X. Wang

Publications
Influence

X. Wang, Ross B. Girshick, A. Gupta, Kaiming He
Computer Science
IEEE/CVF Conference on Computer Vision and…
21 November 2017

In this paper, we present non-local operations as a generic family of building blocks for capturing long-range dependencies with deep neural networks. Expand

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Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

Gunnar A. Sigurdsson, G. Varol, X. Wang, Ali Farhadi, I. Laptev, A. Gupta
Computer Science
ECCV
6 April 2016

We propose a novel Hollywood in Homes approach to collect a large-scale dataset of boring videos of daily activities. Expand

Videos as Space-Time Region Graphs

X. Wang, A. Gupta
Computer Science
ECCV
5 June 2018

In this paper, we propose to represent videos as space-time region graphs which capture temporal shape dynamics and modeling functional relationships between humans and objects. Expand

Unsupervised Learning of Visual Representations Using Videos

X. Wang, A. Gupta
Computer Science
IEEE International Conference on Computer Vision…
4 May 2015

We present a simple yet surprisingly powerful approach for unsupervised learning of ConvNets using hundreds of thousands of unlabeled videos from the web to learn visual representations. Expand

Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs

X. Wang, Yufei Ye, A. Gupta
Computer Science
IEEE/CVF Conference on Computer Vision and…
21 March 2018

We build upon the recently introduced Graph Convolutional Network and propose an approach that uses both semantic embeddings and the categorical relationships to predict the classifiers. Expand

Actions ~ Transformations

X. Wang, Ali Farhadi, A. Gupta
Computer Science, Mathematics
IEEE Conference on Computer Vision and Pattern…
2 December 2015

We propose a novel representation for actions by modeling an action as transformation which changes the state of the environment before the action happens (precondition) to the state after the action (effect). Expand

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

X. Wang, Abhinav Shrivastava, A. Gupta
Computer Science
IEEE Conference on Computer Vision and Pattern…
11 April 2017

We propose to learn an adversarial network that generates examples with occlusions and deformations. Expand

Designing deep networks for surface normal estimation

X. Wang, David F. Fouhey, A. Gupta
Computer Science
IEEE Conference on Computer Vision and Pattern…
18 November 2014

We use CNNs for the task of predicting surface normals from a single image. Expand

Learning Correspondence From the Cycle-Consistency of Time

X. Wang, A. Jabri, Alexei A. Efros
Computer Science
IEEE/CVF Conference on Computer Vision and…
18 March 2019

We introduce a self-supervised method for learning visual correspondence from unlabeled video. Expand

3D Human Pose Estimation in the Wild by Adversarial Learning

Wei Yang, Wanli Ouyang, X. Wang, J. Ren, Hongsheng Li, X. Wang
Computer Science
IEEE/CVF Conference on Computer Vision and…
26 March 2018

In this paper, we propose an adversarial learning framework, which distills the 3D human pose structures learned from the fully annotated constrained 3D pose dataset to in-the-wild images with only 2D pose annotations. Expand

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