Chengtao Lv

According to our database, Chengtao Lv authored at least 25 papers between 2023 and 2026.

Collaborative distances:

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

2026

G²HFNet: GeoGran-Aware Hierarchical Feature Fusion Network for Salient Object Detection in Optical Remote Sensing Images.

Bin Wan, Runmin Cong, Xiaofei Zhou, Hao Fang, Chengtao Lv, Sam Kwong

IEEE Trans. Circuits Syst. Video Technol., May, 2026

RSONet: Region-guided Selective Optimization Network for RGB-T Salient Object Detection.

Bin Wan, Runmin Cong, Xiaofei Zhou, Hao Fang, Chengtao Lv, Sam Kwong

CoRR, March, 2026

G2HFNet: GeoGran-Aware Hierarchical Feature Fusion Network for Salient Object Detection in Optical Remote Sensing Images.

Bin Wan, Runmin Cong, Xiaofei Zhou, Hao Fang, Chengtao Lv, Sam Kwong

CoRR, March, 2026

Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention.

Chengtao Lv, Yumeng Shi, Yushi Huang, Ruihao Gong, Shen Ren, Wenya Wang

CoRR, February, 2026

LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit.

Chengtao Lv, Bilang Zhang, Yang Yong, Ruihao Gong, Yushi Huang, Shiqiao Gu, Jiajun Wu, Yumeng Shi, Jinyang Guo, Wenya Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation.

Yushi Huang, Xingtong Ge, Ruihao Gong, Chengtao Lv, Jun Zhang

CoRR, October, 2025

QVGen: Pushing the Limit of Quantized Video Generative Models.

Yushi Huang, Ruihao Gong, Jing Liu, Yifu Ding, Chengtao Lv, Haotong Qin, Jun Zhang

CoRR, May, 2025

Causality-Inspired Debiasing Learning for Open World Object Detection.

Xiaowei Zhao, Yuqing Ma, Chengtao Lv, Jiakai Wang, Xianglong Liu

IEEE Trans. Multim., 2025

A survey of low-bit large language models: Basics, systems, and algorithms.

Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Yang Yong, Shiqiao Gu, Haotong Qin, Jinyang Guo, Dahua Lin, Michele Magno, Xianglong Liu

Neural Networks, 2025

2024

Transformer-Based Cross-Modal Integration Network for RGB-T Salient Object Detection.

Chengtao Lv, Xiaofei Zhou, Bin Wan, Shuai Wang, Yaoqi Sun, Jiyong Zhang, Chenggang Yan

IEEE Trans. Consumer Electron., May, 2024

TMNet: Triple-modal interaction encoder and multi-scale fusion decoder network for V-D-T salient object detection.

Bin Wan, Chengtao Lv, Xiaofei Zhou, Yaoqi Sun, Zunjie Zhu, Hongkui Wang, Chenggang Yan

Pattern Recognit., March, 2024

Lightweight Cross-Modal Information Mutual Reinforcement Network for RGB-T Salient Object Detection.

Chengtao Lv, Bin Wan, Xiaofei Zhou, Yaoqi Sun, Jiyong Zhang, Chenggang Yan

Entropy, February, 2024

An empirical study of LLaMA3 quantization: from LLMs to MLLMs.

Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno

Vis. Intell., 2024

MFFNet: Multi-Modal Feature Fusion Network for V-D-T Salient Object Detection.

Bin Wan, Xiaofei Zhou, Yaoqi Sun, Tingyu Wang, Chengtao Lv, Shuai Wang, Haibing Yin, Chenggang Yan

IEEE Trans. Multim., 2024

A foreground-context dual-guided network for light-field salient object detection.

Xin Zheng, Boyang Wang, Deyang Liu, Chengtao Lv, Jiebin Yan, Ping An

Signal Process. Image Commun., 2024

ADNet: Anti-noise dual-branch network for road defect detection.

Bin Wan, Xiaofei Zhou, Yaoqi Sun, Tingyu Wang, Chengtao Lv, Shuai Wang, Haibing Yin, Chenggang Yan

Eng. Appl. Artif. Intell., 2024

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms.

Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu

CoRR, 2024

PTQ4SAM: Post-Training Quantization for Segment Anything.

Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu

CoRR, 2024

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study.

Wei Huang, Xudong Ma, Haotong Qin, Xingyu Zheng, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno

CoRR, 2024

QVD: Post-training Quantization for Video Diffusion Models.

Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit.

Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chengtao Lv, Yunchen Zhang, Dacheng Tao, Xianglong Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

PTQ4SAM: Post-Training Quantization for Segment Anything.

Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DB-LLM: Accurate Dual-Binarization for Efficient LLMs.

Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

SRI-Net: Similarity retrieval-based inference network for light field salient object detection.

Chengtao Lv, Xiaofei Zhou, Bin Zhu, Deyang Liu, Bolun Zheng, Jiyong Zhang, Chenggang Yan

J. Vis. Commun. Image Represent., February, 2023

CDMNet: Contrastive Distribution Mapped Network for Infrared Small Target Detection.

Chengtao Lv, Jinyang Guo, Jiaqi Yu, Ruiyan Zhang, Xianglong Liu

Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2023