Application of Neural Networks to Decentralized Control of Robotic Manipulators with High Degree of Freedom. - Nasser Sadati; Ehsan Elhamifar (ICTAI, 2005)

Control of Multi-Agent Systems Based on Redundant Manipulator Global Optimization Techniques. - Nasser Sadati; Ehsan Elhamifar (SMC, 2006)

Rank tests for the observability of discrete-time jump linear systems with inputs. - Ehsan Elhamifar; Mihály Petreczky; René Vidal (ACC, 2009)

Sparse subspace clustering. - Ehsan Elhamifar; René Vidal (CVPR, 2009)

Distributed calibration of Camera Sensor Networks. - Ehsan Elhamifar; René Vidal (ICDSC, 2009)

Consensus with robustness to outliers via distributed optimization. - Jixin Li; Ehsan Elhamifar; I-Jeng Wang; René Vidal (CDC, 2010)

Clustering disjoint subspaces via sparse representation. - Ehsan Elhamifar; René Vidal (ICASSP, 2010)

Sparsity in unions of subspaces for classification and clustering of high-dimensional data. - Ehsan Elhamifar; René Vidal (Allerton, 2011)

Robust classification using structured sparse representation. - Ehsan Elhamifar; René Vidal (CVPR, 2011)

Sparse Manifold Clustering and Embedding. - Ehsan Elhamifar; René Vidal (NIPS, 2011)

Structured Sparse Recovery via Convex Optimization - Ehsan Elhamifar; René Vidal (CoRR, 2011)

See all by looking at a few: Sparse modeling for finding representative objects. - Ehsan Elhamifar; Guillermo Sapiro; René Vidal (CVPR, 2012)

On the Lagrangian biduality of sparsity minimization problems. - Dheeraj Singaraju; Roberto Tron; Ehsan Elhamifar; Allen Y. Yang; Shankar S. Sastry (ICASSP, 2012)

Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation. - Lingling Tao; Ehsan Elhamifar; Sanjeev Khudanpur; Gregory D. Hager; René Vidal (IPCAI, 2012)

Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery. - Ehsan Elhamifar; Guillermo Sapiro; René Vidal (NIPS, 2012)

Block-Sparse Recovery via Convex Optimization. - Ehsan Elhamifar; René Vidal (IEEE Trans. Signal Process., 2012)

A Convex Optimization Framework for Active Learning. - Ehsan Elhamifar; Guillermo Sapiro; Allen Y. Yang; S. Shankar Sastry (ICCV, 2013)

Multiscale TILT Feature Detection with Application to Geometric Image Segmentation. - Chi-Pang Lam; Allen Y. Yang; Ehsan Elhamifar; S. Shankar Sastry (ICCV Workshops, 2013)

Robust Subspace Clustering - Mahdi Soltanolkotabi; Ehsan Elhamifar; Emmanuel J. Candès (CoRR, 2013)

Sparse Subspace Clustering: Algorithm, Theory, and Applications. - Ehsan Elhamifar; René Vidal (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Energy Disaggregation via Learning Powerlets and Sparse Coding. - Ehsan Elhamifar; Shankar Sastry 001 (AAAI, 2015)

High-Rank Matrix Completion and Clustering under Self-Expressive Models. - Ehsan Elhamifar (NIPS, 2016)

Dissimilarity-Based Sparse Subset Selection. - Ehsan Elhamifar; Guillermo Sapiro; S. Shankar Sastry (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Online Summarization via Submodular and Convex Optimization. - Ehsan Elhamifar; M. Clara De Paolis Kaluza (CVPR, 2017)

Subset Selection and Summarization in Sequential Data. - Ehsan Elhamifar; M. Clara De Paolis Kaluza (NIPS, 2017)

High Rank Matrix Completion With Side Information. - Yugang Wang; Ehsan Elhamifar (AAAI, 2018)

Unsupervised Procedure Learning via Joint Dynamic Summarization. - Ehsan Elhamifar; Zwe Naing (ICCV, 2019)

Sequential Facility Location: Approximate Submodularity and Greedy Algorithm. - Ehsan Elhamifar (ICML, 2019)

Deep Supervised Summarization: Algorithm and Application to Learning Instructions. - Chengguang Xu; Ehsan Elhamifar (NeurIPS, 2019)

