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ORCIDSaurabh Saini
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2020 – today
- 2024
[c13]Saurabh Saini, P. J. Narayanan:
Specularity Factorization for Low-Light Enhancement. CVPR 2024: 1-12- [i10]Saurabh Saini, P. J. Narayanan:
Specularity Factorization for Low-Light Enhancement. CoRR abs/2404.01998 (2024) - [i9]Saurabh Saini, Kapil Ahuja, Siddartha Chennareddy, Karthik Boddupalli:
Deep Learning Descriptor Hybridization with Feature Reduction for Accurate Cervical Cancer Colposcopy Image Classification. CoRR abs/2405.01600 (2024) - 2023
- [c12]Rahul Goel, Dhawal Sirikonda, Saurabh Saini, P. J. Narayanan:
Interactive Segmentation of Radiance Fields. CVPR 2023: 4201-4211 - [c11]Avani Gupta, Saurabh Saini, P. J. Narayanan:
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement. NeurIPS 2023 - [i8]Avani Gupta, Saurabh Saini, P. J. Narayanan:
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement. CoRR abs/2311.15303 (2023) - 2022
- [c10]Avani Gupta
, Saurabh Saini, P. J. Narayanan:
Interpreting Intrinsic Image Decomposition using Concept Activations. ICVGIP 2022: 2:1-2:9 - [c9]Saurabh Saini, P. J. Narayanan:
Quaternion Factorized Simulated Exposure Fusion. ICVGIP 2022: 3:1-3:9 - [c8]Rahul Goel, Dhawal Sirikonda, Saurabh Saini, P. J. Narayanan:
StyleTRF: Stylizing Tensorial Radiance Fields✱. ICVGIP 2022: 42:1-42:9 - [i7]Rahul Goel, Dhawal Sirikonda, Saurabh Saini, P. J. Narayanan:
StyleTRF: Stylizing Tensorial Radiance Fields. CoRR abs/2212.09330 (2022) - [i6]Rahul Goel, Dhawal Sirikonda, Saurabh Saini, P. J. Narayanan:
Interactive Segmentation of Radiance Fields. CoRR abs/2212.13545 (2022) - 2021
- [c7]Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, Ming-Hsuan Yang:
Learning to Stylize Novel Views. ICCV 2021: 13849-13858 - [i5]Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Kumar Singh, Ming-Hsuan Yang:
Learning to Stylize Novel Views. CoRR abs/2105.13509 (2021)
2010 – 2019
- 2019
- [c6]Aakash K. T., Parikshit Sakurikar, Saurabh Saini, P. J. Narayanan:
A Flexible Neural Renderer for Material Visualization. SIGGRAPH Asia Technical Briefs 2019: 83-86 - [i4]Saurabh Saini, P. J. Narayanan:
Semantic Hierarchical Priors for Intrinsic Image Decomposition. CoRR abs/1902.03830 (2019) - [i3]Aakash K. T., Parikshit Sakurikar, Saurabh Saini, P. J. Narayanan:
A Flexible Neural Renderer for Material Visualization. CoRR abs/1908.09530 (2019) - 2018
- [c5]Saurabh Saini, P. J. Narayanan:
Semantic Priors for Intrinsic Image Decomposition. BMVC 2018: 154 - [c4]Gaurav Mishra, Saurabh Saini, Kiran Varanasi, P. J. Narayanan:
Human Shape Capture and Tracking at Home. WACV 2018: 390-399 - 2016
- [c3]Aditya Singh, Saurabh Saini, Rajvi Shah, P. J. Narayanan:
From Traditional to Modern: Domain Adaptation for Action Classification in Short Social Video Clips. GCPR 2016: 245-257 - [c2]Saurabh Saini, Parikshit Sakurikar, P. J. Narayanan:
Intrinsic image decomposition using focal stacks. ICVGIP 2016: 88:1-88:8 - [c1]Aditya Singh, Saurabh Saini, Rajvi Shah, P. J. Narayanan:
Learning to hash-tag videos with Tag2Vec. ICVGIP 2016: 94:1-94:8 - [i2]Aditya Singh, Saurabh Saini, Rajvi Shah, P. J. Narayanan:
From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips. CoRR abs/1610.05613 (2016) - [i1]Aditya Singh, Saurabh Saini, Rajvi Shah, P. J. Narayanan:
Learning to Hash-tag Videos with Tag2Vec. CoRR abs/1612.04061 (2016)
Coauthor Index
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