Visual Perspective
Visual perspective, encompassing the understanding and representation of viewpoints, is a burgeoning research area focusing on how humans and machines perceive and interpret visual information from different angles. Current research emphasizes improving the generalization capabilities of models like Vision-Language Models (VLMs) and developing methods to mitigate biases, particularly cultural biases, in image understanding and analysis. This work is crucial for advancing artificial intelligence, particularly in applications requiring nuanced understanding of context and diverse perspectives, such as autonomous driving, human-robot interaction, and healthcare.
Papers
Optimal Strategy Revision in Population Games: A Mean Field Game Theory Perspective
Julian Barreiro-Gomez, Shinkyu Park
Enhancement of Neural Inertial Regression Networks: A Data-Driven Perspective
Victoria Khalfin Fekson, Nitsan Pri-Hadash, Netta Palez, Aviad Etzion, Itzik Klein
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning
Shuo Yu, Yingbo Wang, Ruolin Li, Guchun Liu, Yanming Shen, Shaoxiong Ji, Bowen Li, Fengling Han, Xiuzhen Zhang, Feng Xia