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2020 – today
- 2024
[j3]Jeongeun Park
, Seungwon Lim, Joonhyung Lee, Sangbeom Park, Minsuk Chang, Youngjae Yu, Sungjoon Choi:
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents. IEEE Robotics Autom. Lett. 9(2): 1059-1066 (2024)- [c41]Daechul Ahn, Yura Choi, Youngjae Yu, Dongyeop Kang, Jonghyun Choi:
Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback. ACL (1) 2024: 923-940 - [c40]Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee:
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. ACL (Findings) 2024: 1105-1120 - [c39]Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu:
Aligning Large Language Models by On-Policy Self-Judgment. ACL (1) 2024: 11442-11459 - [c38]Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo:
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation. ACL (1) 2024: 15232-15261 - [c37]Hyolim Kang, Jeongseok Hyun, Joungbin An, Youngjae Yu, Seon Joo Kim:
ActionSwitch: Class-Agnostic Detection of Simultaneous Actions in Streaming Videos. ECCV (10) 2024: 383-400 - [c36]Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu:
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. EMNLP 2024: 2423-2451 - [c35]Jiwan Chung, Seungwon Lim, Jaehyun Jeon, Seungbeen Lee, Youngjae Yu:
Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you! EMNLP 2024: 2452-2469 - [c34]Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel:
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. EMNLP (Findings) 2024: 13060-13077 - [c33]Suyeon Lee, Sunghwan Kim, Minju Kim, Dongjin Kang, Dongil Yang, Harim Kim, Minseok Kang, Dayi Jung, Min Hee Kim, Seungbeen Lee, Kyoung-Mee Chung, Youngjae Yu, Dongha Lee, Jinyoung Yeo:
Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory. EMNLP (Findings) 2024: 14245-14274 - [c32]Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Sunghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo:
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models. EMNLP 2024: 22471-22502 - [c31]Lee Hyun, Kim Sung-Bin, Seungju Han, Youngjae Yu, Tae-Hyun Oh:
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. NAACL-HLT (Findings) 2024: 1149-1167 - [i48]Daechul Ahn, Yura Choi, Youngjae Yu, Dongyeop Kang, Jonghyun Choi:
Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback. CoRR abs/2402.03746 (2024) - [i47]Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu:
Aligning Large Language Models by On-Policy Self-Judgment. CoRR abs/2402.11253 (2024) - [i46]Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo:
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation. CoRR abs/2402.13211 (2024) - [i45]Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, Soyeon Chun, Hyunseo Kim, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee:
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. CoRR abs/2403.04460 (2024) - [i44]Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Seonghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo:
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models. CoRR abs/2404.02575 (2024) - [i43]Daechul Ahn, Yura Choi, San Kim, Youngjae Yu, Dongyeop Kang, Jonghyun Choi:
i-SRT: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective Judgment. CoRR abs/2406.11280 (2024) - [i42]Seungbeen Lee, Seungwon Lim, Seungju Han, Giyeong Oh, Hyungjoo Chae, Jiwan Chung, Minju Kim, Beong-woo Kwak, Yeonsoo Lee, Dongha Lee, Jinyoung Yeo, Youngjae Yu:
Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics. CoRR abs/2406.14703 (2024) - [i41]Youngmin Kim, Saejin Kim, Hoyeon Moon, Youngjae Yu, Junhyug Noh:
Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation. CoRR abs/2406.17254 (2024) - [i40]Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu:
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. CoRR abs/2406.18925 (2024) - [i39]Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel:
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. CoRR abs/2407.00369 (2024) - [i38]Suyeon Lee, Sunghwan Kim, Minju Kim, Dongjin Kang, Dongil Yang, Harim Kim, Minseok Kang, Dayi Jung, Min Hee Kim, Seungbeen Lee, Kyoung-Mee Chung, Youngjae Yu, Dongha Lee, Jinyoung Yeo:
Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory. CoRR abs/2407.03103 (2024) - [i37]Kangyeol Kim, Wooseok Seo, Sehyun Nam, Bodam Kim, Suhyeon Jeong, Wonwoo Cho, Jaegul Choo, Youngjae Yu:
Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation. CoRR abs/2407.09779 (2024) - [i36]Hyolim Kang, Jeongseok Hyun, Joungbin An, Youngjae Yu, Seon Joo Kim:
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos. CoRR abs/2407.12987 (2024) - [i35]Jisoo Kim, Jungbin Cho, Joonho Park, Soonmin Hwang, Da Eun Kim, Geon Kim, Youngjae Yu:
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation. CoRR abs/2408.06010 (2024) - [i34]Jiwan Chung, Seungwon Lim, Jaehyun Jeon, Seungbeen Lee, Youngjae Yu:
Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you! CoRR abs/2410.01023 (2024) - [i33]Suhwan Choi, Yongjun Cho, Minchan Kim, Jaeyoon Jung, Myunchul Joe, Yubeen Park, Minseo Kim, Sungwoong Kim, Sungjae Lee, Hwiseong Park, Jiwan Chung, Youngjae Yu:
CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction. CoRR abs/2410.01273 (2024) - 2023
- [c30]Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi:
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. ACL (1) 2023: 2665-2679 - [c29]Jiwan Chung, Youngjae Yu:
Long Story Short: a Summarize-then-Search Method for Prompt-Based Long Video Question Answering. BMVC 2023: 161-166 - [c28]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 - [c27]Jiwan Chung, Youngjae Yu:
VLIS: Unimodal Language Models Guide Multimodal Language Generation. EMNLP 2023: 700-721 - [c26]Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu:
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. EMNLP 2023: 894-914 - [c25]Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo:
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. EMNLP 2023: 5606-5632 - [c24]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 - [c23]Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu:
Champagne: Learning Real-world Conversation from Large-Scale Web Videos. ICCV 2023: 15452-15463 - [c22]Jeongeun Park, Taerim Yoon, Jejoon Hong, Youngjae Yu, Matthew Pan, Sungjoon Choi:
Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants. ICRA 2023: 2004-2010 - [c21]Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi:
