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ORCIDDaniel Rebain
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2020 – today
- 2024
[c10]Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
Neural Fields as Distributions: Signal Processing Beyond Euclidean Space. CVPR 2024: 4274-4283- [c9]Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Accelerating Neural Field Training via Soft Mining. CVPR 2024: 20071-20080 - [c8]Akhmedkhan Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction. CVPR 2024: 20571-20580 - [c7]Shrisudhan Govindarajan
, Zeno Sambugaro, Akhmedkhan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi:
Lagrangian Hashing for Compressed Neural Field Representations. ECCV (27) 2024: 183-199 - [c6]Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
Volumetric Rendering with Baked Quadrature Fields. ECCV (63) 2024: 275-292 - [i16]Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Jeff Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
3D Gaussian Splatting as Markov Chain Monte Carlo. CoRR abs/2404.09591 (2024) - [i15]Yalda Foroutan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
Does Gaussian Splatting need SFM Initialization? CoRR abs/2404.12547 (2024) - [i14]Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
BANF: Band-limited Neural Fields for Levels of Detail Reconstruction. CoRR abs/2404.13024 (2024) - [i13]Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Ahan Shabanov, Towaki Takikawa, Daniel Rebain, Weiwei Sun, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi:
Lagrangian Hashing for Compressed Neural Field Representations. CoRR abs/2409.05334 (2024) - [i12]Wei Zhi Tang, Daniel Rebain, Kostantinos G. Derpanis, Kwang Moo Yi:
LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo. CoRR abs/2409.06104 (2024) - 2023
- [j3]Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi:
Attention Beats Concatenation for Conditioning Neural Fields. Trans. Mach. Learn. Res. 2023 (2023) - [c5]Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi:
nerf2nerf: Pairwise Registration of Neural Radiance Fields. ICRA 2023: 9354-9361 - [c4]Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. WACV 2023: 551-560 - [i11]Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Accelerating Neural Field Training via Soft Mining. CoRR abs/2312.00075 (2023) - [i10]Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi:
Volumetric Rendering with Baked Quadrature Fields. CoRR abs/2312.02202 (2023) - 2022
- [c3]Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi:
LOLNeRF: Learn from One Look. CVPR 2022: 1548-1557 - [c2]Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CVPR 2022: 3739-3751 - [i9]Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CoRR abs/2203.03570 (2022) - [i8]Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. CoRR abs/2207.09978 (2022) - [i7]Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi:
Attention Beats Concatenation for Conditioning Neural Fields. CoRR abs/2209.10684 (2022) - [i6]Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi:
nerf2nerf: Pairwise Registration of Neural Radiance Fields. CoRR abs/2211.01600 (2022) - 2021
- [c1]Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi:
DeRF: Decomposed Radiance Fields. CVPR 2021: 14153-14161 - [i5]Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi:
Deep Medial Fields. CoRR abs/2106.03804 (2021) - [i4]Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi:
LOLNeRF: Learn from One Look. CoRR abs/2111.09996 (2021) - 2020
- [i3]Daniel Rebain, Baptiste Angles, Julien P. C. Valentin, Nicholas Vining, Jiju Peethambaran, Shahram Izadi, Andrea Tagliasacchi:
LSMAT Least Squares Medial Axis Transform. CoRR abs/2010.05066 (2020) - [i2]Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi:
DeRF: Decomposed Radiance Fields. CoRR abs/2011.12490 (2020)
2010 – 2019
- 2019
- [j2]Daniel Rebain, Baptiste Angles, Julien P. C. Valentin, Nicholas Vining, Jiju Peethambaran, Shahram Izadi, Andrea Tagliasacchi:
LSMAT Least Squares Medial Axis Transform. Comput. Graph. Forum 38(6): 5-18 (2019) - [j1]Baptiste Angles, Daniel Rebain, Miles Macklin, Brian Wyvill, Loic Barthe, John P. Lewis, Javier von der Pahlen, Shahram Izadi, Julien P. C. Valentin, Sofien Bouaziz, Andrea Tagliasacchi:
VIPER: Volume Invariant Position-based Elastic Rods. Proc. ACM Comput. Graph. Interact. Tech. 2(2): 19:1-19:26 (2019) - [i1]Baptiste Angles, Daniel Rebain, Miles Macklin, Brian Wyvill, Loic Barthe, John P. Lewis, Javier von der Pahlen, Shahram Izadi, Julien P. C. Valentin, Sofien Bouaziz, Andrea Tagliasacchi:
VIPER: Volume Invariant Position-based Elastic Rods. CoRR abs/1906.05260 (2019)
Coauthor Index
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last updated on 2024-12-03 21:23 CET by the dblp team
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