Publications

2026

Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning

Dayoon Ko, Jihyuk Kim, Haeju Park, Sohyeon Kim, Dahyun Lee, Yongrae Jo, Gunhee Kim, Moontae Lee and Kyungjae Lee
ICLR 2026 [PDF] [Code] [Project Page]

MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering

Seokwon Song, Minsu Park and Gunhee Kim
AAAI 2026 [PDF] [Code]

Gaussian Blending: Rethinking Alpha Blending in 3D Gaussian Splatting

Junseo Koo, Jinseo Jeong and Gunhee Kim
AAAI 2026 [PDF] [Project Page] [Code]

2025

Gaze Beyond the Frame: Forecasting Egocentric 3D Visual Span

Heeseung Yun, Joonil Na, Jaeyeon Kim, Calvin Murdock and Gunhee Kim
NeurIPS 2025 (Spotlight) [PDF]

FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games

Jaewoo Ahn, Junseo Kim, Heeseung Yun, Jaehyeon Son, Dongmin Park, Jaewoong Cho and Gunhee Kim
EMNLP 2025 [PDF] [Project Page] [Code]

Think, Verbalize, then Speak: Bridging Complex Thoughts with Comprehensible Speech

Sanghoon Woo*, Sehun Lee*, Kangwook Kim and Gunhee Kim
EMNLP 2025 [PDF] [Project Page]

ChartCap: Mitigating Hallucination of Dense Chart Captioning

Junyoung Lim, Jaewoo Ahn and Gunhee Kim
ICCV 2025 (Highlight) [PDF] [Code]

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields

Junhyeog Yun, Minui Hong and Gunhee Kim
ICCV 2025 [PDF]

GradNormIR: When Should We Update the Dense Retriever in Evolving Corpora?

Dayoon Ko, Jinyoung Kim, Sohyeon Kim, Jinhyuk Kim, Jaehoon Lee, Seonghak Song, Minyoung Lee and Gunhee Kim
ACL 2025 (Findings) [PDF] [Code]

LPOI: Listwise Preference Optimization for Vision Language Models

Fatemeh Pesaran, Yoojin Oh and Gunhee Kim
ACL 2025 [PDF] [Code]

Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates

Jaewoo Ahn, Heeseung Yun, Dayoon Ko and Gunhee Kim
ACL 2025 [PDF] [Code]

How to Move Your Dragon: Text-To-Motion Synthesis For Large-Vocabulary Objects

Wonkwang Lee, Jongwon Jeong, Taehong Moon, Hyeonjong Kim, Jaehyeon Kim, Gunhee Kim and Byeonguk Lee
ICML 2025 [PDF] [Project Page]

ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams

Chris Dongjoo Kim*, Jihwan Moon*, Sangwoo Moon, Heeseung Yun, Sihaeng Lee, Aniruddha Kembhavi, Soonyoung Lee, Gunhee Kim, Sangho Lee and Christopher Clark
CVPR 2025 [PDF] [Code]

HalLoc: Token-level Localization of Hallucinations for Vision Language Models

Eunkyu Park*, Minyeong Kim* and Gunhee Kim (* equal contribution)
CVPR 2025 [PDF] [Code]

ViSAGe: Video-to-Spatial Audio Generation

Jaeyeon Kim, Heeseung Yun and Gunhee Kim
ICLR 2025 [PDF] [Project Page]

Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning

Jaehyeon Son, Soochan Lee and Gunhee Kim
ICLR 2025 [PDF] [Code]

Meta-Continual Learning of Neural Fields

Seungyoon Woo, Junhyeog Yun and Gunhee Kim
ICLR 2025 [PDF]

Is a Peeled Apple Still Red? Evaluating LLMs' Ability for Conceptual Combination with Property Type

Seokwon Song*, Taehyun Lee*, Jaewoo Ahn, Jaehyuk Sung and Gunhee Kim (* equal contribution)
NAACL 2025 (Oral) [PDF] [Code]

