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Jing Shi
Jing Shi
Research Scientist, Adobe
Verified email at adobe.com - Homepage
Title
Cited by
Cited by
Year
Audio-visual event localization in unconstrained videos
Y Tian, J Shi, B Li, Z Duan, C Xu
Proceedings of the European conference on computer vision (ECCV), 247-263, 2018
4832018
Boundary vibration control of variable length crane systems in two-dimensional space with output constraints
X He, W He, J Shi, C Sun
IEEE/ASME Transactions on Mechatronics 22 (5), 1952-1962, 2017
1932017
Instantbooth: Personalized text-to-image generation without test-time finetuning
J Shi, W Xiong, Z Lin, HJ Jung
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
1582024
Learning to generate scene graph from natural language supervision
Y Zhong, J Shi, J Yang, C Xu, Y Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
722021
Not all frames are equal: Weakly-supervised video grounding with contextual similarity and visual clustering losses
J Shi, J Xu, B Gong, C Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
512019
Selective Cl-decoration on nanocrystal facets of hematite for high-efficiency catalytic oxidation of cyclohexane: identification of the newly formed Cl–O as active sites
S Wu, Y He, C Wang, C Zhu, J Shi, Z Chen, Y Wan, F Hao, W Xiong, P Liu, ...
ACS applied materials & interfaces 12 (23), 26733-26745, 2020
362020
Learning by planning: Language-guided global image editing
J Shi, N Xu, Y Xu, T Bui, F Dernoncourt, C Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
292021
A simple baseline for weakly-supervised scene graph generation
J Shi, Y Zhong, N Xu, Y Li, C Xu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
282021
A benchmark and baseline for language-driven image editing
J Shi, N Xu, T Bui, F Dernoncourt, Z Wen, C Xu
Proceedings of the Asian Conference on Computer Vision, 2020
262020
Language-guided global image editing via cross-modal cyclic mechanism
W Jiang, N Xu, J Wang, C Gao, J Shi, Z Lin, S Liu
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
252021
Spaceedit: Learning a unified editing space for open-domain image color editing
J Shi, N Xu, H Zheng, A Smith, J Luo, C Xu
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2022
182022
Gan-em: Gan based em learning framework
W Zhao, S Wang, Z Xie, J Shi, C Xu
arXiv preprint arXiv:1812.00335, 2018
152018
Customize-a-video: One-shot motion customization of text-to-video diffusion models
Y Ren, Y Zhou, J Yang, J Shi, D Liu, F Liu, M Kwon, A Shrivastava
arXiv preprint arXiv:2402.14780, 2024
102024
Audio-visual event localization in the wild
Y Tian, J Shi, B Li, Z Duan, C Xu
IEEE Computer Society Conference on Computer Vision and Pattern Recognition …, 2019
82019
FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction
H Hua, J Shi, K Kafle, S Jenni, D Zhang, J Collomosse, S Cohen, J Luo
arXiv preprint arXiv:2404.14715, 2024
62024
How to make a blt sandwich? learning vqa towards understanding web instructional videos
S Wang, W Zhao, Z Kou, J Shi, C Xu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
52021
Learning continuous-time dynamics by stochastic differential networks
Y Liu, Y Xing, X Yang, X Wang, J Shi, D Jin, Z Chen
arXiv preprint arXiv:2006.06145, 2020
52020
VIXEN: Visual Text Comparison Network for Image Difference Captioning
A Black, J Shi, Y Fan, T Bui, J Collomosse
Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 846-854, 2024
32024
Anomaly crossing: New horizons for video anomaly detection as cross-domain few-shot learning
G Sun, Z Liu, L Wen, J Shi, C Xu
arXiv preprint arXiv:2112.06320, 2021
32021
Anomaly crossing: A new method for video anomaly detection as cross-domain few-shot learning
G Sun, Z Liu, L Wen, J Shi, C Xu
arXiv preprint arXiv:2112.06320, 2021
32021
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Articles 1–20