Probabilistic traversability map generation using 3D-LIDAR and camera. - Juil Sock; Jun Kim; Jihong Min; Kiho Kwak (ICRA, 2016)

Indirect Correspondence-Based Robust Extrinsic Calibration of LiDAR and Camera. - Sungdae Sim; Juil Sock; Kiho Kwak (Sensors, 2016)

Pose Guided RGBD Feature Learning for 3D Object Pose Estimation. - Vassileios Balntas; Andreas Doumanoglou; Caner Sahin; Juil Sock; Rigas Kouskouridas; Tae-Kyun Kim 001 (ICCV, 2017)

Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images. - Juil Sock; S. Hamidreza Kasaei 001; Luís Seabra Lopes; Tae-Kyun Kim 001 (ICCV Workshops, 2017)

Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots. - S. Hamidreza Kasaei 001; Juil Sock; Luís Seabra Lopes; Ana Maria Tomé; Tae-Kyun Kim 001 (AAAI, 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 001 (BMVC, 2018)

Instance- and Category-level 6D Object Pose Estimation. - Caner Sahin; Guillermo Garcia-Hernando; Juil Sock; Tae-Kyun Kim 001 (CoRR, 2019)

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 001 (3DV, 2020)

Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning. - Juil Sock; Guillermo Garcia-Hernando; Tae-Kyun Kim 001 (IROS, 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 001 (CoRR, 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 001 (Image Vis. Comput., 2020)

Active recognition and domain adaptation for 6D object pose estimation. - Juil Sock (2021)

Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap. - Georgia Channing; Juil Sock; Ronald Clark; Philip Torr 001; Christian Schröder de Witt (CoRR, 2024)

MAD-Sherlock: Multi-Agent Debates for Out-of-Context Misinformation Detection. - Kumud Lakara; Juil Sock; Christian Rupprecht 001; Philip Torr 001; John P. Collomosse; Christian Schröder de Witt (CoRR, 2024)

Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks. - Mingyi Yang; Fei Yang 004; Luka Murn; Marc Górriz Blanch; Juil Sock; Shuai Wan; Fuzheng Yang 001; Luis Herranz (IEEE Trans. Circuits Syst. Video Technol., 2024)

Enhanced neural video compression for cloud gaming videos with aligned frame generation. - Yifan Wang; Fei Yang 004; Luka Murn; Juil Sock; Marc Górriz Blanch; Shuai Wan; Wei Zhang 072; Fuzheng Yang 001; Luis Herranz (Expert Syst. Appl., 2025)

Towards Reliable Identification of Diffusion-based Image Manipulations. - Alex Costanzino; Woody Bayliss; Juil Sock; Marc Górriz Blanch; Danijela Horak; Ivan Laptev; Philip Torr 001; Fabio Pizzati (CoRR, 2025)

Lightweight Deep Exemplar Colorization via Semantic Attention-Guided Laplacian Pyramid. - Chengyi Zou; Shuai Wan; Marc Górriz Blanch; Luka Murn; Marta Mrak; Juil Sock; Fei Yang 004; Luis Herranz (IEEE Trans. Vis. Comput. Graph., 2025)