Nikhil Naik

According to our database, Nikhil Naik authored at least 37 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models.

Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik

CoRR, 2024

2023

Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.

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

npj Digit. Medicine, 2023

Diffusion Model Alignment Using Direct Preference Optimization.

Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik

CoRR, 2023

PreViTS: Contrastive Pretraining with Video Tracking Supervision.

Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image.

Senthil Purushwalkam, Nikhil Naik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

End-to-End Diffusion Latent Optimization Improves Classifier Guidance.

Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EDICT: Exact Diffusion Inversion via Coupled Transformations.

Bram Wallace, Akash Gokul, Nikhil Naik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision.

Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.

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

npj Digit. Medicine, 2022

ProGen2: Exploring the Boundaries of Protein Language Models.

Erik Nijkamp, Jeffrey Ruffolo, Eli N. Weinstein, Nikhil Naik, Ali Madani

CoRR, 2022

ARACHNE: Automated Validation of Assurance Cases with Stochastic Contract Networks.

Chanwook Oh, Nikhil Naik, Zamira Daw, Timothy E. Wang, Pierluigi Nuzzo

Proceedings of the Computer Safety, Reliability, and Security, 2022

Can domain adaptation make object recognition work for everyone?

Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Deep learning-enabled medical computer vision.

Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric J. Topol, Jeff Dean, Richard Socher

npj Digit. Medicine, 2021

CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations.

Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez

CoRR, 2021

Field Extraction from Forms with Unlabeled Data.

Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong, Ran Xu

CoRR, 2021

Deep Extrapolation for Attribute-Enhanced Generation.

Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CASTing Your Model: Learning To Localize Improves Self-Supervised Representations.

Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees.

Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo

CoRR, 2020

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies.

Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher

CoRR, 2020

ProGen: Language Modeling for Protein Generation.

Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher

CoRR, 2020

Improving out-of-distribution generalization via multi-task self-supervised pretraining.

Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher

CoRR, 2020

Robustness Contracts for Scalable Verification of Neural Network-Enabled Cyber-Physical Systems.

Nikhil Naik, Pierluigi Nuzzo

Proceedings of the 18th ACM/IEEE International Conference on Formal Methods and Models for System Design, 2020

2018

Maximum-Entropy Fine Grained Classification.

Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Accelerating Neural Architecture Search using Performance Prediction.

Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik

Proceedings of the 6th International Conference on Learning Representations, 2018

Pairwise Confusion for Fine-Grained Visual Classification.

Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Computer vision uncovers predictors of physical urban change.

Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser, César A. Hidalgo

Proc. Natl. Acad. Sci. USA, 2017

Training with Confusion for Fine-Grained Visual Classification.

Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik

CoRR, 2017

Practical Neural Network Performance Prediction for Early Stopping.

Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik

CoRR, 2017

Designing Neural Network Architectures using Reinforcement Learning.

Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Are Safer Looking Neighborhoods More Lively?: A Multimodal Investigation into Urban Life.

Marco De Nadai, Radu-Laurentiu Vieriu, Gloria Zen, Stefan Dragicevic, Nikhil Naik, Michele Caraviello, César Augusto Hidalgo, Nicu Sebe, Bruno Lepri

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Deep Learning the City: Quantifying Urban Perception at a Global Scale.

Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Coreset-Based Adaptive Tracking.

Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar

CoRR, 2015

A light transport model for mitigating multipath interference in Time-of-flight sensors.

Nikhil Naik, Achuta Kadambi, Christoph Rhemann, Shahram Izadi, Ramesh Raskar, Sing Bing Kang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Streetscore - Predicting the Perceived Safety of One Million Streetscapes.

Nikhil Naik, Jade Philipoom, Ramesh Raskar, César A. Hidalgo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012

Frequency Analysis of Transient Light Transport with Applications in Bare Sensor Imaging.

Di Wu, Gordon Wetzstein, Christopher Barsi, Thomas Willwacher, Matthew O'Toole, Nikhil Naik, Qionghai Dai, Kyros Kutulakos, Ramesh Raskar

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Single view reflectance capture using multiplexed scattering and time-of-flight imaging.

Nikhil Naik, Shuang Zhao, Andreas Velten, Ramesh Raskar, Kavita Bala

ACM Trans. Graph., 2011

2009

A Scale Adaptive Tracker Using Hybrid Color Histogram Matching Scheme.

Nikhil Naik, Sanmay Patil, Madhuri Joshi

Proceedings of the Second International Conference on Emerging Trends in Engineering & Technology, 2009