Komal Kumar

According to our database, Komal Kumar authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework.

Komal Kumar, Aman Chadha, Salman Khan, Fahad Shahbaz Khan, Hisham Cholakkal

CoRR, April, 2026

CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning.

Ankan Deria, Komal Kumar, Xilin He, Imran Razzak, Hisham Cholakkal, Fahad Shahbaz Khan, Salman Khan

CoRR, April, 2026

MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images.

Ankan Deria, Komal Kumar, Adinath Madhavrao Dukre, Eran Segal, Salman Khan, Imran Razzak

CoRR, February, 2026

2025

DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models.

Komal Kumar, Rao Muhammad Anwer, Fahad Shahbaz Khan, Salman H. Khan, Ivan Laptev, Hisham Cholakkal

CoRR, September, 2025

Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays.

Komal Kumar, Snehashis Chakraborty, Kalyan Tadepalli, Sudipta Roy

Multim. Tools Appl., May, 2025

On fully entangled fraction and quantum conditional entropies for states with maximally mixed marginals.

Komal Kumar, Indranil Chakrabarty, Nirman Ganguly

Quantum Inf. Process., March, 2025

Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions.

Mohammed Khaleed Almansoori, Komal Kumar, Hisham Cholakkal

CoRR, March, 2025

LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

Komal Kumar, Tajamul Ashraf, Omkar Thawakar, Rao Muhammad Anwer, Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, Phillip H. S. Torr, Salman H. Khan, Fahad Shahbaz Khan

CoRR, February, 2025

Robust semantic learning for precise medical image segmentation.

Snehashis Chakraborty, Komal Kumar, Ankan Deria, Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy

Biomed. Signal Process. Control., 2025

Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet.

Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy

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

MedAgentSim: Self-evolving Multi-agent Simulations for Realistic Clinical Interactions.

Mohammed Khaleed Almansoori, Komal Kumar, Hisham Cholakkal

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

IHA-YOLO: Inter-Head Attention for Real-Time Cell Detection.

Tooba Tehreem Sheikh, Komal Kumar, Muhammad Awais, Noa Novershtern, Rao Muhammad Anwer, Hisham Cholakkal

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Unleashing the power of explainable AI: sepsis sentinel's clinical assistant for early sepsis identification.

Snehashis Chakraborty, Komal Kumar, Kalyan Tadepalli, Balakrishna Pailla, Sudipta Roy

Multim. Tools Appl., 2024

Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images.

Abhijit Das, Vandan Gorade, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation.

Ankan Deria, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Self-supervised Diffusion Model for Anomaly Segmentation in Medical Imaging.

Komal Kumar, Snehashis Chakraborty, Sudipta Roy

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

An Explainable AI based Clinical Assistance Model for Identifying Patients with the Onset of Sepsis.

Snehashis Chakraborty, Komal Kumar, Pailla Balakrishna Reddy, Tanushree Meena, Sudipta Roy

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Robust MSFM Learning Network for Classification and Weakly Supervised Localization.

Komal Kumar, Balakrishna Pailla, Kalyan Tadepalli, Sudipta Roy

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023