| 2024 | CVPR | 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 |
| 2024 | ECCV | BootPIG: Bootstrapping Zero-Shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. | Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik |
| 2023 | AISTATS | CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision. | Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez |
| 2023 | CVPR | EDICT: Exact Diffusion Inversion via Coupled Transformations. | Bram Wallace, Akash Gokul, Nikhil Naik |
| 2023 | ICCV | End-to-End Diffusion Latent Optimization Improves Classifier Guidance. | Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik |
| 2023 | WACV | PreViTS: Contrastive Pretraining with Video Tracking Supervision. | Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik |
| 2022 | CVPR | Can domain adaptation make object recognition work for everyone? | Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik |
| 2022 | SAFECOMP | ARACHNE: Automated Validation of Assurance Cases with Stochastic Contract Networks. | Chanwook Oh, Nikhil Naik, Zamira Daw, Timothy E. Wang, Pierluigi Nuzzo |
| 2021 | CVPR | CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. | Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik |
| 2020 | MEMOCODE | Robustness Contracts for Scalable Verification of Neural Network-Enabled Cyber-Physical Systems. | Nikhil Naik, Pierluigi Nuzzo |
| 2018 | ECCV | Pairwise Confusion for Fine-Grained Visual Classification. | Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik |
| 2018 | ICLR | Accelerating Neural Architecture Search using Performance Prediction. | Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik |
| 2017 | ICLR | Designing Neural Network Architectures using Reinforcement Learning. | Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar |
| 2016 | ECCV | Deep Learning the City: Quantifying Urban Perception at a Global Scale. | Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, Csar A. Hidalgo |
| 2015 | CVPR | 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 |
| 2014 | CVPR | Streetscore - Predicting the Perceived Safety of One Million Streetscapes. | Nikhil Naik, Jade Philipoom, Ramesh Raskar, Csar A. Hidalgo |
| 2012 | ECCV | 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 |