Підписатись
Chengjiang Long
Chengjiang Long
Research Scientist at Meta Reality Labs (formerly Facebook Reality Labs)
Підтверджена електронна адреса в meta.com - Домашня сторінка
Назва
Посилання
Посилання
Рік
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
Z Liu, Y Nie, C Long, Q Zhang, G Li
Proceedings of ICCV, 13588-13597, 2021
311*2021
SGCN: Sparse graph convolution network for pedestrian trajectory prediction
L Shi, L Wang, C Long, S Zhou, M Zhou, Z Niu, G Hua
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2982021
Msr-gcn: Multi-scale residual graph convolution networks for human motion prediction
L Dang, Y Nie, C Long, Q Zhang, G Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2462021
Argan: Attentive recurrent generative adversarial network for shadow detection and removal
B Ding, C Long, L Zhang, C Xiao
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019
1682019
DOA-GAN: Dual-order attentive generative adversarial network for image copy-move forgery detection and localization
A Islam, C Long, A Basharat, A Hoogs
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1472020
Automated pig counting using deep learning
M Tian, H Guo, H Chen, Q Wang, C Long, Y Ma
Computers and Electronics in Agriculture 163, 104840, 2019
1462019
Doa-gan: Dual-order attentive generative adversarial network for image copy-move forgery detection and localization
A Islam, C Long, A Basharat, A Hoogs
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1442020
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
A Islam, C Long, RJ Radke
Proceedings of the AAAI Conference on Artificial Intelligence, 1637-1645, 2021
1402021
Progressively generating better initial guesses towards next stages for high-quality human motion prediction
T Ma, Y Nie, C Long, Q Zhang, G Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1312022
Drb-gan: A dynamic resblock generative adversarial network for artistic style transfer
W Xu, C Long, R Wang, G Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2021
1122021
Drb-gan: A dynamic resblock generative adversarial network for artistic style transfer
W Xu, C Long, R Wang, G Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2021
1122021
Drb-gan: A dynamic resblock generative adversarial network for artistic style transfer
W Xu, C Long, R Wang, G Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2021
1122021
Canet: A context-aware network for shadow removal
Z Chen, C Long, L Zhang, C Xiao
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1042021
Arshadowgan: Shadow generative adversarial network for augmented reality in single light scenes
D Liu, C Long, H Zhang, H Yu, C Xiao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020
1012020
Ris-gan: Explore residual and illumination with generative adversarial networks for shadow removal
L Zhang, C Long, X Zhang, C Xiao
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
962020
Active visual recognition with expertise estimation in crowdsourcing
C Long, G Hua, A Kapoor
Proceedings of the IEEE International Conference on Computer Vision, 3000-3007, 2013
922013
Multi-class Multi-annotator Active Learning with Robust Gaussian Process for Visual Recognition
C Long, G Hua
Computer Vision (ICCV), 2015 IEEE International Conference on, 2015
802015
A two-stage attentive network for single image super resolution
J Zhang, C Long, Y Wang, X Yang, H Mei, B Yin
IEEE Transactions on Circuits and Systems for Video Technology 1, 2021
732021
A two-stage attentive network for single image super resolution
J Zhang, C Long, Y Wang, X Yang, H Mei, B Yin
IEEE Transactions on Circuits and Systems for Video Technology 1, 2021
732021
A two-stage attentive network for single image super resolution
J Zhang, C Long, Y Wang, X Yang, H Mei, B Yin
IEEE Transactions on Circuits and Systems for Video Technology 1, 2021
732021
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