Follow
Junchi Yan
Junchi Yan
FIAPR/FIET/IEEE-AI2Watch, SJTU (2018-), IBM (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
13522016
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
9922019
R3Det: Refined single-stage detector with feature refinement for rotating object
X Yang, J Yan, Z Feng, T He
AAAI 2021, 2021
9882021
Image matching from handcrafted to deep features: A survey
J Ma, X Jiang, A Fan, J Jiang, J Yan
IJCV 2021, 2021
8472021
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
8182023
Arbitrary-oriented object detection with circular smooth label
X Yang, J Yan
ECCV 2020, 2020
5602020
Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting
Y Zhang, J Yan
ICLR 2023 (oral), 2023
5362023
Rethinking rotated object detection with gaussian wasserstein distance loss
X Yang, J Yan, Q Ming, W Wang, X Zhang, Q Tian
ICML 2021, 2021
4442021
Generalizing Face Forgery Detection with High-frequency Features
Y Luo, Y Zhang, J Yan, W Liu
CVPR 2021, 2021
3942021
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
3762021
Learning modulated loss for rotated object detection
W Qian, X Yang, S Peng, Y Guo, J Yan
AAAI 2021, 2021
3752021
Unsupervised deep learning for optical flow estimation
Z Ren, J Yan, B Ni, B Liu, X Yang, H Zha
AAAI 2017, 2017
3712017
Deep spectral clustering using dual autoencoder network
X Yang, C Deng, F Zheng, J Yan, W Liu
CVPR 2019, 2019
3322019
Modeling the intensity function of point process via recurrent neural networks
S Xiao, J Yan, X Yang, H Zha, S Chu
AAAI 2017, 2017
3282017
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
X Yang, L Hou, Y Zhou, W Wang, J Yan
CVPR 2021, 2021
3182021
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 (arxiv 2004.13316) 45 (2), 2384-2399, 2023
2832023
Learning combinatorial embedding networks for deep graph matching
R Wang, J Yan, X Yang
ICCV 2019 oral, 2019
2702019
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
2552018
mmRotate: A rotated object detection benchmark using pytorch
Y Zhou, X Yang, G Zhang, J Wang, Y Liu, L Hou, X Jiang, X Liu, J Yan, ...
ACM Multimedia 2022 (arxiv 2204.13317), 2022
2542022
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
H Zhang, Q Wu, J Yan, D Wipf, PS Yu
NeurIPS 2021, 2021
2292021
The system can't perform the operation now. Try again later.
Articles 1–20