3 citations · 4 across the 3 of their papers we have counts for
5 papers
Fusion Under Component Failure: Negative Results and Failure Modes in Ensemble AI-Generated Image Detection
Suraj Singh, Tushar Verma, Pragyan Singh +2
We built an ordinary stacking ensemble for AI-generated image detection -- three open detectors producing five scores, fused by a gradient-boosted meta-learner that treats a detect…
Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation
Nabil Hezil, Suraj Singh, Vita Vlasova +3
Accurate segmentation of vascular structures in coronary angiography remains a core challenge in medical image analysis due to the complexity of elongated, thin, and low-contrast v…
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration
Suraj Singh, Anastasia Batsheva, Oleg Y. Rogov +1
Modern image restoration and super-resolution methods utilize deep learning due to its superior performance compared to traditional algorithms. However, deep learning typically req…
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients
Tushar Verma, Jyotsna Singh, Yash Bhartari +3
Small object detection in aerial imagery presents significant challenges in computer vision due to the minimal data inherent in small-sized objects and their propensity to be obscu…
ICML 2023 Topological Deep Learning Challenge : Design and Results
Mathilde Papillon, Mustafa Hajij, Helen Jenne +53
This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competi…