Saining Xie
Assistant Professor of Computer Science
Studies computer vision and representation learning, including visual backbones, multimodal large language models and diffusion transformers.
Saining Xie's lab at NYU works on vision-language & multimodal, image & video generation and large language models. 48 papers since 2023, 47 at top venues, mostly CVPR and ICLR. 9 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 98%
- PhD students
- 9
- MS students
- 0
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 15 papers2026 · T1 15 · collecting
- 17 papers2025 · T1 17
- 12 papers2024 · T1 11
- 4 papers2023 · T1 4
T1 venuesOtherVenues: CVPR, ICLR, ECCV, ICCV, NeurIPS
Research focuspaper titles that use each topic's words
- Large language models17 papers
- Image & video generation13 papers
- Vision-language & multimodal10 papers
- transformers6 papers
- multimodal large1 paper
Paper list
From DBLP.
202615 papers
- ICLR (T1)AutoCode: LLMs as Problem Setters for Competitive Programming (opens in a new tab)
- ECCV (T1)BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing (opens in a new tab)
- ECCV (T1)Cambrian-P: Pose-Grounded Video Understanding (opens in a new tab)
- ICLR (T1)Cambrian-S: Towards Spatial Supersensing in Video (opens in a new tab)
- ASPLOS (T1)CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting (opens in a new tab)
- ICLR (T1)Diffusion Transformers with Representation Autoencoders (opens in a new tab)
- CVPR (T1)Flow Map Distillation Without Data (opens in a new tab)
- ECCV (T1)GaussianLens: Localized High-Resolution Reconstruction via On-Demand Gaussian Densification (opens in a new tab)
- CVPR (T1)In Pursuit of Pixel Supervision for Visual Pre-training (opens in a new tab)
- ECCV (T1)Repurposing Geometric Foundation Models for Multi-view Diffusion (opens in a new tab)
- ICLR (T1)Spatial Mental Modeling from Limited Views (opens in a new tab)
- CVPR (T1)Thinking in 360deg: Humanoid Visual Search in the Wild (opens in a new tab)
202517 papers
- ICLR (T1)AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark (opens in a new tab)
- ICLR (T1)Deconstructing Denoising Diffusion Models for Self-Supervised Learning (opens in a new tab)
- ICLR (T1)DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing (opens in a new tab)
- NeurIPS (T1)Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy (opens in a new tab)
- CVPR (T1)Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis (opens in a new tab)
- NeurIPS (T1)LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? (opens in a new tab)
- NeurIPS (T1)Meta CLIP 2: A Worldwide Scaling Recipe (opens in a new tab)
- ICCV (T1)MetaMorph: Multimodal Understanding and Generation via Instruction Tuning (opens in a new tab)
- ICLR (T1)On Scaling Up 3D Gaussian Splatting Training (opens in a new tab)
- ICML (T1)PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop (opens in a new tab)
- ICCV (T1)REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers (opens in a new tab)
- ICLR (T1)Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think (opens in a new tab)
202412 papers
- EMNLP (T1)Altogether: Image Captioning via Re-aligning Alt-text (opens in a new tab)
- NeurIPS (T1)Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs (opens in a new tab)
- ICLR (T1)Demystifying CLIP Data (opens in a new tab)
- CVPR (T1)Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs (opens in a new tab)
- ECCV (T1)Fast Encoding and Decoding for Implicit Video Representation (opens in a new tab)
- NeurIPS (T1)Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning (opens in a new tab)
- CVPR (T1)Image Sculpting: Precise Object Editing with 3D Geometry Control (opens in a new tab)
- CVPR (T1)MoDE: CLIP Data Experts via Clustering (opens in a new tab)
- ECCV (T1)SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers (opens in a new tab)
- ECCV (T1)V-IRL: Grounding Virtual Intelligence in Real Life (opens in a new tab)
- CVPR (T1)V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs (opens in a new tab)
- Tiny Papers @ ICLRWhat Does a Visual Formal Analysis of the World's 500 Most Famous Paintings Tell Us About Multimodal LLMs? (opens in a new tab)
20234 papers
- ICCV (T1)CiT: Curation in Training for Effective Vision-Language Data (opens in a new tab)
- CVPR (T1)ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders (opens in a new tab)
- ICCV (T1)Going Denser with Open-Vocabulary Part Segmentation (opens in a new tab)
- ICCV (T1)Scalable Diffusion Models with Transformers (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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