Kartik Narayan

I am a 3rd year (final 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 current interests lie in multimodal LLMs, agents, long-horizon tool calling, agentic post-training, agentic search, reasoning and video generation. My prior research focused on computer vision and its applications in face analysis, understanding, and recognition, with a particular emphasis on multimodal LLMs.

Currently in my Ph.D., I have been fortunate to intern at:

  1. Salesforce AI Research Summer 2026 (Xiangyu Peng, Prafulla Kumar Choubey, Jiaxin Zhang, Silvio Savarese, Chien-Sheng Wu): Developing efficient multimodal agentic search methods using self-distillation to provide intermediate reward signals.
  2. Apple Spring 2026 (Tian Cao, Zheng Yang, Peng Zhou, Lunbo Xu, Xiaohui Tao, Zhe Gan): Developed a multi-image, vision-centric benchmark for evaluating multimodal agentic search, and analyzed failure modes of multimodal models in agentic search settings involving multiple visual entities.
  3. Apple Summer 2025 (Navid Shiee, Peter Grasch, Chao Jia, Yinfei Yang, Zhe Gan): Equipped multimodal LLMs with web-search tools and enabled reasoning over iterative search calls; developed methods to incentivize self-correction and self-verification following an initial model response.

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.

Email  /  CV  /  Google Scholar  /  LinkedIn  /  Twitter  /  Github

Open to full-time opportunities starting from December 2026.

profile photo

Research

My current research interests are multimodal LLMs, agents, long-horizon tool calling, agentic post-training, agentic search, reasoning and video generation. My prior research focused 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.


News

  • [August, 2026] One Paper is accepted at IJCB 2026.
  • [June, 2026] Research Intern at Salesforce AI Research for Summer 2026.
  • [June, 2026] Two Papers are accepted at ECCV 2026.
  • [Feb, 2026] Research Intern at Apple for Spring 2026.
  • [January, 2026] One Paper is accepted at ICLR 2026.
  • [December, 2025] One Paper is accepted at FG 2026.
  • [December, 2025] One Paper is accepted at IEEE TBIOM.
  • [June, 2025] One Paper is accepted at ICCV 2025.
  • [May, 2025] Research Intern at 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.


Publications

See my Google Scholar profile for the complete and most recent publications.

Work in Progress
Efficient Multimodal DeepResearch using Self-Distillation for Intermediate Rewards
Kartik Narayan, Becky Xiangyu Peng, Prafulla Kumar Choubey, Jiaxin Zhang, Bin Lei, Vishal M. Patel, Silvio Savarese, Chien-Sheng Wu

Work in Progress
MultiImage-MMSearch: Multi-Image Vision Centric Benchmark for Multimodal Agentic Search in MLLMs
Kartik Narayan, Tian Cao, Zheng Yang, Peng Zhou, Vishal M. Patel, Lunbo Xu, Xiaohui Tao, Zhe Gan

Under Review
Fork Where the Model Changes Its Mind: Belief-Shift Branching for Tree-Structured Reinforcement Learning
Bin Lei, Yu Li, Prafulla Kumar Choubey, Jiaxin Zhang, Becky Xiangyu Peng, Qinyuan Ye, Kartik Narayan, Caiwen Ding, Silvio Savarese, Chien-Sheng Wu

Under Review
arXiv
DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
Kartik Narayan, Yang Xu, Tian Cao, Kavya Nerella, Vishal M. Patel, Navid Shiee, Peter Grasch, Chao Jia, Yinfei Yang, Zhe Gan

Technical Report
arXiv
FaceMoE: Mixture of Experts for Low-Resolution Face Recognition
Kartik Narayan, Vishal M. Patel

ECCV 2026
arXiv / project / code
Silhouette-based Gait Foundation Model
Dingqiang Ye, Chao Fan, Kartik Narayan, Bingzhe Wu, Chengwen Luo, Jianqiang Li, Vishal M. Patel

ECCV 2026 (Spotlight)
arXiv
RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
Sudarshan Rajagoplan, Kartik Narayan, Vishal M. Patel

ICLR 2026
arXiv / project / code
FaceXFormer: A Unified Transformer for Facial Analysis
Kartik Narayan, Vibashan VS, Rama Chellappa, Vishal M. Patel

ICCV 2025
arXiv / project / code (341 ⭐)
SegFace: Face Segmentation of Long-Tail Classes
Kartik Narayan, Vibashan VS, Vishal M. Patel

AAAI 2025
arXiv / project / code (109 ⭐)
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
DF-Platter: Multi-subject Heterogeneous Deepfake Dataset
Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh

CVPR 2023
paper / poster
 Show all publications
PromptPrint: Behavioral Biometrics Through Natural Language Prompting in LLMs
Shaiv Patel, Kartik Narayan, Vishal M. Patel

IEEE/IAPR International Joint Conference on Biometrics (IJCB) 2026
arXiv
TransFIRA: Transfer Learning for Face Image Recognizability Assessment
Allen Tu, Kartik Narayan, Joshua Gleason, Jennifer Xu, Matthew Meyn, Tom Goldstein, Vishal M. Patel

IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2026
arXiv
FaceXBench: Evaluating Multimodal LLMs on Face Understanding
Kartik Narayan, Vibashan VS, Vishal M. Patel

IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM)
arXiv / project / code
Training-Free Stylized Abstraction
Aiman Rahman*, Kartik Narayan*, Vishal M. Patel

Under Review
arXiv / project / code
INFER: Implicit Neural Features for Exposing Realism
Dhananjaya Jayasundara, Kartik Narayan, Vishal M. Patel

Under Review
paper
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
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
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
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
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
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
Using Epidemic Modeling, Machine Learning & Control Feedback Strategy for Policy Management of COVID-19
Kartik Narayan, Heena Rathore, Faycal Znidi

IEEE Access 10 (2022): 98244–98258
paper / pdf
Leveraging Ambient Sensing for the Estimation of Curiosity-Driven Human Crowd
Anirban Das, Kartik Narayan, Suchetana Chakraborty

IEEE International Systems Conference (SysCon) 2022
paper

Template credits. Last updated September 2026.