Juil Sock

According to our database, Juil Sock authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Enhanced neural video compression for cloud gaming videos with aligned frame generation.

Yifan Wang, Fei Yang, Luka Murn, Juil Sock, Marc Górriz Blanch, Shuai Wan, Wei Zhang, Fuzheng Yang, Luis Herranz

Expert Syst. Appl., 2025

2024

Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks.

Mingyi Yang, Fei Yang, Luka Murn, Marc Górriz Blanch, Juil Sock, Shuai Wan, Fuzheng Yang, Luis Herranz

IEEE Trans. Circuits Syst. Video Technol., 2024

MAD-Sherlock: Multi-Agent Debates for Out-of-Context Misinformation Detection.

Kumud Lakara, Juil Sock, Christian Rupprecht, Philip Torr, John Collomosse, Christian Schröder de Witt

CoRR, 2024

Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap.

Georgia Channing, Juil Sock, Ronald Clark, Philip Torr, Christian Schröder de Witt

CoRR, 2024

2021

Active recognition and domain adaptation for 6D object pose estimation.

Juil Sock

PhD thesis, 2021

2020

A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators.

Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim

Image Vis. Comput., 2020

Tackling Two Challenges of 6D Object Pose Estimation: Lack of Real Annotated RGB Images and Scalability to Number of Objects.

Juil Sock, Pedro Castro, Anil Armagan, Guillermo Garcia-Hernando, Tae-Kyun Kim

CoRR, 2020

Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning.

Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images.

Juil Sock, Guillermo Garcia-Hernando, Anil Armagan, Tae-Kyun Kim

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Instance- and Category-level 6D Object Pose Estimation.

Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim

CoRR, 2019

2018

Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios.

Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim

Proceedings of the British Machine Vision Conference 2018, 2018

Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots.

S. Hamidreza Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae-Kyun Kim

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images.

Juil Sock, S. Hamidreza Kasaei, Luís Seabra Lopes, Tae-Kyun Kim

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Pose Guided RGBD Feature Learning for 3D Object Pose Estimation.

Vassileios Balntas, Andreas Doumanoglou, Caner Sahin, Juil Sock, Rigas Kouskouridas, Tae-Kyun Kim

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Indirect Correspondence-Based Robust Extrinsic Calibration of LiDAR and Camera.

Sungdae Sim, Juil Sock, Kiho Kwak

Sensors, 2016

Probabilistic traversability map generation using 3D-LIDAR and camera.

Juil Sock, Jun Kim, Jihong Min, Kiho Kwak

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016