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2020 – today
- 2022
[j64]Taewoong Kang, Dongwoon Song, Jae-Bong Yi, Joonyoung Kim, Chung-Yeon Lee, Youngjae Yoo, Minji Kim, Hyun-Jun Jo, Byoung-Tak Zhang, Jae-Bok Song, Seung-Joon Yi:
Team Tidyboy at the WRS 2020: a modular software framework for home service robots. Adv. Robotics 36(17-18): 836-849 (2022)- [j63]Hyungpil Moon, Byoung-Tak Zhang, Changjoo Nam:
Editorial: Task planning and motion control problems of service robots in human-centered environments. Intell. Serv. Robotics 15(4): 439-440 (2022) - [c187]Yu-Jung Heo, Eun-Sol Kim, Woo Suk Choi, Byoung-Tak Zhang:
Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering. ACL (1) 2022: 373-390 - [c186]Sangjun Lee, Inwoo Hwang, Gi-Cheon Kang, Byoung-Tak Zhang:
Improving Robustness to Texture Bias via Shape-focused Augmentation. CVPR Workshops 2022: 4322-4330 - [c185]Jiseob Kim, Jihoon Lee, Byoung-Tak Zhang:
Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness. CVPR 2022: 10769-10778 - [c184]Ganghun Lee, Minji Kim, Min Su Lee, Byoung-Tak Zhang:
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. ICRA 2022: 5553-5559 - [c183]Chung-Yeon Lee, Youngjae Yoo, Byoung-Tak Zhang:
PlaceNet: Neural Spatial Representation Learning with Multimodal Attention. IJCAI 2022: 1031-1038 - [i53]Junseok Park, Kwanyoung Park, Hyunseok Oh, Ganghun Lee, Min Su Lee, Youngki Lee, Byoung-Tak Zhang:
Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. CoRR abs/2201.04990 (2022) - [i52]Yu-Jung Heo, Eun-Sol Kim, Woo Suk Choi, Byoung-Tak Zhang:
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering. CoRR abs/2204.10448 (2022) - [i51]Gi-Cheon Kang, Sungdong Kim, Jin-Hwa Kim, Dong-Hyun Kwak, Byoung-Tak Zhang:
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. CoRR abs/2205.12502 (2022) - [i50]Taehyeong Kim, Hyeonseop Song, Byoung-Tak Zhang:
Cross-Modal Alignment Learning of Vision-Language Conceptual Systems. CoRR abs/2208.01744 (2022) - [i49]Junseok Park, Inwoo Hwang, Min Whoo Lee, Hyunseok Oh, Min Su Lee, Youngki Lee, Byoung-Tak Zhang:
On the Importance of Critical Period in Multi-stage Reinforcement Learning. CoRR abs/2208.04832 (2022) - [i48]Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang:
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. CoRR abs/2208.04833 (2022) - [i47]Seonil Son, Jaeseo Lim, Youwon Jang, Jaeyoung Lee, Byoung-Tak Zhang:
Learning to Write with Coherence From Negative Examples. CoRR abs/2209.10922 (2022) - [i46]Woo Suk Choi, Yu-Jung Heo, Byoung-Tak Zhang:
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation. CoRR abs/2210.08675 (2022) - [i45]Dong-Sig Han, Hyunseo Kim, Hyundo Lee, Je-Hwan Ryu, Byoung-Tak Zhang:
Robust Imitation via Mirror Descent Inverse Reinforcement Learning. CoRR abs/2210.11201 (2022) - [i44]Minjoon Jung, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang:
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval. CoRR abs/2210.12617 (2022) - [i43]Won-Seok Choi, Dong-Sig Han, Hyundo Lee, Junseok Park, Byoung-Tak Zhang:
DUEL: Adaptive Duplicate Elimination on Working Memory for Self-Supervised Learning. CoRR abs/2210.17052 (2022) - [i42]Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang:
SelecMix: Debiased Learning by Contradicting-pair Sampling. CoRR abs/2211.02291 (2022) - 2021
- [j62]Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim
, Byoung-Tak Zhang:
M2FN: Multi-step modality fusion for advertisement image assessment. Appl. Soft Comput. 103: 107116 (2021) - [j61]Björn Bebensee, Nagmat Nazarov, Byoung-Tak Zhang:
Leveraging node neighborhoods and egograph topology for better bot detection in social graphs. Soc. Netw. Anal. Min. 11(1): 10 (2021) - [c182]Seong-Ho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Min Su Lee, Byoung-Tak Zhang:
