Krishnan, Dilip

Supervised Contrastive Learning

Khosla, P., Teterwak, P., Wang, C., Sarna, A., Tian, Y., Isola, P., Maschinot, A., Liu, C., & Krishnan, D. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 3,569

Contrastive Multiview Coding

Tian, Y., Krishnan, D., & Isola, P. (2020) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,997

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Bousmalis, K., Silberman, N., Dohan, D., Erhan, D., & Krishnan, D. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis

Cited by 1,603

Domain separation networks

Bousmalis, K., Trigeorgis, G., Silberman, N., Krishnan, D., & Erhan, D. (2016) · arXiv

Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis

Cited by 1,208

Blind deconvolution using a normalized sparsity measure

Krishnan, D., Tay, T., & Fergus, R. (2011) · CVPR 2011

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 1,119

Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?

Tian, Y., Wang, Y., Krishnan, D., Tenenbaum, J. B., & Isola, P. (2020) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 952

What makes for good views for contrastive learning

Tian, Y., Sun, C., Poole, B., Krishnan, D., Schmid, C., & Isola, P. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 773

Contrastive Multiview Coding

Tian, Y., Krishnan, D., & Isola, P. (2019) · arXiv

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 465

Restoring an Image Taken through a Window Covered with Dirt or Rain

Eigen, D., Krishnan, D., & Fergus, R. (2013) · 2013 IEEE International Conference on Computer Vision

Image Enhancement TechniquesAdvanced Image Processing Techniques

Cited by 454

Crisp Boundary Detection Using Pointwise Mutual Information

Isola, P., Zoran, D., Krishnan, D., & Adelson, E. H. (2014) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 199

Muse: Text-To-Image Generation via Masked Generative Transformers

Chang, H., Zhang, H., Barber, J., Maschinot, A., Lezama, J., Jiang, L., Yang, M.-H., Murphy, K., Freeman, W. T., Rubinstein, M., et al. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 157

Learning visual groups from co-occurrences in space and time

Isola, P., Zoran, D., Krishnan, D., & Adelson, E. H. (2015) · arXiv

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 90

Improving CLIP Training with Language Rewrites

Fan, L., Krishnan, D., Isola, P., Katabi, D., & Tian, Y. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 74

Scaling Laws of Synthetic Images for Model Training … for Now

Fan, L., Chen, K., Krishnan, D., Katabi, D., Isola, P., & Tian, Y. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 46