Krishnan, Dilip

33 publications

ECCV 2024 Denoising Vision Transformers Jiawei Yang, Katie Z Luo, Jiefeng Li, Congyue Deng, Leonidas Guibas, Dilip Krishnan, Kilian Weinberger, Yonglong Tian, Yue Wang

CVPR 2024 Learning Vision from Models Rivals Learning Vision from Data Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola

ICLR 2024 Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan

CVPR 2024 Scaling Laws of Synthetic Images for Model Training ... for Now Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian

NeurIPS 2023 Improving CLIP Training with Language Rewrites Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian

CVPR 2023 MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis Tianhong Li, Huiwen Chang, Shlok Mishra, Han Zhang, Dina Katabi, Dilip Krishnan

ICML 2023 Muse: Text-to-Image Generation via Masked Generative Transformers Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan

NeurIPSW 2023 Probing the Equivariance of Image Embeddings Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins

NeurIPS 2023 StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan

NeurIPS 2023 StyleDrop: Text-to-Image Synthesis of Any Style Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan A. Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

TMLR 2022 Object-Aware Cropping for Self-Supervised Learning Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit K Anjaria, Abhyuday Narayan Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan

CVPR 2022 Pyramid Adversarial Training Improves ViT Performance Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun

ICML 2021 Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C Mozer

ECCV 2020 Contrastive Multiview Coding Yonglong Tian, Dilip Krishnan, Phillip Isola

ICLR 2020 Contrastive Representation Distillation Yonglong Tian, Dilip Krishnan, Phillip Isola

ICLR 2020 Fantastic Generalization Measures and Where to Find Them Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio

ECCV 2020 Rethinking Few-Shot Image Classification: A Good Embedding Is All You Need? Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola

NeurIPS 2020 Supervised Contrastive Learning Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan

NeurIPS 2020 What Makes for Good Views for Contrastive Learning? Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola

NeurIPS 2019 Adversarial Robustness Through Local Linearization Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli

ICLR 2019 Predicting the Generalization Gap in Deep Networks with Margin Distributions Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio

NeurIPS 2018 Large Margin Deep Networks for Classification Gamaleldin Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio

CVPR 2017 Synthesizing Normalized Faces from Facial Identity Features Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman

CVPR 2017 Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan

NeurIPS 2016 Domain Separation Networks Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan

ICCV 2015 Learning Ordinal Relationships for Mid-Level Vision Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman

CVPR 2015 Reflection Removal Using Ghosting Cues YiChang Shih, Dilip Krishnan, Fredo Durand, William T. Freeman

ECCV 2014 Crisp Boundary Detection Using Pointwise Mutual Information Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson

NeurIPS 2014 Shape and Illumination from Shading Using the Generic Viewpoint Assumption Daniel Zoran, Dilip Krishnan, José Bento, Bill Freeman

ICCV 2013 Restoring an Image Taken Through a Window Covered with Dirt or Rain David Eigen, Dilip Krishnan, Rob Fergus

CVPR 2011 Blind Deconvolution Using a Normalized Sparsity Measure Dilip Krishnan, Terence Tay, Rob Fergus

CVPR 2010 Deconvolutional Networks Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus

NeurIPS 2009 Fast Image Deconvolution Using Hyper-Laplacian Priors Dilip Krishnan, Rob Fergus