Behavior-SD: Behaviorally Aware Spoken Dialogue Generation with Large Language Models

Sehun Lee*, Kangwook Kim* and Gunhee Kim (* equal contribution)
NAACL 2025 (SAC Award, Oral) [PDF] [Project Page] [Code]

2024

FedAvP: Augment Local Data via Shared Policy in Federated Learning

Minui Hong, Junhyeog Yun, Insu Jeon and Gunhee Kim
NeurIPS 2024 [PDF]

Sample Selection via Contrastive Fragmentation for Noisy Label Regression

Chris Dongjoo Kim*, Sangwoo Moon*, Jihwan Moon, Dongyeon Woo and Gunhee Kim (* equal contribution)
NeurIPS 2024 [PDF] [Code]

Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback

Fatemeh Pesaran, Juyeon Kim, Jin-Hwa Kim and Gunhee Kim
EMNLP 2024 (Oral) [PDF] [Code]

DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG

Jinyoung Kim, Dayoon Ko and Gunhee Kim
EMNLP 2024 [PDF] [Code]

When Meta-Learning Meets Online and Continual Learning: A Survey

Jaehyeon Son*, Soochan Lee* and Gunhee Kim (* equal contribution)
TPAMI 2024 [PDF]

Meta-Learning Approach for Joint Multimodal Signals with Multimodal Iterative Adaptation

Sehun Lee*, Wonkwang Lee* and Gunhee Kim (* equal contribution)
TMLR 2024 [PDF] [Code]

Spherical World-Locking for Audio-Visual Localization in Egocentric Videos

Heeseung Yun, Ruohan Gao, Ishwarya Ananthabhotla, Anurag Kumar, Jacob Donley, Chao Li, Vamsi Krishna Ithapu, Calvin Murdock and Gunhee Kim
ECCV 2024 [PDF] [Code]

Bi-directional Contextual Attention for 3D Dense Captioning

Minjung Kim, Hyungsuk Lim, Soonyoung Lee, Bumsoo Kim and Gunhee Kim
ECCV 2024 (Oral) [PDF] [Project Page]

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 (* equal contribution)
ACL 2024 [PDF] [Code]

TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models

Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jinhwa Kim, Sangdoo Yun, Hwaran Lee and Gunhee Kim
ACL 2024 (Findings) [PDF] [Project Page] [Code]

See It All: Contextualized Late Aggregation for 3D Dense Captioning

Minjung Kim, Hyungsuk Lim, Seunghwan Kim, Soonyoung Lee, Bumsoo Kim and Gunhee Kim
ACL 2024 (Findings) [PDF]

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning

Yeda Song*, Dongwook Lee* and Gunhee Kim (* equal contribution)
ICLR 2024 [PDF] [Code]

2023

mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images

Keighley Overbay, Jaewoo Ahn, Fatemeh Pesaran, Joonsuk Park and Gunhee Kim
EMNLP 2023 [PDF] [Code]

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization

Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap and Yejin Choi
EMNLP 2023 [PDF] [Code]

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions

Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi and Maarten Sap
EMNLP 2023 [PDF] [Project Page] [Code]

Can Language Models Laugh at YouTube Short-form Videos?

Dayoon Ko, Sangho Lee and Gunhee Kim
EMNLP 2023 [PDF] [Code]

Recasting Continual Learning as Sequence Modeling

Soochan Lee, Jaehyeon Son and Gunhee Kim
NeurIPS 2023 [PDF] [Code]

Federated Learning via Meta-Variational Dropout

Insu Jeon, Minui Hong, Junhyeog Yun and Gunhee Kim
NeurIPS 2023 [PDF] [Code]

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 [PDF] [Code]

Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation

Heeseung Yun*, Joonil Na* and Gunhee Kim (* equal contribution)
ICCV 2023 [PDF] [Code]

