output
20102026
most citedDeep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

3.5k citations

Showing 2018Show all

66 papers · 1 filter

cs.CV2018★ 65 cited

Context-Aware Synthesis and Placement of Object Instances

Donghoon Lee, Sifei Liu, Jinwei Gu +3

Learning to insert an object instance into an image in a semantically coherent manner is a challenging and interesting problem. Solving it requires (a) determining a location to pl…

cs.LG2018★ 6 cited

Application-driven Privacy-preserving Data Publishing with Correlated Attributes

Aria Rezaei, Chaowei Xiao, Jie Gao +2

Recent advances in computing have allowed for the possibility to collect large amounts of data on personal activities and private living spaces. To address the privacy concerns of…

cs.CV2018★ 5 cited

Extreme View Synthesis

Inchang Choi, Orazio Gallo, Alejandro Troccoli +2

We present Extreme View Synthesis, a solution for novel view extrapolation that works even when the number of input images is small--as few as two. In this context, occlusions and…

cs.CV2018

Discovering Spatio-Temporal Action Tubes

Yuancheng Ye, Xiaodong Yang, Yingli Tian

In this paper, we address the challenging problem of spatial and temporal action detection in videos. We first develop an effective approach to localize frame-level action regions…

cs.CV2018★ 8 cited

An Interpretable Model for Scene Graph Generation

Ji Zhang, Kevin Shih, Andrew Tao +2

We propose an efficient and interpretable scene graph generator. We consider three types of features: visual, spatial and semantic, and we use a late fusion strategy such that each…

cs.CV2018★ 6 cited

Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge

Ji Zhang, Kevin Shih, Andrew Tao +2

This article describes the model we built that achieved 1st place in the OpenImage Visual Relationship Detection Challenge on Kaggle. Three key factors contribute the most to our s…