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2020 – today
- 2024
[j66]Kibeom Kim
, Moonhoen Lee, Min Whoo Lee, Kisung Shin, Minsu Lee, Byoung-Tak Zhang:
Visual Hindsight Self-Imitation Learning for Interactive Navigation. IEEE Access 12: 83796-83809 (2024)- [c204]Junseok Park, Yoonsung Kim, Hee bin Yoo, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang:
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. AAAI 2024: 592-600 - [c203]Won-Seok Choi, Hyundo Lee, Dong-Sig Han, Junseok Park, Heeyeon Koo, Byoung-Tak Zhang:
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning. AAAI 2024: 11579-11587 - [c202]Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee:
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning. ICML 2024 - [c201]Seunghyeon Lim, Youngjae Yoo, Jun Ki Lee, Byoung-Tak Zhang:
Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter. ICRA 2024: 3079-3085 - [c200]Gi-Cheon Kang, Junghyun Kim, Jaein Kim, Byoung-Tak Zhang:
PROGrasp: Pragmatic Human-Robot Communication for Object Grasping. ICRA 2024: 3304-3310 - [c199]Sujin Jeon, Suyeon Shin, Byoung-Tak Zhang:
HAPFI: History-Aware Planning based on Fused Information. ICRA 2024: 17072-17078 - [i75]Won-Seok Choi, Hyundo Lee, Dong-Sig Han, Junseok Park, Heeyeon Koo, Byoung-Tak Zhang:
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning. CoRR abs/2402.08963 (2024) - [i74]Youngjae Yoo, Chung-Yeon Lee, Byoung-Tak Zhang:
Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots. CoRR abs/2403.03563 (2024) - [i73]Junseok Park, Yoonsung Kim, Hee bin Yoo, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang:
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. CoRR abs/2403.06880 (2024) - [i72]Seunghyeon Lim, Youngjae Yoo, Jun Ki Lee, Byoung-Tak Zhang:
Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter. CoRR abs/2403.12449 (2024) - [i71]Seongjun Jeong, Gi-Cheon Kang, Seongho Choi, Joochan Kim, Byoung-Tak Zhang:
Continual Vision-and-Language Navigation. CoRR abs/2403.15049 (2024) - [i70]Suyeon Shin, Sujin Jeon, Junghyun Kim, Gi-Cheon Kang, Byoung-Tak Zhang:
Socratic Planner: Inquiry-Based Zero-Shot Planning for Embodied Instruction Following. CoRR abs/2404.15190 (2024) - [i69]Yeon-Ji Song, Suhyung Choi, Jaein Kim, Jin-Hwa Kim, Byoung-Tak Zhang:
Unsupervised Dynamics Prediction with Object-Centric Kinematics. CoRR abs/2404.18423 (2024) - [i68]Hyunseo Kim, Hyeonseo Yang, Taekyung Kim, Yoonsung Kim, Jin-Hwa Kim, Byoung-Tak Zhang:
ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty. CoRR abs/2405.02568 (2024) - [i67]Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee:
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition. CoRR abs/2405.07220 (2024) - [i66]Yunhyeok Kwak, Inwoo Hwang, Dooyoung Kim, Sanghack Lee, Byoung-Tak Zhang:
Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction. CoRR abs/2406.00614 (2024) - [i65]Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee:
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning. CoRR abs/2406.03234 (2024) - [i64]Sujin Jeon, Suyeon Shin, Byoung-Tak Zhang:
HAPFI: History-Aware Planning based on Fused Information. CoRR abs/2407.16533 (2024) - [i63]Seongjun Jeong, Gi-Cheon Kang, Joochan Kim, Byoung-Tak Zhang:
Zero-Shot Vision-and-Language Navigation with Collision Mitigation in Continuous Environment. CoRR abs/2410.17267 (2024) - 2023
- [j65]Min Su Lee, Yu-Jung Heo, Seongho Choi, Woo Suk Choi, Byoung-Tak Zhang:
Video Turing Test: A first step towards human-level AI. AI Mag. 44(4): 537-554 (2023) - [c198]Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee:
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition. CLeaR 2023: 448-472 - [c197]Gi-Cheon Kang, Sungdong Kim, Jin-Hwa Kim, Donghyun Kwak, Byoung-Tak Zhang:
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. CVPR 2023: 6746-6756 - [c196]Hyundo Lee, Inwoo Hwang, Hyunsung Go, Won-Seok Choi, Kibeom Kim, Byoung-Tak Zhang:
