Yin Cui
Scholar

Yin Cui

Google Scholar ID: iP5m52IAAAAJ
Research Scientist, NVIDIA
Computer VisionMachine Learning
Citations & Impact
All-time
Citations
15,733
 
H-index
30
 
i10-index
43
 
Publications
20
 
Co-authors
176
list available
Resume (English only)
Academic Achievements
  • PAMI Mark Everingham Prize (2023) - COCO dataset
  • VideoGLUE: Video General Understanding Evaluation of Foundation Models (TMLR 2024)
  • Why Fine-grained Labels in Pretraining Benefit Generalization? (TMLR 2024)
  • Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation (CVPR 2024)
  • Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception (NeurIPS 2023)
  • DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model (NeurIPS 2023)
  • A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models (ICML 2023)
  • F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models (ICLR 2023)
  • Scaling Open-Vocabulary Image Segmentation with Image-Level Labels (ECCV 2022)
  • Open-vocabulary Object Detection via Vision and Language Knowledge Distillation (ICLR 2022)
  • Surrogate Gap Minimization Improves Sharpness-Aware Training (ICLR 2022)
Education
  • Ph.D. in Computer Science from Cornell University and Cornell Tech in 2019, advised by Professor Serge Belongie.
Background
  • Currently a research scientist at NVIDIA. Previously, a research scientist at Google. Main research interests are Generative AI and Multimodal.
Miscellany
  • No other information provided