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2020 – today
- 2024
[c120]Dayoon Ko, Jinyoung Kim, Hahyeon Choi, Gunhee Kim:
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge? ACL (1) 2024: 3282-3308- [c119]Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, Gunhee Kim:
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. ACL (Findings) 2024: 3291-3325 - [c118]Minjung Kim, Hyung Lim, Seung Hwan Kim, Soonyoung Lee, Bumsoo Kim, Gunhee Kim:
See It All: Contextualized Late Aggregation for 3D Dense Captioning. ACL (Findings) 2024: 3395-3405 - [c117]Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim:
Who Wrote this Code? Watermarking for Code Generation. ACL (1) 2024: 4890-4911 - [c116]Jinseo Jeong, Junseo Koo, Qimeng Zhang, Gunhee Kim:
ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-View Images. CVPR 2024: 4598-4609 - [c115]Heeseung Yun, Ruohan Gao, Ishwarya Ananthabhotla, Anurag Kumar, Jacob Donley, Chao Li, Gunhee Kim, Vamsi Krishna Ithapu, Calvin Murdock:
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos. ECCV (24) 2024: 256-274 - [c114]Minjung Kim
, Hyung Suk Lim, Soonyoung Lee, Bumsoo Kim, Gunhee Kim:
Bi-directional Contextual Attention for 3D Dense Captioning. ECCV (18) 2024: 385-401 - [c113]Fatemeh Pesaran Zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim:
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback. EMNLP 2024: 11459-11480 - [c112]Jinyoung Kim, Dayoon Ko, Gunhee Kim:
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG. EMNLP 2024: 13752-13770 - [c111]Yeda Song, Dongwook Lee, Gunhee Kim:
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning. ICLR 2024 - [c110]Soochan Lee, Hyeonseong Jeon, Jaehyeon Son, Gunhee Kim:
Learning to Continually Learn with the Bayesian Principle. ICML 2024 - [i62]Yeda Song, Dongwook Lee, Gunhee Kim:
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning. CoRR abs/2404.04682 (2024) - [i61]Jinseo Jeong, Junseo Koo, Qimeng Zhang, Gunhee Kim:
ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images. CoRR abs/2404.15707 (2024) - [i60]Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, Gunhee Kim:
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. CoRR abs/2405.18027 (2024) - [i59]Soochan Lee, Hyeonseong Jeon, Jaehyeon Son, Gunhee Kim:
Learning to Continually Learn with the Bayesian Principle. CoRR abs/2405.18758 (2024) - [i58]Dayoon Ko, Jinyoung Kim, Hahyeon Choi, Gunhee Kim:
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge? CoRR abs/2406.05606 (2024) - [i57]Heeseung Yun, Ruohan Gao, Ishwarya Ananthabhotla, Anurag Kumar, Jacob Donley, Chao Li, Gunhee Kim, Vamsi Krishna Ithapu, Calvin Murdock:
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos. CoRR abs/2408.05364 (2024) - [i56]Minjung Kim, Hyung Suk Lim, Soonyoung Lee, Bumsoo Kim, Gunhee Kim:
Bi-directional Contextual Attention for 3D Dense Captioning. CoRR abs/2408.06662 (2024) - [i55]Minjung Kim, Hyung Suk Lim, Seung Hwan Kim, Soonyoung Lee, Bumsoo Kim, Gunhee Kim:
See It All: Contextualized Late Aggregation for 3D Dense Captioning. CoRR abs/2408.07648 (2024) - [i54]Fatemeh Pesaran Zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim:
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback. CoRR abs/2410.04064 (2024) - [i53]Jinyoung Kim, Dayoon Ko, Gunhee Kim:
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG. CoRR abs/2410.11494 (2024) - 2023
- [c109]Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Gunhee Kim, Jung-Woo Ha:
KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications. ACL (industry) 2023: 208-224 - [c108]Soochan Lee, Gunhee Kim:
Recursion of Thought: A Divide-and-Conquer Approach to Multi-Context Reasoning with Language Models. ACL (Findings) 2023: 623-658 - [c107]Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim:
MPCHAT: Towards Multimodal Persona-Grounded Conversation. ACL (1) 2023: 3354-3377 - [c106]Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha:
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. ACL (1) 2023: 6692-6712 - [c105]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi:
Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. CVPR 2023: 10845-10856 - [c104]Dayoon Ko, Sangho Lee, Gunhee Kim:
Can Language Models Laugh at YouTube Short-form Videos? EMNLP 2023: 2897-2916 - [c103]Keighley Overbay, Jaewoo Ahn, Fatemeh Pesaran Zadeh, Joonsuk Park, Gunhee Kim:
mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images. EMNLP 2023: 4117-4132 - [c102]Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, 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. EMNLP 2023: 12930-12949 - [c101]Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap:
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. EMNLP 2023: 14397-14413 - [c100]Heeseung Yun, Joonil Na, Gunhee Kim:
Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation. ICCV 2023: 7829-7838 - [c99]Minjung Kim, Junseo Koo, Gunhee Kim:
EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization. ICCV 2023: 21470-21480 - [c98]Insu Jeon, Minui Hong, Junhyeog Yun, Gunhee Kim:
Federated Learning via Meta-Variational Dropout. NeurIPS 2023 - [c97]Geonu Kim, Byunggook Na, Gunhee Kim, Hyuntae Cho, Seungjin Kang, Hee Sun Lee, Saerom Choi, Heejae Kim, Seungwon Lee, Yongdeok Kim:
Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis. NeurIPS 2023 - [c96]Soochan Lee, Jaehyeon Son, Gunhee Kim:
Recasting Continual Learning as Sequence Modeling. NeurIPS 2023 - [i52]Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim:
Who Wrote this Code? Watermarking for Code Generation. CoRR abs/2305.15060 (2023) - [i51]Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim:
MPCHAT: Towards Multimodal Persona-Grounded Conversation. CoRR abs/2305.17388 (2023) - [i50]Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha:
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration. CoRR abs/2305.17696 (2023) - [i49]Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Gunhee Kim, Jung-Woo Ha:
KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application. CoRR abs/2305.17701 (2023) - [i48]Soochan Lee, Gunhee Kim:
Recursion of Thought: A Divide-and-Conquer Approach to Multi-Context Reasoning with Language Models. CoRR abs/2306.06891 (2023) - [i47]Minjung Kim, Junseo Koo, Gunhee Kim:
EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization. CoRR abs/2309.07471 (2023) - [i46]Heeseung Yun, Joonil Na, Gunhee Kim:
Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation. CoRR abs/2309.11081 (2023) - [i45]Soochan Lee, Jaehyeon Son, Gunhee Kim:
Recasting Continual Learning as Sequence Modeling. CoRR abs/2310.11952 (2023) - [i44]Dayoon Ko, Sangho Lee, Gunhee Kim:
Can Language Models Laugh at YouTube Short-form Videos? CoRR abs/2310.14159 (2023) - [i43]Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap:
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. CoRR abs/2310.15421 (2023) - [i42]Jaehyeon Son, Soochan Lee, Gunhee Kim:
When Meta-Learning Meets Online and Continual Learning: A Survey. CoRR abs/2311.05241 (2023) - 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 S. 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]