オープン アクセスを義務付けられた論文 - Shih-Fu Chang詳細
一般には非公開: 2 件
Hashing A Face
S Karaman, SF Chang
Deep Learning-Based Face Analytics, 137-165, 2021
委任: US Department of Defense, US Office of the Director of National Intelligence
Local Spatiotemporal Features for Robust Content-Based Video Copy Detection
G Willems, T Tuytelaars, L Van Gool
TV Content Analysis: Techniques and Applications, 1, 2012
委任: Research Foundation (Flanders)
一般公開: 72 件
Unsupervised embedding learning via invariant and spreading instance feature
M Ye, X Zhang, PC Yuen, SF Chang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
委任: US Department of Defense, Research Grants Council, Hong Kong
A survey of multimodal sentiment analysis
M Soleymani, D Garcia, B Jou, B Schuller, SF Chang, M Pantic
Image and Vision Computing 65, 3-14, 2017
委任: Swiss National Science Foundation, European Commission
Learning to Hash for Indexing Big Data - A Survey
J Wang, W Liu, S Kumar, SF Chang
arXiv preprint arXiv:1509.05472, 2015
委任: National Natural Science Foundation of China
Detecting and simulating artifacts in gan fake images
X Zhang, S Karaman, SF Chang
2019 IEEE international workshop on information forensics and security (WIFS …, 2019
委任: US Department of Defense
Exploiting feature and class relationships in video categorization with regularized deep neural networks
YG Jiang, Z Wu, J Wang, X Xue, SF Chang
IEEE transactions on pattern analysis and machine intelligence 40 (2), 352-364, 2017
委任: National Natural Science Foundation of China
Zero-shot visual recognition using semantics-preserving adversarial embedding networks
L Chen, H Zhang, J Xiao, W Liu, SF Chang
Proceedings of the IEEE conference on computer vision and pattern …, 2018
委任: National Natural Science Foundation of China
Bridging knowledge graphs to generate scene graphs
A Zareian, S Karaman, SF Chang
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
委任: US Department of Defense
Multi-granularity generator for temporal action proposal
Y Liu, L Ma, Y Zhang, W Liu, SF Chang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
委任: National Natural Science Foundation of China
Counterfactual critic multi-agent training for scene graph generation
L Chen, H Zhang, J Xiao, X He, S Pu, SF Chang
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
委任: National Natural Science Foundation of China
Image popularity prediction in social media using sentiment and context features
F Gelli, T Uricchio, M Bertini, A Del Bimbo, SF Chang
Proceedings of the 23rd ACM international conference on Multimedia, 907-910, 2015
委任: Government of Italy
Meta faster r-cnn: Towards accurate few-shot object detection with attentive feature alignment
G Han, S Huang, J Ma, Y He, SF Chang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 780-789, 2022
委任: US Office of the Director of National Intelligence
Few-shot object detection with fully cross-transformer
G Han, J Ma, S Huang, L Chen, SF Chang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
委任: US Department of Defense
Low-shot learning via covariance-preserving adversarial augmentation networks
H Gao, Z Shou, A Zareian, H Zhang, SF Chang
Advances in Neural Information Processing Systems 31, 2018
委任: US Department of Defense
Learning spread-out local feature descriptors
X Zhang, FX Yu, S Kumar, SF Chang
Proceedings of the IEEE international conference on computer vision, 4595-4603, 2017
委任: US Department of Defense
Learning discriminative and transformation covariant local feature detectors
X Zhang, FX Yu, S Karaman, SF Chang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
委任: US Department of Defense
Clip-event: Connecting text and images with event structures
M Li, R Xu, S Wang, L Zhou, X Lin, C Zhu, M Zeng, H Ji, SF Chang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
委任: US Department of Defense
Query adaptive few-shot object detection with heterogeneous graph convolutional networks
G Han, Y He, S Huang, J Ma, SF Chang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
委任: US Office of the Director of National Intelligence
Language models with image descriptors are strong few-shot video-language learners
Z Wang, M Li, R Xu, L Zhou, J Lei, X Lin, S Wang, Z Yang, C Zhu, ...
Advances in Neural Information Processing Systems 35, 8483-8497, 2022
委任: US Department of Defense
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