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Abdelaziz Djelouah

10 papers hereh-index 141.6k citations40 works total

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

author position
  • middle author10

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • eess.IV2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedNormalized Cut Loss for Weakly-supervised CNN Segmentation

53 citations · 120 across the 8 of their papers we have counts for

collaborators
Showing 2018 · cs.CVShow all

4 papers · 2 filters

cs.CV2018

Deep Video Color Propagation

Simone Meyer, Victor Cornillère, Abdelaziz Djelouah +2

Traditional approaches for color propagation in videos rely on some form of matching between consecutive video frames. Using appearance descriptors, colors are then propagated both…

cs.CV2018★ 20 cited

On Regularized Losses for Weakly-supervised CNN Segmentation

Meng Tang, Federico Perazzi, Abdelaziz Djelouah +3

Minimization of regularized losses is a principled approach to weak supervision well-established in deep learning, in general. However, it is largely overlooked in semantic segment…

cs.CV2018★ 53 cited

Normalized Cut Loss for Weakly-supervised CNN Segmentation

Meng Tang, Abdelaziz Djelouah, Federico Perazzi +2

Most recent semantic segmentation methods train deep convolutional neural networks with fully annotated masks requiring pixel-accuracy for good quality training. Common weakly-supe…

cs.CV2018

PhaseNet for Video Frame Interpolation

Simone Meyer, Abdelaziz Djelouah, Brian McWilliams +3

Most approaches for video frame interpolation require accurate dense correspondences to synthesize an in-between frame. Therefore, they do not perform well in challenging scenarios…

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