Junliang Chen

Orcid: 0000-0001-7516-9546

Affiliations:
  • Hong Kong Polytechnic University, Hung Hom, Hong Kong
  • Shenzhen University, Computer Vision Institute, Shenzhen, China


According to our database1, Junliang Chen authored at least 22 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Hygiea+: Toward Energy-Efficient and Highly Accurate Toothbrushing Monitoring via Wrist-Worn Gesture Sensing.
IEEE Internet Things J., October, 2024

Enhancing Unsupervised Semantic Segmentation Through Context-Aware Clustering.
IEEE Trans. Multim., 2024

2023
Adversarial Learning of Object-Aware Activation Map for Weakly-Supervised Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

JLInst: Boundary-Mask Joint Learning for Instance Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

ADATS: Adaptive RoI-Align based Transformer for End-to-End Text Spotting.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation.
CoRR, 2022

SLAM: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation.
CoRR, 2022

Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation.
CoRR, 2022

Sample Hardness Based Gradient Loss for Long-Tailed Cervical Cell Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer.
Proceedings of the Computer Vision - ECCV 2022, 2022

C<sup>2</sup> AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Delving into the Scale Variance Problem in Object Detection.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Multi-scale Attention-Based Feature Pyramid Networks for Object Detection.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Selective Multi-scale Learning for Object Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Feature map masking based single-stage face detection.
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

2019
Brush like a Dentist: Accurate Monitoring of Toothbrushing via Wrist-Worn Gesture Sensing.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2017
LiPS: Learning Social Relationships in Probe Space.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

2013
Throughput Enhancement through Selective Time Sharing and Dynamic Grouping.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

2012
Just Satisfactory Resource Provisioning for Parallel Applications in the Cloud.
Proceedings of the Eighth IEEE World Congress on Services, 2012

Workload Characteristic Oriented Scheduler for MapReduce.
Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

2011
Profiling Applications for Virtual Machine Placement in Clouds.
Proceedings of the IEEE International Conference on Cloud Computing, 2011

2005
Recent advances on TD-SCDMA in China.
IEEE Commun. Mag., 2005


  Loading...