A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators C Sahin, G Garcia-Hernando, J Sock, TK Kim Image and Vision Computing 96, 103898, 2020 | 111 | 2020 |
Pose guided RGBD feature learning for 3D object pose estimation V Balntas, A Doumanoglou, C Sahin, J Sock, R Kouskouridas, TK Kim Proceedings of the IEEE international conference on computer vision, 3856-3864, 2017 | 89 | 2017 |
Probabilistic traversability map generation using 3D-LIDAR and camera J Sock, J Kim, J Min, K Kwak 2016 IEEE international conference on robotics and automation (ICRA), 5631-5637, 2016 | 84 | 2016 |
Multi-view 6D object pose estimation and camera motion planning using RGBD images J Sock, S Hamidreza Kasaei, L Seabra Lopes, TK Kim Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 71 | 2017 |
Indirect correspondence-based robust extrinsic calibration of LiDAR and camera S Sim, J Sock, K Kwak Sensors 16 (6), 933, 2016 | 57 | 2016 |
Multi-task deep networks for depth-based 6d object pose and joint registration in crowd scenarios J Sock, KI Kim, C Sahin, TK Kim arXiv preprint arXiv:1806.03891, 2018 | 38 | 2018 |
Perceiving, learning, and recognizing 3d objects: An approach to cognitive service robots S Kasaei, J Sock, LS Lopes, AM Tomé, TK Kim Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 30 | 2018 |
Introducing pose consistency and warp-alignment for self-supervised 6d object pose estimation in color images J Sock, G Garcia-Hernando, A Armagan, TK Kim 2020 International conference on 3D vision (3DV), 291-300, 2020 | 28 | 2020 |
Instance-and category-level 6d object pose estimation C Sahin, G Garcia-Hernando, J Sock, TK Kim RGB-D Image Analysis and Processing, 243-265, 2019 | 22 | 2019 |
Active 6d multi-object pose estimation in cluttered scenarios with deep reinforcement learning J Sock, G Garcia-Hernando, TK Kim 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 14 | 2020 |
Tackling two challenges of 6d object pose estimation: Lack of real annotated rgb images and scalability to number of objects J Sock, P Castro, A Armagan, G Garcia-Hernando, TK Kim arXiv preprint arXiv:2003.12344, 2020 | 5 | 2020 |
Probabilistic traversability map building for autonomous navigation J Sock, K Kwak, J Min, YW Park 2014 14th International Conference on Control, Automation and Systems (ICCAS …, 2014 | 4 | 2014 |
Multi-task deep networks for depth-based 6D object pose and joint registration in crowd scenarios. arXiv 2018 J Sock, KI Kim, C Sahin, TK Kim arXiv preprint arXiv:1806.03891, 0 | 4 | |
Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks M Yang, F Yang, L Murn, MG Blanch, J Sock, S Wan, F Yang, L Herranz IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 1 | 2024 |
Enhanced neural video compression for cloud gaming videos with aligned frame generation Y Wang, F Yang, L Murn, J Sock, MG Blanch, S Wan, W Zhang, F Yang, ... Expert Systems with Applications, 125535, 2024 | | 2024 |
Lightweight Deep Exemplar Colorization via Semantic Attention-Guided Laplacian Pyramid C Zou, S Wan, MG Blanch, L Murn, M Mrak, J Sock, F Yang, L Herranz IEEE Transactions on Visualization and Computer Graphics, 2024 | | 2024 |
Active recognition and domain adaptation for 6D object pose estimation JI Sock Imperial College London, 2021 | | 2021 |
Multi-Task Learning for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios J Sock, KI Kim, C Sahin, TK Kim Proc. of British Machine Vision Conference (BMVC), 2018 | | 2018 |
야지자율주행을 위한 환경인식기술 민지홍, 석주일, 김준, 안성용, 심성대, 곽기호 대한전기학회 학술대회 논문집, 1462-1463, 2016 | | 2016 |
영상 다중 분할을 통한 강인한 특징 추출 기반의 차선인식 기법 안성용, 곽기호, 민지홍, 석주일 대한전기학회 학술대회 논문집, 339-340, 2013 | | 2013 |