@inproceedings{fan2026compressing,author={Fan, Xiaoyue and Zhan, Yicheng and Mazumdar, Amrita and Ak\c{s}it, Kaan},title={Compressing Double-Phase Holograms using 2D Gaussians},year={2026},booktitle={Eurographics 2026 Posters},publisher={Eurographics Association},url={},doi={},}
AAAI
Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network
@article{zhan2026enhancing,author={Zhan, Yicheng and Ahmed, Fahim and Burrell, Amy and Tonkin, Matthew and Galambos, Sarah and Woodhams, Jessica and Alrajeh, Dalal},title={Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network},year={2026},month=mar,journal={Proceedings of the AAAI Conference on Artificial Intelligence},volume={40},number={46},pages={39576--39584},publisher={AAAI Press},location={Singapore},doi={10.1609/aaai.v40i46.41309},url={https://ojs.aaai.org/index.php/AAAI/article/view/41309},}
@article{zhan2025complexvalued,author={Zhan, Yicheng and Shin, Dong-Ha and Baek, Seung-Hwan and Ak\c{s}it, Kaan},title={Complex-Valued Holographic Radiance Fields},year={2026},publisher={Association for Computing Machinery},address={New York, NY, USA},issn={0730-0301},journal={ACM Transactions on Graphics (Presented in SIGGRAPH 2026)},month=mar,note={},keywords={Novel View Synthesis, Radiance Fields, 3D Gaussians, Computer-Generated Holography},location={Los Angeles, California, USA},doi={10.1145/3804450},url={https://doi.org/10.1145/3804450},}
2025
SIGGRAPH
Assessing Learned Models for Phase-only Hologram Compression
@inproceedings{peng2025assessing,author={Peng, Zicong and Zhan, Yicheng and Spjut, Josef and Ak\c{s}it, Kaan},title={Assessing Learned Models for Phase-only Hologram Compression},year={2025},isbn={9798400715495},publisher={Association for Computing Machinery},address={New York, NY, USA},booktitle={SIGGRAPH 2025 Poster Track},articleno={38},numpages={2},keywords={Computer-Generated Holography, Hologram Compression, Holographic Displays},location={Vancouver, Canada},doi={10.1145/3721250.3742993},series={SIGGRAPH Posters '25},}
2024
SPIE
AutoColor: learned light power control for multi-color holograms
@inproceedings{zhan2024autocolor,author={Zhan, Yicheng and Kavaklı, Koray and Urey, Hakan and Sun, Qi and Akşit, Kaan},title={{AutoColor: learned light power control for multi-color holograms}},volume={12913},booktitle={Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR)},editor={Argaman, Naamah and Hua, Hong and Nikolov, Daniel K.},organization={International Society for Optics and Photonics},publisher={SPIE},pages={129130I},keywords={AutoColor, multi-color holography, learning based, neural network, light intensity, holography dataset},year={2024},location={San Francisco, California, USA},doi={10.1117/12.3000082},}
SIGGRAPH Asia
Focal Surface Holographic Light Transport using Learned Spatially Adaptive Convolutions
@inproceedings{zheng2024focal,author={Zheng, Chuanjun and Zhan, Yicheng and Shi, Liang and Cakmakci, Ozan and Ak\c{s}it, Kaan},title={Focal Surface Holographic Light Transport using Learned Spatially Adaptive Convolutions},year={2024},isbn={9798400711404},publisher={Association for Computing Machinery},address={New York, NY, USA},booktitle={SIGGRAPH Asia 2024 Technical Communications},articleno={28},numpages={4},keywords={Computer-Generated Holography, Light Transport, Optimization.},location={Tokyo, Japan},series={SA '24},doi={10.1145/3681758.3697989},}