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pro vyhledávání: '"Yang, Wooseong"'
Session-based recommendation (SBR) aims to capture dynamic user preferences by analyzing item sequences within individual sessions. However, most existing approaches focus mainly on intra-session item relationships, neglecting the connections between
Externí odkaz:
http://arxiv.org/abs/2410.04756
Robust and accurate localization in challenging environments is becoming crucial for SLAM. In this paper, we propose a unique sensor configuration for precise and robust odometry by integrating chip radar and a legged robot. Specifically, we introduc
Externí odkaz:
http://arxiv.org/abs/2407.05820
In the evolving landscape of machine learning, the adaptation of pre-trained models through prompt tuning has become increasingly prominent. This trend is particularly observable in the graph domain, where diverse pre-training strategies present uniq
Externí odkaz:
http://arxiv.org/abs/2402.10380
Odometry is crucial for robot navigation, particularly in situations where global positioning methods like global positioning system (GPS) are unavailable. The main goal of odometry is to predict the robot's motion and accurately determine its curren
Externí odkaz:
http://arxiv.org/abs/2312.17487
Place recognition is crucial for robot localization and loop closure in simultaneous localization and mapping (SLAM). Light Detection and Ranging (LiDAR), known for its robust sensing capabilities and measurement consistency even in varying illuminat
Externí odkaz:
http://arxiv.org/abs/2309.14590
Autor:
Kim, Jeongyun, Jeon, Myung-Hwan, Jung, Sangwoo, Yang, Wooseong, Jung, Minwoo, Shin, Jaeho, Kim, Ayoung
Transparent objects are encountered frequently in our daily lives, yet recognizing them poses challenges for conventional vision sensors due to their unique material properties, not being well perceived from RGB or depth cameras. Overcoming this limi
Externí odkaz:
http://arxiv.org/abs/2307.05016
Autor:
Jung, Minwoo1 (AUTHOR), Yang, Wooseong1 (AUTHOR), Lee, Dongjae1 (AUTHOR), Gil, Hyeonjae1 (AUTHOR), Kim, Giseop2 (AUTHOR), Kim, Ayoung1 (AUTHOR) ayoungk@snu.ac.kr
Publikováno v:
International Journal of Robotics Research. Oct2024, Vol. 43 Issue 12, p1867-1883. 17p.
Akademický článek
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Autor:
Kim, Jeongyun, Jeon, Myung-Hwan, Jung, Sangwoo, Yang, Wooseong, Jung, Minwoo, Shin, Jaeho, Kim, Ayoung
Publikováno v:
International Journal of Robotics Research; May2024, Vol. 43 Issue 6, p731-738, 8p