngjae Yu^ (AI2), Liwei Jiang (UW), Ximing Lu (UW) Daniel Khashabi (JHU), Gunhee Kim, Yejin Choi (UW, AI2) and Maarten Sap (CMU) EMNLP 2022 [code & dataset] [pdf]
	Constrained GPI for Zero-Shot Transfer in Reinforcement Learning Jaekyeom Kim, Seohong Park and Gunhee Kim NeurIPS 2022 [code] [pdf]
	Panoramic Vision Transformer for Saliency Detection in 360° Videos Heeseung Yun, Sehun Lee and Gunhee Kim ECCV 2022 [code & dataset] [pdf]
	Lipschitz-constrained Unsupervised Skill Discovery Seohong Park, Jongwook Choi (University of Michigan), Jaekyeom Kim, Honglak Lee (University of Michigan) and Gunhee Kim ICLR 2022 [code] [pdf]
	Neural Variational Dropout Processes Insu Jeon, Youngjin Park and Gunhee Kim ICLR 2022 [code] [pdf]
	On Convergence of Lookahead in Smooth Games Junsoo Ha and Gunhee Kim AISTATS 2022 [code] [pdf]
	Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods Seohong Park, Jaekyeom Kim and Gunhee Kim NeurIPS 2021 [code] [pdf]
	Perspective-Taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes Hyunwoo Kim, Byeongchang Kim and Gunhee Kim EMNLP 2021 [code] [pdf]
	Continual Learning on Noisy Data Streams via Self-Purified Replay Chris Dongjoo Kim^, Jinseo Jeong^ and Gunhee Kim ICCV 2021 [code] [pdf]
	Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos Heeseung Yun, Youngjae Yu (Allen Institute for AI), Wonsuk Yang (Oxford university), Kangil Lee (Hyundai Motors) and Gunhee Kim ICCV 2021 [code] [pdf]
	Viewpoint-Agnostic Change Captioning with Cycle Consistency Hoeseong Kim, Jongseok Kim (Violet), Hyungseok Lee (Hyundai Motors), Hyunsung Park (Hyundai Motors) and Gunhee Kim ICCV 2021 [code] [pdf]
	Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning Sangho Lee^, Jiwan Chung^, Youngjae Yu, Gunhee Kim, Thomas Breuel (NVIDIA), Jan Kautz (NVIDIA) and Yale Song (Microsoft Research) ICCV 2021 [code] [pdf]
	Unsupervised Representation Learning via Neural Activation Coding Yookoon Park (Columbia), Sangho Lee, Gunhee Kim and David Blei (Columbia) ICML 2021 (Long) [code] [pdf]
	Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim, Seohong Park and Gunhee Kim ICML 2021 [code] [pdf]
	How Robust are Fact Checking Systems on Colloquial Claims? Byeongchang Kim^, Hyunwoo Kim^, Seokhee Hong and Gunhee Kim NAACL-HLT 2021 [code] [pdf]
	Transitional Adaptation of Pretrained Models for Visual Storytelling Youngjae Yu^, Jiwan Chung^, Jongseok Kim, Heeseung Yun and Gunhee Kim CVPR 2021 [code] [pdf]
	StyleMix: Separating Content and Style for Enhanced Data Augmentation Minui Hong^, Jinwoo Choi^ and Gunhee Kim CVPR 2021 [code] [pdf]
	SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning Myeongjang Pyeon, Jihwan Moon, Taeyoung Hahn and Gunhee Kim ICLR 2021 [code] [pdf]
	Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration Jaekyeom Kim, Minjung Kim, Dongyeon Woo and Gunhee Kim ICLR 2021 [code] [pdf]
	Parameter Efficient Multimodal Transformers for Video Representation Learning Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas Breuel (NVIDIA), Jan Kautz (NVIDIA) and Yale Song (Microsoft Research) ICLR 2021 [code] [pdf]
	Self-Supervised Learning of Compressed Video Representations Youngjae Yu^, Sangho Lee^, Gunhee Kim and Yale Song (Microsoft Research) ICLR 2021 [pdf]
	Dual Compositional Learning in Interactive Image Retrieval Jongseok Kim, Hoeseong Kim, Youngjae Yu and Gunhee Kim AAAI 2021 [code] [pdf]
	IB-GAN: Disentangled Representation Learning with Information Bottleneck GAN Insu Jeon, Wonkwang Lee, Myeongjang Pyeon and Gunhee Kim AAAI 2021 [code] [pdf]
	Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness Hyunwoo Kim, Byeongchang Kim and Gunhee Kim EMNLP 2020 [code] [pdf]
	Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning Jaekyeom Kim, Hyoungseok Harry Kim and Gunhee Kim ECCV 2020 (Oral) [code] [pdf]
	Character Grounding and Re-Identification in Story of Videos and Text Descriptions Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung and Gunhee Kim ECCV 2020 (Spotlight) [code] [pdf]
	Rethinking Class Activation Mapping for Weakly Supervised Object Localization Junhyug Noh^, Wonho Bae^ and Gunhee Kim ECCV 2020 [code] [pdf]
