publications

2026

1. CVPR’26

   

   Evo-1: Lightweight Vision-Language-Action Model with Preserved Semantic Alignment

   Tao Lin, Yilei Zhong, Yuxin Du, Jingjing Zhang, Jiting Liu, and 9 more authors

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

   arXiv Bib Code Website

   

   @inproceedings{evo1,
     title = {Evo-1: Lightweight Vision-Language-Action Model with Preserved Semantic Alignment},
     author = {Lin, Tao and Zhong, Yilei and Du, Yuxin and Zhang, Jingjing and Liu, Jiting and Chen, Yinxinyu and Gu, Encheng and Liu, Ziyan and Cai, Hongyi and Zou, Yanwen and Zou, Lixing and Zhou, Zhaoye and Li, Gen and Zhao, Bo},
     year = {2026},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
   }

2. CVPR’26

   

   PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation

   Yuanzhe Liu, Jingyuan Zhu, Yuchen Mo, Gen Li, Xu Cao, and 7 more authors

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

   arXiv Bib

   @inproceedings{palm,
     title = {PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation},
     author = {Liu, Yuanzhe and Zhu, Jingyuan and Mo, Yuchen and Li, Gen and Cao, Xu and Jin, Jin and Shen, Yifan and Li, Zhengyuan and Yu, Tianjiao and Yuan, Wenzhen and Ding, Fangqiang and Lourentzou, Ismini},
     year = {2026},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
   }

3. AAAI’26

   

   Mask2IV: Interaction-Centric Video Generation via Mask Trajectories

   Gen Li, Bo Zhao, Jianfei Yang, and Laura Sevilla-Lara

   In AAAI Conference on Artificial Intelligence, 2026

   arXiv Bib Code Website

   

   @inproceedings{Mask2IV,
     title = {Mask2IV: Interaction-Centric Video Generation via Mask Trajectories},
     author = {Li, Gen and Zhao, Bo and Yang, Jianfei and Sevilla-Lara, Laura},
     year = {2026},
     booktitle = {AAAI Conference on Artificial Intelligence},
   }

2025

1. ACM MM’25

   

   Dual Enhancement on 3D Vision-Language Perception for Monocular 3D Visual Grounding

   Yuzhen Li, Min Liu, Yuan Bian, Xueping Wang, Zhaoyang Li, and 2 more authors

   In Proceedings of the 33rd ACM International Conference on Multimedia, 2025

   arXiv Bib

   @inproceedings{li2025dual,
     title = {Dual Enhancement on 3D Vision-Language Perception for Monocular 3D Visual Grounding},
     author = {Li, Yuzhen and Liu, Min and Bian, Yuan and Wang, Xueping and Li, Zhaoyang and Li, Gen and Wang, Yaonan},
     booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},
     year = {2025},
   }

2. ICCV’25

   

   Learning Precise Affordances from Egocentric Videos for Robotic Manipulation

   Gen Li, Nikolaos Tsagkas, Jifei Song, Ruaridh Mon-Williams, Sethu Vijayakumar, and 2 more authors

   In IEEE/CVF International Conference on Computer Vision, 2025

   arXiv Bib Code Website

   

   @inproceedings{Aff-Grasp,
     title = {Learning Precise Affordances from Egocentric Videos for Robotic Manipulation},
     author = {Li, Gen and Tsagkas, Nikolaos and Song, Jifei and Mon-Williams, Ruaridh and Vijayakumar, Sethu and Shao, Kun and Sevilla-Lara, Laura},
     year = {2025},
     booktitle = {IEEE/CVF International Conference on Computer Vision},
   }

3. ICCV’25

   

   Principles of Visual Tokens for Efficient Video Understanding

   Xinyue Hao, Gen Li, Shreyank N Gowda, Robert B Fisher, Jonathan Huang, and 2 more authors

   In IEEE/CVF International Conference on Computer Vision, 2025

   arXiv Bib

   @inproceedings{hao2024principles,
     title = {Principles of Visual Tokens for Efficient Video Understanding},
     author = {Hao, Xinyue and Li, Gen and Gowda, Shreyank N and Fisher, Robert B and Huang, Jonathan and Arnab, Anurag and Sevilla-Lara, Laura},
     booktitle = {IEEE/CVF International Conference on Computer Vision},
     year = {2025},
   }

4. IROS’25

   

   Resource-Efficient Affordance Grounding with Complementary Depth and Semantic Prompts

   Yizhou Huang, Fan Yang, Guoliang Zhu, Gen Li, Hao Shi, and 4 more authors

   In International Conference on Intelligent Robots and Systems, 2025

   arXiv Bib Code

   @inproceedings{huang2025resource,
     title = {Resource-Efficient Affordance Grounding with Complementary Depth and Semantic Prompts},
     author = {Huang, Yizhou and Yang, Fan and Zhu, Guoliang and Li, Gen and Shi, Hao and Zuo, Yukun and Chen, Wenrui and Li, Zhiyong and Yang, Kailun},
     booktitle = {International Conference on Intelligent Robots and Systems},
     year = {2025},
   }

5. NMI

   

   Embodied Large Language Models Enable Robots to Complete Complex Tasks in Unpredictable Environments

   Ruaridh Mon-Williams^†, Gen Li^†, Ran Long, Wenqian Du, and Chris Lucas

   Nature Machine Intelligence, 2025

   Bib PDF Video Code

   

   @article{ELLMER,
     title = {Embodied Large Language Models Enable Robots to Complete Complex Tasks in Unpredictable Environments},
     author = {Mon-Williams, Ruaridh and Li, Gen and Long, Ran and Du, Wenqian and Lucas, Chris},
     journal = {Nature Machine Intelligence},
     year = {2025},
   }

