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Juil Sock
Juil Sock
Verified email at imperial.ac.uk - Homepage
Title
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Cited by
Year
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
1012020
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
852017
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
762016
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
702017
Indirect correspondence-based robust extrinsic calibration of LiDAR and camera
S Sim, J Sock, K Kwak
Sensors 16 (6), 933, 2016
562016
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
382018
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
282018
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
262020
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
202019
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
142020
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
52020
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
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
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
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
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
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