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
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI
Ambrish Rawat, Stefan Schoepf, Giulio Zizzo, Giandomenico Cornacchia, Muhammad Zaid Hameed, Kieran Fraser, Erik Miehling, Beat Buesser, Elizabeth M. Daly, Mark Purcell, Prasanna Sattigeri, Pin-Yu Chen, Kush R. Varshney
Revisiting Video Quality Assessment from the Perspective of Generalization
Xinli Yue, Jianhui Sun, Liangchao Yao, Fan Xia, Yuetang Deng, Tianyi Wang, Lei Li, Fengyun Rao, Jing Lv, Qian Wang, Lingchen Zhao
AI Research is not Magic, it has to be Reproducible and Responsible: Challenges in the AI field from the Perspective of its PhD Students
Andrea Hrckova, Jennifer Renoux, Rafael Tolosana Calasanz, Daniela Chuda, Martin Tamajka, Jakub Simko
A Perspective on Large Language Models, Intelligent Machines, and Knowledge Acquisition
Vladimir Cherkassky, Eng Hock Lee