Fahad Shahbaz Khan

Mohamed bin Zayed University of Artificial Intelligence — AE

Computer Science · Physical Sciences

84h-index38.4kcitations488works12.12yr avg
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Research Topics

Advanced Neural Network Applications(105), Domain Adaptation and Few-Shot Learning(96), Multimodal Machine Learning Applications(89), Video Surveillance and Tracking Methods(80), Advanced Image and Video Retrieval Techniques(78)

Publications488 total

Frontiers in Intelligent Colonoscopy
Machine Intelligence Research·2026· 1 citedOpen Access
Underwater visual tracking with a large scale dataset and image enhancement
Neurocomputing·2026Open Access
How Good is my Histopathology Vision-Language Foundation Model? A Holistic Benchmark
SSRN Electronic Journal·2026Open Access
Video-R2: Reinforcing Consistent and Grounded Reasoning in Multimodal Language Models
arXiv (Cornell University)·2025Open Access
Diversity Has Always Been There in Your Visual Autoregressive Models
arXiv (Cornell University)·2025Open Access
VSCode-v2: Dynamic Prompt Learning for General Visual Salient and Camouflaged Object Detection With Two-Stage Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025
EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards
arXiv (Cornell University)·2025Open Access
SED++: A Simple Encoder-Decoder for Improved Open-Vocabulary Semantic Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025
DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding
2025· 1 cited
MATRIX: Multimodal Agent Tuning for Robust Tool-Use Reasoning
arXiv (Cornell University)·2025Open Access
GeoVLM-R1: Reinforcement Fine-Tuning for Improved Remote Sensing Reasoning
arXiv (Cornell University)·2025Open Access
DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models
arXiv (Cornell University)·2025Open Access
Hierarchical Self-supervised Adversarial Training for Robust Vision Models in Histopathology
Lecture notes in computer science·2025
How Good are Foundation Models in Step-by-Step Embodied Reasoning?
arXiv (Cornell University)·2025Open Access
Beyond Simple Edits: Composed Video Retrieval with Dense Modifications
ArXiv.org·2025Open Access
Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation
arXiv (Cornell University)·2025Open Access
LawDIS: Language-Window-based Controllable Dichotomous Image Segmentation
arXiv (Cornell University)·2025Open Access
RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping
arXiv (Cornell University)·2025Open Access
Vocabulary-free Fine-grained Visual Recognition via Enriched Contextually Grounded Vision-Language Model
arXiv (Cornell University)·2025Open Access
TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Martin Danelljan(16), Michael Felsberg(16), Salman Khan(12), Ming–Hsuan Yang(11), Ling Shao(11), Joost van de Weijer(10), Syed Waqas Zamir(9), Munawar Hayat(9), Aditya Arora(7), G Hager(7), Jiřı́ Matas(6), Rao Muhammad Anwer(6), Goutam Bhat(5), Matej Kristan(5), Aleš Leonardis(5), Roman Pflugfelder(5), Luka Čehovin Zajc(5), Alan Lukežič(5), Gustavo J. Fernández(5), Abel González-García(5)