Publications | Yawei Li

2025

WIP

Revisiting Atomic Rounding with Vectorized Reparameterization for LLM Quantization

Yuli Zhou, Qingxuan Chen, Guolei Sun, Luca Benini, and Yawei Li

Work in Progress, 2025

@article{zhou2025vqround,
  title = {Revisiting Atomic Rounding with Vectorized Reparameterization for LLM Quantization},
  journal = {Work in Progress},
  author = {Zhou, Yuli and Chen, Qingxuan and Sun, Guolei and Benini, Luca and Li, Yawei},
  year = {2025},
}

WIP

Brain Signal Rendering: Inverting 2D EEG Projections into 4D Physics for Data-Efficient Brain Decoding

Wei Wang, Yifan Li, Wanying Qu, Yawei Li, Quanying Liu, and Yanwei Fu

Work in Progress, 2025

Bib

@article{wang2025bsr,
  title = {Brain Signal Rendering: Inverting 2D EEG Projections into 4D Physics for Data-Efficient Brain Decoding},
  journal = {Work in Progress},
  author = {Wang, Wei and Li, Yifan and Qu, Wanying and Li, Yawei and Liu, Quanying and Fu, Yanwei},
  year = {2025},
}

WIP

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery

Yichang Liu, Tianyu Wang, Ziyi Ye, Yawei Li, Yanwei Fu, Yu-Gang Jiang, and Shouyan Wang

Work in Progress, 2025

Bib

@article{liu2025robotic,
  title = {Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery},
  journal = {Work in Progress},
  author = {Liu, Yichang and Wang, Tianyu and Ye, Ziyi and Li, Yawei and Fu, Yanwei and Jiang, Yu-Gang and Wang, Shouyan},
  year = {2025},
}

WIP

AMDC: Adaptive Multi-Agent Data Curation for Robust Long-Tail Recognition

Shenghan Chen, Yiming Liu, Yanzhen Wang, Xiankai Lu, and Yawei Li

Work in Progress, 2025

Bib

@article{che2025amdc,
  title = {AMDC: Adaptive Multi-Agent Data Curation for Robust Long-Tail Recognition},
  journal = {Work in Progress},
  author = {Chen, Shenghan and Liu, Yiming and Wang, Yanzhen and Lu, Xiankai and Li, Yawei},
  year = {2025},
}

Visual Intelligence

When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation

Yuli Zhou, Guolei Sun, Yawei Li, Guo-Sen Xie, Luca Benini, and Ender Konukoglu

Visual Intelligence, 2025

DOI Bib PDF

@article{zhou2025sam2,
  title = {When {SAM2} Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation},
  author = {Zhou, Yuli and Sun, Guolei and Li, Yawei and Xie, Guo-Sen and Benini, Luca and Konukoglu, Ender},
  journal = {Visual Intelligence},
  volume = {3},
  number = {1},
  pages = {10},
  year = {2025},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/s44267-025-00082-1}
}

Arxiv

Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs

Hang Guo, Yawei Li, and Luca Benini

arXiv preprint arXiv:2509.11177, 2025

DOI Bib PDF

@article{guo2025optimal,
  title = {Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs},
  author = {Guo, Hang and Li, Yawei and Benini, Luca},
  journal = {arXiv preprint arXiv:2509.11177},
  year = {2025},
  doi = {10.48550/arXiv.2509.11177}
}

Arxiv

Towards Extreme Pruning of LLMs with Plug-and-Play Mixed Sparsity

Chi Xu, Gefei Zhang, Yantong Zhu, Luca Benini, Guosheng Hu, Yawei Li, and Zhihong Zhang

arXiv preprint arXiv:2503.11164, 2025

DOI Bib PDF

@article{xu2025msp,
  title = {Towards Extreme Pruning of LLMs with Plug-and-Play Mixed Sparsity},
  author = {Xu, Chi and Zhang, Gefei and Zhu, Yantong and Benini, Luca and Hu, Guosheng and Li, Yawei and Zhang, Zhihong},
  journal = {arXiv preprint arXiv:2503.11164},
  year = {2025},
  doi = {10.48550/arXiv.2503.11164}
}