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. AAAI 2021: 1166-1174 - [c181]Ahjeong Seo, Gi-Cheon Kang, Joonhan Park, Byoung-Tak Zhang:
Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering. ACL/IJCNLP (1) 2021: 6167-6177 - [c180]Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim:
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer. EMNLP (Findings) 2021: 327-339 - [c179]Hwiyeol Jo, Jaeseo Lim, Byoung-Tak Zhang:
Devil's Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification. EMNLP (Findings) 2021: 2168-2174 - [c178]Björn Bebensee, Byoung-Tak Zhang:
Co-Attentional Transformers for Story-Based Video Understanding. ICASSP 2021: 4005-4009 - [c177]Junseok Park, Kwanyoung Park, Hyunseok Oh, Ganghun Lee, Min Su Lee, Youngki Lee, Byoung-Tak Zhang:
Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. ICMI 2021: 212-220 - [c176]Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Joseph J. Lim, Byoung-Tak Zhang:
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. ICML 2021: 5519-5529 - [c175]Youngjae Yoo, Chung-Yeon Lee, Byoung-Tak Zhang:
Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots. ICRA 2021: 11443-11449 - [c174]Kibeom Kim, Min Whoo Lee, Yoonsung Kim, Je-Hwan Ryu, Min Su Lee, Byoung-Tak Zhang:
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning. NeurIPS 2021: 2783-2795 - [c173]Dongwoon Song, Taewoong Kang, Jae-Bong Yi, Joonyoung Kim, Taeyang Kim, Chung-Yeon Lee, Je-Hwan Ryu, Minji Kim, Hyun-Jun Jo, Byoung-Tak Zhang, Jae-Bok Song, Seung-Joon Yi:
RoboCup@Home 2021 Domestic Standard Platform League Winner. RoboCup 2021: 291-301 - [i41]Kwanyoung Park, Junseok Park, Hyunseok Oh, Byoung-Tak Zhang, Youngki Lee:
Learning task-agnostic representation via toddler-inspired learning. CoRR abs/2101.11221 (2021) - [i40]Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang:
M2FN: Multi-step Modality Fusion for Advertisement Image Assessment. CoRR abs/2102.00441 (2021) - [i39]Ahjeong Seo, Gi-Cheon Kang, Joonhan Park, Byoung-Tak Zhang:
Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering. CoRR abs/2106.10446 (2021) - [i38]Minjung Shin, Jeonghoon Kim, Seong-Ho Choi, Yu-Jung Heo, Donghyun Kim, Min Su Lee, Byoung-Tak Zhang, Jeh-Kwang Ryu:
CogME: A Novel Evaluation Metric for Video Understanding Intelligence. CoRR abs/2107.09847 (2021) - [i37]Donggeon Lee, Seongho Choi, Youwon Jang, Byoung-Tak Zhang:
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering. CoRR abs/2108.05158 (2021) - [i36]Yu-Jung Heo, Min Su Lee, Seongho Choi, Woo Suk Choi, Minjung Shin, Minjoon Jung, Jeh-Kwang Ryu, Byoung-Tak Zhang:
Toward a Human-Level Video Understanding Intelligence. CoRR abs/2110.04203 (2021) - [i35]Kibeom Kim, Min Whoo Lee, Yoonsung Kim, Je-Hwan Ryu, Min Su Lee, Byoung-Tak Zhang:
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning. CoRR abs/2110.12985 (2021) - [i34]Jiseob Kim, Jihoon Lee, Byoung-Tak Zhang:
Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness. CoRR abs/2112.05907 (2021) - 2020
- [c172]Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. AAAI 2020: 5315-5322 - [c171]Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park:
Effect of Active Pre-Learning Activities on Humans and Machines. CogSci 2020 - [c170]Chris Hickey, Byoung-Tak Zhang:
Hierarchical Color Learning in Convolutional Neural Networks. CVPR Workshops 2020: 1559-1562 - [c169]Eun-Sol Kim, Woo-Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang:
Hypergraph Attention Networks for Multimodal Learning. CVPR 2020: 14569-14578 - [c168]Taehyeong Kim, Injune Hwang, Gi-Cheon Kang, Won-Seok Choi, Hyunseo Kim, Byoung-Tak Zhang:
Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning. ICASSP 2020: 4012-4016 - [c167]Chung-yeon Lee, Hyundo Lee, Injune Hwang, Byoung-Tak Zhang:
Visual Perception Framework for an Intelligent Mobile Robot. UR 2020: 612-616 - [i33]Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. CoRR abs/2001.07613 (2020) - [i32]Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim:
