Di Lin

According to our database, Di Lin authored at least 47 papers between 2014 and 2024.

Collaborative distances:

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

2024

Sign language translation with hierarchical memorized context in question answering scenarios.

Liqing Gao, Wei Feng, Peng Shi, Ruize Han, Di Lin, Liang Wang

Neural Comput. Appl., July, 2024

Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network.

Ruonan Liu, Dong Xiao, Di Lin, Weidong Zhang

IEEE Internet Things J., July, 2024

Non-iterative scribble-supervised learning with pacing pseudo-masks for medical image segmentation.

Zefan Yang, Di Lin, Dong Ni, Yi Wang

Expert Syst. Appl., March, 2024

Causal intervention graph neural network for fault diagnosis of complex industrial processes.

Ruonan Liu, Quanhu Zhang, Di Lin, Weidong Zhang, Steven X. Ding

Reliab. Eng. Syst. Saf., 2024

Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes.

Ruonan Liu, Yunfei Xie, Di Lin, Weidong Zhang, Steven X. Ding

Reliab. Eng. Syst. Saf., 2024

Recurrent feature propagation and edge skip-connections for automatic abdominal organ segmentation.

Zefan Yang, Di Lin, Dong Ni, Yi Wang

Expert Syst. Appl., 2024

Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation.

Enhui Ma, Lijun Zhou, Tao Tang, Zhan Zhang, Dong Han, Junpeng Jiang, Kun Zhan, Peng Jia, Xianpeng Lang, Haiyang Sun, Di Lin, Kaicheng Yu

CoRR, 2024

LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks.

Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression.

Miaohui Wang, Runnan Huang, Hengjin Dong, Di Lin, Yun Song, Wuyuan Xie

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Surface Geometry Processing: An Efficient Normal-Based Detail Representation.

Wuyuan Xie, Miaohui Wang, Di Lin, Boxin Shi, Jianmin Jiang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Phase-based fine-grained change detection.

Xuzhi Wang, Liang Wan, Di Lin, Wei Feng

Expert Syst. Appl., October, 2023

Tampering localization and self-recovery using block labeling and adaptive significance.

Qiyuan Zhang, Xiaochen Yuan, Tong Liu, Chan-Tong Lam, Guoheng Huang, Di Lin, Ping Li

Expert Syst. Appl., September, 2023

GAN-based pencil drawing learning system for art education on large-scale image datasets with learning analytics.

Yuxi Jin, Ping Li, Wenxiao Wang, Suiyun Zhang, Di Lin, Chengjiu Yin

Interact. Learn. Environ., July, 2023

Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis.

Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., February, 2023

TAGNet: Learning Configurable Context Pathways for Semantic Segmentation.

Di Lin, Dingguo Shen, Yuanfeng Ji, Siting Shen, Mingrui Xie, Wei Feng, Hui Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Natural-language-driven Simulation Benchmark and Copilot for Efficient Production of Object Interactions in Virtual Road Scenes.

Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Die Zuo, Jibin Peng, Zhao Huang, Zhecheng Xu, Fupeng Li, Ziyun Bai, Di Lin

CoRR, 2023

BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout.

Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, Kaicheng Yu

CoRR, 2023

On the Robustness of Segment Anything.

Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo

CoRR, 2023

Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation.

Tingliang Feng, Hao Shi, Xueyang Liu, Wei Feng, Liang Wan, Yanlin Zhou, Di Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging Inpainting for Single-Image Shadow Removal.

Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion.

Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep LSAC for Fine-Grained Recognition.

Di Lin, Yi Wang, Lingyu Liang, Ping Li, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

Fast and robust active camera relocalization in the wild for fine-grained change detection.

Qian Zhang, Wei Feng, Yi-Bo Shi, Di Lin

Neurocomputing, 2022

Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining.

Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin, Wei Feng, Song Wang

CoRR, 2022

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation.

Zefan Yang, Di Lin, Yi Wang

CoRR, 2022

Generative Status Estimation and Information Decoupling for Image Rain Removal.

Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cross-Image Context for Single Image Inpainting.

Tingliang Feng, Wei Feng, Weiqi Li, Di Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting.

Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang

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

2021

CarveNet: Carving Point-Block for Complex 3D Shape Completion.

Qing Guo, Zhijie Wang, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu

CoRR, 2021

Reciprocal Learning for Semi-supervised Segmentation.

Xiangyun Zeng, Rian Huang, Yuming Zhong, Dong Sun, Chu Han, Di Lin, Dong Ni, Yi Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images.

Di Lin, Ruimao Zhang, Yuanfeng Ji, Ping Li, Hui Huang

IEEE Trans. Cybern., 2020

Zig-Zag Network for Semantic Segmentation of RGB-D Images.

Di Lin, Hui Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2020

RANet: Region Attention Network for Semantic Segmentation.

Dingguo Shen, Yuanfeng Ji, Ping Li, Yi Wang, Di Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

SAGNet: structure-aware generative network for 3D-shape modeling.

Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, Hui Huang

ACM Trans. Graph., 2019

Multiview-coherent disocclusion synthesis using connected regions optimization.

Ping Li, Yuxi Jin, Bin Sheng, Di Lin, Yongwei Nie, Enhua Wu

Comput. Animat. Virtual Worlds, 2019

PRSNet: Part Relation and Selection Network for Bone Age Assessment.

Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation.

Di Lin, Dingguo Shen, Siting Shen, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang

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

2018

Semantic object reconstruction via casual handheld scanning.

Ruizhen Hu, Cheng Wen, Oliver van Kaick, Luanmin Chen, Di Lin, Daniel Cohen-Or, Hui Huang

ACM Trans. Graph., 2018

Structure-aware Generative Network for 3D-Shape Modeling.

Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, Hui Huang

CoRR, 2018

Multi-scale Context Intertwining for Semantic Segmentation.

Di Lin, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition.

Di Lin, Cewu Lu, Hui Huang, Jiaya Jia

IEEE Trans. Image Process., 2017

Two-Class Weather Classification.

Cewu Lu, Di Lin, Jiaya Jia, Chi-Keung Tang

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Learning to Aggregate Ordinal Labels by Maximizing Separating Width.

Guangyong Chen, Shengyu Zhang, Di Lin, Hui Huang, Pheng-Ann Heng

Proceedings of the 34th International Conference on Machine Learning, 2017

Cascaded Feature Network for Semantic Segmentation of RGB-D Images.

Di Lin, Guangyong Chen, Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation.

Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun

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

2015

Deep LAC: Deep localization, alignment and classification for fine-grained recognition.

Di Lin, Xiaoyong Shen, Cewu Lu, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Learning Important Spatial Pooling Regions for Scene Classification.

Di Lin, Cewu Lu, Renjie Liao, Jiaya Jia

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014