Dilip Krishnan

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

Achievements

+15 more ↓

🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (15)

🏃 Academic Marathon (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (4) 🧬 Topic Evolution 🏆 Keyword Champion (3) 🌱 Topic Pioneer 🤝 Dynamic Duo (11) 💎 Century Club (30) ❓ The Questioner (2) 🗃️ Keyword Collector (118) ⚡ Prolific Year (6) 📈 Trend Setter 🔥 Unstoppable (12) 🚀 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