The Michigan State University AI Research (MAIR), housed within the Department of Computer Science and Engineering (CSE) at Michigan State University (MSU), holds a distinguished position in the dynamic field of Artificial Intelligence (AI). With a rich history of innovation and a commitment to pushing the boundaries of technology, MAIR provides a hub of creativity and discovery in AI research. Led by a diverse team of renowned experts, MAIR endeavors include a wide range of research domains, spanning biometrics, computer vision, data mining, natural language processing, and machine learning. Leveraging interdisciplinary collaborations and state-of-the-art facilities, MAIR is not only advancing the frontiers of AI but also nurturing the next generation of AI leaders and problem solvers. Welcome to the dynamic world of AI research at MSU, where innovation knows no bounds.
The Michigan State University AI Research (MAIR), housed within the Department of Computer Science and Engineering (CSE) at Michigan State University (MSU), holds a distinguished position in the dynamic field of Artificial Intelligence (AI). With a rich history of innovation and a commitment to pushing the boundaries of technology, MAIR provides a hub of creativity and discovery in AI research. Led by a diverse team of renowned experts, MAIR endeavors include a wide range of research domains, spanning biometrics, computer vision, data mining, natural language processing, and machine learning. Leveraging interdisciplinary collaborations and state-of-the-art facilities, MAIR is not only advancing the frontiers of AI but also nurturing the next generation of AI leaders and problem solvers. Welcome to the dynamic world of AI research at MSU, where innovation knows no bounds.
Tags: MAIR News
[CV Lab] Six papers have been accepted to CVPR’24, covering research topics on face recognition, gait recognition, person re-ID, data attribution for AI-generated images, 3D object detection, and 3D point cloud generation. For details, please visit http://cvlab.cse.msu.edu/category/publications.html
[HAL] One paper on finding near-optimal utility-fairness trade-offs has been accepted to CVPR’24. For details, please visit https://hal.cse.msu.edu/papers/
[OPTML] One tutorial on “Machine Unlearning in Computer Vision: Foundations and Applications” has been accepted to CVPR 2024
Tags: CVPR 2024, MAIR News
Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren, Xiaoming Liu. Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Tags: Monocular 3D object detection
Code Article
A. Chen*, Y. Zhang*, J. Jia, J. Diffenderfer, J. Liu, K. Parasyris, Y. Zhang, Z. Zhang, B. Kailkhura, S. Liu. International Conference on Learning Representations (ICLR), 2024
Tags: Scalable Machine Learning
Code
C. Fan*, J. Liu*, Y. Zhang, D. Wei, E. Wong, S. Liu. International Conference on Learning Representations (ICLR), 2024 (Spotlight).
Tags: Trustworthy Machine Learning
Code
F. Liu, R. Ashbaugh, N. Chimitt, N. Hassan, A. Hassani, A. Jaiswal, M. Kim, Z. Mao, C. Perry, Z. Ren, Y. Su, P. Varghaei, K. Wang, X. Zhang, S. Chan, A. Ross, H. Shi, Z. Wang, A. Jain, X. Liu. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
Tags: Biometric Recognition