Arxiv

CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention

Alexandru Dimofte, Glenn Anta Bucagu, Thorir Mar Ingolfsson, Xiaying Wang, Andrea Cossettini, Luca Benini, and Yawei Li

arXiv preprint arXiv:2501.10885, 2025

DOI Bib PDF

@article{dimofte2025cerebro,
  title = {CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention},
  author = {Dimofte, Alexandru and Bucagu, Glenn Anta and Ingolfsson, Thorir Mar and Wang, Xiaying and Cossettini, Andrea and Benini, Luca and Li, Yawei},
  journal = {arXiv preprint arXiv:2501.10885},
  year = {2025},
  doi = {10.48550/arXiv.2501.10885}
}

NeurIPS

PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation

Yanlong Chen, Mattia Orlandi, Pierangelo Maria Rapa, Simone Benatti, Luca Benini, and Yawei Li

In Advances in Neural Information Processing Systems (NeurIPS), 2025

DOI Bib PDF

@inproceedings{chen2025physiowave,
  title = {PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation},
  author = {Chen, Yanlong and Orlandi, Mattia and Rapa, Pierangelo Maria and Benatti, Simone and Benini, Luca and Li, Yawei},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  doi = {10.48550/arXiv.2506.10351}
}

NeurIPS

LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis

Berkay Döner, Thorir Mar Ingolfsson, Luca Benini, and Yawei Li

In Advances in Neural Information Processing Systems (NeurIPS), 2025

Bib PDF

@inproceedings{doner2025luna,
  title = {LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis},
  author = {D{\"o}ner, Berkay and Ingolfsson, Thorir Mar and Benini, Luca and Li, Yawei},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=TWaw5qtKQf}
}

NeurIPS

CamSAM2: Segment Anything Accurately in Camouflaged Videos

Yuli Zhou, Guolei Sun, Yawei Li, Yuqian Fu, Luca Benini, and Ender Konukoglu

In Advances in Neural Information Processing Systems (NeurIPS), 2025

DOI Bib PDF

@inproceedings{zhou2025camsam2,
  title = {CamSAM2: Segment Anything Accurately in Camouflaged Videos},
  author = {Zhou, Yuli and Sun, Guolei and Li, Yawei and Fu, Yuqian and Benini, Luca and Konukoglu, Ender},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  doi = {10.48550/arXiv.2503.19730}
}

ICCV

FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning

Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, and Luca Benini

In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DOI Bib PDF

@inproceedings{hang2025fastvar,
  title = {{FastVAR}: Linear Visual Autoregressive Modeling via Cached Token Pruning},
  author = {Guo, Hang and Li, Yawei and Zhang, Taolin and Wang, Jiangshan and Dai, Tao and Xia, Shu-Tao and Benini, Luca},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  doi = {10.48550/arXiv.2503.23367},
  year = {2025}
}

NER

WaveFormer: A Lightweight Transformer Model for Real-time sEMG-based Gesture Recognition

Yanlong Chen, Mattia Orlandi Orlandi, Pierangelo Maria Rapa, Simone Benatti, Luca Benini, and Yawei Li

In The International IEEE/EMBS Conference on Neural Engineering (NER), 2025

DOI Bib PDF

@inproceedings{chen2025waveformer,
  title = {{WaveFormer}: A Lightweight Transformer Model for Real-time {sEMG}-based Gesture Recognition},
  author = {Chen, Yanlong and Orlandi, Mattia Orlandi and Rapa, Pierangelo Maria and Benatti, Simone and Benini, Luca and Li, Yawei},
  booktitle = {The International IEEE/EMBS Conference on Neural Engineering (NER)},
  year = {2025},
  doi = {https://doi.org/10.48550/arXiv.2506.11168}
}

CASES

Design and Optimization for AI/ML Acceleration on Resource-constrained and Edge Systems

Jalil Boukhobza, Alessio Burrello, Yuan-Hao Chang, Yawei Li, Daniele Jahier Pagliari, Chun-Feng Wu, Ming-Chang Yang, and Tsun-Yu Yang

In International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES), 2025

Bib

@inproceedings{boukhobza2025esweek,
  title = {Design and Optimization for AI/ML Acceleration on Resource-constrained and Edge Systems},
  author = {Boukhobza, Jalil and Burrello, Alessio and Chang, Yuan-Hao and Li, Yawei and Jahier Pagliari, Daniele and Wu, Chun-Feng and Yang, Ming-Chang and Yang, Tsun-Yu},
  booktitle = {International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES)},
  year = {2025}
}

ISVLSI

FlatAttention: Dataflow and Fabric Collectives Co-Optimization for Efficient Multi-Head Attention on Tile-Based Many-PE Accelerators

Chi Zhang, Luca Colagrande, Renzo Andri, Thomas Benz, Gamze Islamoglu, Alessandro Nadalini, Francesco Conti, Yawei Li, and Luca Benini

