1. 

   Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation

   Feng Liu, Minchul Kim, Zhiyuan Ren, Xiaoming Liu

   Person Re-Identification (ReID) holds critical importance in computer vision with pivotal applications in public safety and crime prevention. Traditional ReID methods, reliant on appearance attributes such as clothing and color, encounter limitations in long-term scenarios and dynamic environments. To address these challenges, we propose CLIP3DReID, an innovative approach that enhances ...

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   Keywords: Person Re-identification, 3D Human Reconstruction

2. 

   Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification

   Feng Liu, Minchul Kim, Ziang Gu, Anil Jain, Xiaoming Liu

   Long-Term Person Re-Identification (LT-ReID) has become increasingly crucial in computer vision and biometrics. In this work, we aim to extend LT-ReID beyond pedestrian recognition to include a wider range of real-world human activities while still accounting for cloth-changing scenarios over large time gaps. This setting poses additional challenges due to ...

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   Keywords: Body Matching, 3D Shape Reconstruction, Biometrics, 3D Human Reconstruction, Person Re-identification

3. 

   Controllable and Guided Face Synthesis for Unconstrained Face Recognition

   Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu

   Although significant advances have been made in face recognition (FR), FR in unconstrained environments remains challenging due to the domain gap between the semi-constrained training datasets and unconstrained testing scenarios. To address this problem, we propose a controllable face synthesis model (CFSM) that can mimic the distribution of target datasets ...

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   Keywords: Face Recognition, Face Synthesis, Biometrics

4. 

   Cluster and Aggregate: Face Recognition with Large Probe Set

   Minchul Kim, Feng Liu, Anil K. Jain, Xiaoming Liu

   Feature fusion plays a crucial role in unconstrained face recognition where inputs (probes) comprise of a set of N low quality images whose individual qualities vary. Advances in attention and recurrent modules have led to feature fusion that can model the relationship among the images in the input set. However ...

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   Keywords: Face recognition, Biometrics

5. 

   AdaFace: Quality Adaptive Margin for Face Recognition

   Minchul Kim, Anil K. Jain, Xiaoming Liu

   Recognition in low quality face datasets is challenging because facial attributes are obscured and degraded. Advances in margin-based loss functions have resulted in enhanced discriminability of faces in the embedding space. Further, previous studies have studied the effect of adaptive losses to assign more importance to misclassified (hard) examples. In ...

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   Keywords: Face recognition, Biometrics

2025

• SapiensID: Foundation for Human Recognition
  Minchul Kim, Dingqiang Ye, Yiyang Su, Feng Liu, Xiaoming Liu
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2025), Nashville, TN, Jun. 2025
  Bibtex | arXiv
@inproceedings{ sapiensid-foundation-for-human-recognition,
  author = { Minchul Kim and Dingqiang Ye and Yiyang Su and Feng Liu and Xiaoming Liu },
  title = { SapiensID: Foundation for Human Recognition },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { Nashville, TN },
  month = { June },
  year = { 2025 },
}

