| 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 | 113 | 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 | 90 | 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 | 85 | 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 | 72 | 2017 |
| Indirect correspondence-based robust extrinsic calibration of LiDAR and camera S Sim, J Sock, K Kwak Sensors 16 (6), 933, 2016 | 59 | 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 | 39 | 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 | 15 | 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 | 6 | 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 | |
| Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap G Channing, J Sock, R Clark, P Torr, CS de Witt arXiv preprint arXiv:2410.07436, 2024 | 1 | 2024 |
| 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 261, 125535, 2025 | | 2025 |
| MAD-Sherlock: Multi-Agent Debates for Out-of-Context Misinformation Detection K Lakara, J Sock, C Rupprecht, P Torr, J Collomosse, CS de Witt arXiv preprint arXiv:2410.20140, 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 |
