Yonglong Tian

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens ICLR 2025 Personalized Representation from Personalized Generation ICLR 2025 Vision-Language Models Do Not Understand Negation CVPR 2025 Autoregressive Image Generation without Vector Quantization NeurIPS 2024 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 Self-Correcting Self-Consuming Loops for Generative Model Training ICML 2024 Addressing Feature Suppression in Unsupervised Visual Representations WACV 2023 Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? ICLR 2023 Improving CLIP Training with Language Rewrites NeurIPS 2023 PFGM++: Unlocking the Potential of Physics-Inspired Generative Models ICML 2023 Restart Sampling for Improving Generative Processes NeurIPS 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 NeurIPS 2023 Co-Advise: Cross Inductive Bias Distillation CVPR 2022 Generative Models as a Data Source for Multiview Representation Learning ICLR 2022 Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate AAAI 2022 Unsupervised Learning of Shape Programs with Repeatable Implicit Parts NeurIPS 2022 Composable Augmentation Encoding for Video Representation Learning ICCV 2021 Divide and Contrast: Self-Supervised Learning From Uncurated Data ICCV 2021 Contrastive Multiview Coding ECCV 2020 Contrastive Representation Distillation 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 Learning to Infer and Execute 3D Shape Programs ICLR 2019 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees ICLR 2019 Representation Learning on Graphs with Jumping Knowledge Networks ICML 2018 Through-Wall Human Pose Estimation Using Radio Signals CVPR 2018 DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection CVPR 2015 Deep Learning Strong Parts for Pedestrian Detection ICCV 2015 Pedestrian Detection Aided by Deep Learning Semantic Tasks CVPR 2015 Switchable Deep Network for Pedestrian Detection CVPR 2014