Fabien Delattre

I am a Senior Computer Vision Engineer at Vardera Labs. I graduated with a Ph.D. from the Manning College of Information & Computer Sciences at the University of Massachusetts Amherst, where I was advised by Prof. Erik Learned-Miller and was part of the Vision lab. I received a M.S. in Computer Sciences from ISEN Lille engineering school (2019) in France.

In the past, I interned at Disney Research Studios, Dolby Laboratories, Mitsubishi Electric Research Laboratories (MERL), Samsung Strategy and Innovation Center (SSIC) and Thales.

CV / LinkedIn

Research

I'm interested in computer vision and machine learning. My current research is about motion perception.

	Human Pose Aggregation for Multi-View Temporal Video Alignment Fabien Delattre, Tsung-Wei Huang, Guan-Ming Su, Erik Learned-Miller. Winter Conference on Applications of Computer Vision (WACV), 8 pages (2025) project page / paper / code /
	Robust frame-to-frame camera rotation estimation in crowded scenes Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik Learned-Miller. International Conference on Computer Vision (ICCV), 10 pages (2023) project page / paper / code / data
	C-14: assured timestamps for drone videos Zhipeng Tang, Fabien Delattre, Pia Bideau, Mark Corner, Erik Learned-Miller Proceedings of the 26th Annual International Conference on Mobile Computing and Networking (2020) paper / code
	RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs Logan Lawrence, Oindrila Saha, Rangel Daroya, Mustafa Chasmai, Wuao Liu, Max Hamilton, Aaron Sun, Seoyun Jeong, Fabien Delattre, Subhransu Maji, Grant Van Horn. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 2445–2456 (2026) paper
	A domain-agnostic approach for characterization of lifelong learning systems Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sebastien M. R. Arnold, Ese Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, David Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha. Neural Networks, Volume 160, 70 pages (2023) paper
	FLIGHT: Fibonacci Lattice-based Inference for Geometric Heading in real-Time David Dirnfeld, Fabien Delattre, Pedro Miraldo, Erik Learned-Miller. ArXiv 2602.23115 (2026): n. pag. (2026) paper

Class projects

Minimum commitment Loss for Semantic Segmentation with partial labels

Fabien Delattre, Vishnu Balakrishnan

2020

paper

Self-supervised visual feature learning with curriculum

Vishal Keshav, Fabien Delattre

2020

paper / code

Tools

PaperMap is a literature review tool to build a citation graph, and see how papers relate to each other at a glance.

Teaching Assistantship

Fall 2020 - COMPSCI 250: Introduction to Computation
Spring 2021 - COMPSCI 230: Computer systems principles
Fall 2022 - COMPSCI 230: Computer systems principles
Spring 2023 - CMPSCI 574/674: Intelligent Visual Computing: A Neural Network Approach
Spring 2024 - COMPSCI 670: Computer Vision
Fall 2024 - COMPSCI 670: Computer Vision

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