Lv Tang

Orcid: 0000-0001-7359-1057

According to our database1, Lv Tang authored at least 38 papers between 2019 and 2025.

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

Timeline

2019
2020
2021
2022
2023
2024
2025
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Legend:

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Links

On csauthors.net:

Bibliography

2025
Blending-Target Domain Adaptation for Intelligent Fault Recognition With Minimum Cycle Spiking Encoding and Adversarial Attack.
IEEE Trans. Ind. Informatics, January, 2025

Towards Training-Free Open-World Segmentation via Image Prompt Foundation Models.
Int. J. Comput. Vis., January, 2025

GCVIF: Pioneering Explainable Domain-Shared Representation Learning for Fault Signal Detection in Multiple Working States Simultaneously.
IEEE Internet Things J., 2025

2024
Unified and Scalable Deep Image Compression Framework for Human and Machine.
ACM Trans. Multim. Comput. Commun. Appl., October, 2024

High Efficiency Deep-learning Based Video Compression.
ACM Trans. Multim. Comput. Commun. Appl., August, 2024

From Composited to Real-World: Transformer-Based Natural Image Matting.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Noisy Open Set Adversarial Domain Adaption for Bearing Fault Diagnosis Based on Optimized Divergence.
IEEE Trans. Instrum. Meas., 2024

Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression.
CoRR, 2024

Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2.
CoRR, 2024

Scalable Visual State Space Model with Fractal Scanning.
CoRR, 2024

Open set transfer learning for bearing defect recognition based on selective momentum contrast and dual adversarial structure.
Adv. Eng. Informatics, 2024

Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

VQNeRV: Vector Quantization Neural Representation for Video Compression.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Zero-Shot Co-Salient Object Detection Framework.
Proceedings of the IEEE International Conference on Acoustics, 2024

ASAM: Boosting Segment Anything Model with Adversarial Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Transfer reinforcement learning method with multi-label learning for compound fault recognition.
Adv. Eng. Informatics, January, 2023

Enhanced Quantified Local Implicit Neural Representation for Image Compression.
IEEE Signal Process. Lett., 2023

An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion.
Reliab. Eng. Syst. Saf., 2023

Generalization and Hallucination of Large Vision-Language Models through a Camouflaged Lens.
CoRR, 2023

Towards Training-free Open-world Segmentation via Image Prompting Foundation Models.
CoRR, 2023

Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection.
CoRR, 2023

HM-PCGC: A Human-Machine Balanced Point Cloud Geometry Compression Scheme.
Proceedings of the IEEE International Conference on Image Processing, 2023

Scene Matters: Model-based Deep Video Compression.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Toward Stable Co-Saliency Detection and Object Co-Segmentation.
IEEE Trans. Image Process., 2022

Re-Thinking the Relations in Co-Saliency Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Multitarget domain adaptation with transferable hyperbolic prototypes for intelligent fault diagnosis.
Knowl. Based Syst., 2022

Towards Stable Co-saliency Detection and Object Co-segmentation.
CoRR, 2022

Foldingnet-Based Geometry Compression of Point Cloud with Multi Descriptions.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Rethinking Two-B-Real Net for Real-Time Salient Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Detecting Camouflaged Object in Frequency Domain.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Disentangled High Quality Salient Object Detection.
CoRR, 2021

CoSformer: Detecting Co-Salient Object with Transformers.
CoRR, 2021

Disentangled High Quality Salient Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fast: Feature Aggregation for Detecting Salient Object in Real-Time.
Proceedings of the IEEE International Conference on Acoustics, 2021

Highly Efficient Natural Image Matting.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
CLASS: Cross-Level Attention and Supervision for Salient Objects Detection.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Two-B-real Net: Two-branch Network for Real-time Salient Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019


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