Di Lin - RankMe

86 papers A* 26A 2C 1Journal 54Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Inference via Style Bias Deconfounding for Domain Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Jiaxi Li, Di Lin, Hao Chen, Hongying Liu, Liang Wan, Wei Feng
2026	A*	`conf`	CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving. AAAI Enhui Ma, Lijun Zhou, Tao Tang, Jiahuan Zhang, Junpeng Jiang, Zhan Zhang, Dong Han, Kun Zhan, Xueyang Zhang, Xianpeng Lang, Haiyang Sun, Xia Zhou, Di Lin, Kaicheng Yu
2026	A*	`conf`	Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking. AAAI Bohao Qu, Xiaofeng Cao, Bing Li, Menglin Zhang, Tuan-Anh Vu, Di Lin, Qing Guo
2026	A*	`conf`	Firing Bits Where It Matters: Spiking-Guided Just Recognizable Distortion Modeling for Machine-Centric Video Coding. AAAI Wuyuan Xie, ZhenMing Li, Yuwu Lu, Di Lin, Yun Song, Miaohui Wang
2026	A*	`conf`	FreeMem: Enhancing Consistency in Long Video Generation via Tuning-Free Memory. AAAI Jibin Peng, Di Lin, Zhecheng Xu, Haoran Lu, Ruonan Liu, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Qing Guo
2025	J	`jnl`	Accurate-PGNet: Learning to Assemble Perceptual Body Parts for Accurate Human Skeleton Establishment. IEEE Trans. Multim. Renjie Zhang, Di Lin, Xin Wang, George Baciu, C. L. Philip Chen, Ping Li
2025	A	`conf`	CVLN-Think: Causal Inference with Counterfactual Style Adaptation for Continuous Vision-and-Language Navigation. IROS Ruonan Liu, Shuai Wu, Di Lin, Weidong Zhang
2025	J	`jnl`	CarveNet: Carving Point-Block for Complex 3D Shape Completion. IEEE Trans. Multim. Qing Guo, Zhijie Wang, Lubo Wang, Haotian Dong, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu
2025	J	`jnl`	Casual Inference via Style Bias Deconfounding for Domain Generalization. CoRR Jiaxi Li, Di Lin, Hao Chen, Hongying Liu, Liang Wan, Wei Feng
2025	J	`jnl`	Causal Counterfactual Faithfulness Generation for Open-Set Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics Ruonan Liu, Puyuan Hu, Siheng Zhao, Di Lin, Weidong Zhang, Steven X. Ding
2025	J	`jnl`	Causal Disentangled Graph Neural Network for Fault Diagnosis of Complex Industrial Process. IEEE Trans. Ind. Informatics Ruonan Liu, Quanhu Zhang, Di Lin, Weidong Zhang, Steven X. Ding
2025	C	`conf`	Causal Regularization Graph Attention Network for Stable Variables Decoupling and Fault Diagnosis of Complex Industrial Processes. INDIN Ruonan Liu, Puyuan Hu, Siheng Zhao, Shifei Ma, Di Lin, Weidong Zhang
2025	J	`jnl`	CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving. CoRR Enhui Ma, Lijun Zhou, Tao Tang, Jiahuan Zhang, Junpeng Jiang, Zhan Zhang, Dong Han, Kun Zhan, Xueyang Zhang, Xianpeng Lang, Haiyang Sun, Xia Zhou, Di Lin, Kaicheng Yu
2025	J	`jnl`	EfficientDeRain+: Learning Uncertainty-Aware Filtering via RainMix Augmentation for High-Efficiency Deraining. Int. J. Comput. Vis. Qing Guo, Hua Qi, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin, Wei Feng, Song Wang
2025	A*	`conf`	Generative Hard Example Augmentation for Semantic Point Cloud Segmentation. CVPR Qi Zhang, Jibin Peng, Zhao Huang, Wei Feng, Di Lin
2025	J	`jnl`	HRC-Net: Learning Visual Hypothesis, Representative, and Collaboration for Multi-Domain Image Inpainting. ACM Trans. Graph. Xin Wang, Di Lin, Wanchao Su, Ji Du, Renjie Zhang, Jie Zhang, Haotian Dong, Ke Xu, Qing Guo, Ping Li
2025	J	`jnl`	Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models. CoRR Ying Yang, Jie Zhang, Xiao Lv, Di Lin, Tao Xiang, Qing Guo
2025	J	`jnl`	NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration. CoRR Haotian Dong, Xin Wang, Di Lin, Yipeng Wu, Qin Chen, Ruonan Liu, Kairui Yang, Ping Li, Qing Guo
