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researcher

S. Du

4 papers hereh-index 313.3k citations183 works total

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

author position
  • last author4

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

fields
  • cs.CV3
  • cs.LG1
same name
  • S. Du — 164 papers, h 48
  • S. Du — 153 papers, h 1
  • S. Du — 152 papers, h 21
  • S. Du — 103 papers, h 49
  • S. Du — 86 papers, h 6
  • S. Du — 60 papers, h 6

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
20212026
most citedPyramid Feature Attention Network for Monocular Depth Prediction

14 citations · 18 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

DSAR: Dual-Stream Autoregressive Modeling of Temporal Cloth Dynamics for Photorealistic Animatable Avatars

Haozhong Xiong, Yao Yu, Yu Zhou +1

Creating photorealistic and temporally coherent animatable human avatars from RGB videos remains challenging. Current methods struggle to capture realistic cloth dynamics, producin…

cs.CV2024★ 14 cited

Pyramid Feature Attention Network for Monocular Depth Prediction

Yifang Xu, Chenglei Peng, Ming Li +2

Deep convolutional neural networks (DCNNs) have achieved great success in monocular depth estimation (MDE). However, few existing works take the contributions for MDE of different…

cs.CV2023★ 4 cited

MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer

Yifang Xu, Yunzhuo Sun, Yang Li +3

With the increasing demand for video understanding, video moment and highlight detection (MHD) has emerged as a critical research topic. MHD aims to localize all moments and predic…

cs.LG2021

Jitter: Random Jittering Loss Function

Zhicheng Cai, Chenglei Peng, Sidan Du

Regularization plays a vital role in machine learning optimization. One novel regularization method called flooding makes the training loss fluctuate around the flooding level. It…

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