In IEEE Computer Society Annual Symposium on VLSI, 2025

DOI Bib PDF

@inproceedings{zhang2025flatattention,
  title = {FlatAttention: Dataflow and Fabric Collectives Co-Optimization for Efficient Multi-Head Attention on Tile-Based Many-PE Accelerators},
  booktitle = {IEEE Computer Society Annual Symposium on VLSI},
  author = {Zhang, Chi and Colagrande, Luca and Andri, Renzo and Benz, Thomas and Islamoglu, Gamze and Nadalini, Alessandro and Conti, Francesco and Li, Yawei and Benini, Luca},
  doi = {10.48550/arXiv.2505.18824},
  year = {2025}
}

GLOBECOM

A Compute&Memory Efficient Model-Driven Neural 5G Receiver for Edge AI-assisted RAN

Mahdi Abdollahpour, Marco Bertuletti, Yichao Zhang, Yawei Li, Luca Benini, and Alessandro Vanelli-Coralli

In IEEE Conference on Global Communications (GLOBECOM), 2025

DOI Bib PDF

@inproceedings{abdollahpour2025mdx,
  title = {A Compute\&Memory Efficient Model-Driven Neural  5G Receiver for Edge AI-assisted RAN},
  booktitle = {IEEE Conference on Global Communications (GLOBECOM)},
  author = {Abdollahpour, Mahdi and Bertuletti, Marco and Zhang, Yichao and Li, Yawei and Benini, Luca and Vanelli-Coralli, Alessandro},
  year = {2025},
  doi = {10.48550/arXiv.2508.12892}
}

ICML

IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models

Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, and Luca Benini

In Proceedings of International Conference on Machine Learning, 2025

DOI Bib PDF

@inproceedings{guo2025intlora,
  title = {IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models},
  author = {Guo, Hang and Li, Yawei and Dai, Tao and Xia, Shu-Tao and Benini, Luca},
  booktitle = {Proceedings of International Conference on Machine Learning},
  year = {2025},
  doi = {10.48550/arXiv.2410.21759}
}

ICML

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models

Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Qinshuo Liu, Xianglong Liu, Luca Benini, Michele Magno, Shiming Zhang, and Xiaojuan Qi

In Proceedings of International Conference on Machine Learning, 2025

DOI Bib PDF

@inproceedings{huang2025slim,
  title = {SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models},
  author = {Huang, Wei and Qin, Haotong and Liu, Yangdong and Li, Yawei and Liu, Qinshuo and Liu, Xianglong and Benini, Luca and Magno, Michele and Zhang, Shiming and Qi, Xiaojuan},
  booktitle = {Proceedings of International Conference on Machine Learning},
  year = {2025},
  doi = {10.48550/arXiv.2405.14917}
}

EMBC

FEMBA: Efficient and Scalable EEG Analysis with a Bidirectional Mamba Foundation Model

Anna Teagon, Thorir Mar Ingolfsson, Xiaying Wang, Luca Benini, and Yawei Li

In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025

DOI Bib PDF

@inproceedings{tegon2025femba,
  title = {FEMBA: Efficient and Scalable EEG Analysis with a Bidirectional Mamba Foundation Model},
  author = {Teagon, Anna and Ingolfsson, Thorir Mar and Wang, Xiaying and Benini, Luca and Li, Yawei},
  booktitle = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year = {2025},
  doi = {10.48550/arXiv.2502.06438}
}

EMBC

Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation

Bálint Tóth, Dominik Senti, Thorir Mar Ingolfsson, Jeffrey Zweidler, Alexandre Elsig, Luca Benini, and Yawei Li

In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025

DOI Bib PDF

@inproceedings{toth2025finetuning,
  title = {Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation},
  author = {T{\'o}th, B{\'a}lint and Senti, Dominik and Ingolfsson, Thorir Mar and Zweidler, Jeffrey and Elsig, Alexandre and Benini, Luca and Li, Yawei},
  booktitle = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year = {2025},
  doi = {10.48550/arXiv.2502.17460}
}

CVPR

MambaIRv2: Attentive State Space Restoration

Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, and Yawei Li

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DOI Bib PDF

@inproceedings{guo2025mambairv2,
  title = {{MambaIRv2}: Attentive State Space Restoration},
  author = {Guo, Hang and Guo, Yong and Zha, Yaohua and Zhang, Yulun and Li, Wenbo and Dai, Tao and Xia, Shu-Tao and Li, Yawei},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2025},
  doi = {10.1109/CVPR52734.2025.02619}
}

