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Yuan Tian

4 papers hereh-index 10387 citations16 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Yuan Tian — 74 papers, h 8
  • Yuan Tian — 17 papers, h 9
  • Yuan Tian — 13 papers, h 7
  • Yuan Tian — 12 papers, h 3
  • Yuan Tian — 11 papers, h 16
  • Yuan Tian — 11 papers, h 10

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
20202022
most citedFisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 1 cited

FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras

Qingan Yan, Pan Ji, Nitin Bansal +3

In this paper, we deal with the problem of monocular depth estimation for fisheye cameras in a self-supervised manner. A known issue of self-supervised depth estimation is that it…

cs.CV2021

Self-Conditioned Probabilistic Learning of Video Rescaling

Yuan Tian, Guo Lu, Xiongkuo Min +4

Bicubic downscaling is a prevalent technique used to reduce the video storage burden or to accelerate the downstream processing speed. However, the inverse upscaling step is non-tr…

cs.CV2021★ 1 cited

EAN: Event Adaptive Network for Enhanced Action Recognition

Yuan Tian, Yichao Yan, Guangtao Zhai +2

Efficiently modeling spatial-temporal information in videos is crucial for action recognition. To achieve this goal, state-of-the-art methods typically employ the convolution opera…

cs.CV2020

Perceptron Synthesis Network: Rethinking the Action Scale Variances in Videos

Yuan Tian, Guangtao Zhai, Zhiyong Gao

Video action recognition has been partially addressed by the CNNs stacking of fixed-size 3D kernels. However, these methods may under-perform for only capturing rigid spatial-tempo…

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