Jiawang Bian

Orcid: 0000-0003-2046-3363

Affiliations:

Nankai University, College of Computer Science, Tianjin, China
Singapore University of Technology and Design, Tampines, Singapore

According to our database¹, Jiawang Bian authored at least 35 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing.

[BibT_eX]

[DOI]

Victor Adrian Prisacariu

CoRR, 2024

2023

MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios.

[BibT_eX]

[DOI]

CoRR, 2023

PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction.

[BibT_eX]

[DOI]

Jia-Wang Bian

Wenjing Bian

Victor Adrian Prisacariu

Philip H. S. Torr

CoRR, 2023

Refinement for Absolute Pose Regression with Neural Feature Synthesis.

[BibT_eX]

[DOI]

Victor Adrian Prisacariu

CoRR, 2023

MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices.

[BibT_eX]

[DOI]

Victor Adrian Prisacariu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MobileSal: Extremely Efficient RGB-D Salient Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Auto-Rectify Network for Unsupervised Indoor Depth Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Semantic Edge Detection with Diverse Deep Supervision.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior.

[BibT_eX]

[DOI]

Victor Adrian Prisacariu

CoRR, 2022

Deep Negative Correlation Classification.

[BibT_eX]

[DOI]

CoRR, 2022

2021

SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Correction to "Nonlinear Regression via Deep Negative Correlation Learning".

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Nonlinear Regression via Deep Negative Correlation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Ordered or Orderless: A Revisit for Video Based Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Unsupervised Scale-Consistent Depth Learning from Video.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

DF-VO: What Should Be Learnt for Visual Odometry?

[BibT_eX]

[DOI]

Huangying Zhan

Chamara Saroj Weerasekera

Jia-Wang Bian

Ravi Garg

Ian D. Reid

CoRR, 2021

Diverse Knowledge Distillation for End-to-End Person Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

NVSS: High-quality Novel View Selfie Synthesis.

[BibT_eX]

[DOI]

Jia-Wang Bian

Huangying Zhan

Ian Reid

Proceedings of the International Conference on 3D Vision, 2021

2020

GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue.

[BibT_eX]

[DOI]

CoRR, 2020

Visual Odometry Revisited: What Should Be Learnt?

[BibT_eX]

[DOI]

Huangying Zhan

Chamara Saroj Weerasekera

Jia-Wang Bian

Ian Reid

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Richer Convolutional Features for Edge Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning.

[BibT_eX]

[DOI]

CoRR, 2019

An Evaluation of Feature Matchers forFundamental Matrix Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Regression via Deep Negative Correlation Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Evaluation of Feature Matchers for Fundamental Matrix Estimation.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

MatchBench: An Evaluation of Feature Matchers.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Pixel-wise Labeling from the Internet without Human Interaction.

[BibT_eX]

[DOI]

CoRR, 2018

Semantic Edge Detection with Diverse Deep Supervision.

[BibT_eX]

[DOI]

CoRR, 2018

DEL: Deep Embedding Learning for Efficient Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

HFS: Hierarchical Feature Selection for Efficient Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Jiawang Bian

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