most citedFully Connected Deep Structured Networks

263 citations · 375 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2017

Convolutional Image Captioning

Jyoti Aneja, Aditya Deshpande, Alexander Schwing

Image captioning is an important but challenging task, applicable to virtual assistants, editing tools, image indexing, and support of the disabled. Its challenges are due to the v…

cs.CV201766 cited

Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

Liwei Wang, Alexander G. Schwing, Svetlana Lazebnik

This paper explores image caption generation using conditional variational auto-encoders (CVAEs). Standard CVAEs with a fixed Gaussian prior yield descriptions with too little vari…

cs.CV201745 cited

High-Order Attention Models for Visual Question Answering

Idan Schwartz, Alexander G. Schwing, Tamir Hazan

The quest for algorithms that enable cognitive abilities is an important part of machine learning. A common trait in many recently investigated cognitive-like tasks is that they ta…

cs.LG20171 cited

Dualing GANs

Yujia Li, Alexander Schwing, Kuan-Chieh Wang +1

Generative adversarial nets (GANs) are a promising technique for modeling a distribution from samples. It is however well known that GAN training suffers from instability due to th…

cs.CV2015263 cited

Fully Connected Deep Structured Networks

Alexander G. Schwing, Raquel Urtasun

Convolutional neural networks with many layers have recently been shown to achieve excellent results on many high-level tasks such as image classification, object detection and mor…