activity
20202026
most citedA Domain-Agnostic Approach for Characterization of Lifelong Learning Systems

17 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs

Logan Lawrence, Mustafa Chasmai, Rangel Daroya +8

Fine-grained bird species identification in the wild is frequently unanswerable from a single image: key cues may be non-visual (e.g. vocalization), or obscured due to occlusion, c…

cs.CV2026

FLIGHT: Fibonacci Lattice-based Inference for Geometric Heading in real-Time

David Dirnfeld, Fabien Delattre, Pedro Miraldo +1

Estimating camera motion from monocular video is a fundamental problem in computer vision, central to tasks such as SLAM, visual odometry, and structure-from-motion. Existing metho…

cs.CV2023

Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes

Fabien Delattre, David Dirnfeld, Phat Nguyen +4

We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video. While camera rotation estimation is a well-studied problem, no pre…

cs.LG2023★ 17 cited

A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems

Megan M. Baker, Alexander New, Mario Aguilar-Simon +44

Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks enc…

cs.CV2020★ 2 cited

Self-supervised visual feature learning with curriculum

Vishal Keshav, Fabien Delattre

Self-supervised learning techniques have shown their abilities to learn meaningful feature representation. This is made possible by training a model on pretext tasks that only requ…