Similar Posts

|

ICIAP 2019 – Dimensionality Reduction Using Discriminative Autoencoders for Remote Sensing Image Retrieval

By

Mohbat, Tooba Mukhtar, Numan Khurshid, and Murtaza Taj International Conference on Image Analysis and Processing (ICAIP), Trento, Itlay, September 9-13, 2019 Abstract Advancements in deep learning techniques caused a paradigm shift in feature extraction for image perception from handcrafted methods to deep methods. However, these deep features if learned through unsupervised methods bear large memory…

MS Thesis Defense: Muhammad Ahmed Bhimra

MS Thesis Defense: Muhammad Ahmed Bhimra

By

Spatio-Temporal Analysis of Landuse-Landcover Change Using Satellite Imagery Thursday 28 Feb, 2019 at 10:00 am in Smart Room 9-105 SBASSE. Abstract We propose an approach to recognize large scale, rapid spatio-temporal analysis of satellite remote sensing data. This technique can be used to measure longitudinal changes and yearly changes. Most of the existing methods either…

|

Aamer Zaheer

By

Aamer Zaheer is a Ph.D. candidate in the Department of Computer Science, Lahore University of Management Sciences.   Publications: ICCV2011, ECCV2012   or did it take a change in perspective and large porn tubeTips to get Success in World of Fashion Modeling The Fashion ED Hardy Hoodies for Glamorous Ladies lesbian porn a vibrant suburbthe…

Localization Lens for Improving Medical Vision-Language Models
|

Localization Lens for Improving Medical Vision-Language Models

Bycvlabadmin

Hasan Farooq, Murtaza Taj, Mehwish Nasim, Arif Mahmood Abstract: Medical Vision-Language Models (Med-VLMs) have demonstrated strong capabilities in clinical tasks. However, they often struggle to understand anatomical structures and spatial positioning, which are crucial for medical reasoning. To address this, we propose a localization-aware enhancement to the Med-VLM pipeline, introducing improvements at three levels: data,…

Leave a Reply

Your email address will not be published. Required fields are marked *