Dilip Krishnan

85 papers A* 26Misc 3Journal 46Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	JESTR: Joint Embedding Space Technique for Ranking candidate molecules for the annotation of untargeted metabolomics data. Bioinform. Apurva Kalia, Yan Zhou Chen, Dilip Krishnan, Soha Hassoun
2024	—	`conf`	Denoising Vision Transformers. ECCV (85) Jiawei Yang, Katie Z. Luo, Jiefeng Li, Congyue Deng, Leonidas J. Guibas, Dilip Krishnan, Kilian Q. Weinberger, Yonglong Tian, Yue Wang
2024	J	`jnl`	JESTR: Joint Embedding Space Technique for Ranking Candidate Molecules for the Annotation of Untargeted Metabolomics Data. CoRR Apurva Kalia, Dilip Krishnan, Soha Hassoun
2024	A*	`conf`	Learning Vision from Models Rivals Learning Vision from Data. CVPR Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola
2024	A*	`conf`	Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. ICLR Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
2024	A*	`conf`	Scaling Laws of Synthetic Images for Model Training ... for Now. CVPR Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian
2023	J	`jnl`	CSI: Contrastive data Stratification for Interaction prediction and its application to compound-protein interaction prediction. Bioinform. Apurva Kalia, Dilip Krishnan, Soha Hassoun
2023	J	`jnl`	Improve Supervised Representation Learning with Masked Image Modeling. CoRR Kaifeng Chen, Daniel Salz, Huiwen Chang, Kihyuk Sohn, Dilip Krishnan, Mojtaba Seyedhosseini
2023	A*	`conf`	Improving CLIP Training with Language Rewrites. NeurIPS Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian
2023	J	`jnl`	Improving CLIP Training with Language Rewrites. CoRR Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian
2023	J	`jnl`	Learning Vision from Models Rivals Learning Vision from Data. CoRR Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola
2023	J	`jnl`	Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. CoRR Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
2023	A*	`conf`	MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CVPR Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan
2023	A*	`conf`	Muse: Text-To-Image Generation via Masked Generative Transformers. ICML Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
2023	J	`jnl`	Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
2023	J	`jnl`	Scaling Laws of Synthetic Images for Model Training ... for Now. CoRR Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian
2023	A*	`conf`	StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners. NeurIPS Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
2023	J	`jnl`	StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners. CoRR Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
2023	J	`jnl`	Steerable Equivariant Representation Learning. CoRR Sangnie Bhardwaj, Willie McClinton, Tongzhou Wang, Guillaume Lajoie, Chen Sun, Phillip Isola, Dilip Krishnan
2023	J	`jnl`	StyleDrop: Text-to-Image Generation in Any Style. CoRR Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan
2023	A*	`conf`	StyleDrop: Text-to-Image Synthesis of Any Style. NeurIPS Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin
2023	J	`jnl`	Substance or Style: What Does Your Image Embedding Know? CoRR Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins
2022	J	`jnl`	A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. CoRR Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan
2022	J	`jnl`	MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CoRR Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan
2022	J	`jnl`	Object-aware Cropping for Self-Supervised Learning. Trans. Mach. Learn. Res. Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan
2022	A*	`conf`	Pyramid Adversarial Training Improves ViT Performance. CVPR Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
2021	J	`jnl`	Contrastive Multiview Coding for Enzyme-Substrate Interaction Prediction. CoRR Apurva Kalia, Dilip Krishnan, Soha Hassoun
2021	J	`jnl`	Object-Aware Cropping for Self-Supervised Learning. CoRR Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan
2021	J	`jnl`	Pyramid Adversarial Training Improves ViT Performance. CoRR Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
2021	A*	`conf`	Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers. ICML Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer
2021	J	`jnl`	Understanding invariance via feedforward inversion of discriminatively trained classifiers. CoRR Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer
2021	J	`jnl`	Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions. CoRR Andrea Burns, Aaron Sarna, Dilip Krishnan, Aaron Maschinot
2020	—	`conf`	Contrastive Multiview Coding. ECCV (11) Yonglong Tian, Dilip Krishnan, Phillip Isola
2020	A*	`conf`	Contrastive Representation Distillation. ICLR Yonglong Tian, Dilip Krishnan, Phillip Isola
2020	A*	`conf`	Fantastic Generalization Measures and Where to Find Them. ICLR Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio
2020	—	`conf`	Rethinking Few-Shot Image Classification: A Good Embedding is All You Need? ECCV (14) Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola
2020	J	`jnl`	Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? CoRR Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola
2020	A*	`conf`	Supervised Contrastive Learning. NeurIPS Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
2020	J	`jnl`	Supervised Contrastive Learning. CoRR Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
2020	A*	`conf`	What Makes for Good Views for Contrastive Learning? NeurIPS Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola
2020	J	`jnl`	What makes for good views for contrastive learning. CoRR Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola
2019	J	`jnl`	A Closed-Form Learned Pooling for Deep Classification Networks. CoRR Vighnesh Birodkar, Hossein Mobahi, Dilip Krishnan, Samy Bengio
