Yonglong Tian
35 papers · 2014–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π Conference Polyglot (8) π Academic Marathon (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(44)
π
Triple Crown
π€
Dynamic Duo
(11)
π§¬
Topic Evolution
π
Grand Slam
π
Century Club
(35)
β‘
Prolific Year
(7)
β
The Questioner
(3)
ποΈ
Keyword Collector
(112)
π₯
Unstoppable
(8)
Conferences
ICLR (9)
CVPR (8)
NIPS (7)
ECCV (3)
ICCV (3)
ICML (3)
AAAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
contrastive learning
(8)
representation learning
(6)
self-supervised learning
(4)
pedestrian detection
(3)
transfer learning
(3)
synthetic image
(3)
text-to-image model
(3)
diffusion model
(2)
semantic segmentation
(2)
convolutional neural network
(2)
vision-language model
(2)
visual representation
(2)
object detection
(2)
knowledge distillation
(2)
deep learning
(2)
image retrieval
(1)
embedding space
(1)
pose estimation
(1)
zero-shot learning
(1)
image generation
(1)
Papers
Personalized Representation from Personalized Generation
ICLR 2025
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
ICLR 2025
Vision-Language Models Do Not Understand Negation
CVPR 2025
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
ICLR 2024
Autoregressive Image Generation without Vector Quantization
NIPS 2024
Self-Correcting Self-Consuming Loops for Generative Model Training
ICML 2024
Scaling Laws of Synthetic Images for Model Training ... for Now
CVPR 2024
Learning Vision from Models Rivals Learning Vision from Data
CVPR 2024
Denoising Vision Transformers
ECCV 2024
Addressing Feature Suppression in Unsupervised Visual Representations
WACV 2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
ICML 2023
Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
ICLR 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
NIPS 2023
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
ICLR 2023
Restart Sampling for Improving Generative Processes
NIPS 2023
Improving CLIP Training with Language Rewrites
NIPS 2023
Unsupervised Learning of Shape Programs with Repeatable Implicit Parts
NIPS 2022
Generative Models as a Data Source for Multiview Representation Learning
ICLR 2022
Co-Advise: Cross Inductive Bias Distillation
CVPR 2022
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
AAAI 2022
Divide and Contrast: Self-Supervised Learning From Uncurated Data
ICCV 2021
Composable Augmentation Encoding for Video Representation Learning
ICCV 2021
Rethinking Few-shot Image Classification: A Good Embedding is All You Need?
ECCV 2020
Supervised Contrastive Learning
NIPS 2020
Contrastive Multiview Coding
ECCV 2020
What Makes for Good Views for Contrastive Learning?
NIPS 2020
Contrastive Representation Distillation
ICLR 2020
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
ICLR 2019
Learning to Infer and Execute 3D Shape Programs
ICLR 2019
Representation Learning on Graphs with Jumping Knowledge Networks
ICML 2018
Through-Wall Human Pose Estimation Using Radio Signals
CVPR 2018
Deep Learning Strong Parts for Pedestrian Detection
ICCV 2015
Pedestrian Detection Aided by Deep Learning Semantic Tasks
CVPR 2015
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
CVPR 2015
Switchable Deep Network for Pedestrian Detection
CVPR 2014