Dong Gong

Orcid: 0000-0002-2668-9630

According to our database1, Dong Gong authored at least 75 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure.
IEEE Trans. Multim., 2024

Tokens on Demand: Token Condensation as Training-free Test-time Adaptation.
CoRR, 2024

Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models.
CoRR, 2024

UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation.
CoRR, 2024

Highway Graph to Accelerate Reinforcement Learning.
CoRR, 2024

CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models.
CoRR, 2024

Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning.
CoRR, 2024

Identifiable Latent Neural Causal Models.
CoRR, 2024

Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning.
CoRR, 2024

SDGE: Stereo Guided Depth Estimation for 360° Camera Sets.
CoRR, 2024

Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models.
CoRR, 2024

EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Identifiable Latent Polynomial Causal Models through the Lens of Change.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning with Mixture of Prototypes for Out-of-Distribution Detection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

FocDepthFormer: Transformer with Latent LSTM for Depth Estimation from Focal Stack.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023
SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring.
IEEE Trans. Image Process., 2023

FocDepthFormer: Transformer with LSTM for Depth Estimation from Focus.
CoRR, 2023

Learning Informative Latent Representation for Quantum State Tomography.
CoRR, 2023

RanPAC: Random Projections and Pre-trained Models for Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NPCL: Neural Processes for Uncertainty-Aware Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Part-Guided Attention Learning for Vehicle Instance Retrieval.
IEEE Trans. Intell. Transp. Syst., 2022

High dynamic range imaging via gradient-aware context aggregation network.
Pattern Recognit., 2022

Video super-resolution via mixed spatial-temporal convolution and selective fusion.
Pattern Recognit., 2022

Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging.
Int. J. Comput. Vis., 2022

The Neural Process Family: Survey, Applications and Perspectives.
CoRR, 2022

Identifying Latent Causal Content for Multi-Source Domain Adaptation.
CoRR, 2022

Weight-variant Latent Causal Models.
CoRR, 2022

Truncated Matrix Power Iteration for Differentiable DAG Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Lightweight Network for High Dynamic Range Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022


2021
Deep Single Image Deraining via Modeling Haze-Like Effect.
IEEE Trans. Multim., 2021

Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold.
IEEE Trans. Knowl. Data Eng., 2021

Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation.
IEEE Trans. Image Process., 2021

COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations.
IEEE Trans. Big Data, 2021

Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations.
Pattern Recognit., 2021

Image editing with varying intensities of processing.
Comput. Vis. Image Underst., 2021

Memory-augmented Dynamic Neural Relational Inference.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semi-supervised Learning via Conditional Rotation Angle Estimation.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Learning Deep Gradient Descent Optimization for Image Deconvolution.
IEEE Trans. Neural Networks Learn. Syst., 2020

Learning Distilled Graph for Large-Scale Social Network Data Clustering.
IEEE Trans. Knowl. Data Eng., 2020

COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution.
CoRR, 2020

Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory.
CoRR, 2020

Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Two-Stream Convolutional Networks for Blind Image Quality Assessment.
IEEE Trans. Image Process., 2019

An Adaptive Markov Random Field for Structured Compressive Sensing.
IEEE Trans. Image Process., 2019

MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution.
IEEE Trans. Image Process., 2019

ARSAC: Efficient model estimation via adaptively ranked sample consensus.
Neurocomputing, 2019

Part-Guided Attention Learning for Vehicle Re-Identification.
CoRR, 2019

Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation.
CoRR, 2019

An Effective Two-Branch Model-Based Deep Network for Single Image Deraining.
CoRR, 2019

Multi-Scale Dense Networks for Deep High Dynamic Range Imaging.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Robust and Accurate Hybrid Structure-From-Moti.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attention-Guided Network for Ghost-Free High Dynamic Range Imaging.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Variational Bayesian Dropout With a Hierarchical Prior.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Knowledge Adaptation for Efficient Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Blind image deblurring by promoting group sparsity.
Neurocomputing, 2018

Variational Bayesian Dropout.
CoRR, 2018

Learning an Optimizer for Image Deconvolution.
CoRR, 2018

Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deblurring Natural Image Using Super-Gaussian Fields.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Self-Paced Kernel Estimation for Robust Blind Image Deblurring.
Proceedings of the IEEE International Conference on Computer Vision, 2017

From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

MPGL: An Efficient Matching Pursuit Method for Generalized LASSO.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Blind Image Deconvolution by Automatic Gradient Activation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Explicit solutions for a hierarchy of differential-difference equations.
Appl. Math. Comput., 2014

Joint Motion Deblurring with Blurred/Noisy Image Pair.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Neighbor combination for atmospheric turbulence image reconstruction.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
A Patch-Based Non-local Means Method for Image Denoising.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012


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