CVPR

Semantic and Sequential Alignment for Referring Video Object Segmentation

Feiyu Pan, Hao Fang, Fangkai Li, Yanyu Xu, Yawei Li, Luca Benini, and Xiankai Lu

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DOI Bib PDF

@inproceedings{pan2025ssa,
  title = {Semantic and Sequential Alignment for Referring Video Object Segmentation},
  author = {Pan, Feiyu and Fang, Hao and Li, Fangkai and Xu, Yanyu and Li, Yawei and Benini, Luca and Lu, Xiankai},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2025},
  doi = {10.1109/CVPR52734.2025.01776}
}

CVPR

MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures

Lucas Morin, Valéry Weber, Ahmed Nassar, Gerhard Ingmar Meijer, Luc Van Gool, Yawei Li, and Peter WJ Staar

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DOI Bib PDF

@inproceedings{morin2025markush,
  title = {MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures},
  author = {Morin, Lucas and Weber, Val{\'e}ry and Nassar, Ahmed and Meijer, Gerhard Ingmar and Van Gool, Luc and Li, Yawei and Staar, Peter WJ},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2025},
  doi = {10.1109/CVPR52734.2025.01352}
}

ECAI

How Many Does It Take to Prune a Network: Comparing One-Shot vs. Iterative Pruning Regimes

Tomasz Wojnar, Mikołaj Janusz, Yawei Li, Luca Benini, and Kamil Adamczewski

In Proceedings the of European Conference on Artificial Intelligence, 2025

DOI Bib PDF

@inproceedings{wojnar2025many,
  title = {How Many Does It Take to Prune a Network: Comparing One-Shot vs. Iterative Pruning Regimes},
  author = {Wojnar, Tomasz and Janusz, Miko{\l}aj and Li, Yawei and Benini, Luca and Adamczewski, Kamil},
  booktitle = {Proceedings the of European Conference on Artificial Intelligence},
  year = {2025},
  doi = {10.48550/arXiv.2508.13836}
}

2024

TIP

VRT: A Video Restoration Transformer

Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, and Luc Van Gool

IEEE Transactions on Image Processing, 2024

DOI Bib PDF

@article{liang2024vrt,
  author = {Liang, Jingyun and Cao, Jiezhang and Fan, Yuchen and Zhang, Kai and Ranjan, Rakesh and Li, Yawei and Timofte, Radu and Van Gool, Luc},
  journal = {IEEE Transactions on Image Processing},
  title = {VRT: A Video Restoration Transformer},
  year = {2024},
  volume = {},
  number = {},
  pages = {1-1},
  keywords = {Video Restoration;Video Super-Resolution;Video Deblurring;Video Denoising;Video Frame Interpolation;Space-Time Video Super-Resolution},
  doi = {10.1109/TIP.2024.3372454}
}

NeurIPS

Sharing Key Semantics in Transformer Makes Efficient Image Restoration

Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, and Nicu Sebe

In Advances in Neural Information Processing Systems, 2024

DOI Bib PDF

@inproceedings{ren2024sharing,
  title = {Sharing Key Semantics in Transformer Makes Efficient Image Restoration},
  author = {Ren, Bin and Li, Yawei and Liang, Jingyun and Ranjan, Rakesh and Liu, Mengyuan and Cucchiara, Rita and Van Gool, Luc and Yang, Ming-Hsuan and Sebe, Nicu},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2024},
  doi = {10.48550/arXiv.2405.20008}
}

ECCV

Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation

Hao Fang, Peng Wu, Yawei Li, Xinxin Zhang, and Xiankai Lu

In Proceedings of the European Conference on Computer Vision, 2024

DOI Bib PDF

@inproceedings{fang2024unified,
  title = {Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation},
  author = {Fang, Hao and Wu, Peng and Li, Yawei and Zhang, Xinxin and Lu, Xiankai},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  year = {2024},
  doi = {10.1007/978-3-031-72897-6_13}
}

ACCV

Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning

Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, and Nicu Sebe

In Proceedings of the Asian Conference on Computer Vision, 2024

DOI Bib PDF

@inproceedings{ren2024bringing,
  title = {Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning},
  author = {Ren, Bin and Mei, Guofeng and Paudel, Danda Pani and Wang, Weijie and Li, Yawei and Liu, Mengyuan and Cucchiara, Rita and Van Gool, Luc and Sebe, Nicu},
  booktitle = {Proceedings of the Asian Conference on Computer Vision},
  year = {2024},
  doi = {10.1007/978-981-96-0963-5_4}
}

