Isma Hadji

According to our database1, Isma Hadji authored at least 17 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation.
CoRR, 2024

Graph Guided Question Answer Generation for Procedural Question-Answering.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos.
CoRR, 2023

GePSAn: Generative Procedure Step Anticipation in Cooking Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Prediction of diffusional conductance in extracted pore network models using convolutional neural networks.
Comput. Geosci., 2022

Graph2Vid: Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization.
CoRR, 2022

P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision.
CoRR, 2022

Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization.
Proceedings of the Computer Vision - ECCV 2022, 2022

P<sup>3</sup>IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Representation Learning via Global Temporal Alignment and Cycle-Consistency.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support.
CoRR, 2020

2018
What Do We Understand About Convolutional Networks?
CoRR, 2018

A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2014
Local-to-Global Signature Descriptor for 3D Object Recognition.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014


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