Experienced AI and Computer Vision Specialist with a Ph.D. in Electrical and Electronic Engineering from Imperial College London. Proven track record in leading innovative projects, including the development of advanced image restoration and synthetic image detection systems at BBC R&D. Skilled in Python, MATLAB, and various ML tools such as Pytorch, AWS and Azure. Adept at managing diverse teams, collaborating with academic institutions, and contributing to impactful research publications.
News
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January 2024 - A journal paper accepted at IEEE Transactions on Circuits and Systems for Video Technology
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February 2024 - Joined BBC AI Research as a Lead R&D Engineer!
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May 2021 - PhD Thesis has been approved and the degree will be awarded in June 2021!
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October 2020 - One paper accepted at International Conference on 3D Vision (3DV'20) as Oral.
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July 2020 - One paper accepted at International Conference on Intelligent Robots and Systems (IROS'20)
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December 2019 - I have co-authored a book chapter in "RGB-D Image Analysis and Processing"
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October 2019 - I am co-organizing 5th International Workshop on Recovering 6D Object Pose at ICCV'19
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July 2018 - One paper accepted at British Machine Vision Conference(BMVC'18)
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December 2017 - One paper accepted for an oral presentation at Association for the Advancement of Artificial Intelligence(AAAI'18)
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October 2017 - I will be a co-organiser of the 3rd International Workshop on Recovering 6D Object Pose at ICCV'17
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September 2017 - One paper accepted for an oral presentation at the 3rd International Workshop on Recovering 6D Object Pose at ICCV'17
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September 2017 - Student volunteer at BMVC 2017
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July 2017 - One paper accepted to ICCV 2017
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October 2016 - Started PhD. program at Imperial College
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June 2016 - A journal paper published to Sensors
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March 2016 - One paper accepted to ICRA 2016
Publications
For more recent publications, please check my google scholar page[link]
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J. Sock, G. Garcia-Hernando, A. Armagan, T-K. Kim, Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images, International Conference on 3D Vision (3DV), Fukuoka, Japan, Oct 2020, Oral [PDF]
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J. Sock, G. Garcia-Hernando, T-K. Kim, Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning, Proc. of International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, Oct 2020 [PDF]
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C. Sahin, G. Garcia-Hernando, J. Sock, T-K. Kim, Instance- and Category-level 6D Object Pose Estimation, book chapter in RGB-D Image Analysis and Processing, Springer, 2019
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J. Sock, K.I. Kim, C. Sahin, T-K. Kim, Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios, Proc. of British Machine Vision Conference (BMVC), Newcastle upon Tyne, UK, Sep 2018 [PDF]
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Hamidreza Kasaei, Juil Sock, Luis Seabra Lopes, Ana Maria Tome, T-K Kim, Perceiving, Learning, and Recognizing 3D Objects : An Approach to Cognitive Service Robots, Proc. of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, USA, Feb 2018 [PDF]
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Juil Sock, S.Hamidreza Kasaei, Luis Seabra Lopes, T-K Kim, Multi-view 6D Object Pose Estimation and Camera Motion Planning using RGBD Images, Proc. of Internation Conference on Computer Vision Workshop (ICCVW), Venice, Italy, Oct 2017 [PDF]
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Vassileios Balntas, Andreas Doumanoglou, Caner Sahin, Juil Sock, Rigas Kouskouridas, T-K Kim, Pose Guided RGBD Feature Learning for 3D Object Pose Estimation, Proc. of International Conference on Computer Vision (ICCV), Venice, Italy, Oct 2017 [PDF]
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Juil Sock, Jun Kim, Jihong Min, Kiho Kwak, Probabilistic traversability map generation using 3D-LIDAR and camera, Proc. of International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, May 2016 [Link]
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Sungdae Sim, Juil Sock, Kiho Kwak, Indirect Correspondence-Based Robust Extrinsic Calibration of LiDAR and Camera. IEEE Sensors Journal, 2016 [PDF]