Bowen Cheng

Orcid: 0000-0001-8188-9478

According to our database1, Bowen Cheng authored at least 38 papers between 2009 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Multi-Task Learning and Multimodal Fusion for Road Segmentation.
IEEE Access, 2023

Locating Noise is Halfway Denoising for Semi-Supervised Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data.
J. Biomed. Informatics, 2022

Pointly-Supervised Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Masked-attention Mask Transformer for Universal Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation.
Proceedings of the International Conference on Automated Machine Learning, 2022

2021
Colormap optimization with data equality.
J. Vis., 2021

Mask2Former for Video Instance Segmentation.
CoRR, 2021

Per-Pixel Classification is Not All You Need for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An FPGA-based MobileNet Accelerator Considering Network Structure Characteristics.
Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Design and Implement of Median Filter toward Remote Sensing Images Based on FPGA.
Proceedings of the 14th IEEE International Conference on ASIC, 2021

2020
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition.
CoRR, 2020

Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.
CoRR, 2020

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems.
Proceedings of Machine Learning and Systems 2020, 2020

A Target Detection Algorithm of Neural Network Based on Histogram Statistics.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Enhance Visual Recognition Under Adverse Conditions via Deep Networks.
IEEE Trans. Image Process., 2019

Panoptic-DeepLab.
CoRR, 2019

Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation.
CoRR, 2019

Remote Sensing Ship Target Detection and Recognition System Based on Machine Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

SPGNet: Semantic Prediction Guidance for Scene Parsing.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

High Frequency Residual Learning for Multi-Scale Image Classification.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Research on Virtual Driving System of a Forestry Logging Harvester.
Wirel. Pers. Commun., 2018

A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization.
CoRR, 2018

Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection.
CoRR, 2018

Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition.
CoRR, 2018

TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection.
CoRR, 2018

TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN.
Proceedings of the Computer Vision - ECCV 2018, 2018

Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Robust emotion recognition from low quality and low bit rate video: A deep learning approach.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2009
The Social Network Mining of BBS.
J. Networks, 2009


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