← Authors

Saining Xie

52 papers · 2015–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (78) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (10) πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (14) πŸš€ Conference Pioneer πŸ’Ž Century Club (52) ❓ The Questioner (4) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (169)

Conferences

CVPR (18) ICCV (12) ECCV (7) ICLR (7) ICML (3) NIPS (3) AISTATS (1) EMNLP (1)

Top co-authors

Kaiming He (8) Xinlei Chen (7) Zhuang Liu (6) Shengbang Tong (6) Christoph Feichtenhofer (5) Zhuowen Tu (5) Yann LeCun (5) Ross Girshick (5) Piotr DollΓ‘r (4) Jihan Yang (4)

Keywords

self-supervised learning (8) contrastive learning (7) convolutional neural network (6) representation learning (5) transfer learning (5) image classification (5) semantic segmentation (4) generative model (4) multimodal large language model (4) multimodal learning (4) large language model (4) vision transformer (3) neural architecture search (3) visual grounding (3) vision language model (3) vision-language model (3) image generation (3) visual representation learning (3) autoregressive model (2) diffusion model (2)

Papers

PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop ICML 2025
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training ICML 2025
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark ICLR 2025
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing ICLR 2025
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces CVPR 2025
Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis CVPR 2025
Scaling Inference Time Compute for Diffusion Models CVPR 2025
On Scaling Up 3D Gaussian Splatting Training ICLR 2025
Deconstructing Denoising Diffusion Models for Self-Supervised Learning ICLR 2025
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think ICLR 2025
Scaling Language-Free Visual Representation Learning ICCV 2025
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning ICCV 2025
REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion Transformers ICCV 2025
Science-T2I: Addressing Scientific Illusions in Image Synthesis CVPR 2025
Fast Encoding and Decoding for Implicit Video Representation ECCV 2024
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs NIPS 2024
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning NIPS 2024
Image Sculpting: Precise Object Editing with 3D Geometry Control CVPR 2024
MoDE: CLIP Data Experts via Clustering CVPR 2024
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024
V?: Guided Visual Search as a Core Mechanism in Multimodal LLMs CVPR 2024
V-IRL: Grounding Virtual Intelligence in Real Life ECCV 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers ECCV 2024
Altogether: Image Captioning via Re-aligning Alt-text EMNLP 2024
Demystifying CLIP Data ICLR 2024
CiT: Curation in Training for Effective Vision-Language Data ICCV 2023
ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders CVPR 2023
Scalable Diffusion Models with Transformers ICCV 2023
Going Denser with Open-Vocabulary Part Segmentation ICCV 2023
SLIP: Self-Supervision Meets Language-Image Pre-training ECCV 2022
A ConvNet for the 2020s CVPR 2022
Masked Autoencoders Are Scalable Vision Learners CVPR 2022
Masked Feature Prediction for Self-Supervised Visual Pre-Training CVPR 2022
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts CVPR 2021
Pri3D: Can 3D Priors Help 2D Representation Learning? ICCV 2021
An Empirical Study of Training Self-Supervised Vision Transformers ICCV 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness NIPS 2021
Graph Structure of Neural Networks ICML 2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions CVPR 2020
Momentum Contrast for Unsupervised Visual Representation Learning CVPR 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding ECCV 2020
Are Labels Necessary for Neural Architecture Search? ECCV 2020
Decoupling Representation and Classifier for Long-Tailed Recognition ICLR 2020
Order-Aware Generative Modeling Using the 3D-Craft Dataset ICCV 2019
Exploring Randomly Wired Neural Networks for Image Recognition ICCV 2019
On Network Design Spaces for Visual Recognition ICCV 2019
Attentional ShapeContextNet for Point Cloud Recognition CVPR 2018
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification ECCV 2018
Aggregated Residual Transformations for Deep Neural Networks CVPR 2017
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification CVPR 2015
Holistically-Nested Edge Detection ICCV 2015
Deeply-Supervised Nets AISTATS 2015