Ehsan Elhamifar

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 30

Top Topics

Subset Selection

Convex Optimization

Top Venues

Publications

Yuhan Shen, Linjie Yang, Longyin Wen, Haichao Yu, Ehsan Elhamifar, Heng Wang
Exploring the Role of Audio in Video Captioning. CoRR (2023)
Zijia Lu, Ehsan Elhamifar
BIT: Bi-Level Temporal Modeling for Efficient Supervised Action Segmentation. CoRR (2023)
Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CVPR (2022)
Zijia Lu, Ehsan Elhamifar
Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency. CVPR (2022)
Yuhan Shen, Ehsan Elhamifar
Semi-Weakly-Supervised Learning of Complex Actions from Instructional Task Videos. CVPR (2022)
Hassan Mahmood, Ehsan Elhamifar
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency. CoRR (2022)
Nasim Shafiee, Ehsan Elhamifar
Zero-Shot Attribute Attacks on Fine-Grained Recognition Models. ECCV (5) (2022)
Dat Huynh, Ehsan Elhamifar
Compositional Fine-Grained Low-Shot Learning. CoRR (2021)
Sabbir Ahmad, Magy Seif El-Nasr, Ehsan Elhamifar
Hierarchical Dual Attention-Based Recurrent Neural Networks for Individual and Group Activity Recognition in Games. AIIDE (2021)
Zijia Lu, Ehsan Elhamifar
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning. ICCV (2021)
Yuhan Shen, Lu Wang, Ehsan Elhamifar
Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment. CVPR (2021)
Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CoRR (2021)
Nasim Shafiee, Taskin Padir, Ehsan Elhamifar
Introvert: Human Trajectory Prediction via Conditional 3D Attention. CVPR (2021)
Dat Huynh, Ehsan Elhamifar
Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations. ICCV (2021)
Dat Huynh, Ehsan Elhamifar
Interactive Multi-Label CNN Learning With Partial Labels. CVPR (2020)
Dat Huynh, Ehsan Elhamifar
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning. CVPR (2020)
Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling. CoRR (2020)
Dat Huynh, Ehsan Elhamifar
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition. NeurIPS (2020)
Ehsan Elhamifar, Dat Huynh
Self-supervised Multi-task Procedure Learning from Instructional Videos. ECCV (17) (2020)
Dat Huynh, Ehsan Elhamifar
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention. CVPR (2020)
Ehsan Elhamifar, Zwe Naing
Procedure Completion by Learning from Partial Summaries. BMVC (2020)
Ehsan Elhamifar, Zwe Naing
Unsupervised Procedure Learning via Joint Dynamic Summarization. ICCV (2019)
Ehsan Elhamifar
Sequential Facility Location: Approximate Submodularity and Greedy Algorithm. ICML (2019)
Chengguang Xu, Ehsan Elhamifar
Deep Supervised Summarization: Algorithm and Application to Learning Instructions. NeurIPS (2019)
Yugang Wang, Ehsan Elhamifar
High Rank Matrix Completion With Side Information. AAAI (2018)
Ehsan Elhamifar, M. Clara De Paolis Kaluza
Online Summarization via Submodular and Convex Optimization. CVPR (2017)
Ehsan Elhamifar, M. Clara De Paolis Kaluza
Subset Selection and Summarization in Sequential Data. NIPS (2017)
Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry
Dissimilarity-Based Sparse Subset Selection. IEEE Trans. Pattern Anal. Mach. Intell. 38 (11) (2016)
Ehsan Elhamifar
High-Rank Matrix Completion and Clustering under Self-Expressive Models. NIPS (2016)
Ehsan Elhamifar, Shankar Sastry
Energy Disaggregation via Learning Powerlets and Sparse Coding. AAAI (2015)
Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry
Dissimilarity-based Sparse Subset Selection. CoRR (2014)
Ehsan Elhamifar, Guillermo Sapiro, Allen Y. Yang, S. Shankar Sastry
A Convex Optimization Framework for Active Learning. ICCV (2013)
Ehsan Elhamifar, René Vidal
Sparse Subspace Clustering: Algorithm, Theory, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 35 (11) (2013)
Mahdi Soltanolkotabi, Ehsan Elhamifar, Emmanuel J. Candès
Robust Subspace Clustering CoRR (2013)
Chi-Pang Lam, Allen Y. Yang, Ehsan Elhamifar, S. Shankar Sastry
Multiscale TILT Feature Detection with Application to Geometric Image Segmentation. ICCV Workshops (2013)
Ehsan Elhamifar, René Vidal
Sparse Subspace Clustering: Algorithm, Theory, and Applications CoRR (2012)
Dheeraj Singaraju, Roberto Tron, Ehsan Elhamifar, Allen Y. Yang, Shankar S. Sastry
On the Lagrangian biduality of sparsity minimization problems. ICASSP (2012)
Ehsan Elhamifar, Guillermo Sapiro, René Vidal
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery. NIPS (2012)
Dheeraj Singaraju, Ehsan Elhamifar, Roberto Tron, Allen Y. Yang, Shankar S. Sastry
On the Lagrangian Biduality of Sparsity Minimization Problems CoRR (2012)
Ehsan Elhamifar, René Vidal
Block-Sparse Recovery via Convex Optimization. IEEE Trans. Signal Process. 60 (8) (2012)
Ehsan Elhamifar, Guillermo Sapiro, René Vidal
See all by looking at a few: Sparse modeling for finding representative objects. CVPR (2012)
Lingling Tao, Ehsan Elhamifar, Sanjeev Khudanpur, Gregory D. Hager, René Vidal
Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation. IPCAI (2012)
Ehsan Elhamifar, René Vidal
Sparse Manifold Clustering and Embedding. NIPS (2011)
Ehsan Elhamifar, René Vidal
Sparsity in unions of subspaces for classification and clustering of high-dimensional data. Allerton (2011)
Ehsan Elhamifar, René Vidal
Structured Sparse Recovery via Convex Optimization CoRR (2011)
Ehsan Elhamifar, René Vidal
Robust classification using structured sparse representation. CVPR (2011)
Ehsan Elhamifar, René Vidal
Clustering disjoint subspaces via sparse representation. ICASSP (2010)
Jixin Li, Ehsan Elhamifar, I-Jeng Wang, René Vidal
Consensus with robustness to outliers via distributed optimization. CDC (2010)
Ehsan Elhamifar, Mihály Petreczky, René Vidal
Rank tests for the observability of discrete-time jump linear systems with inputs. ACC (2009)
Ehsan Elhamifar, René Vidal
Sparse subspace clustering. CVPR (2009)
Ehsan Elhamifar, René Vidal
Distributed calibration of Camera Sensor Networks. ICDSC (2009)
Nasser Sadati, Ehsan Elhamifar
Control of Multi-Agent Systems Based on Redundant Manipulator Global Optimization Techniques. SMC (2006)
Nasser Sadati, Ehsan Elhamifar
Application of Neural Networks to Decentralized Control of Robotic Manipulators with High Degree of Freedom. ICTAI (2005)