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ORCIDEhsan Elhamifar
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2020 – today
- 2024
[c46]Yuhan Shen, Linjie Yang, Longyin Wen, Haichao Yu, Ehsan Elhamifar, Heng Wang:
Exploring the Role of Audio in Video Captioning. CVPR Workshops 2024: 2090-2100- [c45]Yuhan Shen, Huiyu Wang, Xitong Yang, Matt Feiszli, Ehsan Elhamifar, Lorenzo Torresani, Effrosyni Mavroudi:
Learning to Segment Referred Objects from Narrated Egocentric Videos. CVPR 2024: 14510-14520 - [c44]Zijia Lu, Ehsan Elhamifar:
FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation. CVPR 2024: 18175-18185 - [c43]Yuhan Shen, Ehsan Elhamifar:
Progress-Aware Online Action Segmentation for Egocentric Procedural Task Videos. CVPR 2024: 18186-18197 - [c42]Shih-Po Lee, Zijia Lu, Zekun Zhang, Minh Hoai, Ehsan Elhamifar:
Error Detection in Egocentric Procedural Task Videos. CVPR 2024: 18655-18666 - [c41]Gerard Donahue, Ehsan Elhamifar:
Learning to Predict Activity Progress by Self-Supervised Video Alignment. CVPR 2024: 18667-18677 - [c40]Hassan Mahmood, Ehsan Elhamifar:
Semantic-Aware Multi-Label Adversarial Attacks. CVPR 2024: 24251-24262 - 2023
- [i11]Yuhan Shen, Linjie Yang, Longyin Wen, Haichao Yu, Ehsan Elhamifar, Heng Wang:
Exploring the Role of Audio in Video Captioning. CoRR abs/2306.12559 (2023) - [i10]Zijia Lu, Ehsan Elhamifar:
BIT: Bi-Level Temporal Modeling for Efficient Supervised Action Segmentation. CoRR abs/2308.14900 (2023) - 2022
- [c39]Yuhan Shen
, Ehsan Elhamifar:
Semi-Weakly-Supervised Learning of Complex Actions from Instructional Task Videos. CVPR 2022: 3334-3344 - [c38]Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar:
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CVPR 2022: 7010-7021 - [c37]Zijia Lu, Ehsan Elhamifar:
Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency. CVPR 2022: 19871-19881 - [c36]Nasim Shafiee, Ehsan Elhamifar:
Zero-Shot Attribute Attacks on Fine-Grained Recognition Models. ECCV (5) 2022: 262-282 - [i9]Hassan Mahmood, Ehsan Elhamifar:
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency. CoRR abs/2207.05137 (2022) - 2021
- [c35]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: 116-123 - [c34]Yuhan Shen, Lu Wang, Ehsan Elhamifar:
Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment. CVPR 2021: 10156-10165 - [c33]Nasim Shafiee, Taskin Padir, Ehsan Elhamifar:
Introvert: Human Trajectory Prediction via Conditional 3D Attention. CVPR 2021: 16815-16825 - [c32]Zijia Lu, Ehsan Elhamifar:
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning. ICCV 2021: 8065-8075 - [c31]Dat Huynh, Ehsan Elhamifar:
Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations. ICCV 2021: 8452-8463 - [i8]Dat Huynh, Ehsan Elhamifar:
Compositional Fine-Grained Low-Shot Learning. CoRR abs/2105.10438 (2021) - [i7]Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar:
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CoRR abs/2111.12698 (2021) - 2020
- [c30]Ehsan Elhamifar, Zwe Naing:
Procedure Completion by Learning from Partial Summaries. BMVC 2020 - [c29]Dat Huynh, Ehsan Elhamifar:
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention. CVPR 2020: 4482-4492 - [c28]Dat Huynh, Ehsan Elhamifar:
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning. CVPR 2020: 8773-8783 - [c27]Dat Huynh, Ehsan Elhamifar:
Interactive Multi-Label CNN Learning With Partial Labels. CVPR 2020: 9420-9429 - [c26]Ehsan Elhamifar, Dat Huynh:
Self-supervised Multi-task Procedure Learning from Instructional Videos. ECCV (17) 2020: 557-573 - [c25]Dat Huynh, Ehsan Elhamifar:
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition. NeurIPS 2020 - [i6]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 abs/2002.09927 (2020)
2010 – 2019
- 2019
- [c24]Ehsan Elhamifar, Zwe Naing:
Unsupervised Procedure Learning via Joint Dynamic Summarization. ICCV 2019: 6340-6349 - [c23]Ehsan Elhamifar:
Sequential Facility Location: Approximate Submodularity and Greedy Algorithm. ICML 2019: 1784-1793 - [c22]Chengguang Xu, Ehsan Elhamifar:
Deep Supervised Summarization: Algorithm and Application to Learning Instructions. NeurIPS 2019: 1107-1118 - 2018
- [c21]Yugang Wang, Ehsan Elhamifar:
