| Individualness and determinantal point processes for pedestrian detection D Lee, G Cha, MH Yang, S Oh Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 46 | 2016 |
| Interactive Text2Pickup Networks for Natural Language-Based Human–Robot Collaboration H Ahn, S Choi, N Kim, G Cha, S Oh IEEE Robotics and Automation Letters 3 (4), 3308-3315, 2018 | 35 | 2018 |
| Multi-modal human action recognition using deep neural networks fusing image and inertial sensor data I Hwang, G Cha, S Oh 2017 IEEE International Conference on Multisensor Fusion and Integration for …, 2017 | 28 | 2017 |
| Unsupervised 3D Reconstruction Networks G Cha, M Lee, S Oh Proceedings of the IEEE International Conference on Computer Vision, 3849-3858, 2019 | 15 | 2019 |
| Deep pose consensus networks G Cha, M Lee, J Cho, S Oh Computer Vision and Image Understanding, 2019 | 8 | 2019 |
| Deep Ego-Motion Classifiers for Compound Eye Cameras H Yoo, G Cha, S Oh Sensors 19 (23), 5275, 2019 | 7 | 2019 |
| Self-Supervised Monocular Depth Estimation With Isometric-Self-Sample-Based Learning G Cha, HD Jang, D Wee IEEE Robotics and Automation Letters 8 (4), 2173-2180, 2022 | 6 | 2022 |
| Reconstruct as far as you can: Consensus of non-rigid reconstruction from feasible regions G Cha, M Lee, J Cho, S Oh IEEE transactions on pattern analysis and machine intelligence 43 (2), 623-637, 2019 | 6 | 2019 |
| Estimating objectness using a compound eye camera H Yoo, D Lee, G Cha, S Oh 2017 IEEE International Conference on Multisensor Fusion and Integration for …, 2017 | 6 | 2017 |
| Light-weight semantic segmentation for compound images G Cha, H Yoo, D Lee, S Oh 2017 IEEE International Conference on Multisensor Fusion and Integration for …, 2017 | 6 | 2017 |
| Samba: A real-time motion capture system using wireless camera sensor networks H Oh, G Cha, S Oh Sensors 14 (3), 5516-5535, 2014 | 6 | 2014 |
| Vehicle Control with Prediction Model Based Monte-Carlo Tree Search T Ha, K Cho, G Cha, K Lee, S Oh 2020 17th International Conference on Ubiquitous Robots (UR), 303-308, 2020 | 4 | 2020 |
| Non-rigid surface recovery with a robust local-rigidity prior G Cha, M Lee, J Cho, S Oh Pattern Recognition Letters 110, 51-57, 2018 | 4 | 2018 |
| Unsupervised 3D Link Segmentation of Articulated Objects With a Mixture of Coherent Point Drift J Choy, G Cha, S Oh IEEE Robotics and Automation Letters 7 (3), 7124-7131, 2022 | 3 | 2022 |
| SEFD: Learning to Distill Complex Pose and Occlusion CH Yang, K Kong, SJ Min, D Wee, HD Jang, G Cha, SJ Kang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Understanding visual information with compound eye camera H Yoo, G Cha, S Oh International Conference on Control, Automation and Systems, 2017 | 1 | 2017 |
| SmartPTA: A Smartphone-Based Human Motion Evaluation System G Cha, J Gong, S Oh 2014 IEEE International Conference on Cyber-Physical Systems, Networks, and …, 2014 | 1 | 2014 |
| Regularizing Dynamic Radiance Fields with Kinematic Fields W Im, G Cha, S Lee, J Lee, J Seon, D Wee, SE Yoon European Conference on Computer Vision, 312-328, 2025 | | 2025 |
| See-Then-Grasp: Object Full 3D Reconstruction via Two-Stage Active Robotic Reconstruction Using Single Manipulator Y Hong, J Kim, G Cha, E Kim, K Lee Applied Sciences 15 (1), 272, 2024 | | 2024 |
| Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos C Choi, J Kim, G Cha, M Kim, D Wee, YM Kim arXiv preprint arXiv:2412.19089, 2024 | | 2024 |
Songhwai OhDepartment of Electrical and Computer Engineering, Seoul National University, KoreaVerified email at snu.ac.kr
