Playing Chess with Limited Look Ahead. - Arman Maesumi (CoRR, 2020)

Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. - Arman Maesumi; Mingkang Zhu; Yi Wang 076; Tianlong Chen 001; Zhangyang Wang; Chandrajit Bajaj (CoRR, 2021)

Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models. - Arman Maesumi; Paul Guerrero 001; Noam Aigerman; Vladimir G. Kim; Matthew Fisher; Siddhartha Chaudhuri; Daniel Ritchie (SIGGRAPH Asia, 2023)

Explorable Mesh Deformation Subspaces from Unstructured Generative Models. - Arman Maesumi; Paul Guerrero 001; Vladimir G. Kim; Matthew Fisher; Siddhartha Chaudhuri; Noam Aigerman; Daniel Ritchie (CoRR, 2023)

One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns. - Arman Maesumi; Dylan Hu; Krishi Saripalli; Vladimir G. Kim; Matthew Fisher; Sören Pirk; Daniel Ritchie (ACM Trans. Graph., 2024)