2024

• FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems
  Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiao-Yu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
  Information Fusion, , Mar. 2024
  Bibtex | PDF
@article{ frcsyn-ongoing-benchmarking-and-comprehensive-evaluation-of-real-and-synthetic-data-to-improve-face-recognition-systems,
  author = { Pietro Melzi and Ruben Tolosana and Ruben Vera-Rodriguez and Minchul Kim and Christian Rathgeb and Xiaoming Liu and Ivan DeAndres-Tame and Aythami Morales and Julian Fierrez and Javier Ortega-Garcia and Weisong Zhao and Xiangyu Zhu and Zheyu Yan and Xiao-Yu Zhang and Jinlin Wu and Zhen Lei and Suvidha Tripathi and Mahak Kothari and Md Haider Zama and Debayan Deb and Bernardo Biesseck and Pedro Vidal and Roger Granada and Guilherme Fickel and Gustavo Führ and David Menotti and Alexander Unnervik and Anjith George and Christophe Ecabert and Hatef Otroshi Shahreza and Parsa Rahimi and Sébastien Marcel and Ioannis Sarridis and Christos Koutlis and Georgia Baltsou and Symeon Papadopoulos and Christos Diou and Nicolò Di Domenico and Guido Borghi and Lorenzo Pellegrini and Enrique Mas-Candela and Ángela Sánchez-Pérez and Andrea Atzori and Fadi Boutros and Naser Damer and Gianni Fenu and Mirko Marras },
  title = { FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems },
  journal = { Information Fusion },
  month = { March },
  year = { 2024 },
}
• Open-Set Biometrics: Beyond Good Closed-Set Models
  Yiyang Su, Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu
  In Proceeding of European Conference on Computer Vision (ECCV 2024), Milan, Italy, Oct. 2024
  Bibtex | PDF | arXiv
@inproceedings{ open-set-biometrics-beyond-good-closed-set-models,
  author = { Yiyang Su and Minchul Kim and Feng Liu and Anil Jain and Xiaoming Liu },
  title = { Open-Set Biometrics: Beyond Good Closed-Set Models },
  booktitle = { In Proceeding of European Conference on Computer Vision },
  address = { Milan, Italy },
  month = { October },
  year = { 2024 },
}
• Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
  Feng Liu, Minchul Kim, Zhiyuan Ren, Xiaoming Liu
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, Jun. 2024
  Bibtex | PDF | Supplemental | Code
@inproceedings{ distilling-clip-with-dual-guidance-for-learning-discriminative-human-body-shape-representation,
  author = { Feng Liu and Minchul Kim and Zhiyuan Ren and Xiaoming Liu },
  title = { Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { Seattle, WA },
  month = { June },
  year = { 2024 },
}
• KeyPoint Relative Position Encoding for Face Recognition
  Minchul Kim, Yiyang Su, Feng Liu, Anil Jain, Xiaoming Liu
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, Jun. 2024
  Bibtex | PDF | arXiv | Supplemental | Code
@inproceedings{ keypoint-relative-position-encoding-for-face-recognition,
  author = { Minchul Kim and Yiyang Su and Feng Liu and Anil Jain and Xiaoming Liu },
  title = { KeyPoint Relative Position Encoding for Face Recognition },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { Seattle, WA },
  month = { June },
  year = { 2024 },
}
• Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
  Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sebastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana F. Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiao-Yu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti
  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, Jun. 2024
  Bibtex | PDF | Code
@inproceedings{ second-edition-frcsyn-challenge-at-cvpr-2024-face-recognition-challenge-in-the-era-of-synthetic-data,
  author = { Ivan DeAndres-Tame and Ruben Tolosana and Pietro Melzi and Ruben Vera-Rodriguez and Minchul Kim and Christian Rathgeb and Xiaoming Liu and Aythami Morales and Julian Fierrez and Javier Ortega-Garcia and Zhizhou Zhong and Yuge Huang and Yuxi Mi and Shouhong Ding and Shuigeng Zhou and Shuai He and Lingzhi Fu and Heng Cong and Rongyu Zhang and Zhihong Xiao and Evgeny Smirnov and Anton Pimenov and Aleksei Grigorev and Denis Timoshenko and Kaleb Mesfin Asfaw and Cheng Yaw Low and Hao Liu and Chuyi Wang and Qing Zuo and Zhixiang He and Hatef Otroshi Shahreza and Anjith George and Alexander Unnervik and Parsa Rahimi and Sebastien Marcel and Pedro C. Neto and Marco Huber and Jan Niklas Kolf and Naser Damer and Fadi Boutros and Jaime S. Cardoso and Ana F. Sequeira and Andrea Atzori and Gianni Fenu and Mirko Marras and Vitomir Struc and Jiang Yu and Zhangjie Li and Jichun Li and Weisong Zhao and Zhen Lei and Xiangyu Zhu and Xiao-Yu Zhang and Bernardo Biesseck and Pedro Vidal and Luiz Coelho and Roger Granada and David Menotti },
  title = { Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data },
  booktitle = { Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition },
  address = { Seattle, WA },
  month = { June },
  year = { 2024 },
}
• TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
  Zhiyuan Ren, Minchul Kim, Feng Liu, Xiaoming Liu
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, Jun. 2024
  Bibtex | PDF | Supplemental | Code
@inproceedings{ tiger-time-varying-denoising-model-for-3d-point-cloud-generation-with-diffusion-process,
  author = { Zhiyuan Ren and Minchul Kim and Feng Liu and Xiaoming Liu },
  title = { TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { Seattle, WA },
  month = { June },
  year = { 2024 },
}
• FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
  Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Xingguang Zhang, Stanley Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, Xiaoming Liu
  In Proceeding of Winter Conference on Applications of Computer Vision (WACV 2024), Waikoloa, Hawaii, Jan. 2024
  Bibtex | PDF | arXiv
@inproceedings{ farsight-a-physics-driven-whole-body-biometric-system-at-large-distance-and-altitude,
  author = { Feng Liu and Ryan Ashbaugh and Nicholas Chimitt and Najmul Hassan and Ali Hassani and Ajay Jaiswal and Minchul Kim and Zhiyuan Mao and Christopher Perry and Zhiyuan Ren and Yiyang Su and Pegah Varghaei and Kai Wang and Xingguang Zhang and Stanley Chan and Arun Ross and Humphrey Shi and Zhangyang Wang and Anil Jain and Xiaoming Liu },
  title = { FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude },
  booktitle = { In Proceeding of Winter Conference on Applications of Computer Vision },
  address = { Waikoloa, Hawaii },
  month = { January },
  year = { 2024 },
}
• FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data
  Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiao-Yu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme Fickel, Gustavo Fuhr, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Parsa Rahimi, Sebastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolo Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Angela Sanchez-Perez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
  In Proceeding of Winter Conference on Applications of Computer Vision (WACVW 2024), Waikoloa, Hawaii, Jan. 2024
  Bibtex | PDF
@inproceedings{ frcsyn-challenge-at-wacv-2024-face-recognition-challenge-in-the-era-of-synthetic-data,
  author = { Pietro Melzi and Ruben Tolosana and Ruben Vera-Rodriguez and Minchul Kim and Christian Rathgeb and Xiaoming Liu and Ivan DeAndres-Tame and Aythami Morales and Julian Fierrez and Javier Ortega-Garcia and Weisong Zhao and Xiangyu Zhu and Zheyu Yan and Xiao-Yu Zhang and Jinlin Wu and Zhen Lei and Suvidha Tripathi and Mahak Kothari and Md Haider Zama and Debayan Deb and Bernardo Biesseck and Pedro Vidal and Roger Granada and Guilherme Fickel and Gustavo Fuhr and David Menotti and Alexander Unnervik and Anjith George and Christophe Ecabert and Hatef Otroshi Shahreza and Parsa Rahimi and Sebastien Marcel and Ioannis Sarridis and Christos Koutlis and Georgia Baltsou and Symeon Papadopoulos and Christos Diou and Nicolo Di Domenico and Guido Borghi and Lorenzo Pellegrini and Enrique Mas-Candela and Angela Sanchez-Perez and Andrea Atzori and Fadi Boutros and Naser Damer and Gianni Fenu and Mirko Marras },
  title = { FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data },
  booktitle = { In Proceeding of Winter Conference on Applications of Computer Vision },
  address = { Waikoloa, Hawaii },
  month = { January },
  year = { 2024 },
}