DialGraph: Sparse Graph Learning Networks for Visual Dialog. CoRR abs/2004.06698 (2020) - [i31]Taehyeong Kim, Injune Hwang, Gi-Cheon Kang, Won-Seok Choi, Hyunseo Kim, Byoung-Tak Zhang:
Label Propagation Adaptive Resonance Theory for Semi-supervised Continuous Learning. CoRR abs/2005.02137 (2020) - [i30]Seong-Ho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Seungchan Lee, Min Su Lee, Byoung-Tak Zhang:
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. CoRR abs/2005.03356 (2020) - [i29]Dharani Punithan, Byoung-Tak Zhang:
Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models. CoRR abs/2005.13780 (2020) - [i28]Björn Bebensee, Byoung-Tak Zhang:
Co-attentional Transformers for Story-Based Video Understanding. CoRR abs/2010.14104 (2020) - [i27]Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park:
Human-Like Active Learning: Machines Simulating the Human Learning Process. CoRR abs/2011.03733 (2020) - [i26]Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Byoung-Tak Zhang:
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. CoRR abs/2012.01227 (2020)
2010 – 2019
- 2019
- [j60]Soo-Jin Kim, Jung-Woo Ha, Heebal Kim, Byoung-Tak Zhang:
Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data. Appl. Soft Comput. 81 (2019) - [c166]Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh:
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication. ACL (1) 2019: 6495-6513 - [c165]Jorge Chang, Jiseob Kim, Byoung-Tak Zhang, Mark A. Pitt, Jay I. Myung:
Modeling Delay Discounting using Gaussian Process with Active Learning. CogSci 2019: 1479-1485 - [c164]Sungjae Cho, Jaeseo Lim, Chris Hickey, Byoung-Tak Zhang:
Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models. CogSci 2019: 1506-1512 - [c163]Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang:
Dual Attention Networks for Visual Reference Resolution in Visual Dialog. EMNLP/IJCNLP (1) 2019: 2024-2033 - [c162]Chung-yeon Lee, Hyundo Lee, Injune Hwang, Byoung-Tak Zhang:
Spatial Perception by Object-Aware Visual Scene Representation. ICCV Workshops 2019: 3751-3758 - [c161]Taehyeong Kim, Minji Kwak, Seung Hee Yang, Jaeseo Lim, Byoung-Tak Zhang:
WithDorm: Dormitory Solution for Linking Roommates. MobileHCI 2019: 38:1-38:6 - [i25]Jiseob Kim, Byoung-Tak Zhang:
Data Interpolations in Deep Generative Models under Non-Simply-Connected Manifold Topology. CoRR abs/1901.08553 (2019) - [i24]Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies. CoRR abs/1901.09066 (2019) - [i23]Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang:
Dual Attention Networks for Visual Reference Resolution in Visual Dialog. CoRR abs/1902.09368 (2019) - [i22]Yu-Jung Heo, Kyoung-Woon On, Seong-Ho Choi, Jaeseo Lim, Jinah Kim, Jeh-Kwang Ryu, Byung-Chull Bae, Byoung-Tak Zhang:
Constructing Hierarchical Q&A Datasets for Video Story Understanding. CoRR abs/1904.00623 (2019) - [i21]Sungjae Cho, Jaeseo Lim, Chris Hickey, Jung Ae Park, Byoung-Tak Zhang:
Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models. CoRR abs/1905.03617 (2019) - [i20]Jiseob Kim, Seungjae Jung, Hyundo Lee, Byoung-Tak Zhang:
Encoder-Powered Generative Adversarial Networks. CoRR abs/1906.00541 (2019) - [i19]Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Compositional Structure Learning for Sequential Video Data. CoRR abs/1907.01709 (2019) - [i18]Kyung-Wha Park, Junghoon Lee, Sunyoung Kwon, Jung-Woo Ha, Kyung-Min Kim, Byoung-Tak Zhang:
Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion. CoRR abs/1910.02358 (2019) - [i17]Hwiyeol Jo, Byoung-Tak Zhang:
Ruminating Word Representations with Random Noised Masker. CoRR abs/1911.03459 (2019) - 2018
- [j59]Je-Keun Rhee, Soo-Jin Kim, Byoung-Tak Zhang:
