Denis Mbey Akola

Graduate student

New York University

About me

I am a Ph.D. student at New York University working with Prof. David Fouhey. I received my M.S. in Computer Science from Institut Polytechnique de Paris and my B.S. in Computer Engineering from Kwame Nkrumah University of Science and Technology.

My research focuses on building generalizable 3D perception systems that enable machines to understand the visual world from limited observations and minimal supervision. I explore the intersection of computer vision, 3D vision, foundation models, representation learning, and generative modeling, with an emphasis on learning and leveraging geometric representations for robust scene understanding and novel-view reasoning. Ultimately, I aim to develop scalable 3D perception systems for robotics, autonomous driving, and augmented and virtual reality.

Interests

3D Computer Vision
Generative Models for 3D
AI4Science (Healthcare applications)

Education

Ph.D Electrical Engineering, present
New York University
Msc. Computer Science, 2023
Institut Polytechnique de Paris
BSc. Computer Engineering, 2020
Kwame Nkrumah University of Science and Technology

Recent News

June 2026: Paper Z3D: Zero-Shot Novel View Depth Synthesis Using 3D Foundation Models’ Scene Representations was accepted at ECCV 2026!

April 2026: Passed my qualifying exams at NYU Tandon ECE and officially became a PhD candidate!

Show older news

May 2024: Co-organized the first SPARK Deep Learning Workshop: From Basics to Applications in the Context of Ghana with IndabaX Ghana at Kwame Nkrumah University of Science and Technology (KNUST).

April 2024: Joined the lab of Prof. David Fouhey as a PhD student at New York University. Grateful to my mentors and to the Emerging Leaders in AI (ELAI) Grad Prep Program from Black in AI for their support.

October 2023: Received my MSc degree with highest honors and jury congratulations from Institut Polytechnique de Paris.

September 2023: Defended my MSc thesis at Institut Polytechnique de Paris. Thanks to Gilles Puy and David Hurych, my advisors at Valeo.ai.

September 2023: Presented an extended abstract on “How to Train an Ensemble of Faster R-CNN Models to Quantify Uncertainty” at the 8th Junior Conference on Data Science and Engineering (JDSE) in Orsay, France.

August 2023: Attended ICCV 2023 in Paris, France, as a student volunteer.

January 2023: Joined Valeo.ai as a research intern for Spring and Summer 2023, working on domain adaptation for 3D semantic segmentation as part of my master’s thesis.

Experience

Computer Vision Research Intern

Valeo AI

Mar 2023 – Aug 2023 Paris, France

Research Assistant

ENSTA PARIS, UI2S Research Laboratory

Sep 2021 – Feb 2023 Palaiseau,France

Computer Vision Research Intern

Tribun Health

May 2022 – Aug 2022 Paris,France

Software Engineer

Bewsys

Sep 2021 – Apr 2022 Accra,Ghana

Research and Teaching Assistant

Department of Computer Engineering, Kwame Nkrumah University of Science and Technology

Sep 2020 – Aug 2021 Kumasi,Ghana

Software Engineer

FillyCoder

Jul 2020 – Jul 2021 Accra,Ghana

Publications

Denis Mbey Akola, David Fouhey

August, 2026 ECCV 2026

Zero-Shot Novel Depth Synthesis Using 3D Foundation Model Scene Representations

Z3D performs zero-shot novel-view depth synthesis using 3D foundation model scene representations, enabling target-view depth synthesis from sparse source views.

Honors & Awards

Bourse Excellence scholarship receipent at IP Paris (2021-2023)
Campus France Ghana scholarship receipent at IP Paris (2021-2023)
Excellent student award recipient, College of Engineering, KNUST (2017,2018,2019)
Mastercard Foundation Scholarship award at KNUST (2016-2020) [Link]
Excellent graduating student, St. Charles Minor Seminary SHS (2015)

Projects

AITextDetector

This is a course project for Text Mining and NLP at Ecole Polytechnique aimed at building a classification model that can differentiate between AI-generated and human-written text. Pre-trained language models such as BERT, RoBERTa, and GPT-2 were utilized to train multiple models, with the best model achieving a 90% accuracy after extensive testing. The project has implications in critical domains such as journalism, social media, and customer service.

Uncertainity estimation in object detection models

This project aimed to quantify uncertainty in object detection models. To this end, I trained a Deep Ensemble of object detections models. Specifically, I proposed a new training protocol for training an ensemble of Faster R-CNN models using only one Region Proposal Network (RPN). In this training scheme, all you need is one RPN network and multiple Fast R-CNN prediction heads to create a robust ensemble network. This proposal produces results that are comparable to the traditional approach of fully training deep learning models end-to-end for ensembling.

