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Chen Chen

28 papers here

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

author position
  • first author1
  • middle author16
  • last author9

Across the 26 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CV25
  • eess.IV2
  • cs.CR1
ORCID 0000-0003-3957-7061
same name
  • Chen Chen — 18 papers, h 26
  • Chen Chen — 16 papers
  • Chen Chen — 16 papers, h 45
  • Chen Chen — 14 papers
  • Chen Chen — 13 papers, h 19
  • Chen Chen — 13 papers, h 20

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
20172024
most citedAIM: Adapting Image Models for Efficient Video Action Recognition

62 citations · 240 across the 28 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 5 cited

Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions

Mengyuan Liu, Hong Liu, Chen Chen

3D action recognition has broad applications in human-computer interaction and intelligent surveillance. However, recognizing similar actions remains challenging since previous lit…

cs.CV2017★ 41 cited

An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos

Rui Hou, Chen Chen, Mubarak Shah

In this paper, we propose an end-to-end 3D CNN for action detection and segmentation in videos. The proposed architecture is a unified deep network that is able to recognize and lo…

cs.CV2017

Multi-modal Aggregation for Video Classification

Chen Chen, Xiaowei Zhao, Yang Liu

In this paper, we present a solution to Large-Scale Video Classification Challenge (LSVC2017) [1] that ranked the 1st place. We focused on a variety of modalities that cover visual…

cs.CV2017★ 1 cited

Deep Spatio-temporal Manifold Network for Action Recognition

Ce Li, Chen Chen, Baochang Zhang +3

Visual data such as videos are often sampled from complex manifold. We propose leveraging the manifold structure to constrain the deep action feature learning, thereby minimizing t…

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