Fahad Shahbaz Khan

A new method improves landmark detection without human labeling.

New methods reduce human labeling while improving object detection accuracy.

MobiLlama offers efficient language processing for devices with limited resources.

Understanding model robustness is key for real-world applications in various fields.

New framework improves video searches by combining visuals and detailed language descriptions.

MAVOS introduces an efficient method for tracking objects in long video clips.

ELGC-Net improves accuracy in detecting changes using satellite images.

Learn to classify objects using images and 3D point clouds without labels.

Assessing the capabilities and challenges of advanced video understanding models.

Open-YOLO 3D enhances 3D instance segmentation with speed and accuracy.

Study examines the robustness of segmentation models against adversarial attacks in healthcare.

This article examines how Visual State Space Models handle visual challenges.

VANE-Bench enhances detection of anomalies in videos amidst growing AI content.

A new method improves video action recognition using contextual language.

GroupMamba enhances image processing efficiency and accuracy in computer vision tasks.

New methods expose vulnerabilities in medical models through backdoor attacks.

This study explores innovative ways to influence and interact with dreams through brain signals.

iSeg improves image segmentation accuracy with less training data.

A study on improving weather predictions in the Middle East and North Africa.

New tools improve how we describe changes in satellite images over time.

VideoGLaMM enhances video understanding through detailed visual and textual connections.

GEOBench-VLM evaluates models for interpreting geospatial data and images.

A new dataset revolutionizes analysis of medical images and their descriptions.

Simplifying environmental data through engaging conversations.