Fujitsu Research of America
Converging Lab
Solving social issues with digitally converging multidisciplinary knowledge is at the core of our research and development efforts
We leverage insights from a diverse range of fields, merging inputs from the humanities and social sciences with expertise in digital technology.
In today's landscape, where digital technology is an indispensable part of our lives, society is continually evolving, giving rise to new values. The overarching goals include sustainable societal development, maintaining fairness, and addressing the diverse interests of people. These challenges necessitate comprehensive solutions from various perspectives. However, the increasing specialization within specific fields of study and research poses a counteractive force.
Despite the accumulation of vast expertise in each field, the challenge lies in applying a broader focus – finding a balance between delving deeply into one field while taking others into account. In an increasingly diverse society, research and development confined to a single field are simply no longer appropriate.
Fujitsu's Converging Technologies Laboratory (CT Lab) recognizes the need for a fresh approach that integrates multiple disciplines. Consequently, we are actively engaged in research and development on Converging Technologies, which amalgamate knowledge from various fields, including natural science, social science, and humanities.
Fujitsu Research of America has actively collaborated with University including Carnegie Mellon University (CMU) in Pittsburgh, PA, standing out as a pioneering partner since 2017.
Over the years, our joint research endeavors have garnered numerous accolades in top academic conferences worldwide. The technologies developed through this collaboration are not only recognized in academic circles but are also being applied to real-world scenarios on a global scale through the Fujitsu extensive business presence.
Researchers in the Converging Lab
Aakar Gupta
Anthony Wong
Koichiro Niinuma
Pablo Guarda
Ryosuke Kawamura
Takahisa Yamamoto
Yash Patel
Yusuke Hida
Publications
- Cogs: Controllable gaussian splatting. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024- Heng Yu, Joel Julin, Zoltán Á. Milacski, Koichiro Niinuma, and László A. Jeni.
- Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 - Pedro H. V. Valois, Koichiro Niinuma, Kazuhiro Fukui
- MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 - Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, and Hajime Nagahara