The International Conference on Intelligent Computing and its Emerging Applications (ICEA2024) was held at the University of Tokyo’s Komaba Campus from November 28 to 29, 2024. This conference gathered researchers from various fields to share and discuss the latest advancements in artificial intelligence, deep learning, and intelligent systems. Topics covered included supervised and unsupervised learning, cloud computing, GPU technologies, and applications in IoT, smart cities, and AR/VR.
Two papers from Tsukada Lab received Best Paper Awards at the conference. The first paper, “Cross-Attention Enhanced Imitation Learning for End-to-end Autonomous Driving in Unprotected Turns,” authored by Dongyang Li, a second-year master’s student, proposed a novel imitation learning method to improve autonomous driving in complex scenarios. This work was recognized with the Best Paper Award (Silver). The second paper, “LiDAR-Camera Fusion for Video Panoptic Segmentation without Video Training,” was a collaborative study with Amirkabir University of Technology in Iran. It introduced a method for fusing LiDAR and image data and received the Best Paper Award (Bronze).
These achievements highlight the dedication and collaboration of our team and research partners. Inspired by this recognition, we aim to continue contributing to advancements in intelligent computing.