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2020 – today
- 2022
[i13]Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter:
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. CoRR abs/2201.13396 (2022)- [i12]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CoRR abs/2205.10793 (2022) - [i11]Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang:
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework. CoRR abs/2205.13790 (2022) - [i10]Kaicheng Yu, Tao Tang, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, Tingting Liang, Haiyang Sun, Jiong Deng, Dayang Hao, Yongtao Wang, Xiaodan Liang, Bing Wang:
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection. CoRR abs/2205.14951 (2022) - 2021
- [b1]Kaicheng Yu:
From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search. EPFL, Switzerland, 2021 - [c8]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CVPR 2021: 13723-13732 - [c7]Xiaobin Hu, Wenqi Ren, Kaicheng Yu, Kaihao Zhang, Xiaochun Cao, Wei Liu, Bjoern H. Menze:
Pyramid Architecture Search for Real-Time Image Deblurring. ICCV 2021: 4278-4287 - [i9]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CoRR abs/2104.05309 (2021) - [i8]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. CoRR abs/2110.01154 (2021) - 2020
- [j3]Kun Hao
, Qixin Xue, Cheng Li, Kaicheng Yu:
A Hybrid Localization Algorithm Based on Doppler Shift and AOA for an Underwater Mobile Node. IEEE Access 8: 181662-181673 (2020) - [j2]Kun Hao, Kaicheng Yu, Zijun Gong, Xiujuan Du, Yonglei Liu, Lu Zhao:
An Enhanced AUV- Aided TDoA Localization Algorithm for Underwater Acoustic Sensor Networks. Mob. Networks Appl. 25(5): 1673-1682 (2020) - [j1]Kun Hao, Jiale Zhao, Kaicheng Yu, Cheng Li, Chuanqi Wang:
Path Planning of Mobile Robots Based on a Multi-Population Migration Genetic Algorithm. Sensors 20(20): 5873 (2020) - [c6]Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings:
Generalized Class Incremental Learning. CVPR Workshops 2020: 970-974 - [c5]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c4]Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann:
Evaluating The Search Phase of Neural Architecture Search. ICLR 2020 - [i7]Kaicheng Yu, René Ranftl, Mathieu Salzmann:
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. CoRR abs/2003.04276 (2020)
2010 – 2019
- 2019
- [c3]Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Recurrent U-Net for Resource-Constrained Segmentation. ICCV 2019: 2142-2151 - [c2]Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat:
Overcoming Multi-model Forgetting. ICML 2019: 594-603 - [i6]Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, Mathieu Salzmann:
Evaluating the Search Phase of Neural Architecture Search. CoRR abs/1902.08142 (2019) - [i5]Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat:
Overcoming Multi-Model Forgetting. CoRR abs/1902.08232 (2019) - [i4]Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Recurrent U-Net for Resource-Constrained Segmentation. CoRR abs/1906.04913 (2019) - 2018
- [c1]Kaicheng Yu, Mathieu Salzmann:
Statistically-Motivated Second-Order Pooling. ECCV (7) 2018: 621-637 - [i3]Kaicheng Yu, Mathieu Salzmann:
Statistically Motivated Second Order Pooling. CoRR abs/1801.07492 (2018) - [i2]Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation. CoRR abs/1811.10914 (2018) - 2017
- [i1]Kaicheng Yu, Mathieu Salzmann:
Second-order Convolutional Neural Networks. CoRR abs/1703.06817 (2017)
Coauthor Index
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