Search Results for author: Jeongyun Kim

Found 4 papers, 1 papers with code

Thermal Chameleon: Task-Adaptive Tone-mapping for Radiometric Thermal-Infrared images

1 code implementation24 Oct 2024 Dong-Guw Lee, Jeongyun Kim, Younggun Cho, Ayoung Kim

Thermal Infrared (TIR) imaging provides robust perception for navigating in challenging outdoor environments but faces issues with poor texture and low image contrast due to its 14/16-bit format.

Monocular Depth Estimation object-detection +2

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy

no code implementations27 Nov 2023 Jung-Hoon Cho, Sirui Li, Jeongyun Kim, Cathy Wu

We introduce Temporal Transfer Learning (TTL) algorithms to select source tasks for zero-shot transfer, systematically leveraging the temporal structure to solve the full range of tasks.

Deep Reinforcement Learning Reinforcement Learning (RL) +1

TRansPose: Large-Scale Multispectral Dataset for Transparent Object

no code implementations11 Jul 2023 Jeongyun Kim, Myung-Hwan Jeon, Sangwoo Jung, Wooseong Yang, Minwoo Jung, Jaeho Shin, Ayoung Kim

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.

Object Transparent objects

Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation

no code implementations2 Nov 2022 Myung-Hwan Jeon, Jeongyun Kim, Jee-Hwan Ryu, Ayoung Kim

Tackling these limitations, we present an ambiguity-aware 6D object pose estimation network, PrimA6D++, as a generic uncertainty prediction method.

6D Pose Estimation using RGB Object +3

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