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Junchi Yan
Junchi Yan
Shanghai Jiao Tong University (2018-), IBM Research (2011-2018)
Verified email at cs.sjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Ternary weight networks
B Liu, F Li, X Wang, B Zhang, J Yan
arXiv preprint arXiv:1605.04711, 2016
10092016
SCRDet: Towards more robust detection for small, cluttered and rotated objects
X Yang, J Yang, J Yan, Y Zhang, T Zhang, Z Guo, X Sun, K Fu
ICCV 2019, 2019
4472019
R3Det: Refined single-stage detector with feature refinement for rotating object
X Yang, J Yan, Z Feng, T He
AAAI 2021, 2021
3442021
Image matching from handcrafted to deep features: A survey
J Ma, X Jiang, A Fan, J Jiang, J Yan
IJCV 2021, 2021
3282021
Unsupervised deep learning for optical flow estimation
Z Ren, J Yan, B Ni, B Liu, X Yang, H Zha
AAAI 2017, 2017
2842017
Modeling the intensity function of point process via recurrent neural networks
S Xiao, J Yan, X Yang, H Zha, S Chu
AAAI 2017, 2017
2242017
Visual saliency detection via sparsity pursuit
J Yan, M Zhu, H Liu, Y Liu
IEEE Signal Processing Letters 17 (8), 739-742, 2010
2032010
Person re-identification with correspondence structure learning
Y Shen, W Lin, J Yan, M Xu, J Wu, J Wang
ICCV 2015, 2015
1962015
Deep spectral clustering using dual autoencoder network
X Yang, C Deng, F Zheng, J Yan, W Liu
CVPR 2019, 2019
1892019
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
X Pan, P Rijnbeek, J Yan, HB Shen
BMC genomics 2018, 2018
1862018
Arbitrary-oriented object detection with circular smooth label
X Yang, J Yan
ECCV 2020, 2020
1852020
Multi-graph matching via affinity optimization with graduated consistency regularization
J Yan, M Cho, H Zha, X Yang, SM Chu
IEEE TPAMI 2016, 2016
1712016
Wasserstein learning of deep generative point process models
S Xiao, M Farajtabar, X Ye, J Yan, L Song, H Zha
NIPS 2017, 2017
1482017
A short survey of recent advances in graph matching
J Yan, XC Yin, W Lin, C Deng, H Zha, X Yang
ICMR 2016, 2016
1452016
Learning modulated loss for rotated object detection
W Qian, X Yang, S Peng, Y Guo, J Yan
AAAI 2021, 2021
1412021
Learning combinatorial embedding networks for deep graph matching
R Wang, J Yan, X Yang
ICCV 2019, 2019
1412019
Consistency-driven alternating optimization for multigraph matching: A unified approach
J Yan, J Wang, H Zha, X Yang, S Chu
IEEE TIP 2015, 2015
1072015
IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction
X Pan, YX Fan, J Yan, HB Shen
BMC genomics 17 (1), 1-14, 2016
1062016
Learning time series associated event sequences with recurrent point process networks
S Xiao, J Yan, M Farajtabar, L Song, X Yang, H Zha
IEEE TNNLS 2019, 2019
105*2019
Personalized key frame recommendation
X Chen, Y Zhang, Q Ai, H Xu, J Yan, Z Qin
SIGIR 2017, 2017
1032017
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