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Tariq Berrada

4 papers hereh-index 480 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedGuided Distillation for Semi-Supervised Instance Segmentation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025

OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows

John Nguyen, Marton Havasi, Tariq Berrada +2

We present OneFlow, the first non-autoregressive multimodal model that enables variable-length and concurrent mixed-modal generation. Unlike autoregressive models that enforce rigi…

cs.CV2024

Boosting Latent Diffusion with Perceptual Objectives

Tariq Berrada, Pietro Astolfi, Melissa Hall +6

Latent diffusion models (LDMs) power state-of-the-art high-resolution generative image models. LDMs learn the data distribution in the latent space of an autoencoder (AE) and produ…

cs.CV2024

Unlocking Pre-trained Image Backbones for Semantic Image Synthesis

Tariq Berrada, Jakob Verbeek, Camille Couprie +1

Semantic image synthesis, i.e., generating images from user-provided semantic label maps, is an important conditional image generation task as it allows to control both the content…

cs.CV2023★ 1 cited

Guided Distillation for Semi-Supervised Instance Segmentation

Tariq Berrada, Camille Couprie, Karteek Alahari +1

Although instance segmentation methods have improved considerably, the dominant paradigm is to rely on fully-annotated training images, which are tedious to obtain. To alleviate th…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.