ECCV

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO

Julian Moosmann, Pietro Bonazzi, Yawei Li, Sizhen Bian, Philipp Mayer, Luca Benini, and Michele Magno

In Proceedings of the European conference on computer vision Workshops, 2024

DOI Bib PDF

@inproceedings{moosmann2024ultra,
  title = {Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with {TinyissimoYOLO}},
  author = {Moosmann, Julian and Bonazzi, Pietro and Li, Yawei and Bian, Sizhen and Mayer, Philipp and Benini, Luca and Magno, Michele},
  booktitle = {Proceedings of the European conference on computer vision Workshops},
  year = {2024},
  doi = {10.1007/978-3-031-91989-3_17}
}

CVPR

Retina: Low-Power Eye Tracking with Event Camera and Spiking Hardware

Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis, Yawei Li, Sadique Sheik, and Michele Magno

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

DOI Bib PDF

@inproceedings{bonazzi2024retina,
  title = {Retina: Low-Power Eye Tracking with Event Camera and Spiking Hardware},
  author = {Bonazzi, Pietro and Bian, Sizhen and Lippolis, Giovanni and Li, Yawei and Sheik, Sadique and Magno, Michele},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year = {2024},
  doi = {10.1109/CVPRW63382.2024.00577}
}

CVPR

Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary

Leheng Zhang, Yawei Li, Xingyu Zhou, Xiaorui Zhao, and Shuhang Gu

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

DOI Bib PDF

@inproceedings{zhang2024_atdsr,
  title = {Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary},
  author = {Zhang, Leheng and Li, Yawei and Zhou, Xingyu and Zhao, Xiaorui and Gu, Shuhang},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2024},
  doi = {10.1109/CVPR52733.2024.00276}
}

AICAS

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis

Pietro Bonazzi, Yawei Li, Sizhen Bian, and Michele Magno

In Proceedings of the IEEE 6th International Conference on AI Circuits and Systems (AICAS), 2024

DOI Bib PDF

@inproceedings{bonazzi2024q-segment,
  title = {Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis},
  author = {Bonazzi, Pietro and Li, Yawei and Bian, Sizhen and Magno, Michele},
  booktitle = {Proceedings of the IEEE 6th International Conference on AI Circuits and Systems (AICAS)},
  year = {2024},
  doi = {10.1109/AICAS59952.2024.10595956}
}

2023

MIR

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis

Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, and Luc Van Gool

Machine Intelligence Research, 2023

DOI Bib PDF

@article{zhang2023practical,
  title = {Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis},
  author = {Zhang, Kai and Li, Yawei and Liang, Jingyun and Cao, Jiezhang and Zhang, Yulun and Tang, Hao and Timofte, Radu and Van Gool, Luc},
  journal = {Machine Intelligence Research},
  volume = {20},
  number = {6},
  pages = {822--836},
  year = {2023},
  publisher = {Springer},
  doi = {10.1007/s11633-023-1466-0}
}

IROS

LocalViT: Analyzing Locality in Vision Transformers

Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, and Luc Van Gool

In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2023

DOI Bib PDF

@inproceedings{li2023localvit,
  title = {{LocalViT}: Analyzing Locality in Vision Transformers},
  author = {Li, Yawei and Zhang, Kai and Cao, Jiezhang and Timofte, Radu and Magno, Michele and Benini, Luca and Van Gool, Luc},
  booktitle = {Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year = {2023},
  doi = {10.1109/IROS55552.2023.10342025}
}

IEEE Sensors

TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision for In-Sensor Gaze Estimation

Pietro Bonazzi, Thomas Ruegg, Sizhen Bian, Yawei Li, and Michele Magno

In Proceedings of IEEE Sensors, 2023

DOI Bib PDF

@inproceedings{bonazzi2023tinytracker,
  title = {{TinyTracker}: Ultra-Fast and Ultra-Low-Power Edge Vision for In-Sensor Gaze Estimation},
  author = {Bonazzi, Pietro and Ruegg, Thomas and Bian, Sizhen and Li, Yawei and Magno, Michele},
  booktitle = {Proceedings of IEEE Sensors},
  year = {2023},
  doi = {10.1109/SENSORS56945.2023.10325167}
}

