NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (27)

cs.LG2018

Experiments on Parallel Training of Deep Neural Network using Model Averaging

Hang Su, Haoyu Chen

cs.LG2018

Boosting Adversarial Attacks with Momentum

Yinpeng Dong, Fangzhou Liao, Tianyu Pang +4

cs.LG2018

Deep Structured Generative Models

Kun Xu, Haoyu Liang, Jun Zhu +2

cs.LG2018

Analyzing the Noise Robustness of Deep Neural Networks

Mengchen Liu, Shixia Liu, Hang Su +2

cs.CV2018

Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process

Haosheng Zou, Hang Su, Shihong Song +1

cs.CV2018

SPLATNet: Sparse Lattice Networks for Point Cloud Processing

Hang Su, Varun Jampani, Deqing Sun +4

cs.CV2019

Efficient Decision-based Black-box Adversarial Attacks on Face Recognition

Yinpeng Dong, Hang Su, Baoyuan Wu +4

cs.CV2017

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples

Yinpeng Dong, Hang Su, Jun Zhu +1

cs.CV2018

Scalable Deep Learning Logo Detection

Hang Su, Shaogang Gong, Xiatian Zhu

cs.CL2017

SAM: Semantic Attribute Modulation for Language Modeling and Style Variation

Wenbo Hu, Lifeng Hua, Lei Li +4

cs.LG2019

Boosting Generative Models by Leveraging Cascaded Meta-Models

Fan Bao, Hang Su, Jun Zhu

cs.CV2019

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Yinpeng Dong, Tianyu Pang, Hang Su +1

cs.CV2017

Improving Interpretability of Deep Neural Networks with Semantic Information

Yinpeng Dong, Hang Su, Jun Zhu +1

cs.LG2019

Reward Shaping via Meta-Learning

Haosheng Zou, Tongzheng Ren, Dong Yan +2

cs.CV2019

Pixel-Adaptive Convolutional Neural Networks

Hang Su, Varun Jampani, Deqing Sun +3

cs.CV2018

Sparse Adversarial Perturbations for Videos

Xingxing Wei, Jun Zhu, Hang Su

cs.CV2018

Open Logo Detection Challenge

Hang Su, Xiatian Zhu, Shaogang Gong

cs.CV2018

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

Danyang Sun, Tongzheng Ren, Chongxun Li +2

cs.CV2018

Graph Correspondence Transfer for Person Re-identification

Qin Zhou, Heng Fan, Shibao Zheng +4

cs.CV2018

Deep Learning Logo Detection with Data Expansion by Synthesising Context

Hang Su, Xiatian Zhu, Shaogang Gong

cs.CV2017

Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization

Yinpeng Dong, Renkun Ni, Jianguo Li +3

cs.CV2015

Multi-view Convolutional Neural Networks for 3D Shape Recognition

Hang Su, Subhransu Maji, Evangelos Kalogerakis +1

cs.LG2019

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples

Yinpeng Dong, Fan Bao, Hang Su +1

cs.CV2018

Robust and Efficient Graph Correspondence Transfer for Person Re-identification

Qin Zhou, Heng Fan, Hua Yang +4

cs.CV2017

Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks

Guohao Li, Hang Su, Wenwu Zhu

cs.CV2017

End-to-end Face Detection and Cast Grouping in Movies Using Erdős-Rényi Clustering

SouYoung Jin, Hang Su, Chris Stauffer +1

cs.LG2016

FLASH: Fast Bayesian Optimization for Data Analytic Pipelines

Yuyu Zhang, Mohammad Taha Bahadori, Hang Su +1