Dong Gong

According to our database, Dong Gong authored at least 73 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure.

De Cheng, Yanling Ji, Dong Gong, Yan Li, Nannan Wang, Junwei Han, Dingwen Zhang

IEEE Trans. Multim., 2024

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

Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji

CoRR, 2024

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

Cheng Zhang, Dong Gong, Jiumei He, Yu Zhu, Jinqiu Sun, Yanning Zhang

CoRR, 2024

Highway Graph to Accelerate Reinforcement Learning.

Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Shi

CoRR, 2024

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

Saurav Jha, Dong Gong, Lina Yao

CoRR, 2024

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

Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong

CoRR, 2024

Identifiable Latent Neural Causal Models.

Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

CoRR, 2024

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

Mark D. McDonnell, Dong Gong, Ehsan Abbasnejad, Anton van den Hengel

CoRR, 2024

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

Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu

CoRR, 2024

Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models.

Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

CoRR, 2024

EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance.

Zhenhong Sun, Junyan Wang, Zhiyu Tan, Daoyi Dong, Hailan Ma, Hao Li, Dong Gong

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.

Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning with Mixture of Prototypes for Out-of-Distribution Detection.

Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring.

Qingsen Yan, Dong Gong, Pei Wang, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi

IEEE Trans. Image Process., 2023

FocDepthFormer: Transformer with LSTM for Depth Estimation from Focus.

Xueyang Kang, Fengze Han, Abdur Fayjie, Dong Gong

CoRR, 2023

Learning Informative Latent Representation for Quantum State Tomography.

Hailan Ma, Zhenhong Sun, Daoyi Dong, Dong Gong

CoRR, 2023

RanPAC: Random Projections and Pre-trained Models for Continual Learning.

Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel

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.

Saurav Jha, Dong Gong, He Zhao, Lina Yao

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.

Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming C. Lin, Maurice Pagnucco, Yang Song

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.

Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen, Jinqiu Sun, Yanning Zhang

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

2022

Part-Guided Attention Learning for Vehicle Instance Retrieval.

Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen

IEEE Trans. Intell. Transp. Syst., 2022

High dynamic range imaging via gradient-aware context aggregation network.

Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Jinqiu Sun, Yu Zhu, Yanning Zhang

Pattern Recognit., 2022

Video super-resolution via mixed spatial-temporal convolution and selective fusion.

Wei Sun, Dong Gong, Javen Qinfeng Shi, Anton van den Hengel, Yanning Zhang

Pattern Recognit., 2022

Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging.

Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang

Int. J. Comput. Vis., 2022

The Neural Process Family: Survey, Applications and Perspectives.

Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao

CoRR, 2022

Identifying Latent Causal Content for Multi-Source Domain Adaptation.

Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Kun Zhang, Javen Qinfeng Shi

CoRR, 2022

Weight-variant Latent Causal Models.

Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

CoRR, 2022

Truncated Matrix Power Iteration for Differentiable DAG Learning.

Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi

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.

Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong

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.

Qingsen Yan, Dong Gong, Yuhang Liu, Anton van den Hengel, Javen Qinfeng Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results.

Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Deep Single Image Deraining via Modeling Haze-Like Effect.

Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng

IEEE Trans. Multim., 2021

Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold.

Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu

IEEE Trans. Knowl. Data Eng., 2021

Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation.

Wei Sun, Dong Gong, Qinfeng Shi, Anton van den Hengel, Yanning Zhang

IEEE Trans. Image Process., 2021

COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations.

Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Jingyang Ai, Qinfeng Shi, Yanning Zhang, Shuo Jin, Liang Zhang, Zheng You

IEEE Trans. Big Data, 2021

Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations.

Wanxuan Lu, Dong Gong, Kun Fu, Xian Sun, Wenhui Diao, Lingqiao Liu

Pattern Recognit., 2021

Image editing with varying intensities of processing.

Yasi Wang, Yuankai Qi, Hongxun Yao, Dong Gong, Qi Wu

Comput. Vis. Image Underst., 2021

Memory-augmented Dynamic Neural Relational Inference.