SQuARe: A Large Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human Machine Collaboration

Hwaran Lee*, Seokhee Hong*, Joonsuk Park, Takyuong Kim, Meeyoung Cha, Yejin Choi, Byoungpil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park and Jung-Woo Ha (* equal contribution)
ACL 2023 [PDF] [Code]

Recursion of Thought: A Divide-and-Conquer Approach to Multi Context Reasoning with Language Models

Soochan Lee and Gunhee Kim
ACL 2023(Short, Findings) [PDF] [Code]

MPCHAT: Towards Multimodal Persona-Grounded Conversation

Jaewoo Ahn, Yeda Song, Sangdoo Yun and Gunhee Kim
ACL 2023 [PDF] [Code]

KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications

Hwaran Lee*, Seokhee Hong*, Joonsuk Park, Takyuong Kim, Gunhee Kim and Jung-Woo Ha (* equal contribution)
ACL 2023(Industry Track) [PDF] [Code]

Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning

Youngjae Yu*, Jiwan Chung*, Heeseung Yun, Jack Hessel (AI2), Jaesung Park (UW), Ximing Lu (UW), Prithviraj Ammanabrolu (AI2), Rowan Zellers (AI2), Ronan Le Bras (AI2), Gunhee Kim and Yejin Choi (UW, AI2) (* equal contribution)
CVPR 2023 [PDF] [Code]

2022

ProsocialDialog: A Prosocial Backbone for Conversational Agents

Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi and Maarten Sap
EMNLP 2022 [PDF] [Code]

Constrained GPI for Zero-Shot Transfer in Reinforcement Learning

Jaekyeom Kim, Seohong Park and Gunhee Kim
NeurIPS 2022 [PDF] [Project Page] [Code]

Panoramic Vision Transformer for Saliency Detection in 360◦ Videos

Heeseung Yun, Sehun Lee and Gunhee Kim
ECCV 2022 [PDF] [Code]

On Convergence of Lookahead in Smooth Games

Junsoo Ha and Gunhee Kim
AISTATS 2022 [PDF] [Code]

Neural Variational Dropout Processes

Insu Jeon, Youngjin Park and Gunhee Kim
ICLR 2022 [PDF] [Code]

Lipschitz-constrained Unsupervised Skill Discovery

Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee and Gunhee Kim
ICLR 2022 [PDF] [Code]

2021

Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods

Seohong Park, Jaekyeom Kim and Gunhee Kim
Neurips 2021 [PDF] [Code]

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes

Hyunwoo Kim, Byeongchang Kim and Gunhee Kim
EMNLP 2021 [PDF] [Code]

Viewpoint-Agnostic Change Captioning with Cycle Consistency

Hoeseong Kim, Jongseok Kim, Hyungseok Lee (Hyundai Motors), Hyunsung Park (Hyundai Motors) and Gunhee Kim
ICCV 2021 [PDF]

Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos

Heeseung Yun, Youngjae Yu, Wonsuk Yang (Oxford University), Kangil Lee (Hyundai Motors) and Gunhee Kim
ICCV 2021 [PDF] [Code]

Continual Learning on Noisy Data Streams via Self-Purified Replay

Chris Dongjoo Kim*, Jinseo Jeong*, Sangwoo Moon and Gunhee Kim (* equal contribution)
ICCV 2021 [PDF] [Code]

ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning

Sangho Lee*, Jiwan Chung*, Youngjae Yu, Gunhee Kim, Thomas Breuel (NVIDIA), Gal Chechik (NVIDIA) and Yale Song (Microsoft) (* equal contribution)
ICCV 2021 [PDF] [Code]

Unsupervised Skill Discovery with Bottleneck Option Learning

Jaekyeom Kim*, Seohong Park* and Gunhee Kim (* equal contribution)
ICML 2021 [PDF] [Code]

Unsupervised Representation Learning via Neural Activation Coding

Yookoon Park, Sangho Lee, Gunhee Kim and David Blei
ICML 2021 (Oral) [PDF] [Code]

How Robust are Fact Checking Systems on Colloquial Claims?

