Chengxi Ye

According to our database, Chengxi Ye authored at least 19 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Exploiting Invariance in Training Deep Neural Networks.

Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Unsupervised Learning of Dense Optical Flow, Depth and Egomotion with Event-Based Sensors.

Chengxi Ye, Anton Mitrokhin, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Network Deconvolution.

Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning of Dense optical Flow, motion and depth, from Sparse Event Cameras.

Chengxi Ye

PhD thesis, 2019

EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras.

Anton Mitrokhin, Chengxi Ye, Cornelia Fermüller, Yiannis Aloimonos, Tobi Delbrück

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data.

Chengxi Ye, Anton Mitrokhin, Chethan Parameshwara, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos

CoRR, 2018

Evenly Cascaded Convolutional Networks.

Chengxi Ye, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

On the Importance of Consistency in Training Deep Neural Networks.

Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2017

What can i do around here? Deep functional scene understanding for cognitive robots.

Chengxi Ye, Yezhou Yang, Ren Mao, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots.

Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2016

LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning.

Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2014

BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution.

Chengxi Ye, Chiaowen Hsiao, Héctor Corrada Bravo

Bioinform., 2014

2013

Sparse Norm Filtering

Chengxi Ye, Dacheng Tao, Mingli Song, David W. Jacobs, Min Wu

CoRR, 2013

2012

Spectral Graph Cut from a Filtering Point of View

Chengxi Ye, Yuxu Lin, Mingli Song, Chun Chen, David W. Jacobs

CoRR, 2012

Exploiting sparseness in de novo genome assembly.

Chengxi Ye, Zhanshan (Sam) Ma, Charles H. Cannon, Mihai Pop, Douglas W. Yu

BMC Bioinform., 2012

2011

SparseAssembler2: Sparse k-mer Graph for Memory Efficient Genome Assembly

Chengxi Ye, Charles H. Cannon, Zhanshan (Sam) Ma, Douglas W. Yu, Mihai Pop

CoRR, 2011

SparseAssembler: de novo Assembly with the Sparse de Bruijn Graph

Chengxi Ye, Zhanshan (Sam) Ma, Charles H. Cannon, Mihai Pop, Douglas W. Yu

CoRR, 2011

2009

Viewpoint Independent Vehicle Speed Estimation From Uncalibrated Traffic Surveillance Cameras.

Haili Mao, Chengxi Ye, Mingli Song, Jiajun Bu, Na Li

Proceedings of the IEEE International Conference on Systems, 2009

2008

Speech Emotion Classification on a Riemannian Manifold.

Chengxi Ye, Jia Liu, Chun Chen, Mingli Song, Jiajun Bu

Proceedings of the Advances in Multimedia Information Processing, 2008