Junchi Yan
Junchi Yan
Prof. of Shanghai Jiao Tong University (2018-), RSM of IBM Research (2011-2018)
Verified email at - Homepage
Cited by
Cited by
Ternary weight networks
B Liu, F Li, X Wang, B Zhang, J Yan
ICASSP 2013 (arXiv:1605.04711), 2016
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
R3Det: Refined single-stage detector with feature refinement for rotating object
X Yang, J Yan, Z Feng, T He
AAAI 2021, 2021
Image matching from handcrafted to deep features: A survey
J Ma, X Jiang, A Fan, J Jiang, J Yan
IJCV 2021, 2021
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
Unsupervised deep learning for optical flow estimation
Z Ren, J Yan, B Ni, B Liu, X Yang, H Zha
AAAI 2017, 2017
Arbitrary-oriented object detection with circular smooth label
X Yang, J Yan
ECCV 2020, 2020
Modeling the intensity function of point process via recurrent neural networks
S Xiao, J Yan, X Yang, H Zha, S Chu
AAAI 2017, 2017
Deep spectral clustering using dual autoencoder network
X Yang, C Deng, F Zheng, J Yan, W Liu
CVPR 2019, 2019
Visual saliency detection via sparsity pursuit
J Yan, M Zhu, H Liu, Y Liu
IEEE Signal Processing Letters 17 (8), 739-742, 2010
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
Person re-identification with correspondence structure learning
Y Shen, W Lin, J Yan, M Xu, J Wu, J Wang
ICCV 2015, 2015
Learning modulated loss for rotated object detection
W Qian, X Yang, S Peng, Y Guo, J Yan
AAAI 2021, 2021
Multi-graph matching via affinity optimization with graduated consistency regularization
J Yan, M Cho, H Zha, X Yang, SM Chu
IEEE TPAMI 2016, 2016
Learning combinatorial embedding networks for deep graph matching
R Wang, J Yan, X Yang
ICCV 2019, 2019
Wasserstein learning of deep generative point process models
S Xiao, M Farajtabar, X Ye, J Yan, L Song, H Zha
NIPS 2017, 2017
A short survey of recent advances in graph matching
J Yan, XC Yin, W Lin, C Deng, H Zha, X Yang
ICMR 2016, 2016
Rethinking rotated object detection with gaussian wasserstein distance loss
X Yang, J Yan, Q Ming, W Wang, X Zhang, Q Tian
ICML 2021, 2021
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
X Yang, L Hou, Y Zhou, W Wang, J Yan
CVPR 2021, 2021
Generalizing Face Forgery Detection with High-frequency Features
Y Luo, Y Zhang, J Yan, W Liu
CVPR 2021, 2021
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