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ORCIDNima Sedaghat
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2010 – 2019
- 2019
[b1]Nima Sedaghat Alvar:
A quest for label independence: from unsupervised annotation to self-supervised domain adaptation. University of Freiburg, Freiburg im Breisgau, Germany, 2019- 2017
- [c4]Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri, Thomas Brox:
Orientation-boosted Voxel Nets for 3D Object Recognition. BMVC 2017 - [c3]Mohammadreza Zolfaghari
, Gabriel L. Oliveira, Nima Sedaghat, Thomas Brox:
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection. ICCV 2017: 2923-2932 - [i4]Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat, Thomas Brox:
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection. CoRR abs/1704.00616 (2017) - [i3]Nima Sedaghat, Ashish Mahabal:
Effective Image Differencing with ConvNets for Real-time Transient Hunting. CoRR abs/1710.01422 (2017) - 2016
- [i2]Nima Sedaghat, Mohammadreza Zolfaghari, Thomas Brox:
Orientation-boosted Voxel Nets for 3D Object Recognition. CoRR abs/1604.03351 (2016) - [i1]Nima Sedaghat:
Next-Flow: Hybrid Multi-Tasking with Next-Frame Prediction to Boost Optical-Flow Estimation in the Wild. CoRR abs/1612.03777 (2016) - 2015
- [c2]Nima Sedaghat, Thomas Brox:
Unsupervised Generation of a View Point Annotated Car Dataset from Videos. ICCV 2015: 1314-1322 - 2012
- [c1]Nima Razavi, Nima Sedaghat Alvar, Juergen Gall, Luc Van Gool:
Sparsity Potentials for Detecting Objects with the Hough Transform. BMVC 2012: 1-10
Coauthor Index
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