Procedure Completion by Learning from Partial Summaries. - Ehsan Elhamifar; Zwe Naing (BMVC, 2020)

Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention. - Dat Huynh; Ehsan Elhamifar (CVPR, 2020)

A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning. - Dat Huynh; Ehsan Elhamifar (CVPR, 2020)

Interactive Multi-Label CNN Learning With Partial Labels. - Dat Huynh; Ehsan Elhamifar (CVPR, 2020)

Self-supervised Multi-task Procedure Learning from Instructional Videos. - Ehsan Elhamifar; Dat Huynh (ECCV (17), 2020)

Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition. - Dat Huynh; Ehsan Elhamifar (NeurIPS, 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)

Hierarchical Dual Attention-Based Recurrent Neural Networks for Individual and Group Activity Recognition in Games. - Sabbir Ahmad; Magy Seif El-Nasr; Ehsan Elhamifar (AIIDE, 2021)

Introvert: Human Trajectory Prediction via Conditional 3D Attention. - Nasim Shafiee; Taskin Padir; Ehsan Elhamifar (CVPR, 2021)

Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment. - Yuhan Shen; Lu Wang 008; Ehsan Elhamifar (CVPR, 2021)

Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations. - Dat Huynh; Ehsan Elhamifar (ICCV, 2021)

Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning. - Zijia Lu; Ehsan Elhamifar (ICCV, 2021)

Compositional Fine-Grained Low-Shot Learning. - Dat Huynh; Ehsan Elhamifar (CoRR, 2021)

Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. - Dat Huynh; Jason Kuen; Zhe Lin 001; Jiuxiang Gu; Ehsan Elhamifar (CVPR, 2022)

Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency. - Zijia Lu; Ehsan Elhamifar (CVPR, 2022)

Semi-Weakly-Supervised Learning of Complex Actions from Instructional Task Videos. - Yuhan Shen; Ehsan Elhamifar (CVPR, 2022)

Zero-Shot Attribute Attacks on Fine-Grained Recognition Models. - Nasim Shafiee; Ehsan Elhamifar (ECCV (5), 2022)

Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency. - Hassan Mahmood; Ehsan Elhamifar (CoRR, 2022)

BIT: Bi-Level Temporal Modeling for Efficient Supervised Action Segmentation. - Zijia Lu; Ehsan Elhamifar (CoRR, 2023)

Learning to Predict Activity Progress by Self-Supervised Video Alignment. - Gerard Donahue; Ehsan Elhamifar (CVPR, 2024)

Error Detection in Egocentric Procedural Task Videos. - Shih-Po Lee; Zijia Lu; Zekun Zhang; Minh Hoai; Ehsan Elhamifar (CVPR, 2024)

FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation. - Zijia Lu; Ehsan Elhamifar (CVPR, 2024)

Semantic-Aware Multi-Label Adversarial Attacks. - Hassan Mahmood; Ehsan Elhamifar (CVPR, 2024)

Progress-Aware Online Action Segmentation for Egocentric Procedural Task Videos. - Yuhan Shen; Ehsan Elhamifar (CVPR, 2024)

Learning to Segment Referred Objects from Narrated Egocentric Videos. - Yuhan Shen; Huiyu Wang; Xitong Yang; Matt Feiszli; Ehsan Elhamifar; Lorenzo Torresani; Effrosyni Mavroudi (CVPR, 2024)

Exploring the Role of Audio in Video Captioning. - Yuhan Shen; Linjie Yang; Longyin Wen; Haichao Yu; Ehsan Elhamifar; Heng Wang (CVPR Workshops, 2024)

Two-Stage Active Learning for Efficient Temporal Action Segmentation. - Yuhao Su; Ehsan Elhamifar (ECCV (47), 2024)

DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos. - Zijia Lu; A S. M. Iftekhar; Gaurav Mittal; Tianjian Meng; Xiawei Wang; Cheng Zhao; Rohith Kukkala; Ehsan Elhamifar; Mei Chen (CVPR, 2025)

Compositional Targeted Multi-Label Universal Perturbations. - Hassan Mahmood; Ehsan Elhamifar (CVPR, 2025)

Understanding Multi-Task Activities from Single-Task Videos. - Yuhan Shen; Ehsan Elhamifar (CVPR, 2025)