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Isma Hadji
Isma Hadji
Verified email at cse.yorku.ca - Homepage
Title
Cited by
Cited by
Year
What do we understand about convolutional networks?
I Hadji, RP Wildes
arXiv preprint arXiv:1803.08834, 2018
1292018
Representation learning via global temporal alignment and cycle-consistency
I Hadji, KG Derpanis, AD Jepson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
412021
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
I Hadji, RP Wildes
IEEE International Conference on Computer Vision (ICCV), 2017
332017
Drop-dtw: Aligning common signal between sequences while dropping outliers
M Dvornik, I Hadji, KG Derpanis, A Garg, A Jepson
Advances in Neural Information Processing Systems 34, 13782-13793, 2021
312021
A new large scale dynamic texture dataset with application to convnet understanding
I Hadji, RP Wildes
Proceedings of the European Conference on Computer Vision (ECCV), 320-335, 2018
302018
P3iv: Probabilistic procedure planning from instructional videos with weak supervision
H Zhao, I Hadji, N Dvornik, KG Derpanis, RP Wildes, AD Jepson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
212022
Local-to-Global Signature Descriptor for 3D Object Recognition
I Hadji, GN DeSouza
Asian Conference on Computer Vision, 570-584, 2014
132014
What do we understand about convolutional networks? arXiv 2018
I Hadji, RP Wildes
arXiv preprint arXiv:1803.08834, 1803
71803
Prediction of diffusional conductance in extracted pore network models using convolutional neural networks
N Misaghian, M Agnaou, MA Sadeghi, H Fathiannasab, I Hadji, E Roberts, ...
Computers & Geosciences 162, 105086, 2022
52022
Flow graph to video grounding for weakly-supervised multi-step localization
N Dvornik, I Hadji, H Pham, D Bhatt, B Martinez, A Fazly, AD Jepson
European Conference on Computer Vision, 319-335, 2022
42022
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support
I Hadji, RP Wildes
arXiv preprint arXiv:2011.14665, 2020
32020
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos
N Dvornik, I Hadji, R Zhang, KG Derpanis, RP Wildes, AD Jepson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
22023
Clustering algorithms used in 3D scene segmentation
I Hadji, D Nabelek
2
Graph2Vid: Flow graph to Video Grounding forWeakly-supervised Multi-Step Localization
N Dvornik, I Hadji, H Pham, D Bhatt, B Martinez, A Fazly, AD Jepson
arXiv preprint arXiv:2210.04996, 2022
12022
Depth Image Dimension Reduction Using Deep Belief Networks
I Hadji, A Jain
1
GePSAn: Generative Procedure Step Anticipation in Cooking Videos
M Ashraf Abdelsalam, SB Rangrej, I Hadji, N Dvornik, KG Derpanis, ...
arXiv e-prints, arXiv: 2310.08312, 2023
2023
Grounding flow graphs in signals
M Dvornik, I Hadji, AD Jepson
US Patent App. 18/103,101, 2023
2023
Probabilistic procedure planning for instructional videos
H Zhao, MA Dvornik, I Hadji, R Wildes, K Derpanis, AD Jepson
US Patent App. 17/984,685, 2023
2023
GePSAn: Generative Procedure Step Anticipation in Cooking Videos
MA Abdelsalam, SB Rangrej, I Hadji, N Dvornik, KG Derpanis, A Fazly
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2023
Method and system for learning to temporal align signals with interspersed outliers
I Hadji, MA Dvornik, K Derpanis, AD Jepson
US Patent App. 17/563,813, 2022
2022
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