78 citations · 159 across the 16 of their papers we have counts for
8 papers · 1 filter
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning
Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz +1
Deep learning based object detectors struggle generalizing to a new target domain bearing significant variations in object and background. Most current methods align domains by usi…
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
Sharon Chokuwa, Muhammad H. Khan
Domain generalization for Diabetic Retinopathy (DR) classification allows a model to adeptly classify retinal images from previously unseen domains with various imaging conditions…
Unsupervised Landmark Discovery Using Consistency Guided Bottleneck
Mamona Awan, Muhammad Haris Khan, Sanoojan Baliah +4
We study a challenging problem of unsupervised discovery of object landmarks. Many recent methods rely on bottlenecks to generate 2D Gaussian heatmaps however, these are limited in…
Multiclass Alignment of Confidence and Certainty for Network Calibration
Vinith Kugathasan, Muhammad Haris Khan
Deep neural networks (DNNs) have made great strides in pushing the state-of-the-art in several challenging domains. Recent studies reveal that they are prone to making overconfiden…
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy
Sanoojan Baliah, Fadillah A. Maani, Santosh Sanjeev +1
Diabetic Retinopathy (DR), a leading cause of vision impairment, requires early detection and treatment. Developing robust AI models for DR classification holds substantial potenti…
Unsupervised Deep Graph Matching Based on Cycle Consistency
Siddharth Tourani, Carsten Rother, Muhammad Haris Khan +1
We contribute to the sparsely populated area of unsupervised deep graph matching with application to keypoint matching in images. Contrary to the standard \emph{supervised} approac…
Multiclass Confidence and Localization Calibration for Object Detection
Bimsara Pathiraja, Malitha Gunawardhana, Muhammad Haris Khan
Albeit achieving high predictive accuracy across many challenging computer vision problems, recent studies suggest that deep neural networks (DNNs) tend to make overconfident predi…
Single-branch Network for Multimodal Training
Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan +4
With the rapid growth of social media platforms, users are sharing billions of multimedia posts containing audio, images, and text. Researchers have focused on building autonomous…