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Journal Articles
- 2020
[j1]Anil Kumar Vadathya
, Sharath Girish, Kaushik Mitra:
A Unified Learning-Based Framework for Light Field Reconstruction From Coded Projections. IEEE Trans. Computational Imaging 6: 304-316 (2020)
Conference and Workshop Papers
- 2023
- [c6]Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava:
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling. CVPR 2023: 14378-14387 - [c5]Sharath Girish, Abhinav Shrivastava, Kamal Gupta:
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. ICCV 2023: 17467-17478 - [c4]Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava:
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. ICLR 2023 - 2021
- [c3]Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry S. Davis, Abhinav Shrivastava:
The Lottery Ticket Hypothesis for Object Recognition. CVPR 2021: 762-771 - [c2]Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava:
Towards Discovery and Attribution of Open-world GAN Generated Images. ICCV 2021: 14074-14083 - 2019
- [c1]Mahesh Mohan M. R., Sharath Girish, Rajagopalan Ambasamudram:
Unconstrained Motion Deblurring for Dual-Lens Cameras. ICCV 2019: 7869-7878
Informal and Other Publications
- 2023
- [i8]Sharath Girish, Abhinav Shrivastava, Kamal Gupta:
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. CoRR abs/2309.15848 (2023) - [i7]Sharath Girish, Kamal Gupta, Abhinav Shrivastava:
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS. CoRR abs/2312.04564 (2023) - 2022
- [i6]Sharath Girish, Debadeepta Dey, Neel Joshi, Vibhav Vineet, Shital Shah, Caio César Teodoro Mendes, Abhinav Shrivastava, Yale Song:
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning. CoRR abs/2203.08130 (2022) - [i5]Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava:
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. CoRR abs/2204.02965 (2022) - [i4]Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava:
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling. CoRR abs/2212.14593 (2022) - 2021
- [i3]Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava:
Towards Discovery and Attribution of Open-world GAN Generated Images. CoRR abs/2105.04580 (2021) - 2020
- [i2]Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry Davis, Abhinav Shrivastava:
The Lottery Ticket Hypothesis for Object Recognition. CoRR abs/2012.04643 (2020) - 2018
- [i1]Anil Kumar Vadathya, Sharath Girish, Kaushik Mitra:
A Unified Learning Based Framework for Light Field Reconstruction from Coded Projections. CoRR abs/1812.10532 (2018)
Coauthor Index
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