CVPR

Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, and Luc Van Gool

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DOI Bib PDF

@inproceedings{li2023efficient,
  title = {Efficient and Explicit Modelling of Image Hierarchies for Image Restoration},
  author = {Li, Yawei and Fan, Yuchen and Xiang, Xiaoyu and Demandolx, Denis and Ranjan, Rakesh and Timofte, Radu and Van Gool, Luc},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  doi = {10.1109/CVPR52729.2023.01753},
  year = {2023}
}

CVPR

LSDIR: A large Scale Dataset for Image Restoration

Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, and Luc Van Gool

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023

DOI Bib HTML PDF

@inproceedings{li2023lsdir,
  title = {{LSDIR}: A large Scale Dataset for Image Restoration},
  author = {Li, Yawei and Zhang, Kai and Liang, Jingyun and Cao, Jiezhang and Liu, Ce and Gong, Rui and Zhang, Yulun and Tang, Hao and Liu, Yun and Demandolx, Denis and Ranjan, Rakesh and Timofte, Radu and Van Gool, Luc},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year = {2023},
  doi = {10.1109/CVPRW59228.2023.00178}
}

CVPR

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution

Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, and Luc Van Gool

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DOI Bib PDF

@inproceedings{cao2023ciaosr,
  title = {{CiaoSR}: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution},
  author = {Cao, Jiezhang and Wang, Qin and Xian, Yongqin and Li, Yawei and Ni, Bingbing and Pi, Zhiming and Zhang, Kai and Zhang, Yulun and Timofte, Radu and Van Gool, Luc},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2023},
  doi = {10.1109/CVPR52729.2023.00179}
}

ICME

Learning Continuous Piecewise Non-Linear Activation Functions for Deep Neural Networks

Xinchen Gao, Yawei Li, Wen Li, Lixin Duan, Luc Van Gool, Luca Benini, and Michele Magno

In Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

DOI Bib PDF

@inproceedings{gao2023learning,
  title = {Learning Continuous Piecewise Non-Linear Activation Functions for Deep Neural Networks},
  author = {Gao, Xinchen and Li, Yawei and Li, Wen and Duan, Lixin and Van Gool, Luc and Benini, Luca and Magno, Michele},
  booktitle = {Proceedings of the IEEE International Conference on Multimedia and Expo},
  year = {2023},
  doi = {10.1109/ICME55011.2023.00315}
}

2022

TPAMI

Plug-and-Play Image Restoration with Deep Denoiser Prior

Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, and Radu Timofte

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

DOI Bib PDF

@article{zhang2022plug,
  title = {Plug-and-Play Image Restoration with Deep Denoiser Prior},
  author = {Zhang, Kai and Li, Yawei and Zuo, Wangmeng and Zhang, Lei and Van Gool, Luc and Timofte, Radu},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {2022},
  publisher = {IEEE},
  doi = {10.1109/TPAMI.2021.3088914}
}

ECCV

Reference-based Image Super-Resolution with Deformable Attention Transformer

Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, and Luc Van Gool

In Proceedings of the European Conference on Computer Vision, 2022

DOI Bib PDF

@inproceedings{cao2022reference,
  title = {Reference-based Image Super-Resolution with Deformable Attention Transformer},
  author = {Cao, Jiezhang and Liang, Jingyun and Zhang, Kai and Li, Yawei and Zhang, Yulun and Wang, Wenguan and Gool, Luc Van},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  year = {2022},
  doi = {10.1007/978-3-031-19797-0_19}
}

CVPR

Revisiting Random Channel Pruning for Neural Network Compression

Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, and Luc Van Gool

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

DOI Bib PDF

@inproceedings{li2022revisiting,
  title = {Revisiting Random Channel Pruning for Neural Network Compression},
  author = {Li, Yawei and Adamczewski, Kamil and Li, Wen and Gu, Shuhang and Timofte, Radu and Van Gool, Luc},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.00029}
}

2021

ICCV

Towards Efficient Graph Convolutional Networks for Point Cloud Handling

Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory Chirikjian, and Luc Van Gool

In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021

DOI Bib PDF

@inproceedings{li2021towards,
  title = {Towards Efficient Graph Convolutional Networks for Point Cloud Handling},
  author = {Li, Yawei and Chen, He and Cui, Zhaopeng and Timofte, Radu and Pollefeys, Marc and Chirikjian, Gregory and Van Gool, Luc},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  year = {2021},
  doi = {10.1109/ICCV48922.2021.00373}
}

CVPR

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures

Yawei Li, Wen Li, Martin Danelljan, Zhang Kai, Shuhang Gu, Luc Van Gool, and Radu Timofte