2025	A	`conf`	PhysGCN-DL: Physics-Informed Graph Convolutional Networks with Diversity-Aware Loss Optimization for Multimodal Pedestrian Trajectory Prediction. IROS Zihan Jiang, Ruonan Liu, Yibo Zhou, Haibo Lu, Boyuan Yang, Di Lin, Weidong Zhang
2025	J	`jnl`	Point-to-Set Metric-Gated Mixture of Experts for Multisource Domain Adaptation Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Boyuan Yang, Jinyuan Zhang, Ruonan Liu, Di Lin, Ping Li, C. L. Philip Chen
2025	A*	`conf`	SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. CVPR Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor W. Tsang, Yang Liu, Qing Guo
2025	J	`jnl`	Temporal-Interim Pose Synthesis and Distillation for Dynamic Human Pose Estimation. IEEE Trans. Neural Networks Learn. Syst. Renjie Zhang, Di Lin, Xin Wang, Ruonan Liu, Bin Sheng, George Baciu, C. L. Philip Chen, Ping Li
2025	J	`jnl`	Time-variant Image Inpainting via Interactive Distribution Transition Estimation. CoRR Yun Xing, Qing Guo, Xiaohong Li, Yihao Huang, Xiaofeng Cao, Di Lin, Ivor W. Tsang, Lei Ma
2025	A*	`conf`	Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving. ICLR Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Zhao Huang, Yipeng Wu, Die Zuo, Jibin Peng, Ziyuan Zhong, Xin Wang, Qing Guo, Xiaosong Jia, Junchi Yan, Di Lin
2025	J	`jnl`	Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning. CoRR Mingxuan Cui, Qing Guo, Yuyi Wang, Hongkai Yu, Di Lin, Qin Zou, Ming-Ming Cheng, Xi Li
2025	A*	`conf`	mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion. AAAI Geng Chen, Wuyuan Xie, Di Lin, Ye Liu, Miaohui Wang
2024	J	`jnl`	Causal intervention graph neural network for fault diagnosis of complex industrial processes. Reliab. Eng. Syst. Saf. Ruonan Liu, Quanhu Zhang, Di Lin, Weidong Zhang, Steven X. Ding
2024	J	`jnl`	Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes. Reliab. Eng. Syst. Saf. Ruonan Liu, Yunfei Xie, Di Lin, Weidong Zhang, Steven X. Ding
2024	J	`jnl`	Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network. IEEE Internet Things J. Ruonan Liu, Dong Xiao, Di Lin, Weidong Zhang
2024	A*	`conf`	LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks. ICLR Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao
2024	J	`jnl`	LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks. CoRR Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao
2024	J	`jnl`	Non-iterative scribble-supervised learning with pacing pseudo-masks for medical image segmentation. Expert Syst. Appl. Zefan Yang, Di Lin, Dong Ni, Yi Wang
2024	J	`jnl`	Recurrent feature propagation and edge skip-connections for automatic abdominal organ segmentation. Expert Syst. Appl. Zefan Yang, Di Lin, Dong Ni, Yi Wang
2024	J	`jnl`	SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. CoRR Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor W. Tsang, Yang Liu, Qing Guo
2024	J	`jnl`	Sign language translation with hierarchical memorized context in question answering scenarios. Neural Comput. Appl. Liqing Gao, Wei Feng, Peng Shi, Ruize Han, Di Lin, Liang Wang
2024	A*	`conf`	Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire. NeurIPS Yanzhi Li, Keqiu Li, Li Guohui, Zumin Wang, Changqing Ji, Lubo Wang, Die Zuo, Qing Guo, Feng Zhang, Manyu Wang, Di Lin
2024	J	`jnl`	Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation. CoRR Enhui Ma, Lijun Zhou, Tao Tang, Zhan Zhang, Dong Han, Junpeng Jiang, Kun Zhan, Peng Jia, Xianpeng Lang, Haiyang Sun, Di Lin, Kaicheng Yu
2024	A*	`conf`	Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion. NeurIPS Lubo Wang, Di Lin, Kairui Yang, Ruonan Liu, Qing Guo, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Ping Li