Learning Geometry-aware Representations by Sketching. CVPR 2023: 23315-23326 - [c195]Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang:
Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. ICCV 2023: 2394-2405 - [c194]Hyunseo Kim, Hye Jung Yoon, Minji Kim, Dong-Sig Han, Byoung-Tak Zhang:
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object. ICRA 2023: 813-819 - [c193]Jaein Kim, Dong-Sig Han, Byoung-Tak Zhang:
Robust Map Fusion with Visual Attention Utilizing Multi-agent Rendezvous. ICRA 2023: 2062-2068 - [c192]Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Suyeon Shin, Byoung-Tak Zhang:
GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation. IROS 2023: 952-959 - [i62]Hyundo Lee, Inwoo Hwang, Hyunsung Go, Won-Seok Choi, Kibeom Kim, Byoung-Tak Zhang:
Learning Geometry-aware Representations by Sketching. CoRR abs/2304.08204 (2023) - [i61]Kibeom Kim, Hyundo Lee, Min Whoo Lee, Moonheon Lee, Minsu Lee, Byoung-Tak Zhang:
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning. CoRR abs/2305.13741 (2023) - [i60]Minjoon Jung, Youwon Jang, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang:
Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval. CoRR abs/2306.02728 (2023) - [i59]Hyunseo Kim, Hye Jung Yoon, Minji Kim, Dong-Sig Han, Byoung-Tak Zhang:
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object. CoRR abs/2306.05262 (2023) - [i58]Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Suyeon Shin, Byoung-Tak Zhang:
GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation. CoRR abs/2307.05963 (2023) - [i57]Gi-Cheon Kang, Junghyun Kim, Jaein Kim, Byoung-Tak Zhang:
PROGrasp: Pragmatic Human-Robot Communication for Object Grasping. CoRR abs/2309.07759 (2023) - [i56]Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Seoyun Yang, Minjoon Jung, Byoung-Tak Zhang:
PGA: Personalizing Grasping Agents with Single Human-Robot Interaction. CoRR abs/2310.12547 (2023) - [i55]Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang:
Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. CoRR abs/2311.02202 (2023) - [i54]Kibeom Kim, Kisung Shin, Min Whoo Lee, Moonhoen Lee, Minsu Lee, Byoung-Tak Zhang:
Visual Hindsight Self-Imitation Learning for Interactive Navigation. CoRR abs/2312.03446 (2023) - 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) - [c191]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 - [c190]Sangjun Lee, Inwoo Hwang, Gi-Cheon Kang, Byoung-Tak Zhang:
Improving Robustness to Texture Bias via Shape-focused Augmentation. CVPR Workshops 2022: 4322-4330 - [c189]Jiseob Kim, Jihoon Lee, Byoung-Tak Zhang:
Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness. CVPR 2022: 10769-10778 - [c188]Minjoon Jung, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang:
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval. EMNLP 2022: 7769-7781 - [c187]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 - [c186]Chung-Yeon Lee, Youngjae Yoo, Byoung-Tak Zhang:
PlaceNet: Neural Spatial Representation Learning with Multimodal Attention. IJCAI 2022: 1031-1038 - [c185]Dong-Sig Han, Hyunseo Kim, Hyundo Lee, Je-Hwan Ryu, Byoung-Tak Zhang:
Robust Imitation via Mirror Descent Inverse Reinforcement Learning. NeurIPS 2022 - [c184]Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang:
SelecMix: Debiased Learning by Contradicting-pair Sampling. NeurIPS 2022 - [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) - [c183]Seongho 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 - [c182]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 - [c181]Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park:
Passive Versus Active: Frameworks of Active Learning for Linking Humans to Machines. CogSci 2021 - [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, Seongho 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]Seongho 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, Seongho 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]