Dong Gong, Zhen Zhang, Qinfeng (Javen) Shi, Anton van den Hengel

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semi-supervised Learning via Conditional Rotation Angle Estimation.

Hai-Ming Xu, Lingqiao Liu, Dong Gong

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis.

Qingsen Yan, Bo Wang, Dong Gong, Dingwen Zhang, Yang Yang, Zheng You, Yanning Zhang, Javen Qinfeng Shi

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Learning Deep Gradient Descent Optimization for Image Deconvolution.

Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang

IEEE Trans. Neural Networks Learn. Syst., 2020

Learning Distilled Graph for Large-Scale Social Network Data Clustering.

Wenhe Liu, Dong Gong, Mingkui Tan, Qinfeng (Javen) Shi, Yi Yang, Alexander G. Hauptmann

IEEE Trans. Knowl. Data Eng., 2020

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

Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You

CoRR, 2020

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

Xinyu Zhang, Dong Gong, Jiewei Cao, Chunhua Shen

CoRR, 2020

Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation.

Tong He, Dong Gong, Zhi Tian, Chunhua Shen

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Two-Stream Convolutional Networks for Blind Image Quality Assessment.

Qingsen Yan, Dong Gong, Yanning Zhang

IEEE Trans. Image Process., 2019

An Adaptive Markov Random Field for Structured Compressive Sensing.

Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong, Zhen Zhang, Chao Chen, Damith Chinthana Ranasinghe, Qinfeng (Javen) Shi

IEEE Trans. Image Process., 2019

MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution.

Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang

IEEE Trans. Image Process., 2019

ARSAC: Efficient model estimation via adaptively ranked sample consensus.

Rui Li, Jinqiu Sun, Dong Gong, Yu Zhu, Haisen Li, Yanning Zhang

Neurocomputing, 2019

Part-Guided Attention Learning for Vehicle Re-Identification.

Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen

CoRR, 2019

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

Tong Shen, Dong Gong, Wei Zhang, Chunhua Shen, Tao Mei

CoRR, 2019

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

Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng

CoRR, 2019

Multi-Scale Dense Networks for Deep High Dynamic Range Imaging.

Qingsen Yan, Dong Gong, Pingping Zhang, Qinfeng Shi, Jinqiu Sun, Ian David Reid, Yanning Zhang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging.

Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Robust and Accurate Hybrid Structure-From-Moti.

Rui Li, Dong Gong, Jinqiu Sun, Yu Zhu, Ziwei Wei, Yanning Zhang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection.

Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attention-Guided Network for Ghost-Free High Dynamic Range Imaging.

Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Variational Bayesian Dropout With a Hierarchical Prior.

Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion.

Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Knowledge Adaptation for Efficient Semantic Segmentation.

Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Blind image deblurring by promoting group sparsity.

Dong Gong, Rui Li, Yu Zhu, Haisen Li, Jinqiu Sun, Yanning Zhang

Neurocomputing, 2018

Variational Bayesian Dropout.

Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi

CoRR, 2018

Learning an Optimizer for Image Deconvolution.

Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang

CoRR, 2018

Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal.

Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi

Proceedings of the Computer Vision - ECCV 2018, 2018

Deblurring Natural Image Using Super-Gaussian Fields.

Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang, Qinfeng Shi

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Self-Paced Kernel Estimation for Robust Blind Image Deblurring.

Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi

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.

Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi

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

MPGL: An Efficient Matching Pursuit Method for Generalized LASSO.

Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Blind Image Deconvolution by Automatic Gradient Activation.

Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014

Explicit solutions for a hierarchy of differential-difference equations.

Dong Gong, Xianguo Geng

Appl. Math. Comput., 2014

Joint Motion Deblurring with Blurred/Noisy Image Pair.

Haisen Li, Yanning Zhang, Jinqiu Sun, Dong Gong

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Neighbor combination for atmospheric turbulence image reconstruction.

Dong Gong, Yanning Zhang, Shaobo Dang, Jinqiu Sun

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

A Patch-Based Non-local Means Method for Image Denoising.

Shaobo Dang, Yanning Zhang, Dong Gong

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012