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Christopher Schroers

22 papers hereh-index 161.7k citations54 works total

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

author position
  • middle author6
  • last author16

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV18
  • eess.IV4
same name
  • Christopher Schroers — 3 papers, h 2
  • Christopher Schroers — 1 paper, h 5
  • Christopher Schroers — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedNormalized Cut Loss for Weakly-supervised CNN Segmentation

53 citations · 125 across the 19 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

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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