Juil Sock

22 papers A* 3A 2Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Curriculum learning-based slimmable cross-component prediction for video coding.
Neurocomputing
Chengyi Zou, Shuai Wan, Marc Górriz Blanch, Luka Murn, Juil Sock, Fei Yang, Luis Herranz
2025 J jnl
Enhanced neural video compression for cloud gaming videos with aligned frame generation.
Expert Syst. Appl.
Yifan Wang, Fei Yang, Luka Murn, Juil Sock, Marc Górriz Blanch, Shuai Wan, Wei Zhang, Fuzheng Yang, Luis Herranz
2025 J jnl
Lightweight Deep Exemplar Colorization via Semantic Attention-Guided Laplacian Pyramid.
IEEE Trans. Vis. Comput. Graph.
Chengyi Zou, Shuai Wan, Marc Górriz Blanch, Luka Murn, Marta Mrak, Juil Sock, Fei Yang, Luis Herranz
2025 J jnl
Towards Reliable Identification of Diffusion-based Image Manipulations.
CoRR
Alex Costanzino, Woody Bayliss, Juil Sock, Marc Górriz Blanch, Danijela Horak, Ivan Laptev, Philip Torr, Fabio Pizzati
2024 J jnl
MAD-Sherlock: Multi-Agent Debates for Out-of-Context Misinformation Detection.
CoRR
Kumud Lakara, Juil Sock, Christian Rupprecht, Philip Torr, John P. Collomosse, Christian Schröder de Witt
2024 J jnl
Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks.
IEEE Trans. Circuits Syst. Video Technol.
Mingyi Yang, Fei Yang, Luka Murn, Marc Górriz Blanch, Juil Sock, Shuai Wan, Fuzheng Yang, Luis Herranz
2024 J jnl
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap.
CoRR
Georgia Channing, Juil Sock, Ronald Clark, Philip Torr, Christian Schröder de Witt
2021 — —
Active recognition and domain adaptation for 6D object pose estimation.
Juil Sock
2020 J jnl
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators.
CoRR
Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim
2020 J jnl
A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators.
Image Vis. Comput.
Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim
2020 A conf
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning.
IROS
Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim
2020 — conf
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images.
3DV
Juil Sock, Guillermo Garcia-Hernando, Anil Armagan, Tae-Kyun Kim
2020 J jnl
Tackling Two Challenges of 6D Object Pose Estimation: Lack of Real Annotated RGB Images and Scalability to Number of Objects.
CoRR
Juil Sock, Pedro Castro, Anil Armagan, Guillermo Garcia-Hernando, Tae-Kyun Kim
2019 J jnl
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning.
CoRR
Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim
2019 J jnl
Instance- and Category-level 6D Object Pose Estimation.
CoRR
Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim
2018 A conf
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios.
BMVC
Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim
2018 J jnl
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios.
CoRR
Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim
2018 A* conf
Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots.
AAAI
S. Hamidreza Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae-Kyun Kim
2017 — conf
Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images.
ICCV Workshops
Juil Sock, S. Hamidreza Kasaei, Luís Seabra Lopes, Tae-Kyun Kim
2017 A* conf
Pose Guided RGBD Feature Learning for 3D Object Pose Estimation.
ICCV
Vassileios Balntas, Andreas Doumanoglou, Caner Sahin, Juil Sock, Rigas Kouskouridas, Tae-Kyun Kim
2016 J jnl
Indirect Correspondence-Based Robust Extrinsic Calibration of LiDAR and Camera.
Sensors
Sungdae Sim, Juil Sock, Kiho Kwak
2016 A* conf
Probabilistic traversability map generation using 3D-LIDAR and camera.
ICRA
Juil Sock, Jun Kim, Jihong Min, Kiho Kwak