	Imbalanced Continual Learning with Partitioning Reservoir Sampling Chris Dongjoo Kim, Jinseo Jeong and Gunhee Kim ECCV 2020 [code] [pdf]
	Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue Byeongchang Kim, Jaewoo Ahn and Gunhee Kim ICLR 2020 (Spotlight) [code] [pdf]
	A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee, Junsoo Ha, Dongsu Zhang and Gunhee Kim ICLR 2020 [code] [pdf]
	Self-Routing Capsule Networks Taeyoung Hahn, Myeongjang Pyeon and Gunhee Kim NeurIPS 2019 [code] [pdf]
	POL360: A Universal Mobile VR Motion Controller using Polarized Light Hyouk Jang, Juheon Choi and Gunhee Kim ACM VRST 2019 [pdf] [demo] (Best Paper Award - Runner-up)
	Better to Follow, Follow to be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo and Gunhee Kim ICCV 2019 [code] [pdf]
	Variational Laplace Autoencoders Yookoon Park, Chris Dongjoo Kim and Gunhee Kim ICML 2019 [code] [pdf]
	Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty Youngjin Kim, Hyunwoo Kim^, Wontae Nam^ (KC ML2), Ji-Hoon Kim (NAVER) and Gunhee Kim ICML 2019 [code] [pdf]
	Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations Wonhee Lee, Joonil Na and Gunhee Kim CVPR 2019 [code] [pdf]
	AudioCaps: Generating Captions for Audio in the Wild Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee and Gunhee Kim NAACL-HLT 2019 (Oral) [code] [pdf]
	Abstractive Summarization of Reddit Posts with Multi-level Memory Networks Byeongchang Kim, Hyunwoo Kim and Gunhee Kim NAACL-HLT 2019 (Oral) [code] [pdf]
	Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation Soochan Lee, Junsoo Ha and Gunhee Kim ICLR 2019 [code] [pdf]
	Discovery of Natural Language Concepts in Individual Units Seil Na, Yo Joong Choe (KaKao Brain), Dong-Hyun Lee (KaKao Brain), Gunhee Kim ICLR 2019 [code] [pdf]
	A Joint Sequence Fusion Model for Video Question Answering and Retrieval Youngjae Yu, Jongseok Kim and Gunhee Kim ECCV 2018 [code] [pdf]
	Video Prediction with Appearance and Motion Conditions Yunseok Jang, Gunhee Kim, and Yale Song (Microsoft Research) ICML 2018 [code] [pdf]
	Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors Junhyug Noh, Soochan Lee, Beomsu Kim, and Gunhee Kim CVPR 2018 [code] [pdf]
	A Memory Network Approach for Story-based Temporal Summarization of 360° Videos Sangho Lee, Jinyoung Sung, Youngjae Yu, and Gunhee Kim CVPR 2018 [code] [pdf]
	A Hierarchical Latent Structure for Variational Conversation Modeling Yookoon Park, Jaemin Cho and Gunhee Kim NAACL-HLT 2018 (Oral) [code] [pdf]
	Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks Youngjin Kim, Minjung Kim, and Gunhee Kim ICLR 2018 [code] [pdf]
	A Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360° Video Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, and Gunhee Kim AAAI 2018 [pdf]
	A Read-Write Memory Network for Movie Story Understanding Seil Na, Sangho Lee, Jisung Kim (SKT), and Gunhee Kim ICCV 2017 [code] [pdf]
	SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization Juyong Kim, Yookoon Park, Gunhee Kim, and Sung Ju Hwang (KAIST) (: equal contribution) ICML 2017* [code] [pdf]
	Attend to You: Personalized Image Captioning with Context Sequence Memory Networks Cesc Chunseong Park, Byeongchang Kim, and Gunhee Kim CVPR 2017 (Spotlight) [code/dataset] [pdf] A longer version is published in IEEE TPAMI vol.41, no.4, pp.999-1012, April 2019 [link] Towards Personalized Image Captioning via Multimodal Memory Networks
	TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering Yunseok Jang, Yale Song (Yahoo Research), YoungJae Yu, Youngjin Kim, and Gunhee Kim CVPR 2017 (Spotlight) [code/dataset] [pdf] A longer version is accepted in IJCV vol.127, no.10, pp.1385-1412, October 2019 [link] Video Question Answering with Spatio-Temporal Reasoning
	Supervising Neural Attention Models for Video Captioning by Human Gaze Data YoungJae Yu, Jongwook Choi, Yeonhwa Kim, Kyung Yoo, Sang-Hun Lee, and Gunhee Kim CVPR 2017 [pdf]
	End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering YoungJae Yu, Hyungjin Ko, Jongwook Choi and Gunhee Kim CVPR 2017 (Spotlight) [code] [pdf] Winners of two tracks of LSMDC 2016 (Annotation and Retrieval, and Fill-in-the-Blank) [old paper] [presentation]