Multiple Object Tracking

This project tackles multiple object tracking which is a challenging problem in Computer Vision. To this end,I trained a robust pedestrain object model using Faster R-CNN object detection algorithms to localise pedestrains in video frame sequences using MOT17DET dataset. I then leveraged tracking-by-detection algorithms such as SORT and Tracktor++ for tracking people in MOT17 dataset.

TelloSLAM

This project is an implementation of a SLAM package for the Tello drone using the ORBSLAM2 algorithm. The ROS package achieved near real-time SLAM results and enabled the Tello drone to build a map of an unknown environment and to simultaneously determine its location within the map.

H-index Prediction

H-index Prediction was a class based kaggle challenge with over 120 groups in the Machine and Deep Learning Course at Ecole Polytechnique. The objective was to find the best NLP model, based on the MSE (Mean Squared Error), to predict the h-index of scientific authors in the domain of computer science.

Image Filtering

This project exploit parallelism in a sequential image filtering program. This project aims to parallelize this program using parallel programming tools (OpenMP, MPI, and CUDA). This program reduced the computation time of applying Sobel and blur filters on gif images by 20%. The speed-up of image filtering programs is necessary as it is applicable in many sub-fields of image processing.

UAV path-planning and communication joint optimization

This project aimed to solve the non-convex optimization problem of finding an optimal path for a UAV to move from a base station to a target/inspection point while respecting the strict constraints of power, and data transmission rate. The problem was first transformed into a convex optimization problem and solved using classical optimization algorithms in CVXPY.

PlantDoc

PlantDoc is a deep learning solution for diagnosing and recommending treatment options for African food crops. The model currently identifies some diseases in apples, maize, blueberry, potato, tomato, and cherries. This is a work in progress, and I plan to include in this project a recommendation system to suggest treatment options for the identified diseases. Also, I would build a mobile application to make this model easily accessible to farmers so that they can use this application on any smart device.

HomDoc

HomDoc is a telehealth application that enables people to have access to medical care outside of their physical geographical region. This application incorporates call, chat, and video functionalities that allows patients to communicate with medical doctors over the internet. The application has helped to provide improved access to quality healthcare in Ghana and Nigeria.

Smart Irrigation System

I trained an LSTM deep learning model to predict rainfall patterns for Kumasi. I built an efficient and smart irrigation system to conserve water using predictions from the deep learning model. I also created a mobile app to provide real-time farm data to the farmer.

Community Engagement

Mentorship: I am always excited to mentor and support others to realize their full potential. I have mentored brilliant but needy students and guided them to apply for scholarships to pursue a university education. I have mentored five (5) students in my community, who are currently pursuing undergraduate programs at various universities in Ghana and abroad. I also mentor students across Africa through the Deep Learning Indaba mentorship program.

Conference Reviews: I am thrilled to have served as a reviewer for the African Computer Vision Summer School (ACVSS) 2024.

Community projects and Leadership: I founded a non-governmental organization called TechOne Foundation in Zebilla, my hometown in the Upper East Region of Ghana. Through this initiative, I teamed up with my friends in the community to provide ICT lessons to students. We have plans to extend the scope of the foundation to provide training programs in data science and software engineering to help the youth and school dropouts in Zebilla to acquire skills in these demanding areas to make themselves employable. Also, in France, I serve as the media secretary of the National Union of Ghanaians Students France Chapter.

Tutoring: During my time as a teaching assistant at the Department of Computer Engineering, I organized tutorial lessons in Computer Vision, Robotics, Linear Electronics, and Computer Graphics. In these sessions, I helped the students to have a further grasp of course concepts that were taught by the professors.

Volunteering: I have taken part in several community give-back initiatives during my time as a Mastercard Foundation Scholar. From teaching high school students to blood donation campaigns. I cherished every opportunity I had to give back to my community. In 2018, I spent two (2) months volunteering at Turing Trust Foundation in Kumasi, Ghana as a technical assitant. I installed useful educational software such as Microsoft Office Suite, Mavis Beacon Typing tutor and fixed glitches on recycled computers that were distributed to various basic and Junior High Schools in Ghanna to aid in the teaching and learning of ICT.

Please feel free to reach out, if you find this interesting and would like to collaborate for us to make an impact. I am always opened to learning from other people’s ideas. Together we can make the world better and put smiles on the faces of people.

Miscellaneous

Nature Photography: I enjoy spending time immersed in natural landscapes. I will be sharing photos of beautiful scenes I have captured during my travels and visits to nature parks worldwide. I have a passion for wildlife and will also post pictures from my wildlife adventures here.

Beautiful Sunset Photos - Plateau de Saclay, South of Paris,France, Jardin de Luxembourg, Paris, France, Prague Zoo, Czech Republic, Jardin des Tuileries, Paris, France , Lake Site - Ecole Polytechnique, Institut Polytechnique de Paris, France