Jiaxing Huang

Orcid: 0000-0002-8681-0471

Affiliations:
  • Nanyang Technological University, School of Computer Science and Engineering, Singapore
  • University of Glasgow, College of Science and Engineering, UK


According to our database1, Jiaxing Huang authored at least 58 papers between 2018 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
S2Match: Self-paced sampling for data-limited semi-supervised learning.
Pattern Recognit., 2025

2024
Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training.
IEEE Trans. Intell. Transp. Syst., October, 2024

Vision-Language Models for Vision Tasks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion.
Int. J. Comput. Vis., August, 2024

Historical Test-time Prompt Tuning for Vision Foundation Models.
CoRR, 2024

Foundation Models for Remote Sensing and Earth Observation: A Survey.
CoRR, 2024

LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language Models.
CoRR, 2024

DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception.
CoRR, 2024

Domain Adaptation for Large-Vocabulary Object Detectors.
CoRR, 2024

Learning to Prompt Segment Anything Models.
CoRR, 2024

Efficient MAE towards Large-Scale Vision Transformers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception.
Proceedings of the Computer Vision - ECCV 2024, 2024

Masked AutoDecoder is Effective Multi-Task Vision Generalist.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Transductive transfer learning for visual recognition
PhD thesis, 2023

Cross-Domain Facial Expression Recognition via Contrastive Warm up and Complexity-Aware Self-Training.
IEEE Trans. Image Process., 2023

Visual Instruction Tuning towards General-Purpose Multimodal Model: A Survey.
CoRR, 2023

Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation.
CoRR, 2023

Domain Generalization via Balancing Training Difficulty and Model Capability.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DA-DETR: Domain Adaptive Detection Transformer with Information Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection.
IEEE Trans. Multim., 2022

Multi-level adversarial network for domain adaptive semantic segmentation.
Pattern Recognit., 2022

Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion.
CoRR, 2022

Contextual Text Block Detection towards Scene Text Understanding.
CoRR, 2022

Hierarchical Mask Calibration for Unified Domain Adaptive Panoptic Segmentation.
CoRR, 2022

Unsupervised Representation Learning for Point Clouds: A Survey.
CoRR, 2022

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Masked Generative Adversarial Networks are Data-Efficient Generation Learners.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

D-LC-Nets: Robust Denoising and Loop Closing Networks for LiDAR SLAM in Complicated Circumstances with Noisy Point Clouds.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Contextual Text Block Detection Towards Scene Text Understanding.
Proceedings of the Computer Vision - ECCV 2022, 2022

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision.
Proceedings of the Computer Vision - ECCV 2022, 2022

Spectral Unsupervised Domain Adaptation for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Category Contrast for Unsupervised Domain Adaptation in Visual Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Scale variance minimization for unsupervised domain adaptation in image segmentation.
Pattern Recognit., 2021

GenCo: Generative Co-training on Data-Limited Image Generation.
CoRR, 2021

SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation.
CoRR, 2021

FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition.
CoRR, 2021

Spectral Unsupervised Domain Adaptation for Visual Recognition.
CoRR, 2021

Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment.
CoRR, 2021

DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention.
CoRR, 2021

MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation.
CoRR, 2021

FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation.
CoRR, 2021

Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Domain Adaptive Video Segmentation via Temporal Consistency Regularization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RDA: Robust Domain Adaptation via Fourier Adversarial Attacking.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cross-View Regularization for Domain Adaptive Panoptic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

FSDR: Frequency Space Domain Randomization for Domain Generalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
A Learning Framework for Target Detection and Human Face Recognition in Real Time.
Int. J. Technol. Hum. Interact., 2019

2018
An Improved Method for Voiceprint Recognition.
Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2018


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