	Detection and Recognition of Text Embedded in Online Images via Neural Context Models Chulmoo Kang, Gunhee Kim, and Suk I. Yoo AAAI 2017 [pdf]
	Taxonomy-Regularized Semantic Deep Convolutional Neural Networks Wonjoon Goo, Juyong Kim, Gunhee Kim, and Sung Ju Hwang (UNIST) ECCV 2016 [code] [pdf]
	Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie (CMU), Gunhee Kim, Qirong Ho (I2R), and Eric P. Xing (CMU) ATC 2016 (Poster), ICML 2016 MLsys workshop, arXiv:1512.06216 [code] [wiki] [pdf]
	A Calibration Method for Optical See-through Head Mounted Displays with a Depth Camera Hanseul Jun (SNU) and Gunhee Kim IEEE VR 2016(Acceptance = 25.9%) [project] [pdf]
	Expressing an Image Stream with a Sequence of Natural Sentences Cesc Chunseong Park (SNU) and Gunhee Kim NIPS 2015(Acceptance = 403/1838~21.9%) [code] [pdf] A longer version is published in IEEE TPAMI vol.40, no.4, pp.945-957, April 2018 [link] Retrieval of Sentence Sequences for an Image Stream via Coherence Recurrent Convolutional Networks
	Storyline Representation of Egocentric Videos and Its Applications to Story-based Search Bo Xiong (UT Austin), Gunhee Kim, and Leonid Sigal (Disney Research) ICCV 2015(Acceptance = 525/1698~30.9%)
	Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data Hao Zhang (CMU), Gunhee Kim, and Eric P. Xing (CMU) KDD 2015 (Research) (Acceptance = 159/819~19.4%)
	Discovering Collective Narratives of Theme Parks from Large Collections of Visitors’ Photo Streams Gunhee Kim and Leonid Sigal (Disney Research) KDD 2015 (Practice)
	Ranking and Retrieval of Image Sequences from Multiple Paragraph Queries Gunhee Kim, Seungwhan Moon (CMU), and Leonid Sigal (Disney Research) CVPR 2015 (Acceptance = 602/2123~28.4%)
	Joint Photo Stream and Blog Post Summarization and Exploration Gunhee Kim, Seungwhan Moon (CMU), and Leonid Sigal (Disney Research) CVPR 2015 (Acceptance = 602/2123~28.4%)
	Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos Gunhee Kim and Eric P. Xing (CMU) CVPR 2014 (Oral) (Acceptance = 104/1807~5.75%)
	Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction Gunhee Kim, Leonid Sigal (Disney Research), and Eric P. Xing (CMU) CVPR 2014 (Acceptance = 540/1807~29.88%)
	Visualizing Brand Associations from Web Community Photos Gunhee Kim and Eric P. Xing (CMU) WSDM 2014 (Acceptance = 64/356~18.0%) A shorter version in LSVisCom (with ICCV 2013) (Best Paper Award) Press Release: [CMU News][Science Daily] [Register] [Popcity]
	Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines Gunhee Kim and Eric P. Xing (CMU) CVPR 2013 (Oral) (Acceptance = 60/1870~3.2%)
	Time-Sensitive Web Image Ranking and Retrieval via Dynamic Multi-Task Regression Gunhee Kim and Eric P. Xing (CMU) WSDM 2013 (Acceptance = 73/387~18.9%)
	Web Image Prediction Using Multivariate Point Processes Gunhee Kim, Li Fei-Fei (Stanford), and Eric P. Xing (CMU) KDD 2012 (Research) (Acceptance = 133/755~17.6%)
	On Multiple Foreground Cosegmentation Gunhee Kim and Eric P. Xing (CMU) CVPR 2012 (Oral) (Acceptance = 48/1933~2.48%)
	Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion Gunhee Kim, Eric P. Xing (CMU), Li Fei-Fei (Stanford), and Takeo Kanade (CMU) ICCV 2011 (Oral) (Acceptance = 45/1285~3.50%)
	Modeling and Analysis of Dynamic Behaviors of Web Image Collections Gunhee Kim, Eric P. Xing (CMU) and Antonio Torralba (MIT) ECCV 2010 (Acceptance = 322/1174~27.4%)
	Unsupervised Detection of Regions of Interest Using Iterative Link Analysis Gunhee Kim and Antonio Torralba (MIT) NIPS 2009 (Acceptance = 263/1105~23.8%)
	Unsupervised Modeling and Recognition of Object Categories with Combination of Visual Contents and Geometric Similarity Links Gunhee Kim, Christos Faloutsos (CMU) and Martial Hebert (CMU) ACM MIR 2008 (Oral) (Acceptance =20/264~7.6%)
	Unsupervised Modeling of Object Categories Using Link Analysis Techniques Gunhee Kim, Christos Faloutsos (CMU) and Martial Hebert (CMU) CVPR 2008 (Oral) (Acceptance =62/1593~3.9%)
	Detection of Salient Regions using Imagery and 3-D Data Gunhee Kim, Daniel Huber (CMU) and Martial Hebert (CMU) WACV 2008 (Oral)
	Line Feature-based Object Recognition for Textureless Indoor Objects Gunhee Kim and Martial Hebert (CMU) ICAR 2008