2019	A*	`conf`	Adversarial Robustness through Local Linearization. NeurIPS Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	Adversarial Robustness through Local Linearization. CoRR Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	A*	`conf`	Boundless: Generative Adversarial Networks for Image Extension. ICCV Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman
2019	J	`jnl`	Boundless: Generative Adversarial Networks for Image Extension. CoRR Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman
2019	J	`jnl`	Contrastive Multiview Coding. CoRR Yonglong Tian, Dilip Krishnan, Phillip Isola
2019	J	`jnl`	Contrastive Representation Distillation. CoRR Yonglong Tian, Dilip Krishnan, Phillip Isola
2019	J	`jnl`	Fantastic Generalization Measures and Where to Find Them. CoRR Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio
2019	—	`conf`	Predicting the Generalization Gap in Deep Networks with Margin Distributions. ICLR (Poster) Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio
2018	A*	`conf`	Large Margin Deep Networks for Classification. NeurIPS Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio
2018	J	`jnl`	Large Margin Deep Networks for Classification. CoRR Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio
2018	J	`jnl`	Predicting the Generalization Gap in Deep Networks with Margin Distributions. CoRR Yiding Jiang, Dilip Krishnan, Hossein Mobahi, Samy Bengio
2018	A*	`conf`	Sparse, Smart Contours to Represent and Edit Images. CVPR Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman
2018	J	`jnl`	Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow. IEEE Trans. Vis. Comput. Graph. Kanit Wongsuphasawat, Daniel Smilkov, James Wexler, Jimbo Wilson, Dandelion Mané, Doug Fritz, Dilip Krishnan, Fernanda B. Viégas, Martin Wattenberg
2017	J	`jnl`	Face Synthesis from Facial Identity Features. CoRR Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman
2017	A*	`conf`	Learning to Count Mosquitoes for the Sterile Insect Technique. KDD Yaniv Ovadia, Yoni Halpern, Dilip Krishnan, Josh Livni, Daniel E. Newburger, Ryan Poplin, Tiantian Zha, D. Sculley
2017	J	`jnl`	Smart, Sparse Contours to Represent and Edit Images. CoRR Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman
2017	A*	`conf`	Synthesizing Normalized Faces from Facial Identity Features. CVPR Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman
2017	A*	`conf`	Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks. CVPR Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan
2016	—	`conf`	Domain Separation Networks. NIPS Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan
2016	J	`jnl`	Domain Separation Networks. CoRR Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan
2016	J	`jnl`	Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks. CoRR Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan
2015	A*	`conf`	Learning Ordinal Relationships for Mid-Level Vision. ICCV Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman
2015	J	`jnl`	Learning visual groups from co-occurrences in space and time. CoRR Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson
2015	A*	`conf`	Reflection removal using ghosting cues. CVPR Yichang Shih, Dilip Krishnan, Frédo Durand, William T. Freeman
2014	—	`conf`	Crisp Boundary Detection Using Pointwise Mutual Information. ECCV (3) Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson
2014	—	`conf`	Shape and Illumination from Shading using the Generic Viewpoint Assumption. NIPS Daniel Zoran, Dilip Krishnan, José Bento, Bill Freeman
2013	J	`jnl`	Blind Deconvolution with Re-weighted Sparsity Promotion. CoRR Dilip Krishnan, Joan Bruna, Rob Fergus
2013	J	`jnl`	Efficient preconditioning of laplacian matrices for computer graphics. ACM Trans. Graph. Dilip Krishnan, Raanan Fattal, Richard Szeliski
2013	—	`—`	Low-level Image Priors and Laplacian Preconditioners for Applications in Computer Graphics and Computational Photography. Dilip Krishnan
2013	A*	`conf`	Restoring an Image Taken through a Window Covered with Dirt or Rain. ICCV David Eigen, Dilip Krishnan, Rob Fergus
2011	A*	`conf`	Blind deconvolution using a normalized sparsity measure. CVPR Dilip Krishnan, Terence Tay, Rob Fergus
2011	J	`jnl`	Multigrid and multilevel preconditioners for computational photography. ACM Trans. Graph. Dilip Krishnan, Richard Szeliski
2010	A*	`conf`	Deconvolutional networks. CVPR Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus
2009	J	`jnl`	A primal-dual active-set algorithm for bilaterally constrained total variation deblurring and piecewise constant Mumford-Shah segmentation problems. Adv. Comput. Math. Dilip Krishnan, Quang Vinh Pham, Andy M. Yip
2009	J	`jnl`	Dark flash photography. ACM Trans. Graph. Dilip Krishnan, Rob Fergus
2009	—	`conf`	Fast Image Deconvolution using Hyper-Laplacian Priors. NIPS Dilip Krishnan, Rob Fergus
2007	J	`jnl`	A Primal-Dual Active-Set Method for Non-Negativity Constrained Total Variation Deblurring Problems. IEEE Trans. Image Process. Dilip Krishnan, Ping Lin, Andy M. Yip
1999	—	`conf`	A MRF Model Based Scheme for Accurate Detection and Adaptive Interpolation of Missing Data in Highly Corrupted Image Sequences. ICIP (2) Showbhik Kalra, Dilip Krishnan, Man-Nang Chong
1999	J	`jnl`	On the computational aspects of Gibbs-Markov random field modeling of missing-data in image sequences. IEEE Trans. Image Process. Dilip Krishnan, Man-Nang Chong, Showbhik Kalra
1998	J	`jnl`	An edge-preserving MRF model for the detection of missing data in image sequences. IEEE Signal Process. Lett. Man-Nang Chong, Dilip Krishnan
1997	Misc	`conf`	A new auto-regressive (AR) model-based algorithm for motion picture restoration. ICASSP Showbhik Kalra, Man-Nang Chong, Dilip Krishnan
1997	Misc	`conf`	A new spatio-temporal MRF model for the detection of missing data in image sequences. ICASSP Man-Nang Chong, P. Liu, Wooi Boon Goh, Dilip Krishnan
1996	Misc	`conf`	Bi-directional 3D auto-regressive model approach to motion picture restoration. ICASSP Wooi Boon Goh, Man-Nang Chong, Showbhik Kalra, Dilip Krishnan