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Weining Wang

16 papers hereh-index 161k citations37 works total

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

author position
  • middle author15

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • cs.LG1
  • cs.MM1
same name
  • Weining Wang — 10 papers, h 3
  • Weining Wang — 9 papers, h 17
  • Weining Wang — 6 papers, h 4
  • Weining Wang — 3 papers, h 1
  • Weining Wang — 2 papers, h 1
  • Weining Wang — 2 papers, h 0

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
20202026
most citedOPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation

21 citations · 81 across the 16 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 1 cited

Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing

Xingjian He, Weining Wang, Zhiyong Xu +3

Compared with image scene parsing, video scene parsing introduces temporal information, which can effectively improve the consistency and accuracy of prediction. In this paper, we…

cs.CV2021★ 21 cited

OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation

Jing Liu, Xinxin Zhu, Fei Liu +8

In this paper, we propose an Omni-perception Pre-Trainer (OPT) for cross-modal understanding and generation, by jointly modeling visual, text and audio resources. OPT is constructe…

cs.CV2021

Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network

Xingqun Qi, Muyi Sun, Weining Wang +3

Face sketch synthesis has made significant progress with the development of deep neural networks in these years. The delicate depiction of sketch portraits facilitates a wide range…

cs.CV2021★ 9 cited

Temporal Memory Attention for Video Semantic Segmentation

Hao Wang, Weining Wang, Jing Liu

Video semantic segmentation requires to utilize the complex temporal relations between frames of the video sequence. Previous works usually exploit accurate optical flow to leverag…

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