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. NeurIPS 2023 - [c20]Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi:
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. NeurIPS 2023 - [i32]Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu:
CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos. CoRR abs/2303.09713 (2023) - [i31]Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi:
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text. CoRR abs/2304.06939 (2023) - [i30]Jeongeun Park, Seungwon Lim, Joonhyung Lee, Sangbeom Park, Minsuk Chang, Youngjae Yu, Sungjoon Choi:
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents. CoRR abs/2306.10376 (2023) - [i29]Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi:
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. CoRR abs/2306.14050 (2023) - [i28]Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo:
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. CoRR abs/2310.09343 (2023) - [i27]Jiwan Chung, Youngjae Yu:
VLIS: Unimodal Language Models Guide Multimodal Language Generation. CoRR abs/2310.09767 (2023) - [i26]Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu:
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. CoRR abs/2310.10418 (2023) - [i25]Jiwan Chung, Youngjae Yu:
Long Story Short: a Summarize-then-Search Method for Long Video Question Answering. CoRR abs/2311.01233 (2023) - [i24]Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi:
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR abs/2312.04837 (2023) - [i23]Lee Hyun, Kim Sung-Bin, Seungju Han, Youngjae Yu, Tae-Hyun Oh:
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. CoRR abs/2312.09818 (2023) - 2022
- [c19]Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi:
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR 2022: 16354-16366 - [c18]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 - [c17]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT 2022: 780-799 - [c16]Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi:
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. NAACL-HLT 2022: 4492-4507 - [i22]Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi:
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR abs/2201.02639 (2022) - [i21]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) - [i20]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) - [i19]Jeongeun Park, Taerim Yoon, Jejoon Hong, Youngjae Yu, Matthew Pan, Sungjoon Choi:
Active Visual Search in the Wild. CoRR abs/2209.08803 (2022) - [i18]Jihoon Kim, Youngjae Yu, Seungyoun Shin, Taehyun Byun, Sungjoon Choi:
Learning Joint Representation of Human Motion and Language. CoRR abs/2210.15187 (2022) - [i17]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
- [c15]Jongseok Kim, Youngjae Yu, Hoeseong Kim, Gunhee Kim:
Dual Compositional Learning in Interactive Image Retrieval. AAAI 2021: 1771-1779 - [c14]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jongseok Kim, Gunhee Kim:
Transitional Adaptation of Pretrained Models for Visual Storytelling. CVPR 2021: 12658-12668 - [c13]Heeseung Yun, Youngjae Yu, Wonsuk Yang, Kangil Lee, Gunhee Kim:
Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos. ICCV 2021: 2011-2021 - [c12]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 - [c11]Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song:
Parameter Efficient Multimodal Transformers for Video Representation Learning. ICLR 2021 - [c10]Youngjae Yu, Sangho Lee, Gunhee Kim, Yale Song:
Self-Supervised Learning of Compressed Video Representations. ICLR 2021 - [c9]Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi:
MERLOT: Multimodal Neural Script Knowledge Models. NeurIPS 2021: 23634-23651 - [i16]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) - [i15]Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi:
MERLOT: Multimodal Neural Script Knowledge Models. CoRR abs/2106.02636 (2021) - [i14]Jongseok Kim, Youngjae Yu, Seunghwan Lee, Gunhee Kim:
Cycled Compositional Learning between Images and Text. CoRR abs/2107.11509 (2021) - [i13]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) - [i12]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR abs/2112.08726 (2021) - [i11]Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi:
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. CoRR abs/2112.08995 (2021) - 2020
- [c8]Hankyol Lee, Youngjae Yu, Gunhee Kim:
Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context. Fig-Lang@ACL 2020: 12-17 - [c7]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 - [i10]Youngjae Yu, Seunghwan Lee, Yuncheol Choi, Gunhee Kim:
CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data. CoRR abs/2003.12299 (2020) - [i9]Hankyol Lee, Youngjae Yu, Gunhee Kim:
Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context. CoRR abs/2006.06259 (2020) - [i8]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
- [j2]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) - 2018
- [c6]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 - [c5]Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim:
A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos. CVPR 2018: 1410-1419 - [c4]Youngjae Yu, Jongseok Kim, Gunhee Kim:
A Joint Sequence Fusion Model for Video Question Answering and Retrieval. ECCV (7) 2018: 487-503 - [i7]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) - [i6]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) - [i5]Youngjae Yu, Jongseok Kim, Gunhee Kim:
A Joint Sequence Fusion Model for Video Question Answering and Retrieval. CoRR abs/1808.02559 (2018) - 2017
- [j1]Inuk Jung, Kyuri Jo, Hyejin Kang, Hongryul Ahn, Youngjae Yu, Sun Kim:
TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes. Bioinform. 33(23): 3827-3835 (2017) - [c3]Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim:
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering. CVPR 2017: 1359-1367 - [c2]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 - [c1]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 - [i4]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) - [i3]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) - [i2]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) - 2016
- [i1]Youngjae Yu, Hyungjin Ko, Jongwook Choi, Gunhee Kim:
Video Captioning and Retrieval Models with Semantic Attention. CoRR abs/1610.02947 (2016)
Coauthor Index
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