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Jing Wu

5 papers hereh-index 10638 citations21 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO1
same name
  • Jing Wu — 11 papers, h 10
  • Jing Wu — 9 papers, h 8
  • Jing Wu — 8 papers, h 27
  • Jing Wu — 8 papers, h 7
  • Jing Wu — 7 papers, h 4
  • Jing Wu — 5 papers, h 13

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
20202024
most citedMLCVNet: Multi-Level Context VoteNet for 3D Object Detection

28 citations · 37 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

Training-Free Video Editing via Optical Flow-Enhanced Score Distillation

Lianghan Zhu, Yanqi Bao, Jing Huo +4

The rapid advancement in visual generation, particularly the emergence of pre-trained text-to-image and text-to-video models, has catalyzed growing interest in training-free video…

cs.CV2023★ 2 cited

Feature Proliferation -- the "Cancer" in StyleGAN and its Treatments

Shuang Song, Yuanbang Liang, Jing Wu +2

Despite the success of StyleGAN in image synthesis, the images it synthesizes are not always perfect and the well-known truncation trick has become a standard post-processing techn…

cs.CV2022

Playing Lottery Tickets in Style Transfer Models

Meihao Kong, Jing Huo, Wenbin Li +3

Style transfer has achieved great success and attracted a wide range of attention from both academic and industrial communities due to its flexible application scenarios. However,…

cs.CV2020★ 28 cited

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

Qian Xie, Yu-Kun Lai, Jing Wu +4

In this paper, we address the 3D object detection task by capturing multi-level contextual information with the self-attention mechanism and multi-scale feature fusion. Most existi…

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