Ehsan Elhamifar

According to our database, Ehsan Elhamifar authored at least 49 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

BIT: Bi-Level Temporal Modeling for Efficient Supervised Action Segmentation.

Zijia Lu, Ehsan Elhamifar

CoRR, 2023

Exploring the Role of Audio in Video Captioning.

Yuhan Shen, Linjie Yang, Longyin Wen, Haichao Yu, Ehsan Elhamifar, Heng Wang

CoRR, 2023

2022

Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency.

Hassan Mahmood, Ehsan Elhamifar

CoRR, 2022

Zero-Shot Attribute Attacks on Fine-Grained Recognition Models.

Nasim Shafiee, Ehsan Elhamifar

Proceedings of the Computer Vision - ECCV 2022, 2022

Semi-Weakly-Supervised Learning of Complex Actions from Instructional Task Videos.

Yuhan Shen, Ehsan Elhamifar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency.

Zijia Lu, Ehsan Elhamifar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling.

Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Compositional Fine-Grained Low-Shot Learning.

Dat Huynh, Ehsan Elhamifar

CoRR, 2021

Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning.

Zijia Lu, Ehsan Elhamifar

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations.

Dat Huynh, Ehsan Elhamifar

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment.

Yuhan Shen, Lu Wang, Ehsan Elhamifar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Introvert: Human Trajectory Prediction via Conditional 3D Attention.

Nasim Shafiee, Taskin Padir, Ehsan Elhamifar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Hierarchical Dual Attention-Based Recurrent Neural Networks for Individual and Group Activity Recognition in Games.

Sabbir Ahmad, Magy Seif El-Nasr, Ehsan Elhamifar

Proceedings of the Seventeenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2021

2020

Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling.

Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek

CoRR, 2020

Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition.

Dat Huynh, Ehsan Elhamifar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-supervised Multi-task Procedure Learning from Instructional Videos.

Ehsan Elhamifar, Dat Huynh

Proceedings of the Computer Vision - ECCV 2020, 2020

Interactive Multi-Label CNN Learning With Partial Labels.

Dat Huynh, Ehsan Elhamifar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning.

Dat Huynh, Ehsan Elhamifar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention.

Dat Huynh, Ehsan Elhamifar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Procedure Completion by Learning from Partial Summaries.

Ehsan Elhamifar, Zwe Naing

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Deep Supervised Summarization: Algorithm and Application to Learning Instructions.

Chengguang Xu, Ehsan Elhamifar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sequential Facility Location: Approximate Submodularity and Greedy Algorithm.

Ehsan Elhamifar

Proceedings of the 36th International Conference on Machine Learning, 2019

Unsupervised Procedure Learning via Joint Dynamic Summarization.

Ehsan Elhamifar, Zwe Naing

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

High Rank Matrix Completion With Side Information.

Yugang Wang, Ehsan Elhamifar

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Subset Selection and Summarization in Sequential Data.

Ehsan Elhamifar, M. Clara De Paolis Kaluza

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Online Summarization via Submodular and Convex Optimization.

Ehsan Elhamifar, M. Clara De Paolis Kaluza

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Dissimilarity-Based Sparse Subset Selection.

Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry

IEEE Trans. Pattern Anal. Mach. Intell., 2016

High-Rank Matrix Completion and Clustering under Self-Expressive Models.

Ehsan Elhamifar

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Energy Disaggregation via Learning Powerlets and Sparse Coding.

Ehsan Elhamifar, Shankar Sastry

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Sparse Subspace Clustering: Algorithm, Theory, and Applications.

Ehsan Elhamifar, René Vidal

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Robust Subspace Clustering

Mahdi Soltanolkotabi, Ehsan Elhamifar, Emmanuel J. Candès

CoRR, 2013

Multiscale TILT Feature Detection with Application to Geometric Image Segmentation.

Chi-Pang Lam, Allen Y. Yang, Ehsan Elhamifar, S. Shankar Sastry

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

A Convex Optimization Framework for Active Learning.

Ehsan Elhamifar, Guillermo Sapiro, Allen Y. Yang, S. Shankar Sastry

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Block-Sparse Recovery via Convex Optimization.

Ehsan Elhamifar, René Vidal

IEEE Trans. Signal Process., 2012

Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery.

Ehsan Elhamifar, Guillermo Sapiro, René Vidal

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation.

Lingling Tao, Ehsan Elhamifar, Sanjeev Khudanpur, Gregory D. Hager, René Vidal

Proceedings of the Information Processing in Computer-Assisted Interventions, 2012

On the Lagrangian biduality of sparsity minimization problems.

Dheeraj Singaraju, Roberto Tron, Ehsan Elhamifar, Allen Y. Yang, Shankar S. Sastry

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

See all by looking at a few: Sparse modeling for finding representative objects.

Ehsan Elhamifar, Guillermo Sapiro, René Vidal

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Structured Sparse Recovery via Convex Optimization

Ehsan Elhamifar, René Vidal

CoRR, 2011

Sparse Manifold Clustering and Embedding.

Ehsan Elhamifar, René Vidal

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Robust classification using structured sparse representation.

Ehsan Elhamifar, René Vidal

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Sparsity in unions of subspaces for classification and clustering of high-dimensional data.

Ehsan Elhamifar, René Vidal

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Clustering disjoint subspaces via sparse representation.

Ehsan Elhamifar, René Vidal

Proceedings of the IEEE International Conference on Acoustics, 2010

Consensus with robustness to outliers via distributed optimization.

Jixin Li, Ehsan Elhamifar, I-Jeng Wang, René Vidal

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Distributed calibration of Camera Sensor Networks.

Ehsan Elhamifar, René Vidal

Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

Sparse subspace clustering.

Ehsan Elhamifar, René Vidal

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Rank tests for the observability of discrete-time jump linear systems with inputs.

Ehsan Elhamifar, Mihály Petreczky, René Vidal

Proceedings of the American Control Conference, 2009

2006

Control of Multi-Agent Systems Based on Redundant Manipulator Global Optimization Techniques.

Nasser Sadati, Ehsan Elhamifar

Proceedings of the IEEE International Conference on Systems, 2006

2005

Application of Neural Networks to Decentralized Control of Robotic Manipulators with High Degree of Freedom.

Nasser Sadati, Ehsan Elhamifar

Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005