default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNikhil Naik
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c21]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. CVPR 2024: 8228-8238- [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-13 17:57 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