Identifying DNA Methylation Modules Associated with a Cancer by Probabilistic Evolutionary Learning. IEEE Comput. Intell. Mag. 13(3): 12-19 (2018) - [j58]Yung-Kyun Noh, Jihun Hamm, Frank Chongwoo Park, Byoung-Tak Zhang, Daniel D. Lee:
Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 92-105 (2018) - [j57]Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee:
Generative Local Metric Learning for Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 106-118 (2018) - [c160]Beom-Jin Lee, Jinyoung Choi, Chung-yeon Lee, Kyung-Wha Park, Sungjun Choi, Cheolho Han, Dong-Sig Han, Christina Baek, Patrick Mokodir Emaase, Byoung-Tak Zhang:
Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning. AAAI 2018: 8208-8209 - [c159]Dharani Punithan, Byoung-Tak Zhang:
Lifelong Learning with the Feedback-loop between Emotions and Actions via Internal Reward. BICA 2018: 423-427 - [c158]Eun-Sol Kim, Kyoung-Woon On, Jongseok Kim, Yu-Jung Heo, Seong-Ho Choi, Hyun-Dong Lee, Byoung-Tak Zhang:
Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification. ECCV Workshops (4) 2018: 306-316 - [c157]Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang:
Multimodal Dual Attention Memory for Video Story Question Answering. ECCV (15) 2018: 698-713 - [c156]Beom-Jin Lee, Jinyoung Choi, Christina Baek, Byoung-Tak Zhang:
Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots. ICRA 2018: 7189-7195 - [c155]Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang:
Bilinear Attention Networks. NeurIPS 2018: 1571-1581 - [c154]Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang:
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog. NeurIPS 2018: 2584-2594 - [i16]Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang:
Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue. CoRR abs/1802.03881 (2018) - [i15]Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang:
Bilinear Attention Networks. CoRR abs/1805.07932 (2018) - [i14]Taehyeong Kim, Min-Oh Heo, Seonil Son, Kyoung-Wha Park, Byoung-Tak Zhang:
GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation. CoRR abs/1805.10973 (2018) - [i13]Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang:
Multimodal Dual Attention Memory for Video Story Question Answering. CoRR abs/1809.07999 (2018) - 2017
- [j56]Ji-Hoon Lee, Seung Hwan Lee, Christina Baek, Hyo-Sun Chun, Je-Hwan Ryu, Jin-Woo Kim, Russell J. Deaton, Byoung-Tak Zhang:
In vitro molecular machine learning algorithm via symmetric internal loops of DNA. Biosyst. 158: 1-9 (2017) - [j55]Sang-Woo Lee, Chung-yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang:
Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors. Neural Networks 92: 17-28 (2017) - [c153]Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang:
Multi-Focus Attention Network for Efficient Deep Reinforcement Learning. AAAI Workshops 2017 - [c152]Dharani Punithan, Byoung-Tak Zhang:
Molecular Associative Memory with Spatial Auto-logistic Model for Pattern Recall. BICA 2017: 373-379 - [c151]Bosun Hwang, Jiwoo Ryu, Cheolsoo Park, Byoung-Tak Zhang:
A novel method to monitor human stress states using ultra-short-term ECG spectral feature. EMBC 2017: 2381-2384 - [c150]Ceyda Cinarel, Byoung-Tak Zhang:
Into the Colorful World of Webtoons: Through the Lens of Neural Networks. MANPU@ICDAR 2017: 35-40 - [c149]Woo-Young Kang, Kyung-Wha Park, Byoung-Tak Zhang:
Extremely Sparse Deep Learning Using Inception Modules with Dropfilters. ICDAR 2017: 448-453 - [c148]Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang:
Hadamard Product for Low-rank Bilinear Pooling. ICLR (Poster) 2017 - [c147]Cheolho Han, Sang-Woo Lee, Yu-Jung Heo, Woo-Young Kang, Jaehyun Jun, Byoung-Tak Zhang:
Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks. LaCATODA@IJCAI 2017: 28-33 - [c146]Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, Byoung-Tak Zhang:
