Jing Zhang

Orcid: 0000-0002-8516-0913

Affiliations:
  • Australian National University, Research School of Engineering, Canberra, Australia
  • Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China (former)


According to our database1, Jing Zhang authored at least 87 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Rethinking Polyp Segmentation From An Out-of-distribution Perspective.
Mach. Intell. Res., August, 2024

From heavy rain removal to detail restoration: A faster and better network.
Pattern Recognit., April, 2024

Frequency-Oriented Efficient Transformer for All-in-One Weather-Degraded Image Restoration.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

Mutual Information Regularization for Weakly-Supervised RGB-D Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Weakly-Supervised Contrastive Learning for Unsupervised Object Discovery.
IEEE Trans. Image Process., 2024

A Self-Supplementary and Revised Network for Remote Sensing Object Detection.
IEEE Geosci. Remote. Sens. Lett., 2024

Synergizing triple attention with depth quality for RGB-D salient object detection.
Neurocomputing, 2024

A novel dual-stage progressive enhancement network for single image deraining.
Eng. Appl. Artif. Intell., 2024

SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model.
CoRR, 2024

You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet.
CoRR, 2024

HybridVC: Efficient Voice Style Conversion with Text and Audio Prompts.
CoRR, 2024

Learning Gaussian Representation for Eye Fixation Prediction.
CoRR, 2024

Training A Small Emotional Vision Language Model for Visual Art Comprehension.
CoRR, 2024

TAVGBench: Benchmarking Text to Audible-Video Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Encoder-Minimal and Decoder-Minimal Framework for Remote Sensing Image Dehazing.
Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-Dimension Queried and Interacting Network for Stereo Image Deraining.
Proceedings of the IEEE International Conference on Acoustics, 2024

SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Adversarial Purification with the Manifold Hypothesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LaViP: Language-Grounded Visual Prompting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
An Energy-Based Prior for Generative Saliency.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Toward Deeper Understanding of Camouflaged Object Detection.
IEEE Trans. Circuits Syst. Video Technol., July, 2023

Predictive Uncertainty Estimation for Camouflaged Object Detection.
IEEE Trans. Image Process., 2023

Encoder-Free Multiaxis Physics-Aware Fusion Network for Remote Sensing Image Dehazing.
IEEE Trans. Geosci. Remote. Sens., 2023

Global to Local: A Scale-Aware Network for Remote Sensing Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

A Task-Balanced Multiscale Adaptive Fusion Network for Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Salient Objects in Clutter.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Progressive dilation dense residual fusion network for single-image deraining.
IET Image Process., 2023

Probabilistic and semantic descriptions of image manifolds and their applications.
Frontiers Comput. Sci., 2023

LaViP: Language-Grounded Visual Prompts.
CoRR, 2023

Contrastive Conditional Latent Diffusion for Audio-visual Segmentation.
CoRR, 2023

Transferable Attack for Semantic Segmentation.
CoRR, 2023

Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation.
CoRR, 2023

Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning.
CoRR, 2023

Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications.
CoRR, 2023

Audio-Visual Segmentation with Semantics.
CoRR, 2023

RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multimodal Variational Auto-encoder based Audio-Visual Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Model Calibration in Dense Classification with Adaptive Label Perturbation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Modeling the Distributional Uncertainty for Salient Object Detection Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Weakly Supervised RGB-D Salient Object Detection With Prediction Consistency Training and Active Scribble Boosting.
IEEE Trans. Image Process., 2022

Semi-supervised Active Salient Object Detection.
Pattern Recognit., 2022

Uncertainty Inspired RGB-D Saliency Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Adaptive Test-Time Defense with the Manifold Hypothesis.
CoRR, 2022

Generalised Co-Salient Object Detection.
CoRR, 2022

Towards Deeper Understanding of Camouflaged Object Detection.
CoRR, 2022

Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Modeling Aleatoric Uncertainty for Camouflaged Object Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Multi-Modal Transformer for RGB-D Salient Object Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Audio-Visual Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A General Divergence Modeling Strategy for Salient Object Detection.
Proceedings of the Computer Vision - ACCV 2022, 2022

Energy-Based Generative Cooperative Saliency Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Transmission-Guided Bayesian Generative Model for Smoke Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Semi-supervised Salient Object Detection with Effective Confidence Estimation.
CoRR, 2021

GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation.
CoRR, 2021

Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model.
CoRR, 2021

Dense Uncertainty Estimation.
CoRR, 2021

Depth-Guided Camouflaged Object Detection.
CoRR, 2021

Confidence-Aware Learning for Camouflaged Object Detection.
CoRR, 2021

Invertible Attention.
CoRR, 2021

SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos.
CoRR, 2021

Transformer Transforms Salient Object Detection and Camouflaged Object Detection.
CoRR, 2021

Simultaneously Localize, Segment and Rank the Camouflaged Objects.
CoRR, 2021

Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning structure-aware semantic segmentation with image-level supervision.
Proceedings of the International Joint Conference on Neural Networks, 2021

RGB-D Saliency Detection via Cascaded Mutual Information Minimization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Weakly Supervised Video Salient Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Simultaneously Localize, Segment and Rank the Camouflaged Objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Uncertainty-Aware Deep Calibrated Salient Object Detection.
CoRR, 2020

Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Weakly-Supervised Salient Object Detection via Scribble Annotations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3D Guided Weakly Supervised Semantic Segmentation.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Few-Shot Learning via Saliency-Guided Hallucination of Samples.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Deep Edge-Aware Saliency Detection.
CoRR, 2017

Deep Salient Object Detection by Integrating Multi-level Cues.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Integrated deep and shallow networks for salient object detection.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Attention to the Scale: Deep Multi-Scale Salient Object Detection.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Multi-scale salient object detection with pyramid spatial pooling.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016
Hyperspectral image classification based on deep stacking network.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2014
Modified affinity propagation clustering.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014


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