Byeongchang Kim*, Hyunwoo Kim*, Seokhee Hong and Gunhee Kim (* equal contribution)
NAACL-HLT 2021 [PDF] [Code]

Transitional Adaptation of Pretrained Models for Visual Storytelling

Youngjae Yu*, Jiwan Chung*, Jongseok Kim, Heeseung Yun and Gunhee Kim (* equal contribution)
CVPR 2021 [PDF] [Code]

StyleMix: Separating Content and Style for Enhanced Data Augmentation

Minui Hong*, Jinwoo Choi* and Gunhee Kim (* equal contribution)
CVPR 2021 [PDF] [Code]

Self-Supervised Learning of Compressed Video Representations

Youngjae Yu*, Sangho Lee*, Yale Song and Gunhee Kim (* equal contribution)
ICLR 2021 [PDF]

SEDONA: Search for Decoupled Neural Networks Toward Greedy Block-wise Learning

Myeongjang Pyeon, Jihwan Moon, Taeyoung Hahn and Gunhee Kim
ICLR 2021 [PDF] [Code]

Parameter Efficient Multimodal Transformers for Video Representation Learning

Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas Breuel, Jan Kautz and Yale Song
ICLR 2021 [PDF] [Code]

Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration

Jaekyeom Kim, Minjung Kim, Dongyeon Woo and Gunhee Kim
ICLR 2021 [PDF] [Code]

IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks

Insu Jeon, Wonkwang Lee, Myeongjang Pyeon and Gunhee Kim
AAAI 2021 [PDF]

Dual Compositional Learning in Interactive Image Retrieval

Jongseok Kim, Youngjae Yu, Hoeseong Kim and Gunhee Kim
AAAI 2021 [PDF] [Code]

2020

Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness

Hyunwoo Kim, Byeongchang Kim and Gunhee Kim
EMNLP 2020 [PDF] [Code]

Rethinking Class Activation Mapping for Weakly Supervised Object Localization

Junhyug Noh, Wonho Bae and Gunhee Kim
ECCV 2020 [PDF] [Code]

Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning

Jaekyeom Kim, Hyoungseok Harry Kim and Gunhee Kim
ECCV 2020 (Oral) [PDF] [Code]

Imbalanced Continual Learning with Partitioning Reservoir Sampling

Chris Dongjoo Kim, Jinseo Jeong and Gunhee Kim
ECCV 2020 [PDF] [Code]

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) [PDF] [Code]

Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue

Byeongchang Kim, Jaewoo Ahn and Gunhee Kim
ICLR 2020 (Spotlight) [PDF] [Code]

A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning

Soochan Lee, Junsoo Ha, Dongsu Zhang and Gunhee Kim
ICLR 2020 [PDF] [Code]

2019

POL360: A Universal Mobile VR Motion Controller using Polarized Light

Hyouk Jang, Juheon Choi(SOCAR) and Gunhee Kim
ACM VRST 2019 (Best Paper Award - Runner-up) [PDF] [Demo]

Self-Routing Capsule Networks

Taeyoung Hahn, Myeongjang Pyeon and Gunhee Kim
NeurIPS 2019 [PDF] [Code]

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 [PDF] [Code]

Video Question Answering with Spatio-Temporal Reasoning

Yunseok Jang, Yale Song(Microsoft AI & Research), Chris Dongjoo Kim, Youngjae Yu, Youngjin Kim and Gunhee Kim
IJCV 2019 (Volume: 127, Issue: 10, pp: 1385-1412 18 June 2019) DOI: 10.1007/s11263-019-01189-x [PDF]

