activity
20182021
most citedJoint Concept Matching based Learning for Zero-Shot Recognition

2 citations · 4 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV20211 cited

eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges

Jiangbo Yuan, An-Ti Chiang, Wen Tang +1

Large-scale product recognition is one of the major applications of computer vision and machine learning in the e-commerce domain. Since the number of products is typically much la…

cs.LG2021

Deep Transform and Metric Learning Networks

Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet +1

Based on its great successes in inference and denosing tasks, Dictionary Learning (DL) and its related sparse optimization formulations have garnered a lot of research interest. Wh…

cs.LG2020

Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks

Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet +1

On account of its many successes in inference tasks and denoising applications, Dictionary Learning (DL) and its related sparse optimization problems have garnered a lot of researc…

cs.CV20192 cited

Joint Concept Matching based Learning for Zero-Shot Recognition

Wen Tang, Ashkan Panahi, Hamid Krim

Zero-shot learning (ZSL) which aims to recognize unseen object classes by only training on seen object classes, has increasingly been of great interest in Machine Learning, and has…

cs.LG20191 cited

Analysis Dictionary Learning: An Efficient and Discriminative Solution

Wen Tang, Ashkan Panahi, Hamid Krim +1

Discriminative Dictionary Learning (DL) methods have been widely advocated for image classification problems. To further sharpen their discriminative capabilities, most state-of-th…

cs.CV2018

Analysis Dictionary Learning based Classification: Structure for Robustness

Wen Tang, Ashkan Panahi, Hamid Krim +1

A discriminative structured analysis dictionary is proposed for the classification task. A structure of the union of subspaces (UoS) is integrated into the conventional analysis di…