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021

DOI Bib PDF

@inproceedings{li2021heterogeneity,
  title = {The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures},
  author = {Li, Yawei and Li, Wen and Danelljan, Martin and Kai, Zhang and Gu, Shuhang and Van Gool, Luc and Timofte, Radu},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2021},
  doi = {10.1109/CVPR46437.2021.00218}
}

CVPR

Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training

Yunxuan Wei, Shuhang Gu, Yawei Li, Radu Timofte, Longcun Jin, and Hengjie Song

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021

DOI Bib PDF

@inproceedings{wei2021unsupervised,
  title = {Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training},
  author = {Wei, Yunxuan and Gu, Shuhang and Li, Yawei and Timofte, Radu and Jin, Longcun and Song, Hengjie},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2021},
  doi = {10.1109/CVPR46437.2021.01318}
}

CVPR

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation

Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, and Luc Van Gool

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021

DOI Bib PDF

@inproceedings{gong2021cluster,
  title = {Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation},
  author = {Gong, Rui and Chen, Yuhua and Paudel, Danda Pani and Li, Yawei and Chhatkuli, Ajad and Li, Wen and Dai, Dengxin and Van Gool, Luc},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2021},
  doi = {10.1109/CVPR46437.2021.00824}
}

2020

ECCV

DHP: Differentiable Meta Pruning via HyperNetworks

Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, and Radu Timofte

In Proceedings of the European Conference on Computer Vision, 2020

DOI Bib PDF

@inproceedings{li2020dhp,
  title = {{DHP}: Differentiable Meta Pruning via HyperNetworks},
  author = {Li, Yawei and Gu, Shuhang and Zhang, Kai and Van Gool, Luc and Timofte, Radu},
  booktitle = {Proceedings of the European Conference on Computer Vision},
  year = {2020},
  doi = {10.1007/978-3-030-58598-3_36}
}

CVPR

Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression

Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, and Radu Timofte

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DOI Bib PDF

@inproceedings{li2020group,
  title = {Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression},
  author = {Li, Yawei and Gu, Shuhang and Mayer, Christoph and Van Gool, Luc and Timofte, Radu},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2020},
  doi = {10.1109/CVPR42600.2020.00804}
}

2019

ICCV

Learning Filter Basis for Convolutional Neural Network Compression

Yawei Li, Shuhang Gu, Luc Van Gool, and Radu Timofte

In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019

DOI Bib PDF

@inproceedings{li2019learning,
  title = {Learning Filter Basis for Convolutional Neural Network Compression},
  author = {Li, Yawei and Gu, Shuhang and Van Gool, Luc and Timofte, Radu},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  year = {2019},
  doi = {https://doi.org/10.1109/ICCV.2019.00572}
}

CVPR

3D Appearance Super-Resolution with Deep Learning

Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, and Luc Van Gool

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

DOI Bib PDF

@inproceedings{li20193d,
  title = {{3D} Appearance Super-Resolution with Deep Learning},
  author = {Li, Yawei and Tsiminaki, Vagia and Timofte, Radu and Pollefeys, Marc and Gool, Luc Van},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2019},
  doi = {10.1109/CVPR.2019.00990}
}

ICCV

Self-Guided Network for Fast Image Denoising

Shuhang Gu, Yawei Li, Luc Van Gool, and Radu Timofte

In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019

DOI Bib PDF

@inproceedings{gu2019selfguided,
  title = {Self-Guided Network for Fast Image Denoising},
  author = {Gu, Shuhang and Li, Yawei and Van Gool, Luc and Timofte, Radu},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  year = {2019},
  doi = {10.1109/ICCV.2019.00260}
}

2018

CVIU

Modified Non-Local Means for Super-Resolution of Hybrid Videos

Yawei Li, Xiaofeng Li, and Zhizhong Fu

Computer Vision and Image Understanding, 2018

DOI Bib PDF

@article{li2018modified,
  title = {Modified Non-Local Means for Super-Resolution of Hybrid Videos},
  author = {Li, Yawei and Li, Xiaofeng and Fu, Zhizhong},
  journal = {Computer Vision and Image Understanding},
  volume = {168},
  pages = {64--78},
  year = {2018},
  publisher = {Elsevier},
  doi = {10.1016/j.cviu.2017.11.010}
}