Curiosity-Bottleneck: Exploration by Distilling Task-Specific Novelty

Youngjin Kim, Hyunwoo Kim*, Wontae Nam*(KC ML2), Jihoon Kim(NAVER) and Gunhee Kim (* equal contribution)
ICML 2019 [PDF] [Code]

Variational Laplace Autoencoders

Yookoon Park, Chris Dongjoo Kim and Gunhee Kim
ICML 2019 [PDF] [Code]

Multi-task Self-Supervised Object Detection via Recycling of Bounding Box Annotations

Wonhee Lee, Joonil Na and Gunhee Kim
CVPR 2019 [PDF] [Code]

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks

Byeongchang Kim, Hyunwoo Kim and Gunhee Kim
NAACL-HLT 2019 (Oral) [PDF] [Code&Dataset]

AudioCaps: Generating Captions for Audios in The Wild

Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee and Gunhee Kim
NAACL-HLT 2019 (Oral) [PDF] [Code&Dataset]

Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation

Soochan Lee, Junsoo Ha and Gunhee Kim
ICLR 2019 [PDF] [Project] [Code]

Discovery of Natural Language Concepts in Individual Units of CNNs

Seil Na, Yo Joong Choe(KAKAO), Dong-Hyun Lee(KAKAO Brain) and Gunhee Kim
ICLR 2019 [PDF] [Code]

2018

A Joint Sequence Fusion Model for Video Question Answering and Retrieval

Youngjae Yu, Jongseok Kim and Gunhee Kim
ECCV 2018 [PDF] [Code]

Video Prediction with Appearance and Motion Conditions

Yunseok Jang, Gunhee Kim and Yale Song(Microsoft AI & Research)
ICML 2018 [PDF] [Code]

Towards Personalized Image Captioning via Multimodal Memory Networks

Cesc Chunseong Park, Byeongchang Kim and Gunhee Kim
IEEE TPAMI (Volume: 41, Issue: 4, 1 April 2019) DOI: 10.1109/TPAMI.2018.2824816 [PDF] [Code&Dataset]

Retrieval of Sentence Sequences for an Image Stream via Coherence Recurrent Convolutional Networks

Cesc Chunseong Park, Youngjin Kim and Gunhee Kim
IEEE TPAMI (Volume: 40, Issue: 4, 1 April 2018) DOI: 10.1109/TPAMI.2017.2700381 [PDF] [Code]

Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors

Junhyug Noh, Soochan Lee, Beomsu Kim and Gunhee Kim
CVPR 2018 [PDF] [Code]

A Memory Network Approach for Story-based Temporal Summarization of 360° Videos

Sangho Lee, Jinyoung Sung, Youngjae Yu and Gunhee Kim
CVPR 2018 [PDF] [Code&Dataset]

A Hierarchical Latent Structure for Variational Conversation Modeling

Yookoon Park, Jaemin Cho and Gunhee Kim
NAACL-HLT 2018 (Oral) [PDF] [Code]

Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks

Youngjin Kim, Minjung Kim and Gunhee Kim
ICLR 2018 [PDF] [Code]

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 (Spotlight) [PDF]

2017

A Read-Write Memory Network for Movie Story Understanding

Seil Na, Sangho Lee, Jisung Kim(SKT) and Gunhee Kim
ICCV 2017 [PDF] [Project]

SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization

Juyong Kim*, Yookoon Park*, Gunhee Kim and Sung Ju Hwang(UNIST) (* equal contribution)
ICML 2017 [PDF] [Project]

Attend to You: Personalized Image Captioning with Context Sequence Memory Networks

Cesc Chunseong Park, Byeongchang Kim and Gunhee Kim
CVPR 2017 (Spotlight) [PDF] [Project]

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) [PDF] [Project]

Supervising Neural Attention Models for Video Captioning by Human Gaze Data

Youngjae Yu, Jongwook Choi, 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)
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] [Project]

