Amin Karimi Monsefi

According to our database, Amin Karimi Monsefi authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Controlla: Learning Controllability via Graph-Constrained Latent Geometry.

Jamuna S. Murthy, Amin Karimi Monsefi, Rajiv Ramnath

CoRR, May, 2026

SeamCam: Quantifying Seamless Camouflage via Multi-Cue Visual Detectability.

Amin Karimi Monsefi, Abolfazl Meyarian, Mridul Khurana, Shuheng Wang, Pouyan Navard, Cheng Zhang, Anuj Karpatne, Wei-Lun Chao, Rajiv Ramnath

CoRR, May, 2026

DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models.

Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade, Lokesh Boominathan, Manuel Rafael Ciosici, Yizhe Zhang, Irina Belousova

CoRR, May, 2026

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation.

Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade, Manuel Rafael Ciosici, Yizhe Zhang, Irina Belousova

CoRR, May, 2026

TaxaAdapter: Vision Taxonomy Models are Key to Fine-grained Image Generation over the Tree of Life.

Mridul Khurana, Amin Karimi Monsefi, Justin Lee, Medha Sawhney, David Carlyn, Julia Chae, Jianyang Gu, Rajiv Ramnath, Sara Beery, Wei-Lun Chao, Anuj Karpatne, Cheng Zhang

CoRR, March, 2026

DiReCT: Disentangled Regularization of Contrastive Trajectories for Physics-Refined Video Generation.

Abolfazl Meyarian, Amin Karimi Monsefi, Rajiv Ramnath, Ser-Nam Lim

CoRR, March, 2026

2025

FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models.

Amin Karimi Monsefi, Nikhil Bhendawade, Manuel Rafael Ciosici, Dominic Culver, Yizhe Zhang, Irina Belousova

CoRR, September, 2025

Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning.

Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Taxadiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation.

Amin Karimi Monsefi, Mridul Khurana, Rajiv Ramnath, Anuj Karpatne, Wei-Lun Chao, Cheng Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models.

Pouyan Navard, Amin Karimi Monsefi, Mengxi Zhou, Wei-Lun Chao, Alper Yilmaz, Rajiv Ramnath

CoRR, 2024

DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks.

Amin Karimi Monsefi, Kishore Prakash Sailaja, Ali Alilooee, Ser-Nam Lim, Rajiv Ramnath

CoRR, 2024

Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain.

Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Smart and collaborative industrial IoT: A federated learning and data space approach.

Bahar Farahani, Amin Karimi Monsefi

Digit. Commun. Networks, April, 2023

Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations.

Ahmad Mohammadshirazi, Aida Nadafian, Amin Karimi Monsefi, Mohammad Hossein Rafiei, Rajiv Ramnath

CoRR, 2023

CrashFormer: A Multimodal Architecture to Predict the Risk of Crash.

Amin Karimi Monsefi, Pouya Shiri, Ahmad Mohammadshirazi, Nastaran Karimi Monsefi, Ron Davies, Sobhan Moosavi, Rajiv Ramnath

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI, 2023

2022

Will there be a construction?: predicting road constructions based on heterogeneous spatiotemporal data.

Amin Karimi Monsefi, Sobhan Moosavi, Rajiv Ramnath

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2019

Solving the Reaction-Diffusion equation based on analytical methods and deep learning algorithm; the Case study of sulfate attack to concrete.

Amin Karimi Monsefi, Rana Bakhtiyarzade

CoRR, 2019

Real-time Travel Time Estimation Using Matrix Factorization.

Ebrahim Badrestani, Behnam Bahrak, Ali Elahi, Adib Faramarzi, Pouria Golshanrad, Amin Karimi Monsefi, Hamid Mahini, Armin Zirak

CoRR, 2019