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Y. Su and E. Elhamifar
Two-Stage Active Learning for Efficient Temporal Action Segmentation
European Conference on Computer Vision (ECCV), 2024.
Supplementary Materials
S. Lee, Z. Lu, Z. Zhang, M. Hoai and E. Elhamifar
Error Detection in Egocentric Procedural Task Videos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Supplementary Materials
Y. Shen and E. Elhamifar
Progress-Aware Online Action Segmentation for Egocentric Procedural Task Videos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Supplementary Materials
Z. Lu and E. Elhamifar
FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Supplementary Materials
G. Donahue and E. Elhamifar
Learning to Predict Activity Progress by Self-Supervised Video Alignment
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Supplementary Materials
Y. Shen, H. Wang, X. Yang, M. Feiszli, E. Elhamifar, L. Torresani and E. Mavroudi
Learning to Segment Referred Objects from Narrated Egocentric Videos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Supplementary Materials
H. Mahmood and E. Elhamifar
Semantic-Aware Multi-Label Adversarial Attacks
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Supplementary Materials
N. Shafiee and E. Elhamifar
Zero-Shot Attribute Attacks on Fine-Grained Recognition Models
European Conference on Computer Vision (ECCV), 2022.
Supplementary Materials
Y. Shen and E. Elhamifar
Semi-Weakly-Supervised Learning of Complex Actions from Instructional Task Videos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Supplementary Materials
Z. Lu and E. Elhamifar
Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Supplementary Materials
D. Huynh, J. Kuen, Z. Lin, J. Gu and E. Elhamifar
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Supplementary Materials
H. Mahmood and E. Elhamifar
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency
under review, 2022.
D. Huynh and E. Elhamifar
Compositional Fine-Grained Low-Shot Learning
under review at IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
Z. Lu and E. Elhamifar
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning
International Conference on Computer Vision (ICCV), 2021.
Supplementary Materials
D. Huynh and E. Elhamifar
Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations
International Conference on Computer Vision (ICCV), 2021.
Supplementary Materials
Y. Shen, L. Wang and E. Elhamifar
Learning to Segment Actions from Visual and Language Instructions via Differentiable Weak Sequence Alignment
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Supplementary Materials
N. Shafiee, T. Padir and E. Elhamifar
Introvert: Human Trajectory Prediction via Conditional 3D Attention
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Supplementary Materials
Z. Lu and E. Elhamifar
Action Segmentation via Transcript-Aware Union-of-Subspaces Learning
IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2021
Workshop on Learning From Unlabeled Videos.
S. Ahmad, M. Seif El-Nasr and E. Elhamifar
Hierarchical Dual Attention-Based Recurrent Neural Networks for Individual and Group Activity Recognition in Games
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2021.
D. Huynh and E. Elhamifar
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
Neural Information Processing Systems (NeurIPS), 2020.
Z. Naing and E. Elhamifar
Procedure Completion by Learning from Partial Summaries
British Machine Vision Conference (BMVC), 2020.
E. Elhamifar and D. Huynh
Self-Supervised Multi-Task Procedure Learning from Instructional Videos
European Conference on Computer Vision (ECCV), 2020.
D. Huynh and E. Elhamifar
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Supplementary Materials
D. Huynh and E. Elhamifar
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Supplementary Materials
D. Huynh and E. Elhamifar
Interactive Multi-Label CNN Learning with Partial Labels
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Supplementary Materials
S. Jafar-Zanjani, M. Salary, D. Huynh, E. Elhamifar and H. Mosallaei
TCO‐Based Active Dielectric Metasurfaces Design by Conditional Generative Adversarial Networks
Advanced Theory and Simulations Journal, 2020.
S. Jafar-Zanjani, M. Salary, D. Huynh, E. Elhamifar and H. Mosallaei
Active Metasurfaces Design by Conditional Generative Adversarial Networks
International Conference on Metamaterials, Photonic Crystals and Plasmonics (META), 2020.
C. Xu and E. Elhamifar
Deep Supervised Summarization: Algorithm and Application to Learning Instructions
Neural Information Processing Systems (NeurIPS), 2019.
Supplementary Materials
E. Elhamifar and Z. Naing
Unsupervised Procedure Learning via Joint Dynamic Summarization
International Conference on Computer Vision (ICCV), 2019.
Supplementary Materials
E. Elhamifar
Sequential Facility Location: Approximate Submodularity and Greedy Algorithm
International Conference on Machine Learning (ICML), 2019.
