Dilip Krishnan
30 papers · 2009–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (57) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(6)
π€
Dynamic Duo
(11)
π§¬
Topic Evolution
π
Keyword Champion
π§
Keyword Pioneer
β‘
Prolific Year Β· Productive
π
Trend Setter
π₯
Unstoppable Β· Silver
β
The Questioner
(2)
ποΈ
Keyword Collector
(141)
π
Conference Pioneer
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(21)
Deep Learning
(19)
Computer Vision
(18)
Learning Types Β· Machine Learning
(14)
Core Methods
(10)
Models
(10)
Generation
(9)
Learning Types Β· Deep Learning
(8)
Application Areas
(6)
Architectures
(6)
Processing
(6)
Artificial Intelligence
(5)
Optimization & Theory
(5)
Analysis
(4)
Core AI
(4)
Keywords
representation learning
(7)
contrastive learning
(7)
generative adversarial network
(3)
synthetic image
(3)
image generation
(3)
self-supervised learning
(3)
neural network
(3)
vision-language model
(3)
image restoration
(3)
adversarial robustness
(3)
image reconstruction
(3)
text-to-image model
(3)
convolutional neural network
(2)
decision boundary
(2)
visual representation
(2)
data augmentation
(2)
image editing
(2)
domain adaptation
(2)
vision transformer
(2)
transfer learning
(2)
Papers
Denoising Vision Transformers
ECCV 2024
Learning Vision from Models Rivals Learning Vision from Data
CVPR 2024
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
ICLR 2024
Scaling Laws of Synthetic Images for Model Training ... for Now
CVPR 2024
Improving CLIP Training with Language Rewrites
NeurIPS 2023
MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis
CVPR 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
ICML 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
NeurIPS 2023
StyleDrop: Text-to-Image Synthesis of Any Style
NeurIPS 2023
Pyramid Adversarial Training Improves ViT Performance
CVPR 2022
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
ICML 2021
Contrastive Multiview Coding
ECCV 2020
Contrastive Representation Distillation
ICLR 2020
Fantastic Generalization Measures and Where to Find Them
ICLR 2020
Rethinking Few-shot Image Classification: A Good Embedding is All You Need?
ECCV 2020
Supervised Contrastive Learning
NeurIPS 2020
What Makes for Good Views for Contrastive Learning?
NeurIPS 2020
Adversarial Robustness through Local Linearization
NeurIPS 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
NeurIPS 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
NeurIPS 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
NeurIPS 2014
Restoring an Image Taken through a Window Covered with Dirt or Rain
ICCV 2013
Fast Image Deconvolution using Hyper-Laplacian Priors
NeurIPS 2009