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Jin Chen

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV4
same name
  • Jin Chen — 9 papers
  • Jin Chen — 8 papers, h 19
  • Jin Chen — 5 papers, h 8
  • Jin Chen — 3 papers
  • Jin Chen — 3 papers, h 5
  • Jin Chen — 3 papers, h 16

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

most citedVideo Saliency Prediction Using Enhanced Spatiotemporal Alignment Network

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2020

Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection

Kaihua Zhang, Tengpeng Li, Shiwen Shen +3

Co-saliency detection aims to discover the common and salient foregrounds from a group of relevant images. For this task, we present a novel adaptive graph convolutional network wi…

cs.CV2020

Dynamic Region-Aware Convolution

Jin Chen, Xijun Wang, Zichao Guo +2

We propose a new convolution called Dynamic Region-Aware Convolution (DRConv), which can automatically assign multiple filters to corresponding spatial regions where features have…

cs.CV2020★ 3 cited

Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network

Jin Chen, Huihui Song, Kaihua Zhang +2

Due to a variety of motions across different frames, it is highly challenging to learn an effective spatiotemporal representation for accurate video saliency prediction (VSP). To a…

cs.CV2019★ 2 cited

Deep Object Co-segmentation via Spatial-Semantic Network Modulation

Kaihua Zhang, Jin Chen, Bo Liu +1

Object co-segmentation is to segment the shared objects in multiple relevant images, which has numerous applications in computer vision. This paper presents a spatial and semantic…

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