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Junchi Yan
Junchi Yan
FIET & Prof., Shanghai Jiao Tong University (2018-), RSM of 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
ICASSP 2023 (arXiv:1605.04711), 2016
12472016
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
8262019
R3Det: Refined single-stage detector with feature refinement for rotating object
X Yang, J Yan, Z Feng, T He
AAAI 2021, 2021
7442021
Image matching from handcrafted to deep features: A survey
J Ma, X Jiang, A Fan, J Jiang, J Yan
IJCV 2021, 2021
6582021
Transformers in time series: A survey
Q Wen, T Zhou, C Zhang, W Chen, Z Ma, J Yan, L Sun
IJCAI 2023 Survey Track, 2023
4252023
Arbitrary-oriented object detection with circular smooth label
X Yang, J Yan
ECCV 2020, 2020
4252020
Unsupervised deep learning for optical flow estimation
Z Ren, J Yan, B Ni, B Liu, X Yang, H Zha
AAAI 2017, 2017
3442017
Learning modulated loss for rotated object detection
W Qian, X Yang, S Peng, Y Guo, J Yan
AAAI 2021, 2021
3042021
Rethinking rotated object detection with gaussian wasserstein distance loss
X Yang, J Yan, Q Ming, W Wang, X Zhang, Q Tian
ICML 2021, 2021
3012021
Modeling the intensity function of point process via recurrent neural networks
S Xiao, J Yan, X Yang, H Zha, S Chu
AAAI 2017, 2017
2932017
Deep spectral clustering using dual autoencoder network
X Yang, C Deng, F Zheng, J Yan, W Liu
CVPR 2019, 2019
2832019
Generalizing Face Forgery Detection with High-frequency Features
Y Luo, Y Zhang, J Yan, W Liu
CVPR 2021, 2021
2512021
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
X Yang, X Yang, J Yang, Q Ming, W Wang, Q Tian, J Yan
NeurIPS 2021, 2021
2462021
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
X Yang, L Hou, Y Zhou, W Wang, J Yan
CVPR 2021, 2021
2422021
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
2342018
Learning combinatorial embedding networks for deep graph matching
R Wang, J Yan, X Yang
ICCV 2019, 2019
2312019
Visual saliency detection via sparsity pursuit
J Yan, M Zhu, H Liu, Y Liu
IEEE Signal Processing Letters 17 (8), 739-742, 2010
2082010
SCRDet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rotation loss smoothing
X Yang, J Yan, W Liao, X Yang, J Tang, T He
IEEE TPAMI 2023 45 (2), 2384-2399, 2023
2052023
Person re-identification with correspondence structure learning
Y Shen, W Lin, J Yan, M Xu, J Wu, J Wang
ICCV 2015, 2015
2002015
A short survey of recent advances in graph matching
J Yan, XC Yin, W Lin, C Deng, H Zha, X Yang
ICMR 2016, 2016
1912016
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