1 citations · 1 across the 2 of their papers we have counts for
5 papers
DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints
Sebastian Janampa, Marios Pattichis
Multi-person pose estimation (MPPE), which involves detecting body joint positions (keypoints) for every person in an image, is a fundamental task in computer vision. Despite recen…
Inverting Neural Networks: New Methods to Generate Neural Network Inputs from Prescribed Outputs
Rebecca Pattichis, Sebastian Janampa, Constantinos S. Pattichis +1
Neural network systems describe complex mappings that can be very difficult to understand. In this paper, we study the inverse problem of determining the input images that get mapp…
LINEA: Fast and Accurate Line Detection Using Scalable Transformers
Sebastian Janampa, Marios Pattichis
Line detection is a basic digital image processing operation used by higher-level processing methods. Recently, transformer-based methods for line detection have proven to be more…
DT-LSD: Deformable Transformer-based Line Segment Detection
Sebastian Janampa, Marios Pattichis
Line segment detection is a fundamental low-level task in computer vision, and improvements in this task can impact more advanced methods that depend on it. Most new methods develo…
SOFI: Multi-Scale Deformable Transformer for Camera Calibration with Enhanced Line Queries
Sebastian Janampa, Marios Pattichis
Camera calibration consists of estimating camera parameters such as the zenith vanishing point and horizon line. Estimating the camera parameters allows other tasks like 3D renderi…