High Rank Matrix Completion With Side Information. AAAI 2018: 4252-4259 - 2017
- [c20]Ehsan Elhamifar, M. Clara De Paolis Kaluza:
Online Summarization via Submodular and Convex Optimization. CVPR 2017: 1818-1826 - [c19]Ehsan Elhamifar, M. Clara De Paolis Kaluza:
Subset Selection and Summarization in Sequential Data. NIPS 2017: 1035-1045 - 2016
- [j3]Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry:
Dissimilarity-Based Sparse Subset Selection. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2182-2197 (2016) - [c18]Ehsan Elhamifar:
High-Rank Matrix Completion and Clustering under Self-Expressive Models. NIPS 2016: 73-81 - 2015
- [c17]Ehsan Elhamifar, Shankar Sastry:
Energy Disaggregation via Learning Powerlets and Sparse Coding. AAAI 2015: 629-635 - 2014
- [i5]Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry:
Dissimilarity-based Sparse Subset Selection. CoRR abs/1407.6810 (2014) - 2013
- [j2]Ehsan Elhamifar, René Vidal:
Sparse Subspace Clustering: Algorithm, Theory, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2765-2781 (2013) - [c16]Ehsan Elhamifar, Guillermo Sapiro, Allen Y. Yang, S. Shankar Sastry:
A Convex Optimization Framework for Active Learning. ICCV 2013: 209-216 - [c15]Chi-Pang Lam, Allen Y. Yang, Ehsan Elhamifar, S. Shankar Sastry:
Multiscale TILT Feature Detection with Application to Geometric Image Segmentation. ICCV Workshops 2013: 570-577 - [i4]Mahdi Soltanolkotabi, Ehsan Elhamifar, Emmanuel J. Candès:
Robust Subspace Clustering. CoRR abs/1301.2603 (2013) - 2012
- [j1]Ehsan Elhamifar, René Vidal:
Block-Sparse Recovery via Convex Optimization. IEEE Trans. Signal Process. 60(8): 4094-4107 (2012) - [c14]Ehsan Elhamifar, Guillermo Sapiro, René Vidal:
See all by looking at a few: Sparse modeling for finding representative objects. CVPR 2012: 1600-1607 - [c13]Dheeraj Singaraju, Roberto Tron, Ehsan Elhamifar, Allen Y. Yang, Shankar S. Sastry:
On the Lagrangian biduality of sparsity minimization problems. ICASSP 2012: 3429-3432 - [c12]Lingling Tao, Ehsan Elhamifar, Sanjeev Khudanpur, Gregory D. Hager, René Vidal:
Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation. IPCAI 2012: 167-177 - [c11]Ehsan Elhamifar, Guillermo Sapiro, René Vidal:
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery. NIPS 2012: 19-27 - [i3]Dheeraj Singaraju, Ehsan Elhamifar, Roberto Tron, Allen Y. Yang, S. Shankar Sastry:
On the Lagrangian Biduality of Sparsity Minimization Problems. CoRR abs/1201.3674 (2012) - [i2]Ehsan Elhamifar, René Vidal:
Sparse Subspace Clustering: Algorithm, Theory, and Applications. CoRR abs/1203.1005 (2012) - 2011
- [c10]Ehsan Elhamifar, René Vidal:
Sparsity in unions of subspaces for classification and clustering of high-dimensional data. Allerton 2011: 1085-1089 - [c9]Ehsan Elhamifar, René Vidal:
Robust classification using structured sparse representation. CVPR 2011: 1873-1879 - [c8]Ehsan Elhamifar, René Vidal:
Sparse Manifold Clustering and Embedding. NIPS 2011: 55-63 - [i1]Ehsan Elhamifar, René Vidal:
Structured Sparse Recovery via Convex Optimization. CoRR abs/1104.0654 (2011) - 2010
- [c7]Jixin Li, Ehsan Elhamifar, I-Jeng Wang, René Vidal:
Consensus with robustness to outliers via distributed optimization. CDC 2010: 2111-2117 - [c6]Ehsan Elhamifar, René Vidal:
Clustering disjoint subspaces via sparse representation. ICASSP 2010: 1926-1929
2000 – 2009
- 2009
- [c5]Ehsan Elhamifar, Mihály Petreczky, René Vidal:
Rank tests for the observability of discrete-time jump linear systems with inputs. ACC 2009: 3025-3032 - [c4]Ehsan Elhamifar, René Vidal:
Sparse subspace clustering. CVPR 2009: 2790-2797 - [c3]Ehsan Elhamifar, René Vidal:
Distributed calibration of Camera Sensor Networks. ICDSC 2009: 1-7 - 2006
- [c2]Nasser Sadati, Ehsan Elhamifar:
Control of Multi-Agent Systems Based on Redundant Manipulator Global Optimization Techniques. SMC 2006: 2499-2504 - 2005
- [c1]Nasser Sadati, Ehsan Elhamifar:
Application of Neural Networks to Decentralized Control of Robotic Manipulators with High Degree of Freedom. ICTAI 2005: 484-488
Coauthor Index
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last updated on 2024-10-11 18:18 CEST by the dblp team
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