@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},}
Visual Intelligence
When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation
@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
@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
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
@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
@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
@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},doi={10.48550/arXiv.2510.22257},}
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
@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
@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
@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},doi={https://doi.org/10.1145/3742872.3758334},}
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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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
@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}}
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.
