IDV Lab

2024

EfficientDeRain+: Learning Uncertainty-Aware Filtering via RainMixAugmentation for High-Efficiency Deraining

International Journal of Computer Vision (IJCV), 2024.

Qing Guo, Hua Qi, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin (Corresponding Author), Wei Feng, Song Wang.

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2024

Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion

Neural Information Processing Systems (NeurIPS), 2024.

Lubo Wang, Di Lin (Co-first Author), Kairui Yang, Ruonan Liu, Qing Guo, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Ping Li.

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2024

Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire

Neural Information Processing Systems (NeurIPS), 2024.

Yanzhi Li, Keqiu Li, Guohui Li, Zumin Wang, Chanqing Ji, Lubo Wang, Die Zuo, Qing Guo, Feng Zhang, Manyu Wang, Di Lin (Corresponding Author).

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2024

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

IEEE Transactions on Multimedia (TMM), 2024.

Qing Guo, Zhijie Wang, Lubo Wang, Haotian Dong, Felix Juefei-Xu, Di Lin (Corresponding Author), Lei Ma, Wei Feng, Yang Liu.

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2024

Accurate-PGNet: Learning to Assemble Perceptual Body Parts for Accurate Human Skeleton Establishment

IEEE Transactions on Multimedia (TMM), 2024.

Renjie Zhang, Di Lin (Co-first Author), Xin Wang, George Baciu, C. L. Philip Chen, Ping Li.

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2024

Causal Disentangled Graph Neural Network for Fault Diagnosis of Complex Industrial Process

IEEE Transactions on Industrial Informatics (TII), 2024.

Ruonan Liu, Quanhu Zhang, Di Lin (Corresponding Author), Weidong Zhang, Steven X. Ding.

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2024

Intelligent Bearing Anomaly Detection for Industrial Internet of Things based on Auto-encoder Wasserstein Generative Adversarial Network

IEEE Internet of Things Journal (IoTJ), 2024.

Ruonan Liu, Dong Xiao, Di Lin (Corresponding Author), Weidong Zhang.

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2024

Information-based Gradient Enhanced Causal Learning Graph Neural Network for Fault Diagnosis of Complex Industrial Processes

Reliability Engineering & System Safety (RESS), 2024.

Ruonan Liu, Yunfei Xie, Di Lin (Corresponding Author), Weidong Zhang, Steven X.Ding.

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2024

Causal Intervention Graph Neural Network based Fault Diagnosis for Complex Industrial Processes

Reliability Engineering & System Safety (RESS), 2024.

Ruonan Liu, Quanhu Zhang, Di Lin (Corresponding Author), Weidong Zhang, Steven X.Ding.

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2024

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

International Conference on Learning Representations (ICLR), 2024.

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

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2024

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

AAAI Conference on Artificial Intelligence (AAAI), 2024.

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

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2024

Non-iterative Scribble-supervised Learning with Pacing Pseudo-masks for Medical Image Segmentation

Expert Systems with Applications, 2024.

Zefan Yang, Di Lin, Dong Ni, Yi Wang.