1. 

   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

2. 

   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

3. 

   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

4. 

   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

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 },
}

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 },
}