ECCV

CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution

Yawei Li, Eirikur Agustsson, Shuhang Gu, Radu Timofte, and Luc Van Gool

In Proceedings of the European Conference on Computer Vision Workshops, 2018

DOI Bib PDF

@inproceedings{li2018carn,
  title = {{CARN}: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution},
  author = {Li, Yawei and Agustsson, Eirikur and Gu, Shuhang and Timofte, Radu and Van Gool, Luc},
  booktitle = {Proceedings of the European Conference on Computer Vision Workshops},
  year = {2018},
  doi = {10.1007/978-3-030-11021-5_11}
}

2016

ACM MM

Multiview Video Super-Resolution via Information Extraction and Merging

Yawei Li, Xiaofeng Li, Zhizhong Fu, and Wenli Zhong

In Proceedings of the ACM International Conference on Multimedia, 2016

DOI Bib PDF

@inproceedings{li2016multiview,
  title = {Multiview Video Super-Resolution via Information Extraction and Merging},
  author = {Li, Yawei and Li, Xiaofeng and Fu, Zhizhong and Zhong, Wenli},
  booktitle = {Proceedings of the ACM International Conference on Multimedia},
  year = {2016},
  doi = {10.1145/2964284.2967260}
}

ICIP

Bilateral Video Super-Resolution Using Non-Local Means with Adaptive Parameters

Yawei Li, Xiaofeng Li, Zhizhong Fu, Xiuxia Yin, and Yufei Zhao

In Proceedings of the IEEE International Conference on Image Processing, 2016

DOI Bib PDF

@inproceedings{li2016bilateral,
  title = {Bilateral Video Super-Resolution Using Non-Local Means with Adaptive Parameters},
  author = {Li, Yawei and Li, Xiaofeng and Fu, Zhizhong and Yin, Xiuxia and Zhao, Yufei},
  booktitle = {Proceedings of the IEEE International Conference on Image Processing},
  year = {2016},
  doi = {10.1109/ICIP.2016.7532539}
}

VCIP

Spatiotemporal Super-Resolution for Multiview Video in Transform Domain

Yawei Li, Xiaofeng Li, Zhizhong Fu, Tingting Niu, and Keyu Long

In Proceedings of Visual Communications and Image Processing, 2016

DOI Bib PDF

@inproceedings{li2016spatiotemporal,
  title = {Spatiotemporal Super-Resolution for Multiview Video in Transform Domain},
  author = {Li, Yawei and Li, Xiaofeng and Fu, Zhizhong and Niu, Tingting and Long, Keyu},
  booktitle = {Proceedings of Visual Communications and Image Processing},
  year = {2016},
  doi = {10.1109/VCIP.2016.7805432}
}

ICIP

Joint Visual Denoising and Classification Using Deep Learning

Gang Chen, Yawei Li, and Sargur N Srihari

In Proceedings of the IEEE International Conference on Image Processing, 2016

DOI Bib PDF

@inproceedings{chen2016joint,
  title = {Joint Visual Denoising and Classification Using Deep Learning},
  author = {Chen, Gang and Li, Yawei and Srihari, Sargur N},
  booktitle = {Proceedings of the IEEE International Conference on Image Processing},
  year = {2016},
  doi = {10.1109/ICIP.2016.7533045}
}

Electronics Letters

Envelope and Phase Statistics of Cauchy Quadratures

Yawei Li, Xiaofeng Li, Norman C Beaulieu, and Zhizhong Fu

Electronics Letters, 2016

DOI Bib PDF

@article{li2016envelope,
  title = {Envelope and Phase Statistics of Cauchy Quadratures},
  author = {Li, Yawei and Li, Xiaofeng and Beaulieu, Norman C and Fu, Zhizhong},
  journal = {Electronics Letters},
  volume = {52},
  number = {13},
  pages = {1132--1134},
  year = {2016},
  publisher = {IET},
  doi = {10.1049%2Fel.2016.1127}
}

1935

PhysRev

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?

A. Einstein^*†, B. Podolsky^*, and N. Rosen^*

Phys. Rev., New Jersey. More Information can be found here , May 1935

Abs DOI HTML PDF Video

In a complete theory there is an element corresponding to each element of reality. A sufficient condition for the reality of a physical quantity is the possibility of predicting it with certainty, without disturbing the system. In quantum mechanics in the case of two physical quantities described by non-commuting operators, the knowledge of one precludes the knowledge of the other. Then either (1) the description of reality given by the wave function in quantum mechanics is not complete or (2) these two quantities cannot have simultaneous reality. Consideration of the problem of making predictions concerning a system on the basis of measurements made on another system that had previously interacted with it leads to the result that if (1) is false then (2) is also false. One is thus led to conclude that the description of reality as given by a wave function is not complete.