Hyeonjoong Jang

PhD Student

Hyeonjoon Jang (장현중) is a PhD student in the Visual Computing Lab, KAIST and received his Master degree in Computer Science from KAIST in 2019. Prior to coming to the KAIST-VCLAB, he obtained his BS degree in Computer Science from KAIST. His research interests include various applications of computer graphics and vision, including spherical stereo imaging and rendering.

• 360-degree stereo imaging
• 3D imaging

• Donggun Kim, Hyeonjoong Jang, Inchul Kim, Min H. Kim (2023) “Spatio-Focal Bidirectional Disparity Estimation from a Dual-Pixel Image,” Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, Jun. 18 – 22, 2023
• Hyeonjoong Jang, Andréas Meuleman, Dahyun Kang, Donggun Kim, Christian Richardt, Min H. Kim (2022), “Egocentric Scene Reconstruction From an Omnidirectional Video,” ACM Transactions on Graphics (TOG), presented at SIGGRAPH 2022, 41(4)
• Donghun Kang, Hyeonjoong Jang, Jungeon Lee, Chong-Min Kyung, Min H. Kim (2022) “Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching,” Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, USA, Jun. 19 - 24, 2022

• Mustafa B. Yaldiz, Andreas Meuleman, Hyeonjoong Jang, Hyunho Ha, Min H. Kim (2021), “DeepFormableTag: End-to-end Generation and Recognition of Deformable Fiducial Markers,” ACM Transactions on Graphics (TOG), presented at SIGGRAPH 2021, 40(4), Aug. 9 - Aug. 13, 2021

• Andreas Meuleman, Hyeonjoong Jang, Daniel S. Jeon, Min H. Kim (2021) “Real-Time Sphere Sweeping Stereo from Multiview Fisheye Images,” Proc. IEEE Computer Vision and Pattern Recognition (CVPR Oral 2021), Nashville, Tennessee, USA, June 19–25, 2021

• Dahyun Kang, Daniel S. Jeon, Hakyeong Kim, Hyeonjoong Jang, Min H. Kim (2021), “View-dependent Scene Appearance Synthesis using Inverse Rendering from Light Fields,” Proc. IEEE International Conference on Computational Photography (ICCP 2021), Haifa, Israel, May 23--25, 2021

• Hyeonjoong Jang, Hyunho Ha, Daniel S. Jeon, Min H. Kim (2019), “Fast Omnidirectional Depth Densification,” Proc. International Symposium on Visual Computing (ISVC 2019, Oral), Lake Tahoe, Nevada, USA, October 7--9, 2019