Chengxi Ye - RankMe

27 papers A* 4A 2B 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	MobileNetV4 - Universal Models for the Mobile Ecosystem. CoRR 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
2024	—	`conf`	MobileNetV4: Universal Models for the Mobile Ecosystem. ECCV (40) 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
2024	J	`jnl`	Robust Training of Neural Networks at Arbitrary Precision and Sparsity. CoRR Chengxi Ye, Grace Chu, Yanfeng Liu, Yichi Zhang, Lukasz Lew, Andrew G. Howard
2022	A*	`conf`	Exploiting Invariance in Training Deep Neural Networks. AAAI Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov
2021	J	`jnl`	Exploiting Invariance in Training Deep Neural Networks. CoRR Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov
2020	A*	`conf`	Network Deconvolution. ICLR Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos
2020	A	`conf`	Unsupervised Learning of Dense Optical Flow, Depth and Egomotion with Event-Based Sensors. IROS Chengxi Ye, Anton Mitrokhin, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos
2019	A	`conf`	EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras. IROS Anton Mitrokhin, Chengxi Ye, Cornelia Fermüller, Yiannis Aloimonos, Tobi Delbruck
2019	J	`jnl`	EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras. CoRR Anton Mitrokhin, Chengxi Ye, Cornelia Fermüller, Yiannis Aloimonos, Tobi Delbruck
2019	—	`—`	Learning of Dense optical Flow, motion and depth, from Sparse Event Cameras. Chengxi Ye
2019	J	`jnl`	Network Deconvolution. CoRR Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos
2018	—	`conf`	Evenly Cascaded Convolutional Networks. IEEE BigData Chengxi Ye, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos
2018	J	`jnl`	Evenly Cascaded Convolutional Networks. CoRR Chengxi Ye, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos
2018	J	`jnl`	Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data. CoRR Chengxi Ye, Anton Mitrokhin, Chethan Parameshwara, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos
2017	J	`jnl`	On the Importance of Consistency in Training Deep Neural Networks. CoRR Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2017	A*	`conf`	What can i do around here? Deep functional scene understanding for cognitive robots. ICRA Chengxi Ye, Yezhou Yang, Ren Mao, Cornelia Fermüller, Yiannis Aloimonos
2016	A*	`conf`	LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. ACM Multimedia Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2016	J	`jnl`	LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. CoRR Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2016	J	`jnl`	What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots. CoRR Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2014	J	`jnl`	BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution. Bioinform. Chengxi Ye, Chiaowen Hsiao, Héctor Corrada Bravo
2013	J	`jnl`	Sparse Norm Filtering CoRR Chengxi Ye, Dacheng Tao, Mingli Song, David W. Jacobs, Min Wu
2012	J	`jnl`	Exploiting sparseness in de novo genome assembly. BMC Bioinform. Chengxi Ye, Zhanshan (Sam) Ma, Charles H. Cannon, Mihai Pop, Douglas W. Yu
2012	J	`jnl`	Spectral Graph Cut from a Filtering Point of View CoRR Chengxi Ye, Yuxu Lin, Mingli Song, Chun Chen, David W. Jacobs
2011	J	`jnl`	SparseAssembler2: Sparse k-mer Graph for Memory Efficient Genome Assembly CoRR Chengxi Ye, Charles H. Cannon, Zhanshan (Sam) Ma, Douglas W. Yu, Mihai Pop
2011	J	`jnl`	SparseAssembler: de novo Assembly with the Sparse de Bruijn Graph CoRR Chengxi Ye, Zhanshan (Sam) Ma, Charles H. Cannon, Mihai Pop, Douglas W. Yu
2009	B	`conf`	Viewpoint Independent Vehicle Speed Estimation From Uncalibrated Traffic Surveillance Cameras. SMC Haili Mao, Chengxi Ye, Mingli Song, Jiajun Bu, Na Li
2008	—	`conf`	Speech Emotion Classification on a Riemannian Manifold. PCM Chengxi Ye, Jia Liu, Chun Chen, Mingli Song, Jiajun Bu