output
20122026
most citedLearning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

226 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021 · cs.CVShow all

5 papers · 2 filters

cs.CV2021★ 1 cited

The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video

John Gideon, Simon Stent

The ability to reliably estimate physiological signals from video is a powerful tool in low-cost, pre-clinical health monitoring. In this work we propose a new approach to remote p…

cs.CV2021

Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection

Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi +3

In order to robustly deploy object detectors across a wide range of scenarios, they should be adaptable to shifts in the input distribution without the need to constantly annotate…

cs.CV2021

Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency

Aditya Ganeshan, Alexis Vallet, Yasunori Kudo +5

Deep learning models for semantic segmentation rely on expensive, large-scale, manually annotated datasets. Labelling is a tedious process that can take hours per image. Automatica…

cs.CV2021

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz +1

Accurate prediction of pedestrian and bicyclist paths is integral to the development of reliable autonomous vehicles in dense urban environments. The interactions between vehicle a…

cs.CV2021

MarioNette: Self-Supervised Sprite Learning

Dmitriy Smirnov, Michael Gharbi, Matthew Fisher +3

Artists and video game designers often construct 2D animations using libraries of sprites -- textured patches of objects and characters. We propose a deep learning approach that de…