Fundamental Discoveries, Transformative Applications

Discover VIMS Lab @ University of Delaware

Video/Image Modeling and Synthesis (VIMS) Lab

Projects

There are many ongoing and supported research projects in the VIMS lab. Currently, work is being done in the following research areas: Stereo Vision, Machine Learning, Image Processing, Virtual Reality, Data Mining, Biomedical Image Analysis, and more.

Sea ice analysis

Identifying and understanding various characteristics of sea ice

Human health

Use of machine learning techniques for precision medicine

Plant health

Quantifying plant cell structures dynamics in microscopy images

CATS dataset

A color And thermal stereo dataset for stereo matching across multiple modalities

3D computer vision

A collection of 3D computer vision research

Virtual reality

Discovery, visualization, and annotation tools for scientific applications

3DGrocery100

3D point cloud dataset of 100 grocery items

Publications

News

Daniela Wins OSPA at AGU24 for Arctic AI

Our PhD student, Daniela Martin, receives the Outstanding Student Presentation Award at AGU24

Test of Time Award in WACV 2025

Deep Learning Breakthrough in Age Estimation Wins Test of Time Award

VIMS Lab Director in CVPR 2026

Dr. Chandra Kambhamettu will be General Chair of IEEE/CVF CVPR 2026

CVPR 2023

First place in VizWiz Grand Challenge

Explosives detection method

Drone Explosive Detection

Detecting Hidden Threats

Technologies to help soldiers spot explosive devices

Virtual Reaility on Ice

Bringing polar region to life using virtual reality

Cheers for Academic Elite

University of Delaware doctoral recipients headed for fulfilling work

Team

Dr. Chandra Kambhamettu

Director & Research Advisor

Dr. Philip Saponaro

Associate Scientist

Multimodal Stereo Vision, Augmented and Virtual Reality, and Machine Learning

Ashuta Bhattarai

Ph.D. Student

Deep learning, Image Classification, Virtual Reality, and Machine Learning

Rohit Venkata Sai Dulam

Ph.D. Student

Deep Learning and Programmable Intuition

Michael Pergeorelis

Ph.D. Student

Deep Learning and Computer Vision

Huining Liang

Ph.D. Student

Deep Learning and Computer Vision

Yufan Wang

Ph.D. Student

Deep Learning and Computer Vision

Tyler Rust

Ph.D. Student

3D Reconstruction and Object Recognition

Dara McNally

Ph.D. Student

Deep Learning and Computer Vision

Daniela Martin

Ph.D. Student

Deep Learning, Computer Vision, Remote Sensing and Astrophysics

Kyle O'Donnell

Ph.D. Student

Deep Learning, Computer Vision, and Edge AI Deployment

Brendon Gutierrez-Rebettge

Ph.D. Student

Biomedical Applications of Computer Vision and Human-Computer Interaction

Photos

Computational Resources

Two servers with 4xA6000 each

Two workstations with 2x3090 each

Three workstations with 4x2080Ti each

One workstation with 2x2080Ti

One workstation with 1x2080Ti and 1x1080Ti

One server with 2xPascal GPUs

Join us in advancing computer vision

Our lab is at the forefront of advancing computer vision through deep learning. Get involved and help us explore the next generation of visual understanding technologies.