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Xinyu Hu

4 papers hereh-index 5331 citations20 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2
same name
  • Xinyu Hu — 19 papers, h 6
  • Xinyu Hu — 10 papers, h 3
  • Xinyu Hu — 4 papers, h 3
  • Xinyu Hu — 3 papers, h 1
  • Xinyu Hu — 3 papers, h 1
  • Xinyu Hu — 2 papers, h 5

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
20212023
most citedSolving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

13 citations · 18 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 13 cited

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Bowen Song, Soo Min Kwon, Zecheng Zhang +3

Diffusion models have recently emerged as powerful generative priors for solving inverse problems. However, training diffusion models in the pixel space are both data-intensive and…

cs.LG2022★ 3 cited

DeeprETA: An ETA Post-processing System at Scale

Xinyu Hu, Tanmay Binaykiya, Eric Frank +1

Estimated Time of Arrival (ETA) plays an important role in delivery and ride-hailing platforms. For example, Uber uses ETAs to calculate fares, estimate pickup times, match riders…

cs.CV2021

5th Place Solution for VSPW 2021 Challenge

Jiafan Zhuang, Yixin Zhang, Xinyu Hu +2

In this article, we introduce the solution we used in the VSPW 2021 Challenge. Our experiments are based on two baseline models, Swin Transformer and MaskFormer. To further boost p…

cs.LG2021★ 2 cited

When does loss-based prioritization fail?

Niel Teng Hu, Xinyu Hu, Rosanne Liu +2

Not all examples are created equal, but standard deep neural network training protocols treat each training point uniformly. Each example is propagated forward and backward through…

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