Nikhil Naik - RankMe

20 papers A* 5A 2Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	BootPIG: Bootstrapping Zero-Shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. ECCV Workshops (20) Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik
2024	J	`jnl`	BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models. CoRR Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik
2024	A*	`conf`	Diffusion Model Alignment Using Direct Preference Optimization. CVPR Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik
2023	A	`conf`	CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision. AISTATS Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez
2023	A*	`conf`	ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. NeurIPS Senthil Purushwalkam, Nikhil Naik
2023	J	`jnl`	ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image. CoRR Senthil Purushwalkam, Nikhil Naik
2023	J	`jnl`	Diffusion Model Alignment Using Direct Preference Optimization. CoRR Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik
2023	A*	`conf`	EDICT: Exact Diffusion Inversion via Coupled Transformations. CVPR Bram Wallace, Akash Gokul, Nikhil Naik
2023	A*	`conf`	End-to-End Diffusion Latent Optimization Improves Classifier Guidance. ICCV Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik
2023	J	`jnl`	End-to-End Diffusion Latent Optimization Improves Classifier Guidance. CoRR Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik
2023	A	`conf`	PreViTS: Contrastive Pretraining with Video Tracking Supervision. WACV Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik
2022	—	`conf`	Can domain adaptation make object recognition work for everyone? CVPR Workshops Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik
2022	J	`jnl`	Can domain adaptation make object recognition work for everyone? CoRR Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik
2022	J	`jnl`	EDICT: Exact Diffusion Inversion via Coupled Transformations. CoRR Bram Wallace, Akash Gokul, Nikhil Naik
2021	A*	`conf`	CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. CVPR Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik
2021	J	`jnl`	CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations. CoRR Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez
2021	J	`jnl`	Field Extraction from Forms with Unlabeled Data. CoRR Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong, Ran Xu
2021	J	`jnl`	PreViTS: Contrastive Pretraining with Video Tracking Supervision. CoRR Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik
2020	J	`jnl`	CASTing Your Model: Learning to Localize Improves Self-Supervised Representations. CoRR Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik
2009	—	`conf`	A Scale Adaptive Tracker Using Hybrid Color Histogram Matching Scheme. ICETET Nikhil Naik, Sanmay Patil, Madhuri Joshi