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Nikhil Naik
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2020 – today
- 2024
- [i23]Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik:
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. CoRR abs/2401.13974 (2024) - 2023
- [j5]Andre Esteva, Jean Feng
, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan
, Yilun Sun
, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani
, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou
, Matthew P. Lungren, Serena Yeung
, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler
, Phuoc T. Tran, Daniel E. Spratt
, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023) - [c20]Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez:
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision. AISTATS 2023: 8433-8447 - [c19]Bram Wallace, Akash Gokul, Nikhil Naik:
EDICT: Exact Diffusion Inversion via Coupled Transformations. CVPR 2023: 22532-22541 - [c18]Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik:
End-to-End Diffusion Latent Optimization Improves Classifier Guidance. ICCV 2023: 7246-7256 - [c17]Senthil Purushwalkam, Nikhil Naik:
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. NeurIPS 2023 - [c16]Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik:
PreViTS: Contrastive Pretraining with Video Tracking Supervision. WACV 2023: 1560-1570 - [i22]Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik:
End-to-End Diffusion Latent Optimization Improves Classifier Guidance. CoRR abs/2303.13703 (2023) - [i21]Senthil Purushwalkam, Nikhil Naik:
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. CoRR abs/2311.05230 (2023) - [i20]Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik:
Diffusion Model Alignment Using Direct Preference Optimization. CoRR abs/2311.12908 (2023) - 2022
- [j4]Andre Esteva, Jean Feng
, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan
, Yilun Sun
, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani
, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou
, Matthew P. Lungren, Serena Yeung
, Ashley E. Ross, Michael J. Kucharczyk
, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler
, Phuoc T. Tran, Daniel E. Spratt
, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 5 (2022) - [c15]Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman
, Nikhil Naik:
Can domain adaptation make object recognition work for everyone? CVPR Workshops 2022: 3980-3987 - [c14]Chanwook Oh
, Nikhil Naik, Zamira Daw, Timothy E. Wang, Pierluigi Nuzzo:
ARACHNE: Automated Validation of Assurance Cases with Stochastic Contract Networks. SAFECOMP 2022: 65-81 - [i19]Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman
, Nikhil Naik:
Can domain adaptation make object recognition work for everyone? CoRR abs/2204.11122 (2022) - [i18]Erik Nijkamp, Jeffrey Ruffolo, Eli N. Weinstein, Nikhil Naik, Ali Madani:
ProGen2: Exploring the Boundaries of Protein Language Models. CoRR abs/2206.13517 (2022) - [i17]Bram Wallace, Akash Gokul, Nikhil Naik:
EDICT: Exact Diffusion Inversion via Coupled Transformations. CoRR abs/2211.12446 (2022) - 2021
- [j3]Andre Esteva
, Katherine Chou, Serena Yeung
, Nikhil Naik
, Ali Madani, Ali Mottaghi, Yun Liu
, Eric J. Topol, Jeff Dean, Richard Socher:
Deep learning-enabled medical computer vision. npj Digit. Medicine 4 (2021) - [c13]Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik:
CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. CVPR 2021: 11058-11067 - [c12]Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik:
Deep Extrapolation for Attribute-Enhanced Generation. NeurIPS 2021: 14084-14096 - [i16]Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik:
Deep Extrapolation for Attribute-Enhanced Generation. CoRR abs/2107.02968 (2021) - [i15]Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong, Ran Xu:
Field Extraction from Forms with Unlabeled Data. CoRR abs/2110.04282 (2021) - [i14]Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik:
PreViTS: Contrastive Pretraining with Video Tracking Supervision. CoRR abs/2112.00804 (2021) - [i13]Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez:
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations. CoRR abs/2112.07133 (2021) - 2020
- [c11]Nikhil Naik, Pierluigi Nuzzo:
Robustness Contracts for Scalable Verification of Neural Network-Enabled Cyber-Physical Systems. MEMOCODE 2020: 1-12 - [i12]Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher:
Improving out-of-distribution generalization via multi-task self-supervised pretraining. CoRR abs/2003.13525 (2020) - [i11]Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher:
ProGen: Language Modeling for Protein Generation. CoRR abs/2004.03497 (2020) - [i10]Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher:
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. CoRR abs/2004.13332 (2020) - [i9]Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo:
Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees. CoRR abs/2010.14785 (2020) - [i8]Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik:
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations. CoRR abs/2012.04630 (2020)
2010 – 2019
- 2018
- [c10]Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik:
Pairwise Confusion for Fine-Grained Visual Classification. ECCV (12) 2018: 71-88 - [c9]Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Accelerating Neural Architecture Search using Performance Prediction. ICLR (Workshop) 2018 - [c8]Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Maximum-Entropy Fine Grained Classification. NeurIPS 2018: 635-645 - [i7]Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Maximum-Entropy Fine-Grained Classification. CoRR abs/1809.05934 (2018) - 2017
- [j2]Nikhil Naik, Scott Duke Kominers
, Ramesh Raskar, Edward L. Glaeser, César A. Hidalgo
:
Computer vision uncovers predictors of physical urban change. Proc. Natl. Acad. Sci. USA 114(29): 7571-7576 (2017) - [c7]Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar:
Designing Neural Network Architectures using Reinforcement Learning. ICLR (Poster) 2017 - [i6]Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik:
Training with Confusion for Fine-Grained Visual Classification. CoRR abs/1705.08016 (2017) - [i5]Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Practical Neural Network Performance Prediction for Early Stopping. CoRR abs/1705.10823 (2017) - 2016
- [c6]Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo
:
Deep Learning the City: Quantifying Urban Perception at a Global Scale. ECCV (1) 2016: 196-212 - [c5]Marco De Nadai
, Radu-Laurentiu Vieriu, Gloria Zen, Stefan Dragicevic, Nikhil Naik, Michele Caraviello, César Augusto Hidalgo
, Nicu Sebe
, Bruno Lepri:
Are Safer Looking Neighborhoods More Lively?: A Multimodal Investigation into Urban Life. ACM Multimedia 2016: 1127-1135 - [i4]Marco De Nadai
, Radu L. Vieriu, Gloria Zen, Stefan Dragicevic, Nikhil Naik, Michele Caraviello, César A. Hidalgo, Nicu Sebe, Bruno Lepri:
Are Safer Looking Neighborhoods More Lively? A Multimodal Investigation into Urban Life. CoRR abs/1608.00462 (2016) - [i3]Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo:
Deep Learning the City : Quantifying Urban Perception At A Global Scale. CoRR abs/1608.01769 (2016) - [i2]Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar:
Designing Neural Network Architectures using Reinforcement Learning. CoRR abs/1611.02167 (2016) - 2015
- [c4]Nikhil Naik, Achuta Kadambi, Christoph Rhemann, Shahram Izadi, Ramesh Raskar, Sing Bing Kang:
A light transport model for mitigating multipath interference in Time-of-flight sensors. CVPR 2015: 73-81 - [i1]Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar:
Coreset-Based Adaptive Tracking. CoRR abs/1511.06147 (2015) - 2014
- [c3]Nikhil Naik, Jade Philipoom, Ramesh Raskar, César A. Hidalgo
:
Streetscore - Predicting the Perceived Safety of One Million Streetscapes. CVPR Workshops 2014: 793-799 - 2012
- [c2]Di Wu, Gordon Wetzstein, Christopher Barsi, Thomas Willwacher, Matthew O'Toole, Nikhil Naik, Qionghai Dai, Kyros Kutulakos, Ramesh Raskar:
Frequency Analysis of Transient Light Transport with Applications in Bare Sensor Imaging. ECCV (1) 2012: 542-555 - 2011
- [j1]Nikhil Naik, Shuang Zhao
, Andreas Velten, Ramesh Raskar, Kavita Bala
:
Single view reflectance capture using multiplexed scattering and time-of-flight imaging. ACM Trans. Graph. 30(6): 171 (2011)
2000 – 2009
- 2009
- [c1]Nikhil Naik, Sanmay Patil, Madhuri Joshi:
A Scale Adaptive Tracker Using Hybrid Color Histogram Matching Scheme. ICETET 2009: 279-284
Coauthor Index
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