2024

1. ECCVW’24

   

   Watt for what: Rethinking deep learning’s energy-performance relationship

   Shreyank N Gowda, Xinyue Hao, Gen Li, Shashank Narayana Gowda, Xiaobo Jin, and 1 more author

   In European Conference on Computer Vision Workshop, 2024

   Bib PDF

   @inproceedings{gowda2025watt,
     title = {Watt for what: Rethinking deep learning’s energy-performance relationship},
     author = {Gowda, Shreyank N and Hao, Xinyue and Li, Gen and Gowda, Shashank Narayana and Jin, Xiaobo and Sevilla-Lara, Laura},
     booktitle = {European Conference on Computer Vision Workshop},
     pages = {388--405},
     year = {2024},
     organization = {Springer},
   }

2. CVPR’24

   

   One-Shot Open Affordance Learning with Foundation Models

   Gen Li, Deqing Sun, Laura Sevilla-Lara, and Varun Jampani

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

   arXiv Bib Code Website

   

   @inproceedings{OOAL,
     title = {One-Shot Open Affordance Learning with Foundation Models},
     author = {Li, Gen and Sun, Deqing and Sevilla-Lara, Laura and Jampani, Varun},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2024},
   }

2023

1. IJCNN’23

   

   Referenceless User Controllable Semantic Image Synthesis

   Jonghyun Kim, Gen Li, and Joongkyu Kim

   In International Joint Conference on Neural Networks, 2023

   arXiv Bib Code

   @inproceedings{Refer,
     title = {Referenceless User Controllable Semantic Image Synthesis},
     author = {Kim, Jonghyun and Li, Gen and Kim, Joongkyu},
     booktitle = {International Joint Conference on Neural Networks},
     year = {2023},
   }

2. CVPR’23

   

   LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding

   Gen Li, Varun Jampani, Deqing Sun, and Laura Sevilla-Lara

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

   arXiv Bib Code Website

   

   @inproceedings{LOCATE,
     title = {LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding},
     author = {Li, Gen and Jampani, Varun and Sun, Deqing and Sevilla-Lara, Laura},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     year = {2023},
   }

2021

1. CVPR’21

   

   Adaptive Prototype Learning and Allocation for Few-Shot Segmentation

   Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, and 1 more author

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

   arXiv Bib Code Website

   

   @inproceedings{ASGNet,
     title = {Adaptive Prototype Learning and Allocation for Few-Shot Segmentation},
     author = {Li, Gen and Jampani, Varun and Sevilla-Lara, Laura and Sun, Deqing and Kim, Jonghyun and Kim, Joongkyu},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {8334--8343},
     year = {2021},
   }

2. BMVC’21

   

   SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder

   Jonghyun Kim, Gen Li, Cheolkon Jung, and Joongkyu Kim

   In British Machine Vision Conference, 2021

   arXiv Bib Code

   @inproceedings{kim2021superstylenet,
     title = {SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder},
     author = {Kim, Jonghyun and Li, Gen and Jung, Cheolkon and Kim, Joongkyu},
     booktitle = {British Machine Vision Conference},
     year = {2021},
   }

3. PR

   

   Weakly-supervised temporal attention 3D network for human action recognition

   Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, and Joongkyu Kim

   Pattern Recognition, 2021

   Bib PDF

   @article{KIM2021108068,
     title = {Weakly-supervised temporal attention 3D network for human action recognition},
     journal = {Pattern Recognition},
     volume = {119},
     pages = {108068},
     year = {2021},
     issn = {0031-3203},
     author = {Kim, Jonghyun and Li, Gen and Yun, Inyong and Jung, Cheolkon and Kim, Joongkyu},
     keywords = {Action recognition, Temporal attention, Convolutional neural network, Weakly-supervised learning, Video analysis, Video classification},
   }

4. Neurocom

   

   Edge and identity preserving network for face super-resolution

   Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, and Joongkyu Kim

   Neurocomputing, 2021

   arXiv Bib PDF Code

   @article{KIM202111,
     title = {Edge and identity preserving network for face super-resolution},
     journal = {Neurocomputing},
     volume = {446},
     pages = {11-22},
     year = {2021},
     issn = {0925-2312},
     author = {Kim, Jonghyun and Li, Gen and Yun, Inyong and Jung, Cheolkon and Kim, Joongkyu},
     keywords = {Super-resolution, Face hallucination, Edge block, Identity loss, Image enhancement},
   }

2020

1. Access

   

   Depth-Wise Asymmetric Bottleneck With Point-Wise Aggregation Decoder for Real-Time Semantic Segmentation in Urban Scenes

   Gen Li, Shenlu Jiang, Inyong Yun, Jonghyun Kim, and Joongkyu Kim

   IEEE Access, 2020

   Bib PDF

   @article{dab_access,
     title = {Depth-Wise Asymmetric Bottleneck With Point-Wise Aggregation Decoder for Real-Time Semantic Segmentation in Urban Scenes},
     author = {Li, Gen and Jiang, Shenlu and Yun, Inyong and Kim, Jonghyun and Kim, Joongkyu},
     journal = {IEEE Access},
     year = {2020},
     volume = {8},
     number = {},
     pages = {27495-27506},
   }

2019

1. BMVC’19

   

   DABNet: Depth-wise asymmetric bottleneck for real-time semantic segmentation

   Gen Li and Joongkyu Kim

   In British Machine Vision Conference, 2019

   arXiv Bib Code

   @inproceedings{DABNet,
     title = {DABNet: Depth-wise asymmetric bottleneck for real-time semantic segmentation},
     author = {Li, Gen and Kim, Joongkyu},
     booktitle = {British Machine Vision Conference},
     year = {2019},
   }