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 38 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep negative correlation classification.
Mach. Learn., October, 2024

Towards Domain-agnostic Depth Completion.
Mach. Intell. Res., August, 2024

SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models.
CoRR, 2024

GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing.
CoRR, 2024

Porf: Pose residual field for accurate Neural surface Reconstruction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Refinement for Absolute Pose Regression with Feature Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios.
CoRR, 2023

Refinement for Absolute Pose Regression with Neural Feature Synthesis.
CoRR, 2023

MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
MobileSal: Extremely Efficient RGB-D Salient Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Auto-Rectify Network for Unsupervised Indoor Depth Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Semantic Edge Detection with Diverse Deep Supervision.
Int. J. Comput. Vis., 2022

NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior.
CoRR, 2022

2021
SAMNet: Stereoscopically Attentive Multi-Scale Network for Lightweight Salient Object Detection.
IEEE Trans. Image Process., 2021

Correction to "Nonlinear Regression via Deep Negative Correlation Learning".
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Nonlinear Regression via Deep Negative Correlation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Ordered or Orderless: A Revisit for Video Based Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Unsupervised Scale-Consistent Depth Learning from Video.
Int. J. Comput. Vis., 2021

DF-VO: What Should Be Learnt for Visual Odometry?
CoRR, 2021

Diverse Knowledge Distillation for End-to-End Person Search.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

NVSS: High-quality Novel View Selfie Synthesis.
Proceedings of the International Conference on 3D Vision, 2021

2020
GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence.
Int. J. Comput. Vis., 2020

Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue.
CoRR, 2020

Visual Odometry Revisited: What Should Be Learnt?
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Richer Convolutional Features for Edge Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning.
CoRR, 2019

An Evaluation of Feature Matchers forFundamental Matrix Estimation.
CoRR, 2019

Robust Regression via Deep Negative Correlation Learning.
CoRR, 2019

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video.
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.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
MatchBench: An Evaluation of Feature Matchers.
CoRR, 2018

Learning Pixel-wise Labeling from the Internet without Human Interaction.
CoRR, 2018

Semantic Edge Detection with Diverse Deep Supervision.
CoRR, 2018

DEL: Deep Embedding Learning for Efficient Image Segmentation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
HFS: Hierarchical Feature Selection for Efficient Image Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016


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