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2020 – today
- 2024
[c10]Danfeng Qin, Chas Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang, Weijun Wang, Colby R. Banbury, Chengxi Ye, Berkin Akin, Vaibhav Aggarwal, Tenghui Zhu, Daniele Moro, Andrew G. Howard:
MobileNetV4: Universal Models for the Mobile Ecosystem. ECCV (40) 2024: 78-96- [i14]Danfeng Qin, Chas Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang, Weijun Wang, Colby R. Banbury, Chengxi Ye, Berkin Akin, Vaibhav Aggarwal, Tenghui Zhu, Daniele Moro, Andrew Howard:
MobileNetV4 - Universal Models for the Mobile Ecosystem. CoRR abs/2404.10518 (2024) - [i13]Chengxi Ye, Grace Chu, Yanfeng Liu, Yichi Zhang, Lukasz Lew, Andrew G. Howard:
Robust Training of Neural Networks at Arbitrary Precision and Sparsity. CoRR abs/2409.09245 (2024) - 2022
- [c9]Chengxi Ye, Xiong Zhou, Tristan McKinney
, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov:
Exploiting Invariance in Training Deep Neural Networks. AAAI 2022: 8849-8856 - 2021
- [i12]Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov:
Exploiting Invariance in Training Deep Neural Networks. CoRR abs/2103.16634 (2021) - 2020
- [c8]Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos:
Network Deconvolution. ICLR 2020 - [c7]Chengxi Ye, Anton Mitrokhin, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos:
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion with Event-Based Sensors. IROS 2020: 5831-5838
2010 – 2019
- 2019
- [b1]Chengxi Ye:
Learning of Dense optical Flow, motion and depth, from Sparse Event Cameras. University of Maryland, College Park, MD, USA, 2019 - [c6]Anton Mitrokhin, Chengxi Ye, Cornelia Fermüller, Yiannis Aloimonos, Tobi Delbrück:
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras. IROS 2019: 6105-6112 - [i11]Anton Mitrokhin, Chengxi Ye, Cornelia Fermüller, Yiannis Aloimonos, Tobi Delbrück:
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras. CoRR abs/1903.07520 (2019) - [i10]Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos:
Network Deconvolution. CoRR abs/1905.11926 (2019) - 2018
- [c5]Chengxi Ye, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
Evenly Cascaded Convolutional Networks. IEEE BigData 2018: 4640-4647 - [i9]Chengxi Ye, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
Evenly Cascaded Convolutional Networks. CoRR abs/1807.00456 (2018) - [i8]Chengxi Ye, Anton Mitrokhin, Chethan Parameshwara, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos:
Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data. CoRR abs/1809.08625 (2018) - 2017
- [c4]Chengxi Ye, Yezhou Yang, Ren Mao, Cornelia Fermüller, Yiannis Aloimonos:
What can i do around here? Deep functional scene understanding for cognitive robots. ICRA 2017: 4604-4611 - [i7]Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
On the Importance of Consistency in Training Deep Neural Networks. CoRR abs/1708.00631 (2017) - 2016
- [c3]Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. ACM Multimedia 2016: 1156-1159 - [i6]Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots. CoRR abs/1602.00032 (2016) - [i5]Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. CoRR abs/1605.02766 (2016) - 2014
- [j2]Chengxi Ye, Chiaowen Hsiao, Héctor Corrada Bravo:
BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution. Bioinform. 30(9): 1214-1219 (2014) - 2013
- [i4]Chengxi Ye, Dacheng Tao, Mingli Song, David W. Jacobs, Min Wu:
Sparse Norm Filtering. CoRR abs/1305.3971 (2013) - 2012
- [j1]Chengxi Ye, Zhanshan (Sam) Ma, Charles H. Cannon, Mihai Pop, Douglas W. Yu:
Exploiting sparseness in de novo genome assembly. BMC Bioinform. 13(S-6): S1 (2012) - [i3]Chengxi Ye, Yuxu Lin, Mingli Song, Chun Chen, David W. Jacobs:
Spectral Graph Cut from a Filtering Point of View. CoRR abs/1205.4450 (2012) - 2011
- [i2]Chengxi Ye, Zhanshan (Sam) Ma, Charles H. Cannon, Mihai Pop, Douglas W. Yu:
SparseAssembler: de novo Assembly with the Sparse de Bruijn Graph. CoRR abs/1106.2603 (2011) - [i1]Chengxi Ye, Charles H. Cannon, Zhanshan (Sam) Ma, Douglas W. Yu, Mihai Pop:
SparseAssembler2: Sparse k-mer Graph for Memory Efficient Genome Assembly. CoRR abs/1108.3556 (2011)
2000 – 2009
- 2009
- [c2]Haili Mao, Chengxi Ye, Mingli Song, Jiajun Bu, Na Li:
Viewpoint Independent Vehicle Speed Estimation From Uncalibrated Traffic Surveillance Cameras. SMC 2009: 4920-4925 - 2008
- [c1]Chengxi Ye, Jia Liu, Chun Chen, Mingli Song, Jiajun Bu:
Speech Emotion Classification on a Riemannian Manifold. PCM 2008: 61-69
Coauthor Index
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