Yandong Li
Yandong Li
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NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Y Li, L Li, L Wang, T Zhang, B Gong
Proceedings of the 36th International Conference on Machine Learning, 2019
Vqs: Linking segmentations to questions and answers for supervised attention in vqa and question-focused semantic segmentation
C Gan, Y Li, H Li, C Sun, B Gong
Proceedings of the IEEE international conference on computer vision, 1811-1820, 2017
Stnet: Local and global spatial-temporal modeling for action recognition
D He, Z Zhou, C Gan, F Li, X Liu, Y Li, L Wang, S Wen
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8401-8408, 2019
Transferring robustness for graph neural network against poisoning attacks
X Tang, Y Li, Y Sun, H Yao, P Mitra, S Wang
Proceedings of the 13th International Conference on Web Search and Data …, 2020
Multimodal keyless attention fusion for video classification
X Long, C Gan, G Melo, X Liu, Y Li, F Li, S Wen
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Detecting anomaly in big data system logs using convolutional neural network
S Lu, X Wei, Y Li, L Wang
2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th …, 2018
Temporal modeling approaches for large-scale youtube-8m video understanding
F Li, C Gan, X Liu, Y Bian, X Long, Y Li, Z Li, J Zhou, S Wen
arXiv preprint arXiv:1707.04555, 2017
Depthwise convolution is all you need for learning multiple visual domains
Y Guo, Y Li, R Feris, L Wang, T Rosing
Proceedings of the AAAI Conference on Artificial Intelligence, 2019
Revisiting the effectiveness of off-the-shelf temporal modeling approaches for large-scale video classification
Y Bian, C Gan, X Liu, F Li, X Long, Y Li, H Qi, J Zhou, S Wen, Y Lin
arXiv preprint arXiv:1708.03805, 2017
MoViNets: Mobile Video Networks for Efficient Video Recognition
D Kondratyuk, L Yuan, Y Li, L Zhang, M Tan, M Brown, B Gong
CVPR 2021, 2021
How local is the local diversity? reinforcing sequential determinantal point processes with dynamic ground sets for supervised video summarization
Y Li, L Wang, T Yang, B Gong
Proceedings of the European Conference on Computer Vision (ECCV), 151-167, 2018
Improving Object Detection with Selective Self-supervised Self-training
Y Li, D Huang, D Qin, L Wang, B Gong
ECCV 2020, 2020
Joint modeling of dense and incomplete trajectories for citywide traffic volume inference
X Tang, B Gong, Y Yu, H Yao, Y Li, H Xie, X Wang
The World Wide Web Conference, 1806-1817, 2019
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
D Wang, Y Li, L Wang, B Gong
CVPR 2020, 2020
BachGAN: High-Resolution Image Synthesis from Salient Object Layout
Y Li, Y Cheng, Z Gan, L Yu, L Wang, J Liu
CVPR 2020, arXiv: 2003.11690, 2020
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
Y Guo, Y Li, L Wang, T Rosing
Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Ranking Neural Checkpoints
Y Li, X Jia, R Sang, Y Zhu, B Green, L Wang, B Gong
CVPR 2021, 2020
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
C Zhang, TY Pan, Y Li, H Hu, D Xuan, S Changpinyo, B Gong, WL Chao
2021 International Conference on Computer Vision, 2021
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
TY Pan, C Zhang, Y Li, H Hu, D Xuan, S Changpinyo, B Gong, WL Chao
2021 Conference on Neural Information Processing Systems, 2021
Attacking Lifelong Learning Models with Gradient Reversion
Y Guo, M Liu, Y Li, L Wang, T Yang, T Rosing
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