2024	A*	`conf`	msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression. AAAI Miaohui Wang, Runnan Huang, Hengjin Dong, Di Lin, Yun Song, Wuyuan Xie
2023	J	`jnl`	BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout. CoRR Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, Kaicheng Yu
2023	A*	`conf`	CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion. ICCV Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin
2023	J	`jnl`	CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion. CoRR Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin
2023	J	`jnl`	Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen
2023	J	`jnl`	GAN-based pencil drawing learning system for art education on large-scale image datasets with learning analytics. Interact. Learn. Environ. Yuxi Jin, Ping Li, Wenxiao Wang, Suiyun Zhang, Di Lin, Chengjiu Yin
2023	A*	`conf`	Leveraging Inpainting for Single-Image Shadow Removal. ICCV Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang
2023	J	`jnl`	Leveraging Inpainting for Single-Image Shadow Removal. CoRR Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang
2023	J	`jnl`	Natural-language-driven Simulation Benchmark and Copilot for Efficient Production of Object Interactions in Virtual Road Scenes. CoRR Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Die Zuo, Jibin Peng, Zhao Huang, Zhecheng Xu, Fupeng Li, Ziyun Bai, Di Lin
2023	J	`jnl`	On the Robustness of Segment Anything. CoRR Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo
2023	A*	`conf`	Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation. NeurIPS Tingliang Feng, Hao Shi, Xueyang Liu, Wei Feng, Liang Wan, Yanlin Zhou, Di Lin
2023	J	`jnl`	Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation. CoRR Tingliang Feng, Hao Shi, Xueyang Liu, Wei Feng, Liang Wan, Yanlin Zhou, Di Lin
2023	J	`jnl`	Phase-based fine-grained change detection. Expert Syst. Appl. Xuzhi Wang, Liang Wan, Di Lin, Wei Feng
2023	J	`jnl`	Surface Geometry Processing: An Efficient Normal-Based Detail Representation. IEEE Trans. Pattern Anal. Mach. Intell. Wuyuan Xie, Miaohui Wang, Di Lin, Boxin Shi, Jianmin Jiang
2023	J	`jnl`	Surface Geometry Processing: An Efficient Normal-based Detail Representation. CoRR Wuyuan Xie, Miaohui Wang, Di Lin, Boxin Shi, Jianmin Jiang
2023	J	`jnl`	TAGNet: Learning Configurable Context Pathways for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Di Lin, Dingguo Shen, Yuanfeng Ji, Siting Shen, Mingrui Xie, Wei Feng, Hui Huang
2023	J	`jnl`	Tampering localization and self-recovery using block labeling and adaptive significance. Expert Syst. Appl. Qiyuan Zhang, Xiaochen Yuan, Tong Liu, Chan-Tong Lam, Guoheng Huang, Di Lin, Ping Li
2022	A*	`conf`	Cross-Image Context for Single Image Inpainting. NeurIPS Tingliang Feng, Wei Feng, Weiqi Li, Di Lin
2022	J	`jnl`	Deep LSAC for Fine-Grained Recognition. IEEE Trans. Neural Networks Learn. Syst. Di Lin, Yi Wang, Lingyu Liang, Ping Li, C. L. Philip Chen
2022	J	`jnl`	Fast and robust active camera relocalization in the wild for fine-grained change detection. Neurocomputing Qian Zhang, Wei Feng, Yi-Bo Shi, Di Lin
2022	A*	`conf`	Generative Status Estimation and Information Decoupling for Image Rain Removal. NeurIPS Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li
2022	A*	`conf`	MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting. CVPR Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang
2022	J	`jnl`	MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting. CoRR Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang
2022	J	`jnl`	Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation. CoRR Zefan Yang, Di Lin, Dong Ni, Yi Wang
2022	J	`jnl`	Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation. CoRR Zefan Yang, Di Lin, Yi Wang
2022	J	`jnl`	Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining. CoRR Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin, Wei Feng, Song Wang
2021	J	`jnl`	CarveNet: Carving Point-Block for Complex 3D Shape Completion. CoRR Qing Guo, Zhijie Wang, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu
2021	—	`conf`	Reciprocal Learning for Semi-supervised Segmentation. MICCAI (2) Xiangyun Zeng, Rian Huang, Yuming Zhong, Dong Sun, Chu Han, Di Lin, Dong Ni, Yi Wang
2020	A*	`conf`	RANet: Region Attention Network for Semantic Segmentation. NeurIPS Dingguo Shen, Yuanfeng Ji, Ping Li, Yi Wang, Di Lin
2020	J	`jnl`	SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images. IEEE Trans. Cybern. Di Lin, Ruimao Zhang, Yuanfeng Ji, Ping Li, Hui Huang
2020	J	`jnl`	Zig-Zag Network for Semantic Segmentation of RGB-D Images. IEEE Trans. Pattern Anal. Mach. Intell. Di Lin, Hui Huang
2019	J	`jnl`	Multiview-coherent disocclusion synthesis using connected regions optimization. Comput. Animat. Virtual Worlds Ping Li, Yuxi Jin, Bin Sheng, Di Lin, Yongwei Nie, Enhua Wu
2019	—	`conf`	PRSNet: Part Relation and Selection Network for Bone Age Assessment. MICCAI (6) Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin
2019	J	`jnl`	PRSNet: Part Relation and Selection Network for Bone Age Assessment. CoRR Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin
2019	J	`jnl`	SAGNet: structure-aware generative network for 3D-shape modeling. ACM Trans. Graph. Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, Hui Huang
2019	A*	`conf`	ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation. CVPR Di Lin, Dingguo Shen, Siting Shen, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang
2018	—	`conf`	Multi-scale Context Intertwining for Semantic Segmentation. ECCV (3) Di Lin, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang
2018	J	`jnl`	Semantic object reconstruction via casual handheld scanning. ACM Trans. Graph. Ruizhen Hu, Cheng Wen, Oliver van Kaick, Luanmin Chen, Di Lin, Daniel Cohen-Or, Hui Huang
2018	J	`jnl`	Structure-aware Generative Network for 3D-Shape Modeling. CoRR Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, Hui Huang
2017	A*	`conf`	Cascaded Feature Network for Semantic Segmentation of RGB-D Images. ICCV Di Lin, Guangyong Chen, Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang
2017	A*	`conf`	Learning to Aggregate Ordinal Labels by Maximizing Separating Width. ICML Guangyong Chen, Shengyu Zhang, Di Lin, Hui Huang, Pheng-Ann Heng
2017	J	`jnl`	RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition. IEEE Trans. Image Process. Di Lin, Cewu Lu, Hui Huang, Jiaya Jia
2017	J	`jnl`	Two-Class Weather Classification. IEEE Trans. Pattern Anal. Mach. Intell. Cewu Lu, Di Lin, Jiaya Jia, Chi-Keung Tang
2016	A*	`conf`	ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation. CVPR Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun
2016	J	`jnl`	ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation. CoRR Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun
2015	A*	`conf`	Deep LAC: Deep localization, alignment and classification for fine-grained recognition. CVPR Di Lin, Xiaoyong Shen, Cewu Lu, Jiaya Jia
2014	A*	`conf`	Learning Important Spatial Pooling Regions for Scene Classification. CVPR Di Lin, Cewu Lu, Renjie Liao, Jiaya Jia
2014	A*	`conf`	Two-Class Weather Classification. CVPR Cewu Lu, Di Lin, Jiaya Jia, Chi-Keung Tang