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University of Missouri-Columbia's Projects

asot icon asot

Associating and Segmenting Objects with Transformers in High Quality (ASOT)

csft icon csft

Geometric and Photometric Invariant DCT Spectral Feature Tracking for Camera Pose Estimation and Stereo

deepftsg icon deepftsg

DeepFTSG is the proposed network used for moving object detection.

ednet-yolo icon ednet-yolo

Ensemble Detection Framework for cell tracking.

mexnet icon mexnet

Multi-Expert (MExNet) for Multi-Disease Detection in Retinal Fundoscopy Images

motion-se-mit-net icon motion-se-mit-net

AIPR2023 - Marker and Motion Guided Deep Networks for Cell Segmentation and Detection Using Weakly Supervised Microscopy Data

motion-u-net icon motion-u-net

Motion U-Net is multi-cue autoencoder deep architecture for robust moving object detection

nimbus icon nimbus

Point cloud visualization tool developed at the University of Missouri

plant-seg-extended icon plant-seg-extended

A tool for cell instance aware segmentation in densely packed 3D volumetric images

pytag icon pytag

pyTAG is a lightweight interactive tracking assisted ground-truth generation tool.

use-net icon use-net

USE-Net is the proposed network used for nuclei instance segmentation in histopathology images.

vulcnnmiz icon vulcnnmiz

This is a modified deep learning-based vulnerability detection architecture of VulCNN that uses an additional code feature.

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