Butterfly Transform: An Efficient FFT Based Neural Architecture Design. - Keivan Alizadeh-Vahid; Anish Prabhu; Ali Farhadi; Mohammad Rastegari (CVPR, 2020)

Token Pooling in Vision Transformers. - Dmitrii Marin; Jen-Hao Rick Chang; Anurag Ranjan; Anish Prabhu; Mohammad Rastegari; Oncel Tuzel (CoRR, 2021)

LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time. - Elvis Nunez; Maxwell Horton; Anish Prabhu; Anurag Ranjan; Ali Farhadi; Mohammad Rastegari (CoRR, 2021)

SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. - Chien-Yu Lin; Anish Prabhu; Thomas Merth; Sachin Mehta; Anurag Ranjan; Maxwell Horton; Mohammad Rastegari (ECCV (11), 2022)

Token Pooling in Vision Transformers for Image Classification. - Dmitrii Marin; Jen-Hao Rick Chang; Anurag Ranjan; Anish Prabhu; Mohammad Rastegari; Oncel Tuzel (WACV, 2023)

On the Efficacy of Multi-scale Data Samplers for Vision Applications. - Elvis Nunez; Thomas Merth; Anish Prabhu; Mehrdad Farajtabar; Mohammad Rastegari; Sachin Mehta; Maxwell Horton (CoRR, 2023)

LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field. - Huan Wang 014; Feitong Tan; Ziqian Bai; Yinda Zhang 001; Shichen Liu; Qiangeng Xu; Menglei Chai; Anish Prabhu; Rohit Pandey; Sean Fanello; Zeng Huang; Yun Fu 001 (ECCV Workshops (11), 2024)