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Conference and Workshop Papers
- 2023
[c3]Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel:
Token Pooling in Vision Transformers for Image Classification. WACV 2023: 12-21- 2022
- [c2]Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari:
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. ECCV (11) 2022: 553-568 - 2020
- [c1]Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CVPR 2020: 12021-12030
Informal and Other Publications
- 2024
- [i5]Huan Wang, Feitong Tan, Ziqian Bai, Yinda Zhang, Shichen Liu, Qiangeng Xu, Menglei Chai, Anish Prabhu, Rohit Pandey, Sean Fanello, Zeng Huang, Yun Fu:
LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field. CoRR abs/2409.18057 (2024) - 2023
- [i4]Elvis Nunez, Thomas Merth, Anish Prabhu, Mehrdad Farajtabar, Mohammad Rastegari, Sachin Mehta, Maxwell Horton:
On the Efficacy of Multi-scale Data Samplers for Vision Applications. CoRR abs/2309.04502 (2023) - 2022
- [i3]Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari:
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. CoRR abs/2207.10237 (2022) - 2021
- [i2]Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel:
Token Pooling in Vision Transformers. CoRR abs/2110.03860 (2021) - [i1]Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari:
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time. CoRR abs/2110.04252 (2021)
Coauthor Index
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