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researcher

Jun Gao

5 papers here

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

author position
  • first author1
  • middle author4

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

fields
  • cs.CV4
  • cs.LG1
ORCID 0000-0003-2959-2778
same name
  • Jun Gao — 40 papers, h 25
  • Jun Gao — 27 papers, h 50
  • Jun Gao — 14 papers
  • Jun Gao — 10 papers
  • Jun Gao — 8 papers
  • Jun Gao — 8 papers

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
20192025
most citedMimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing

2 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Progressive Learning of 3D Reconstruction Network from 2D GAN Data

Aysegul Dundar, Jun Gao, Andrew Tao +1

This paper presents a method to reconstruct high-quality textured 3D models from single images. Current methods rely on datasets with expensive annotations; multi-view images and t…

cs.CV2023

Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes

Zian Wang, Tianchang Shen, Jun Gao +6

Reconstruction and intrinsic decomposition of scenes from captured imagery would enable many applications such as relighting and virtual object insertion. Recent NeRF based methods…

cs.CV2022

Improving Semantic Segmentation in Transformers using Hierarchical Inter-Level Attention

Gary Leung, Jun Gao, Xiaohui Zeng +1

Existing transformer-based image backbones typically propagate feature information in one direction from lower to higher-levels. This may not be ideal since the localization abilit…

cs.CV2019★ 2 cited

Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing

Jun Gao, Xiao Li, Liwei Wang +2

We present a method for compositing virtual objects into a photograph such that the object colors appear to have been processed by the photo's camera imaging pipeline. Compositing…

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