Ehsan Elhamifar

发表

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

Dat Huynh, Dat T. Huynh, Ehsan Elhamifar, 2020, NeurIPS.

Sparse Subspace Clustering: Algorithm, Theory, and Applications

René Vidal, Ehsan Elhamifar, R. Vidal, 2012, IEEE transactions on pattern analysis and machine intelligence.

Subset Selection for Sequential Data

Ehsan Elhamifar, 2017, NIPS 2017.

Unsupervised Procedure Learning via Joint Dynamic Summarization

Ehsan Elhamifar, Zwe Naing, Ehsan Elhamifar, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Deep Supervised Summarization: Algorithm and Application to Learning Instructions

Ehsan Elhamifar, Chengguang Xu, Ehsan Elhamifar, 2019, NeurIPS.

Energy Disaggregation via Learning Powerlets and Sparse Coding

S. Shankar Sastry, Ehsan Elhamifar, 2015, AAAI.

S. Shankar Sastry, Guillermo Sapiro, Ehsan Elhamifar, 2015, IEEE Trans. Pattern Anal. Mach. Intell..

Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation

Gregory D. Hager, René Vidal, Sanjeev Khudanpur, 2012, IPCAI.

High Rank Matrix Completion With Side Information

Ehsan Elhamifar, Yugang Wang, Ehsan Elhamifar, 2018, AAAI.

Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery

Guillermo Sapiro, René Vidal, Ehsan Elhamifar, 2012, NIPS.

Structured Sparse Recovery via Convex Optimization pdf

René Vidal, Ehsan Elhamifar, R. Vidal, 2011, arXiv.org.

Multiscale TILT Feature Detection with Application to Geometric Image Segmentation

Allen Y. Yang, S. Shankar Sastry, Ehsan Elhamifar, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Robust classification using structured sparse representation

René Vidal, Ehsan Elhamifar, R. Vidal, 2011, CVPR 2011.

Interactive Multi-Label CNN Learning With Partial Labels

Dat T. Huynh, Ehsan Elhamifar, Dat Huynh, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Dat T. Huynh, Ehsan Elhamifar, Dat Huynh, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Application of neural networks to decentralized control of robot manipulators with high degree of freedom

Nasser Sadati, Ehsan Elhamifar, 2005, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05).

Procedure Completion by Learning from Partial Summaries

Ehsan Elhamifar, Zwe Naing, Ehsan Elhamifar, 2020, BMVC.

On the Lagrangian biduality of sparsity minimization problems

Allen Y. Yang, S. Shankar Sastry, Roberto Tron, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust Subspace Clustering pdf

Emmanuel J. Candès, Mahdi Soltanolkotabi, Ehsan Elhamifar, 2013, ArXiv.

TCO‐Based Active Dielectric Metasurfaces Design by Conditional Generative Adversarial Networks

Dat T. Huynh, Hossein Mosallaei, Ehsan Elhamifar, 2020, Advanced Theory and Simulations.

Subset Selection and Summarization in Sequential Data

Ehsan Elhamifar, M. Clara De Paolis Kaluza, Ehsan Elhamifar, 2017, NIPS.

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

Jasper Snoek, Ehsan Elhamifar, Zelda Mariet, 2020, ArXiv.

Sparse modeling for high-dimensional multi-manifold data analysis

Ehsan Elhamifar, Ehsan Elhamifar, 2012 .

Block-Sparse Recovery via Convex Optimization

René Vidal, Ehsan Elhamifar, R. Vidal, 2011, IEEE Transactions on Signal Processing.

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

Nasser Sadati, Ehsan Elhamifar, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Clustering disjoint subspaces via sparse representation

René Vidal, Ehsan Elhamifar, R. Vidal, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Sparse subspace clustering

René Vidal, Ehsan Elhamifar, 2009, CVPR.

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

Ehsan Elhamifar, Ehsan Elhamifar, 2016, NIPS.

Distributed calibration of Camera Sensor Networks

René Vidal, Ehsan Elhamifar, R. Vidal, 2009, 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC).

Sequential Facility Location: Approximate Submodularity and Greedy Algorithm

Ehsan Elhamifar, Ehsan Elhamifar, 2019, ICML.

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

Ehsan Elhamifar, Mihaly Petreczky, Rene Vidal, 2009, 2009 American Control Conference.

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

Guillermo Sapiro, René Vidal, Ehsan Elhamifar, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Automatic Calibration of Cameras with Special Motions

René Vidal, Ehsan Elhamifar, 2009 .

Sparse Manifold Clustering and Embedding

René Vidal, Ehsan Elhamifar, R. Vidal, 2011, NIPS.

Consensus with robustness to outliers via distributed optimization

René Vidal, I-Jeng Wang, Ehsan Elhamifar, 2010, 49th IEEE Conference on Decision and Control (CDC).

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

Dat T. Huynh, Ehsan Elhamifar, Dat Huynh, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

René Vidal, Ehsan Elhamifar, R. Vidal, 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

A Convex Optimization Framework for Active Learning

Allen Y. Yang, S. Shankar Sastry, Guillermo Sapiro, 2013, 2013 IEEE International Conference on Computer Vision.

S. Shankar Sastry, Guillermo Sapiro, Ehsan Elhamifar, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Self-supervised Multi-task Procedure Learning from Instructional Videos

Dat Huynh, Dat T. Huynh, Ehsan Elhamifar, 2020, ECCV.

Appreciation to IJCV Reviewers

Reinhard Koch, Iasonas Kokkinos, Jan-Michael Frahm, 2012, International Journal of Computer Vision.

Online Summarization via Submodular and Convex Optimization

Ehsan Elhamifar, M. Clara De Paolis Kaluza, Ehsan Elhamifar, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Introvert: Human Trajectory Prediction via Conditional 3D Attention

Taskin Padir, Ehsan Elhamifar, Nasim Shafiee, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Compositional Fine-Grained Low-Shot Learning pdf

Ehsan Elhamifar, Dat Huynh, 2021, ArXiv.

Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling

Jasper Snoek, Ehsan Elhamifar, Jennifer Dy, 2021, AISTATS.

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

Ehsan Elhamifar, Jason Kuen, Dat Huynh, 2021, ArXiv.

Learning to Segment Actions from Visual and Language Instructions via Differentiable Weak Sequence Alignment

Ehsan Elhamifar, Lu Wang, Yuhan Shen, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).