DeepStory: Video Story QA by Deep Embedded Memory Networks. IJCAI 2017: 2016-2022 - [c145]Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, Byoung-Tak Zhang:
Overcoming Catastrophic Forgetting by Incremental Moment Matching. NIPS 2017: 4652-4662 - [i12]Sungtae Lee, Sang-Woo Lee, Jinyoung Choi, Dong-Hyun Kwak, Byoung-Tak Zhang:
Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals. CoRR abs/1703.03933 (2017) - [i11]Sang-Woo Lee, Jin-Hwa Kim, JungWoo Ha, Byoung-Tak Zhang:
Overcoming Catastrophic Forgetting by Incremental Moment Matching. CoRR abs/1703.08475 (2017) - [i10]Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, Byoung-Tak Zhang:
DeepStory: Video Story QA by Deep Embedded Memory Networks. CoRR abs/1707.00836 (2017) - [i9]Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang:
Multi-focus Attention Network for Efficient Deep Reinforcement Learning. CoRR abs/1712.04603 (2017) - [i8]Jin-Hwa Kim, Devi Parikh, Dhruv Batra, Byoung-Tak Zhang, Yuandong Tian:
CoDraw: Visual Dialog for Collaborative Drawing. CoRR abs/1712.05558 (2017) - [i7]Jin-Hwa Kim, Byoung-Tak Zhang:
Visual Explanations from Hadamard Product in Multimodal Deep Networks. CoRR abs/1712.06228 (2017) - 2016
- [j54]Byoung-Tak Zhang:
Humans and Machines in the Evolution of AI in Korea. AI Mag. 37(2): 108-112 (2016) - [j53]Jinho Kim, James T. Kwok, Kazutoshi Sumiya, Byoung-Tak Zhang:
Special issue: First International Conference on Big Data and Smart Computing (BigComp2014). Data Knowl. Eng. 104: 15-16 (2016) - [j52]Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee:
Whole-Body Balancing Walk Controller for Position Controlled Humanoid Robots. Int. J. Humanoid Robotics 13(1): 1650011:1-1650011:28 (2016) - [c144]Eun-Sol Kim, Kyoung-Woon On, Byoung-Tak Zhang:
DeepSchema: Automatic Schema Acquisition from Wearable Sensor Data in Restaurant Situations. IJCAI 2016: 834-840 - [c143]Sang-Woo Lee, Chung-yeon Lee, Dong-Hyun Kwak, Jiwon Kim, Jeonghee Kim, Byoung-Tak Zhang:
Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors. IJCAI 2016: 1669-1675 - [c142]Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang:
Multimodal Residual Learning for Visual QA. NIPS 2016: 361-369 - [i6]Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang:
Multimodal Residual Learning for Visual QA. CoRR abs/1606.01455 (2016) - [i5]Hanock Kwak, Byoung-Tak Zhang:
Generating Images Part by Part with Composite Generative Adversarial Networks. CoRR abs/1607.05387 (2016) - [i4]Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang:
Human Body Orientation Estimation using Convolutional Neural Network. CoRR abs/1609.01984 (2016) - [i3]Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang:
Hadamard Product for Low-rank Bilinear Pooling. CoRR abs/1610.04325 (2016) - [i2]Hanock Kwak, Byoung-Tak Zhang:
Ways of Conditioning Generative Adversarial Networks. CoRR abs/1611.01455 (2016) - 2015
- [j51]Yung-Kyun Noh, Daniel D. Lee, Kyung-Ae Yang, Cheongtag Kim, Byoung-Tak Zhang:
Molecular learning with DNA kernel machines. Biosyst. 137: 73-83 (2015) - [j50]Seung-Joon Yi, Stephen G. McGill, Larry Vadakedathu, Qin He, Inyong Ha, Jeakweon Han, Hyunjong Song, Michael Rouleau, Byoung-Tak Zhang, Dennis W. Hong, Mark Yim, Daniel D. Lee:
Team THOR's Entry in the DARPA Robotics Challenge Trials 2013. J. Field Robotics 32(3): 315-335 (2015) - [j49]Jin-Woo Jung, Hiroshi Wakuya, Byoung-Tak Zhang:
Preface. Soft Comput. 19(4): 813-814 (2015) - [j48]Tae-Suh Park, Byoung-Tak Zhang:
Consensus Analysis and Modeling of Visual Aesthetic Perception. IEEE Trans. Affect. Comput. 6(3): 272-285 (2015) - [c141]JungWoo Ha, Kyung-Min Kim, Byoung-Tak Zhang:
Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos. AAAI 2015: 522-528 - [c140]Kyung-Min Kim, Chang-Jun Nan, Jung-Woo Ha, Yu-Jung Heo, Byoung-Tak Zhang:
Pororobot: A Deep Learning Robot That Plays Video Q&A Games. AAAI Fall Symposia 2015: 89-93 - [c139]