activity
20162023
most citedXNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

279 citations · 702 across the 32 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CL2018

Chat-crowd: A Dialog-based Platform for Visual Layout Composition

Paola Cascante-Bonilla, Xuwang Yin, Vicente Ordonez +1

In this paper we introduce Chat-crowd, an interactive environment for visual layout composition via conversational interactions. Chat-crowd supports multiple agents with two conver…

cs.CV2018★ 31 cited

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations

Tianlu Wang, Jieyu Zhao, Mark Yatskar +2

In this work, we present a framework to measure and mitigate intrinsic biases with respect to protected variables --such as gender-- in visual recognition tasks. We show that train…

cs.CV2018★ 12 cited

Text2Scene: Generating Compositional Scenes from Textual Descriptions

Fuwen Tan, Song Feng, Vicente Ordonez

In this paper, we propose Text2Scene, a model that generates various forms of compositional scene representations from natural language descriptions. Unlike recent works, our metho…

cs.IR2018

Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval

Shanmin Pang, Jin Ma, Jianru Xue +2

Image retrieval based on deep convolutional features has demonstrated state-of-the-art performance in popular benchmarks. In this paper, we present a unified solution to address de…

cs.CL2018★ 93 cited

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Jieyu Zhao, Tianlu Wang, Mark Yatskar +2

We introduce a new benchmark, WinoBias, for coreference resolution focused on gender bias. Our corpus contains Winograd-schema style sentences with entities corresponding to people…