Nikhil Naik

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 42

Top Topics

Diffusion Models

Top Venues

npj Digit. Medicine

Publications

Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. CoRR (2024)
Senthil Purushwalkam, Nikhil Naik
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. NeurIPS (2023)
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 (2023)
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)
Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik
PreViTS: Contrastive Pretraining with Video Tracking Supervision. WACV (2023)
Bram Wallace, Akash Gokul, Nikhil Naik
EDICT: Exact Diffusion Inversion via Coupled Transformations. CVPR (2023)
Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision. AISTATS (2023)
Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik
End-to-End Diffusion Latent Optimization Improves Classifier Guidance. ICCV (2023)
Senthil Purushwalkam, Nikhil Naik
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. CoRR (2023)
Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik
End-to-End Diffusion Latent Optimization Improves Classifier Guidance. CoRR (2023)
Bram Wallace, Akash Gokul, Nikhil Naik
EDICT: Exact Diffusion Inversion via Coupled Transformations. CoRR (2022)
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)
Erik Nijkamp, Jeffrey Ruffolo, Eli N. Weinstein, Nikhil Naik, Ali Madani
ProGen2: Exploring the Boundaries of Protein Language Models. CoRR (2022)
Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik
Can domain adaptation make object recognition work for everyone? CVPR Workshops (2022)
Chanwook Oh, Nikhil Naik, Zamira Daw, Timothy E. Wang, Pierluigi Nuzzo
ARACHNE: Automated Validation of Assurance Cases with Stochastic Contract Networks. SAFECOMP (2022)
Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik
Can domain adaptation make object recognition work for everyone? CoRR (2022)
Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik
Deep Extrapolation for Attribute-Enhanced Generation. NeurIPS (2021)
Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong, Ran Xu
Field Extraction from Forms with Unlabeled Data. CoRR (2021)
Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik
Deep Extrapolation for Attribute-Enhanced Generation. CoRR (2021)
Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations. CoRR (2021)
Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik
CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. CVPR (2021)
Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric Topol, Jeff Dean, Richard Socher
Deep learning-enabled medical computer vision. npj Digit. Medicine 4 (2021)
Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik
PreViTS: Contrastive Pretraining with Video Tracking Supervision. CoRR (2021)
Nikhil Naik, Pierluigi Nuzzo
Robustness Contracts for Scalable Verification of Neural Network-Enabled Cyber-Physical Systems. MEMOCODE (2020)
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 (2020)
Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo
Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees. CoRR (2020)
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 (2020)
Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher
Improving out-of-distribution generalization via multi-task self-supervised pretraining. CoRR (2020)
Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations. CoRR (2020)
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik
Maximum-Entropy Fine-Grained Classification. CoRR (2018)
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik
Maximum-Entropy Fine Grained Classification. NeurIPS (2018)
Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik
Accelerating Neural Architecture Search using Performance Prediction. ICLR (Workshop) (2018)
Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik
Pairwise Confusion for Fine-Grained Visual Classification. ECCV (12) (2018)
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) (2017)
Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik
Training with Confusion for Fine-Grained Visual Classification. CoRR (2017)
Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar
Designing Neural Network Architectures using Reinforcement Learning. ICLR (Poster) (2017)
Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik
Practical Neural Network Performance Prediction for Early Stopping. CoRR (2017)
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)
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)
Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo
Deep Learning the City : Quantifying Urban Perception At A Global Scale. CoRR (2016)
Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar
Designing Neural Network Architectures using Reinforcement Learning. CoRR (2016)
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 (2016)
Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar
Coreset-Based Adaptive Tracking. CoRR (2015)
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)
Nikhil Naik, Jade Philipoom, Ramesh Raskar, César A. Hidalgo
Streetscore - Predicting the Perceived Safety of One Million Streetscapes. CVPR Workshops (2014)
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)
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) (2011)
Nikhil Naik, Sanmay Patil, Madhuri Joshi
A Scale Adaptive Tracker Using Hybrid Color Histogram Matching Scheme. ICETET (2009)