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Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction


May 24, 2023
Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, Kuk-Jin Yoon

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* ICLR 2023 

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Trajectory Flow Map: Graph-based Approach to Analysing Temporal Evolution of Aggregated Traffic Flows in Large-scale Urban Networks


Dec 06, 2022
Jiwon Kim, Kai Zheng, Jonathan Corcoran, Sanghyung Ahn, Marty Papamanolis

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* 20 pages, 5 figures; Presented at the 96th Annual Meeting of the Transportation Research Board, January 2017 

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A deep learning framework to generate realistic population and mobility data


Nov 14, 2022
Eren Arkangil, Mehmet Yildirimoglu, Jiwon Kim, Carlo Prato

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ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization


Aug 18, 2022
Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim

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* Accepted at ECCV 2022 

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Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches


Jun 26, 2022
Miner Zhong, Jiwon Kim, Zuduo Zheng

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* 37 pages, 10 figures 

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Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence


Apr 19, 2022
Jiwon Kim, Youngjo Min, Mira Kim, Seungryong Kim

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* IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022 

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Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels


Apr 05, 2022
Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim

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* The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022 

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AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning


Jan 25, 2022
Jiwon Kim, Kwangrok Ryoo, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, Seungryong Kim

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A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts


Aug 26, 2021
Yoon Kyung Lee, Inju Lee, Jae Eun Park, Yoonwon Jung, Jiwon Kim, Sowon Hahn

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