Juil Sock

551 citations

12 papers · 315 indexed · h-index 8

Impact in

Computer Vision and Pattern Recognition top 5%
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Robotic Path Planning Algorithms
- Image and Object Detection Techniques
- Advanced Vision and Imaging
Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization

Papers in ⓘ

Computer Vision and Pattern Recognition 10
- Advanced Vision and Imaging 4
- Image and Object Detection Techniques 3
- Human Pose and Action Recognition 2
- Advanced Image and Video Retrieval Techniques 2
- Advanced Neural Network Applications 2
Aerospace Engineering 9
- Robotics and Sensor-Based Localization 9

Co-authors: Tae‐Kyun Kim (7 shared papers)Kiho Kwak (3 shared papers)Guillermo Garcia-Hernando (4 shared papers)Caner Şahin (3 shared papers)Jun Kim (1 shared paper)Jihong Min (2 shared papers)Luís Seabra Lopes (2 shared papers)Sungdae Sim (1 shared paper)
Journals: Sensors (1 paper)Image and Vision Computing (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)arXiv (Cornell University) (1 paper)
Partner nations: United Kingdom South Korea Portugal

In The Last Decade

Juil Sock

12 papers receiving 300 citations

Peers

Countries citing papers authored by Juil Sock

Since Specialization

Citations

This map shows the geographic impact of Juil Sock's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Juil Sock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juil Sock more than expected).

Fields of papers citing papers by Juil Sock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juil Sock. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Juil Sock. The network helps show where Juil Sock may publish in the future.

Co-authors

The 19 scholars most cited alongside Juil Sock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Juil Sock Line = papers co-authored together Juil Sock links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

#	Work
1	A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators Image and Vision Computing ·Caner Şahin, Guillermo Garcia-Hernando, Juil Sock, Tae‐Kyun Kim	2020	65
2	Probabilistic traversability map generation using 3D-LIDAR and camera Juil Sock, Jun Kim, Jihong Min, Kiho Kwak	2016	62
3	Pose Guided RGBD Feature Learning for 3D Object Pose Estimation Vassileios Balntas, Andreas Doumanoglou, Caner Şahin, Juil Sock, Rigas Kouskouridas, Tae‐Kyun Kim	2017	48
4	Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images Juil Sock, Hamidreza Kasaei, Luís Seabra Lopes, Tae‐Kyun Kim	2017	41
5	Indirect Correspondence-Based Robust Extrinsic Calibration of LiDAR and Camera Sensors ·Sungdae Sim, Juil Sock, Kiho Kwak	2016	35
6	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	2020	21
7	Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots Proceedings of the AAAI Conference on Artificial Intelligence ·Shohreh Kasaei, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, Tae‐Kyun Kim	2018	20
8	Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning Juil Sock, Guillermo Garcia-Hernando, Tae‐Kyun Kim	2020	12
9	Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks IEEE Transactions on Circuits and Systems for Video Technology ·Mingyi Yang, Fei Yang, Luka Murn, Marc Górriz Blanch, Juil Sock, Shuai Wan, Fuzheng Yang, Luis Herranz	2024	5
10	Lightweight Deep Exemplar Colorization via Semantic Attention-Guided Laplacian Pyramid IEEE Transactions on Visualization and Computer Graphics ·Chengyi Zou, Shuai Wan, Marc Górriz Blanch, Luka Murn, Marta Mrak, Juil Sock, Fei Yang, Luis Herranz	2024	2
11	Probabilistic traversability map building for autonomous navigation Juil Sock, Kiho Kwak, Jihong Min, Yong‐Woon Park	2014	2
12	A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators arXiv (Cornell University) ·Caner Şahin, Guillermo Garcia-Hernando, Juil Sock, Tae‐Kyun Kim	2020	2

About Juil Sock

Juil Sock is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Automotive Engineering and Control and Systems Engineering, having authored 12 papers that have together received 315 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (4 papers), Image and Object Detection Techniques (3 papers), Robot Manipulation and Learning (3 papers), Human Pose and Action Recognition (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (230 citations), Aerospace Engineering (187 citations), Geology (31 citations), Control and Systems Engineering (126 citations) and Instrumentation (13 citations). Juil Sock has collaborated with scholars based in United Kingdom, South Korea and Portugal. Frequent co-authors include Tae‐Kyun Kim, Kiho Kwak, Guillermo Garcia-Hernando, Caner Şahin, Jun Kim, Jihong Min, Luís Seabra Lopes, Sungdae Sim, Hamidreza Kasaei and Vassileios Balntas. Their work appears in journals such as Sensors, Image and Vision Computing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Visualization and Computer Graphics and arXiv (Cornell University).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact