Hole filled 3D map using mobile robots in the urban environment. - Sang Un Park; Inwook Shim; Myung Jin Chung (URAI, 2011)

3D mapping in urban environment using geometric featured voxel. - Inwook Shim; Yungeun Choe; Myung Jin Chung (URAI, 2011)

Autonomous homing based on laser-camera fusion system. - Dong-Geol Choi; Inwook Shim; Yunsu Bok; Tae Hyun Oh; In-So Kweon (IROS, 2012)

Urban structure classification using the 3D normal distribution transform for practical robot applications. - Yungeun Choe; Inwook Shim; Myung Jin Chung (Adv. Robotics, 2013)

Auto-adjusting camera exposure for outdoor robotics using gradient information. - Inwook Shim; Joon-Young Lee; In-So Kweon (IROS, 2014)

Robotic software system for the disaster circumstances: System of team KAIST in the DARPA Robotics Challenge Finals. - Jeongsoo Lim; Inwook Shim; Okkee Sim; Hyun-Min Joe; Inhyeok Kim; Jungho Lee; Jun-Ho Oh (Humanoids, 2015)

Combinatorial approach for lane detection using image and LIDAR reflectance. - Seunghak Shin; Inwook Shim; In So Kweon (URAI, 2015)

An Autonomous Driving System for Unknown Environments Using a Unified Map. - Inwook Shim; Jongwon Choi; Seunghak Shin; Tae Hyun Oh; Unghui Lee; Byungtae Ahn; Dong-Geol Choi; David Hyunchul Shim; In-So Kweon (IEEE Trans. Intell. Transp. Syst., 2015)

Vision system and depth processing for DRC-HUBO+. - Inwook Shim; Seunghak Shin; Yunsu Bok; Kyungdon Joo; Dong-Geol Choi; Joon-Young Lee; Jaesik Park; Jun-Ho Oh; In-So Kweon (ICRA, 2016)

Object proposal using 3D point cloud for DRC-HUBO+. - Seunghak Shin; Inwook Shim; Jiyung Jung; Yunsu Bok; Jun-Ho Oh; In So Kweon (IROS, 2016)

Robot System of DRC-HUBO+ and Control Strategy of Team KAIST in DARPA Robotics Challenge Finals. - Jeongsoo Lim; In-Ho Lee; Inwook Shim; Hyobin Jung; Hyun-Min Joe; Hyoin Bae; Okkee Sim; Jaesung Oh; Taejin Jung; Seunghak Shin; Kyungdon Joo; Mingeuk Kim; et al. (J. Field Robotics, 2017)

Structure-From-Motion in 3D Space Using 2D Lidars. - Dong-Geol Choi; Yunsu Bok; Jun-Sik Kim 001; Inwook Shim; In So Kweon (Sensors, 2017)

Geometry Guided Three-Dimensional Propagation for Depth From Small Motion. - Seunghak Shin; Sunghoon Im; Inwook Shim; Hae-Gon Jeon; In So Kweon (IEEE Signal Process. Lett., 2017)

High-Fidelity Depth Upsampling Using the Self-Learning Framework. - Inwook Shim; Tae-Hyun Oh; In So Kweon (Sensors, 2019)

Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms. - Inwook Shim; Tae-Hyun Oh; Joon-Young Lee; Jinwook Choi; Dong-Geol Choi; In So Kweon (IEEE Trans. Circuits Syst. Video Technol., 2019)

Improving Gradient Flow with Unrolled Highway Expectation Maximization. - Chonghyuk Song; Eunseok Kim; Inwook Shim (AAAI, 2021)

Distinctiveness oriented Positional Equilibrium for Point Cloud Registration. - Taewon Min; Chonghyuk Song; Eunseok Kim; Inwook Shim (ICCV, 2021)

Curriculum Learning for Vehicle Lateral Stability Estimations. - Jihwan Bae; Taekyung Kim 003; Wonsuk Lee; Inwook Shim (IEEE Access, 2021)

Geometry Guided Network for Point Cloud Registration. - Taewon Min; Eunseok Kim; Inwook Shim (IEEE Robotics Autom. Lett., 2021)

SLiDE: Self-supervised LiDAR De-snowing Through Reconstruction Difficulty. - Gwangtak Bae; Byungjun Kim; Seongyong Ahn; Jihong Min; Inwook Shim (ECCV (39), 2022)

Parallel Recurrent Module With Inter-Layer Attention for Capturing Long-Range Feature Relationships. - Eunseok Kim; Jihwan Bae; Inwook Shim (IEEE Access, 2022)

Uncertainty Reduction for 3D Point Cloud Self-Supervised Traversability Estimation. - Jihwan Bae; Junwon Seo; Taekyung Kim 003; Hae-Gon Jeon; Kiho Kwak; Inwook Shim (CoRR, 2022)

Self-Supervised 3D Traversability Estimation With Proxy Bank Guidance. - Jihwan Bae; Junwon Seo; Taekyung Kim 003; Hae-Gon Jeon; Kiho Kwak; Inwook Shim (IEEE Access, 2023)

ScaTE: A Scalable Framework for Self- Supervised Traversability Estimation in Unstructured Environments. - Junwon Seo; Taekyung Kim 003; Kiho Kwak; Jihong Min; Inwook Shim (IEEE Robotics Autom. Lett., 2023)

Learning Off-Road Terrain Traversability With Self-Supervisions Only. - Junwon Seo; Sungdae Sim; Inwook Shim (IEEE Robotics Autom. Lett., 2023)

EasyFuse: Easy-to-learn visible and infrared image fusion framework based on unpaired set. - Seongyong Ahn; Inwook Shim; Jihong Min; Kuk-Jin Yoon (Pattern Recognit. Lett., 2023)

Close Imitation of Expert Retouching for Black-and-White Photography. - Seunghyun Shin; Jihwan Bae; Jisu Shin 002; Inwook Shim; Hae-Gon Jeon (CVPR, 2024)

Addressing Relative Pose Impact on UWB Localization: Dataset Introduction and Analysis. - Jun Hyeok Choe; Inwook Shim (CoRR, 2024)

SceneAware: Scene-Constrained Pedestrian Trajectory Prediction with LLM-Guided Walkability. - Juho Bai; Inwook Shim (CoRR, 2025)