activity
20162023
most citedBootstrap your own latent: A new approach to self-supervised Learning

3.4k citations · 4.7k across the 28 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2023★ 4 cited

SemPPL: Predicting pseudo-labels for better contrastive representations

Matko Bošnjak, Pierre H. Richemond, Nenad Tomasev +7

Learning from large amounts of unsupervised data and a small amount of supervision is an important open problem in computer vision. We propose a new semi-supervised learning method…

cs.CV2021

Broaden Your Views for Self-Supervised Video Learning

Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac +11

Most successful self-supervised learning methods are trained to align the representations of two independent views from the data. State-of-the-art methods in video are inspired by…

cs.CV2019★ 1 cited

Correction of Electron Back-scattered Diffraction datasets using an evolutionary algorithm

Florian Strub, Marie-Agathe Charpagne, Tresa M. Pollock

In materials science and particularly electron microscopy, Electron Back-scatter Diffraction (EBSD) is a common and powerful mapping technique for collecting local crystallographic…

cs.CV2018

Visual Reasoning with Multi-hop Feature Modulation

Florian Strub, Mathieu Seurin, Ethan Perez +5

Recent breakthroughs in computer vision and natural language processing have spurred interest in challenging multi-modal tasks such as visual question-answering and visual dialogue…

cs.CV2017★ 192 cited

FiLM: Visual Reasoning with a General Conditioning Layer

Ethan Perez, Florian Strub, Harm de Vries +2

We introduce a general-purpose conditioning method for neural networks called FiLM: Feature-wise Linear Modulation. FiLM layers influence neural network computation via a simple, f…

cs.CV2017★ 23 cited

Learning Visual Reasoning Without Strong Priors

Ethan Perez, Harm de Vries, Florian Strub +2

Achieving artificial visual reasoning - the ability to answer image-related questions which require a multi-step, high-level process - is an important step towards artificial gener…

cs.CV2017★ 298 cited

Modulating early visual processing by language

Harm de Vries, Florian Strub, Jérémie Mary +3

It is commonly assumed that language refers to high-level visual concepts while leaving low-level visual processing unaffected. This view dominates the current literature in comput…