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Dilip Krishnan

30 papers · 2009–2024 · 6 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (53) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (4) 🧬 Topic Evolution πŸ† Keyword Champion (3) 🌱 Topic Pioneer 🀝 Dynamic Duo (11) πŸ’Ž Century Club (30) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (118) ⚑ Prolific Year (6) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (12) πŸš€ Conference Pioneer

Conferences

NIPS (10) CVPR (8) ICLR (4) ECCV (3) ICCV (3) ICML (2)

Top co-authors

Yonglong Tian (11) Phillip Isola (10) Huiwen Chang (6) William T. Freeman (6) Dina Katabi (5) Ce Liu (4) Lijie Fan (4) Hossein Mobahi (3) Samy Bengio (3) Lu Jiang (3)

Research topics

Core AI (1)

Keywords

representation learning (6) contrastive learning (6) text-to-image model (3) adversarial robustness (3) image restoration (3) generative adversarial network (3) self-supervised learning (3) image reconstruction (3) synthetic image (3) transfer learning (2) convolutional neural network (2) unsupervised learning (2) neural network (2) image generation (2) adversarial training (2) data augmentation (2) domain adaptation (2) image editing (2) visual representation (2) variational inference (1)

Papers

Scaling Laws of Synthetic Images for Model Training ... for Now CVPR 2024
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency ICLR 2024
Denoising Vision Transformers ECCV 2024
Learning Vision from Models Rivals Learning Vision from Data CVPR 2024
Muse: Text-To-Image Generation via Masked Generative Transformers ICML 2023
Improving CLIP Training with Language Rewrites NIPS 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners NIPS 2023
StyleDrop: Text-to-Image Synthesis of Any Style NIPS 2023
MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis CVPR 2023
Pyramid Adversarial Training Improves ViT Performance CVPR 2022
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers ICML 2021
Rethinking Few-shot Image Classification: A Good Embedding is All You Need? ECCV 2020
Contrastive Multiview Coding ECCV 2020
Fantastic Generalization Measures and Where to Find Them ICLR 2020
What Makes for Good Views for Contrastive Learning? NIPS 2020
Supervised Contrastive Learning NIPS 2020
Contrastive Representation Distillation ICLR 2020
Adversarial Robustness through Local Linearization NIPS 2019
Boundless: Generative Adversarial Networks for Image Extension ICCV 2019
Predicting the Generalization Gap in Deep Networks with Margin Distributions ICLR 2019
Large Margin Deep Networks for Classification NIPS 2018
Sparse, Smart Contours to Represent and Edit Images CVPR 2018
Synthesizing Normalized Faces From Facial Identity Features CVPR 2017
Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks CVPR 2017
Domain Separation Networks NIPS 2016
Learning Ordinal Relationships for Mid-Level Vision ICCV 2015
Reflection Removal Using Ghosting Cues CVPR 2015
Shape and Illumination from Shading using the Generic Viewpoint Assumption NIPS 2014
Restoring an Image Taken through a Window Covered with Dirt or Rain ICCV 2013
Fast Image Deconvolution using Hyper-Laplacian Priors NIPS 2009