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pro vyhledávání: '"Liu, Yating"'
Autor:
Lu, Yan, Ma, Xinzhu, Yang, Lei, Zhang, Tianzhu, Liu, Yating, Chu, Qi, He, Tong, Li, Yonghui, Ouyang, Wanli
Geometry plays a significant role in monocular 3D object detection. It can be used to estimate object depth by using the perspective projection between object's physical size and 2D projection in the image plane, which can introduce mathematical prio
Externí odkaz:
http://arxiv.org/abs/2310.15624
The probabilistic Latent Semantic Indexing model assumes that the expectation of the corpus matrix is low-rank and can be written as the product of a topic-word matrix and a word-document matrix. In this paper, we study the estimation of the topic-wo
Externí odkaz:
http://arxiv.org/abs/2310.06730
Text-based Person Retrieval (TPR) aims to retrieve the target person images given a textual query. The primary challenge lies in bridging the substantial gap between vision and language modalities, especially when dealing with limited large-scale dat
Externí odkaz:
http://arxiv.org/abs/2309.09496
Autor:
Liu, Yating
Drone intrusions have been reported more frequently these years as drones become more accessible in the market. The abuse of drones puts threats to public and individual safety and privacy. Traditional anti-drone systems use radio-frequency sensors w
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-324206
Autor:
Hoffmann, Marc, Liu, Yating
We prove optimal convergence results of a stochastic particle method for computing the classical solution of a multivariate McKean-Vlasov equation, when the measure variable is in the drift, following the classical approach of [BT97, AKH02]. Our meth
Externí odkaz:
http://arxiv.org/abs/2305.06876
Clothes-invariant feature extraction is critical to the clothes-changing person re-identification (CC-ReID). It can provide discriminative identity features and eliminate the negative effects caused by the confounder--clothing changes. But we argue t
Externí odkaz:
http://arxiv.org/abs/2305.06145
Autor:
Xie, Wen, Chen, Chunhai, Yang, Zezhong, Guo, Litao, Yang, Xin, Wang, Dan, Chen, Ming, Huang, Jinqun, Wen, Yanan, Zeng, Yang, Liu, Yating, Xia, Jixing, Tian, Lixia, Cui, Hongying, Wu, Qingjun, Wang, Shaoli, Xu, Baoyun, Li, Xianchun, Tan, Xinqiu, Ghanim, Murad, Qiu, Baoli, Pan, Huipeng, Chu, Dong, Delatte, Helene, Maruthi, M. N., Ge, Feng, Zhou, Xueping, Wang, Xiaowei, Wan, Fanghao, Du, Yuzhou, Luo, Chen, Yan, Fengming, Preisser, Evan L., Jiao, Xiaoguo, Coates, Brad S., Zhao, Jinyang, Gao, Qiang, Xia, Jinquan, Yin, Ye, Liu, Yong, Brown, Judith K., Zhou, Xuguo 'Joe', Zhang, Youjun
The sweetpotato whitefly Bemisia tabaci is a highly destructive agricultural and ornamental crop pest. It damages host plants through both phloem feeding and vectoring plant pathogens. Introductions of B. tabaci are difficult to quarantine and eradic
Externí odkaz:
http://hdl.handle.net/10150/624730
http://arizona.openrepository.com/arizona/handle/10150/624730
http://arizona.openrepository.com/arizona/handle/10150/624730
Autor:
Liu, Yating
Publikováno v:
ESAIM: Mathematical Modelling and Numerical Analysis, 58(2), 571-612 (2024)
In this paper, we study three numerical schemes for the McKean-Vlasov equation \[\begin{cases} \;dX_t=b(t, X_t, \mu_t) \, dt+\sigma(t, X_t, \mu_t) \, dB_t,\: \\ \;\forall\, t\in[0,T],\;\mu_t \text{ is the probability distribution of }X_t, \end{cases}
Externí odkaz:
http://arxiv.org/abs/2212.14853
Autor:
Bernou, Armand, Liu, Yating
We present the particle method for simulating the solution to the path-dependent McKean-Vlasov equation, in which both the drift and the diffusion coefficients depend on the whole trajectory of the process up to the current time t, as well as on the
Externí odkaz:
http://arxiv.org/abs/2211.03869
Autor:
Li, Xulin, Lu, Yan, Liu, Bin, Liu, Yating, Yin, Guojun, Chu, Qi, Huang, Jinyang, Zhu, Feng, Zhao, Rui, Yu, Nenghai
Graph-based models have achieved great success in person re-identification tasks recently, which compute the graph topology structure (affinities) among different people first and then pass the information across them to achieve stronger features. Bu
Externí odkaz:
http://arxiv.org/abs/2208.00967