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Juil Sock
Juil Sock
Verified email at imperial.ac.uk - Homepage
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Cited by
Year
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
662017
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
552017
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
542020
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
512016
Indirect correspondence-based robust extrinsic calibration of LiDAR and camera
S Sim, J Sock, K Kwak
Sensors 16 (6), 933, 2016
432016
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
292018
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
242018
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
132019
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
112020
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
82020
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
5
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
42020
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
42014
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
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Articles 1–17