2016

Taxonomy-Regularized Semantic Deep Convolutional Neural Networks

Wonjoon Goo, Juyong Kim, Gunhee Kim and Sung Ju Hwang(UNIST)
ECCV 2016 [PDF] [Project]

A Calibration Method for Optical See-through Head Mounted Displays with a Depth Camera

Hanseul Jun and Gunhee Kim
IEEE VR 2016 [PDF] [Project]

2015

Expressing an Image Stream with a Sequence of Natural Sentences

Cesc Chunseong Park and Gunhee Kim
NIPS 2015 [PDF] [Project]

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 [PDF]

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) [PDF] [Project]

Discovering Collective Narratives of Theme Parks from Large Collections of Visitors’ Photo Streams

Gunhee Kim and Leonid Sigal(Disney Research)
KDD 2015 (Practice) [PDF] [Project]

Ranking and Retrieval of Image Sequences from Multiple Paragraph Queries

Gunhee Kim, Seungwhan Moon(CMU) and Leonid Sigal(Disney Research)
CVPR 2015 [PDF] [Project]

Joint Photo Stream and Blog Post Summarization and Exploration

Gunhee Kim, Seungwhan Moon(CMU) and Leonid Sigal(Disney Research)
CVPR 2015 [PDF] [Project]

2014

Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos

Gunhee Kim and Eric P. Xing(CMU)
CVPR 2014 (Oral) [PDF] [Project]

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 [PDF] [Project]

Visualizing Brand Associations from Web Community Photos

Gunhee Kim and Eric P. Xing(CMU)
WSDM 2014 [PDF] [Project]

Discovering Pictorial Brand Associations from Large-Scale Online Image Data

Gunhee Kim and Eric P. Xing(CMU)
LSVisCom workshop with ICCV 2013 [PDF] [Project]

2013

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) [PDF] [Project]

Time-Sensitive Web Image Ranking and Retrieval via Dynamic Multi-Task Regression

Gunhee Kim and Eric P. Xing(CMU)
WSDM 2013 [PDF] [Project]

2012

Web Image Prediction Using Multivariate Point Processes

Gunhee Kim, Li Fei-Fei(Stanford) and Eric P. Xing(CMU)
KDD 2012 [PDF] [Project]

On Multiple Foreground Cosegmentation

Gunhee Kim and Eric P. Xing(CMU)
CVPR 2012 (Oral) [PDF] [Project]

2011

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) [PDF] [Project]

2010

Modeling and Analysis of Dynamic Behaviors of Web Image Collections

Gunhee Kim, Eric P. Xing(CMU) and Antonio Torralba(MIT)
ECCV 2010 [PDF] [Project]

QMAS: Querying, Mining And Summarization of Multi-modal Databases

Robson L. F. Cordeiro, Fan Guo, Donna S. Haverkamp, James H. Horne, Ellen K. Hughes, Gunhee Kim, Agma J. M. Traina, Caetano Traina Jr and Christos Faloutsos
ICDM 2010 [PDF]

2009

Unsupervised Detection of Regions of Interest Using Iterative Link Analysis

Gunhee Kim and Antonio Torralba(MIT)
NIPS 2009 [PDF] [Project]

Object Recognition with 3D Models

Bernd Heisele, Gunhee Kim and Andrew J. Meyer
BMVC 2009 [PDF]

2008

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) [PDF] [Project]

Unsupervised Modeling of Object Categories Using Link Analysis Techniques

Gunhee Kim, Christos Faloutsos(CMU) and Martial Hebert(CMU)
CVPR 2008 (Oral) [PDF] [Project]

Detection of Salient Regions using Imagery and 3-D Data

Gunhee Kim, Daniel Huber(CMU) and Martial Hebert(CMU)
WACV 2008 (Oral) [PDF] [Project]

Line Feature-based Object Recognition for Textureless Indoor Objects

Gunhee Kim and Martial Hebert(CMU)
ICAR 2008 [Project]