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20172022
most citedReabsNet: Detecting and Revising Adversarial Examples

6 citations · 14 across the 9 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Object-Centric Unsupervised Image Captioning

Zihang Meng, David Yang, Xuefei Cao +2

Image captioning is a longstanding problem in the field of computer vision and natural language processing. To date, researchers have produced impressive state-of-the-art performan…

cs.CV2021

Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators

Zihang Meng, Vikas Singh, Sathya N. Ravi

We study how stochastic differential equation (SDE) based ideas can inspire new modifications to existing algorithms for a set of problems in computer vision. Loosely speaking, our…

cs.LG2021★ 2 cited

An Online Riemannian PCA for Stochastic Canonical Correlation Analysis

Zihang Meng, Rudrasis Chakraborty, Vikas Singh

We present an efficient stochastic algorithm (RSG+) for canonical correlation analysis (CCA) using a reparametrization of the projection matrices. We show how this reparametrizatio…

cs.CV2021★ 2 cited

Connecting What to Say With Where to Look by Modeling Human Attention Traces

Zihang Meng, Licheng Yu, Ning Zhang +4

We introduce a unified framework to jointly model images, text, and human attention traces. Our work is built on top of the recent Localized Narratives annotation framework [30], w…

cs.LG2021★ 1 cited

Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center

Teja Kanchinadam, Zihang Meng, Joseph Bockhorst +2

Customer satisfaction is an important factor in creating and maintaining long-term relationships with customers. Near real-time identification of potentially dissatisfied customers…