Kartik Narayan
I am a 2nd year Ph.D. student in the Computer Science
department
at Johns Hopkins University, where I am a member of VIU lab, advised by Dr.Vishal Patel. My research focuses
on computer vision and its applications in face analysis, understanding, and recognition, with a
particular emphasis on multimodal LLMs and generation.
Prior to my doctoral studies, I worked as an undergraduate researcher under
Prof. Richa Singh and
Prof. Mayank Vatsa at the
Image Analysis and Biometrics (IAB) Lab,
IIT Jodhpur, where I worked on deepfake video generation. During my time at IIT Jodhpur,
I also collaborated with
Dr. Suman Kundu and
Dr. Suchetana Chakraborty.
Additionally, I interned at the University of Texas, San Antonio, where I worked with
Dr. Heena Rathore and
Dr. Faycal Znidi.
Email  / 
CV  / 
Google Scholar
 / 
LinkedIn  / 
Twitter  / 
Github
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Research
My research primarily focuses on computer vision and its applications in face analysis,
understanding, and recognition,
with the goal of developing robust open-world algorithms that can be deployed for real-world impact.
My specific
research interests include multimodal LLMs and video generation. My current work focuses on MLLM agents, reasoning, and video generation. I have
authored multiple
first-author papers in top conferences like CVPR, ICCV, AAAI.
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News
- [June, 2025] One Paper is accepted at ICCV 2025.
- [May, 2025] I will join Apple for Summer 2025.
- [April, 2025] Two Papers are accepted at FG 2025.
- [December, 2024] One Paper is accepted at AAAI 2025.
- [October, 2024] One Paper is accepted at WACV 2025.
- [October, 2024] One Paper is accepted at IEEE TBIOM.
- [January, 2024] One Paper is accepted at FG 2024.
- [August, 2023] Joined as a PhD student at VIU Lab, Johns Hopkins University.
- [May, 2023] Received CVPR Student Travel Award.
- [Feb, 2023] One Paper is Accepted at CVPR 2023.
- [September, 2022] One Paper is Accepted at IEEE Access.
- [August, 2022] One Paper is Accepted at IJCB 2022.
- [April, 2022] One Paper is Accepted at CVPRW TCV 2022.
- [January, 2022] One Paper is Accepted at IEEE SysCon 2022.
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Publications
See my Google
Scholar profile for the complete and most recent publications.
Representative papers are highlighted.
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FaceXFormer: A Unified Transformer for Facial Analysis
Kartik Narayan,
Vibashan VS,
Rama Chellappa,
Vishal M. Patel
ICCV 2025
arXiv /
project /
code (263 ⭐)
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SegFace: Face Segmentation of Long-Tail Classes
Kartik Narayan,
Vibashan VS,
Vishal M. Patel
AAAI 2025
arXiv /
project /
code (69 ⭐)
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FaceXBench: Evaluating Multimodal LLMs on Face Understanding
Kartik Narayan, Vibashan VS, Vishal M. Patel
Under Review
arXiv /
project /
code
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PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognition
Kartik Narayan, Nithin Gopalkrishnan Nair, Jennifer Xu, Rama Chellappa, Vishal M. Patel
WACV 2025 (Oral)
arXiv /
project /
code
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FaceMoE: Mixture of Experts for Low-Resolution Face Recognition
Kartik Narayan, Vishal M. Patel
Under Review
paper
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Training-Free Stylized Abstraction
Aiman Rahman*, Kartik Narayan*, Vishal M. Patel
Under Review
arXiv /
project /
code
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RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
Sudarshan Rajagoplan, Kartik Narayan, Vishal M. Patel
Under Review
arXiv /
project /
code
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INFER: Implicit Neural Features for Exposing Realism
Dhananjaya Jayasundara, Kartik Narayan, Vishal M. Patel
Under Review
paper
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Investigating Social Biases in Multimodal LLMs
Malsha Perera*, Kartik Narayan*, Vishal M. Patel
IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2025
paper
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Improved Representation Learning for Unconstrained Face Recognition
Nithin Gopalkrishnan Nair*, Kartik Narayan*, Maitreya Suin, Ram Prabhakar, Jennifer Xu, Soraya Stevens, Joshua Gleason, Nathan Shnidman, Rama Chellappa, Vishal M. Patel
IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2025
paper
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Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing
Kartik Narayan, Vishal M. Patel
IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2024
paper /
project /
code
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DF-Platter: Multi-subject Heterogeneous Deepfake Dataset
Kartik Narayan,
Harsh Agarwal,
Kartik Thakral,
Surbhi Mittal,
Mayank Vatsa,
Richa Singh
CVPR 2023
paper /
poster
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DeePhyNet: Towards Detecting Phylogeny in Deepfakes
Kartik Thakral, Harsh Agarwal, Kartik Narayan, Surbhi Mittal, Mayank Vatsa, Richa Singh
IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM)
paper
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DeePhy: On Deepfake Phylogeny
Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh
International Joint Conference on Biometrics (IJCB) 2022 (Oral)
paper
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DeSI: Deepfake Source Identifier for Social Media
Kartik Narayan, Harsh Agarwal, Surbhi Mittal, Kartik Thakral, Suman Kundu, Mayank Vatsa, Richa Singh
CVPR Workshops 2022
paper
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Using Epidemic Modelling, Machine Learning and Control Feedback Strategy for Policy Management of COVID-19
Kartik Narayan, Heena Rathore, Faycal Znidi
IEEE Access 2022
paper /
code
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Leveraging ambient sensing for the estimation of curiosity-driven human crowd
Anirban Das, Kartik Narayan, Suchetana Chakraborty
IEEE Systems Conference (SysCon) 2022
paper
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