2023

• Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
  Feng Liu, Minchul Kim, ZiAng Gu, Anil Jain, Xiaoming Liu
  In Proceeding of International Conference on Computer Vision (ICCV 2023), Paris, France, Oct. 2023
  Bibtex | PDF | arXiv | Project Webpage | Code
@inproceedings{ learning-clothing-and-pose-invariant-3d-shape-representation-for-long-term-person-re-identification,
  author = { Feng Liu and Minchul Kim and ZiAng Gu and Anil Jain and Xiaoming Liu },
  title = { Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification },
  booktitle = { In Proceeding of International Conference on Computer Vision },
  address = { Paris, France },
  month = { October },
  year = { 2023 },
}
• DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
  Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, Jun. 2023
  Bibtex | PDF | Supplemental
@inproceedings{ dcface-synthetic-face-generation-with-dual-condition-diffusion-model,
  author = { Minchul Kim and Feng Liu and Anil Jain and Xiaoming Liu },
  title = { DCFace: Synthetic Face Generation with Dual Condition Diffusion Model },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { Vancouver, Canada },
  month = { June },
  year = { 2023 },
}

2022

• Cluster and Aggregate: Face Recognition with Large Probe Set
  Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu
  In Proceeding of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, Dec. 2022
  Bibtex | PDF | arXiv | Supplemental | Project Webpage
@inproceedings{ cluster-and-aggregate-face-recognition-with-large-probe-set,
  author = { Minchul Kim and Feng Liu and Anil Jain and Xiaoming Liu },
  title = { Cluster and Aggregate: Face Recognition with Large Probe Set },
  booktitle = { In Proceeding of Thirty-sixth Conference on Neural Information Processing Systems },
  address = { New Orleans, LA },
  month = { December },
  year = { 2022 },
}
• Controllable and Guided Face Synthesis for Unconstrained Face Recognition
  Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu
  In Proceeding of European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Israel, Oct. 2022
  Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code
@inproceedings{ controllable-and-guided-face-synthesis-for-unconstrained-face-recognition,
  author = { Feng Liu and Minchul Kim and Anil Jain and Xiaoming Liu },
  title = { Controllable and Guided Face Synthesis for Unconstrained Face Recognition },
  booktitle = { In Proceeding of European Conference on Computer Vision },
  address = { Tel-Aviv, Israel },
  month = { October },
  year = { 2022 },
}
• AdaFace: Quality Adaptive Margin for Face Recognition
  Minchul Kim, Anil K. Jain, Xiaoming Liu
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, Jun. 2022 (Oral presentation)
  Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code
@inproceedings{ adaface-quality-adaptive-margin-for-face-recognition,
  author = { Minchul Kim and Anil K. Jain and Xiaoming Liu },
  title = { AdaFace: Quality Adaptive Margin for Face Recognition },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { New Orleans, LA },
  month = { June },
  year = { 2022 },
}