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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
1022018
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
I Hadji, RP Wildes
IEEE International Conference on Computer Vision (ICCV), 2017
262017
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
212021
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
212018
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
132021
Local-to-Global Signature Descriptor for 3D Object Recognition
I Hadji, GN DeSouza
Asian Conference on Computer Vision, 570-584, 2014
112014
What do we understand about convolutional networks? arXiv 2018
I Hadji, RP Wildes
arXiv preprint arXiv:1803.08834, 1803
51803
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
42022
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
22022
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support
I Hadji, RP Wildes
arXiv preprint arXiv:2011.14665, 2020
22020
Clustering algorithms used in 3D scene segmentation
I Hadji, D Nabelek
2
Depth Image Dimension Reduction Using Deep Belief Networks
I Hadji, A Jain
1
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
2022
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
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
2022
Analytically Defined Spatiotemporal ConvNets for Spacetime Image Understanding
I Hadji
2019
Bridging the Gap Between Local and Global Approaches for 3D Object Recognition
I Hadji
University of Missouri-Columbia, 2014
2014
Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization Supplemental Material
N Dvornik, I Hadji, H Pham, D Bhatt, B Martinez, A Fazly, AD Jepson
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision Supplemental Material
H Zhao, I Hadji, N Dvornik, KG Derpanis, RP Wildes, AD Jepson
What Do We Understand About Convolutional Networks? Download PDF Open Website
I Hadji, R Wildes
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