Dilip Krishnan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
8
Active years
1996–2024
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | Scaling Laws of Synthetic Images for Model Training ... for Now. | Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian |
| 2024 | CVPR | Learning Vision from Models Rivals Learning Vision from Data. | Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola |
| 2024 | ECCV | Denoising Vision Transformers. | Jiawei Yang, Katie Z. Luo, Jiefeng Li, Congyue Deng, Leonidas J. Guibas, Dilip Krishnan, Kilian Q. Weinberger, Yonglong Tian, Yue Wang |
| 2024 | ICLR | 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 |
| 2023 | CVPR | MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. | Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan |
| 2023 | ICML | Muse: Text-To-Image Generation via Masked Generative Transformers. | Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jos Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan |
| 2022 | CVPR | Pyramid Adversarial Training Improves ViT Performance. | Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun |
| 2021 | ICML | Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers. | Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer |
| 2020 | ECCV | Contrastive Multiview Coding. | Yonglong Tian, Dilip Krishnan, Phillip Isola |
| 2020 | ECCV | Rethinking Few-Shot Image Classification: A Good Embedding is All You Need? | Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola |
| 2020 | ICLR | Fantastic Generalization Measures and Where to Find Them. | Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio |
| 2020 | ICLR | Contrastive Representation Distillation. | Yonglong Tian, Dilip Krishnan, Phillip Isola |
| 2019 | ICCV | Boundless: Generative Adversarial Networks for Image Extension. | Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman |
| 2019 | ICLR | Predicting the Generalization Gap in Deep Networks with Margin Distributions. | Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio |
| 2018 | CVPR | Sparse, Smart Contours to Represent and Edit Images. | Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman |
| 2017 | CVPR | Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks. | Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan |
| 2017 | CVPR | Synthesizing Normalized Faces from Facial Identity Features. | Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman |
| 2017 | KDD | Learning to Count Mosquitoes for the Sterile Insect Technique. | Yaniv Ovadia, Yoni Halpern, Dilip Krishnan, Josh Livni, Daniel E. Newburger, Ryan Poplin, Tiantian Zha, D. Sculley |
| 2015 | CVPR | Reflection removal using ghosting cues. | Yichang Shih, Dilip Krishnan, Frdo Durand, William T. Freeman |
| 2015 | ICCV | Learning Ordinal Relationships for Mid-Level Vision. | Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman |
| 2014 | ECCV | Crisp Boundary Detection Using Pointwise Mutual Information. | Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson |
| 2013 | ICCV | Restoring an Image Taken through a Window Covered with Dirt or Rain. | David Eigen, Dilip Krishnan, Rob Fergus |
| 2011 | CVPR | Blind deconvolution using a normalized sparsity measure. | Dilip Krishnan, Terence Tay, Rob Fergus |
| 2010 | CVPR | Deconvolutional networks. | Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus |
| 1999 | ICIP | A MRF Model Based Scheme for Accurate Detection and Adaptive Interpolation of Missing Data in Highly Corrupted Image Sequences. | Showbhik Kalra, Dilip Krishnan, Man-Nang Chong |
| 1997 | ICASSP | A new spatio-temporal MRF model for the detection of missing data in image sequences. | Man-Nang Chong, P. Liu, Wooi Boon Goh, Dilip Krishnan |
| 1997 | ICASSP | A new auto-regressive (AR) model-based algorithm for motion picture restoration. | Showbhik Kalra, Man-Nang Chong, Dilip Krishnan |
| 1996 | ICASSP | Bi-directional 3D auto-regressive model approach to motion picture restoration. | Wooi Boon Goh, Man-Nang Chong, Showbhik Kalra, Dilip Krishnan |