Yibo Yang
Yibo Yang
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Expectation-maximization attention networks for semantic segmentation
X Li, Z Zhong, J Wu, Y Yang, Z Lin, H Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Convolutional neural networks with alternately updated clique
Y Yang, Z Zhong, T Shen, Z Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
X Li*, Y Yang*, Q Zhao, T Shen, Z Lin, H Liu
CVPR 2020, 2020
Joint sub-bands learning with clique structures for wavelet domain super-resolution
Z Zhong, T Shen, Y Yang, Z Lin, C Zhang
Advances in Neural Information Processing Systems 31, 165-175, 2018
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
Y Yang, H Li, X Li, Q Zhao, J Wu, Z Lin
AAAI 2020, 2019
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Y Yang, H Li, S You, F Wang, C Qian, Z Lin
NeurIPS 2020, 2020
Optimization Algorithm Inspired Deep Neural Network Structure Design
H Li*, Y Yang*, D Chen, Z Lin
ACML 2018, 2018
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
Y Yang, S You, H Li, F Wang, C Qian, Z Lin
CVPR 2021, 2021
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
Y Yang, J Wu, H Li, X Li, T Shen, Z Lin
AAAI 2020, 2019
Explicitly Learning Topology for Differentiable Neural Architecture Search
T Huang, S You, Y Yang, Z Tu, F Wang, C Qian, C Zhang
arXiv preprint arXiv:2011.09300, 2020
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation
H Yuan, X Li, Y Yang, G Cheng, J Zhang, Y Tong, L Zhang, D Tao
arXiv preprint arXiv:2112.02582, 2021
BoundarySqueeze: Image Segmentation as Boundary Squeezing
H He, X Li, Y Yang, G Cheng, Y Tong, L Weng, Z Lin, S Xiang
arXiv preprint arXiv:2105.11668, 2021
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
X Li, S Xu, Y Yang, G Cheng, Y Tong, D Tao
arXiv preprint arXiv:2204.04655, 2022
Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Y Yang, L Xie, S Chen, X Li, Z Lin, D Tao
arXiv preprint arXiv:2203.09081, 2022
TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers
Q Zhou, X Li, L He, Y Yang, G Cheng, Y Tong, L Ma, D Tao
arXiv preprint arXiv:2201.05047, 2022
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation
X Li, H Yuan, Y Yang, L Zhang, Y Tong, D Tao
ICCV Segmenting and Tracking Every Point and Pixel: 6th Workshop on …, 2021
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
J Zhang, X Li, Y Wang, C Wang, Y Yang, Y Liu, D Tao
arXiv preprint arXiv:2206.09325, 2022
Multi-Task Learning with Multi-query Transformer for Dense Prediction
Y Xu, X Li, H Yuan, Y Yang, J Zhang, Y Tong, L Zhang, D Tao
arXiv preprint arXiv:2205.14354, 2022
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning
L Xie, Y Yang, D Cai, X He
arXiv preprint arXiv:2204.08735, 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation
R Wang, Y Yang*, D Tao
CVPR 2022, 2022
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