D. Huynh and E. Elhamifar
Seeing Many Unseen Labels via Shared Multi-Attention Models
International Conference on Computer Vision Workshop (ICCVW), 2019
Workshop on Multi-Discipline Approach for Learning Concepts - Zero-Shot, One-Shot, Few-Shot and Beyond.
Y. Wang and E. Elhamifar
High-Rank Matrix Completion with Side Information
AAAI Conference on Artificial Intelligence (AAAI), 2018.
E. Elhamifar and M. C. De Paolis Kaluza
Data Summarization for Instructional Video Understanding
IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2018
Workshop on Fine-Grained Instructional Video Understanding.
E. Elhamifar and M. C. De Paolis Kaluza
Subset Selection and Summarization in Sequential Data
Neural Information Processing Systems (NeurIPS), 2017.
E. Elhamifar and M. C. De Paolis Kaluza
Online Summarization via Submodular and Convex Optimization
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
E. Elhamifar
High-Rank Matrix Completion and Clustering under Self-Expressive Models
Neural Information Processing Systems (NeurIPS), 2016.
E. Elhamifar, G. Sapiro, and S. Sastry
Dissimilarity-based Sparse Subset Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
E. Elhamifar and S. Sastry
Energy Disaggregation via Learning ‘Powerlets’ and Sparse Coding
AAAI Conference on Artificial Intelligence (AAAI), 2015.
M. Soltanolkotabi, E. Elhamifar, and E. J. Candès
Robust Subspace Clustering
Annals of Statistics, 2014.
E. Elhamifar, S. Burden, and S. Sastry
Adaptive Piecewise-Affine Inverse Modeling of Hybrid Dynamical Systems
World Congress of the International Federation of Automatic Control (IFAC), 2014.
E. Elhamifar and R. Vidal
Sparse Subspace Clustering: Algorithm, Theory, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013.
E. Elhamifar, G. Sapiro, A. Yang , and S. Sastry
A Convex Optimization Framework for Active Learning
International Conference on Computer Vision (ICCV), 2013.
C. P. Lam, A. Yang, E. Elhamifar, and S. Sastry
Multiscale TILT Feature Detection with Application to Geometric Image Segmentation
ICCV Workshop on 3D Representation and Recognition (3dRR-ICCV), 2013.
E. Elhamifar and R. Vidal
Block-Sparse Recovery via Convex Optimization
IEEE Transactions on Signal Processing (TSP), 2012. E. Elhamifar, G. Sapiro, and R. Vidal
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery
Neural Information Processing Systems (NeurIPS), 2012.
E. Elhamifar, G. Sapiro, and R. Vidal
See All by Looking at A Few: Sparse Modeling for Finding Representative Objects
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
L. Tao, E. Elhamifar, S. Khudanpur, G. Hager, and R. Vidal
Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation
Information Processing in Computer Assisted Interventions (IPCAI), 2012.
D. Singaraju, R. Tron, E. Elhamifar, A. Yang, and S. Sastry
On the Lagrangian Biduality of Sparsity Minimization Problems
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012.
E. Elhamifar and R. Vidal
Sparse Manifold Clustering and Embedding
Neural Information Processing Systems (NeurIPS), 2011.
E. Elhamifar and R. Vidal
Sparsity in Unions of Subspaces for Classification and Clustering of High-Dimensional Data
Allerton Conference on Communication, Control, and Computing (Allerton), 2011.
E. Elhamifar and R. Vidal
Robust Classification using Structured Sparse Representation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
J. Li, E. Elhamifar, I-J Wang, and R. Vidal
Consensus with Robustness to Outliers via Distributed Optimization
IEEE International Conference on Decision and Control (CDC), 2010.
E. Elhamifar and R. Vidal
Clustering Disjoint Subspaces via Sparse Representation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010.
E. Elhamifar and R. Vidal
Distributed Calibration of Camera Sensor Networks
ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), 2009.
E. Elhamifar and R. Vidal
Sparse Subspace Clustering
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
E. Elhamifar, M. Petreczky, and R. Vidal
Rank Tests for the Observability of Discrete-time JLSs with Inputs
American Control Conference (ACC), 2009.
N. Sadati and E. Elhamifar
Semi-Decentralized Control of Multi-Agent Systems based on Redundant Manipulator Optimization Methods
IEEE International Workshop on Advanced Motion Control (AMC), 2006.
N. Sadati and E. Elhamifar
Application of Neural Networks to Decentralized Control of Robot Manipulators with High Degree of Freedom
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2005.
Theses
Technical Reports
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