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researcher

Yin Cui

Google

18 papers hereh-index 2613.7k citations38 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author10
  • last author3

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.LG1
  • cs.MM1
affiliations
  • Google
HomepageORCID 0000-0003-2882-2033
same name
  • Yin Cui — 13 papers, h 10
  • Yin Cui — 12 papers, h 10
  • Yin Cui — 8 papers, h 5
  • Yin Cui — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedRethinking Pre-training and Self-training

395 citations · 1.3k across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 4 cited

Exploring Temporal Granularity in Self-Supervised Video Representation Learning

Rui Qian, Yeqing Li, Liangzhe Yuan +7

This work presents a self-supervised learning framework named TeG to explore Temporal Granularity in learning video representations. In TeG, we sample a long clip from a video and…

cs.CV2021★ 10 cited

Scaling Open-Vocabulary Image Segmentation with Image-Level Labels

Golnaz Ghiasi, Xiuye Gu, Yin Cui +1

We design an open-vocabulary image segmentation model to organize an image into meaningful regions indicated by arbitrary texts. Recent works (CLIP and ALIGN), despite attaining im…

cs.CV2021★ 281 cited

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo +1

We aim at advancing open-vocabulary object detection, which detects objects described by arbitrary text inputs. The fundamental challenge is the availability of training data. It i…

cs.CV2021★ 339 cited

VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

Hassan Akbari, Liangzhe Yuan, Rui Qian +4

We present a framework for learning multimodal representations from unlabeled data using convolution-free Transformer architectures. Specifically, our Video-Audio-Text Transformer…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.