Zobrazeno 1 - 10
of 4 656
pro vyhledávání: '"Ma, Kai"'
Autor:
He, Runze, Ma, Kai, Huang, Linjiang, Huang, Shaofei, Gao, Jialin, Wei, Xiaoming, Dai, Jiao, Han, Jizhong, Liu, Si
Introducing user-specified visual concepts in image editing is highly practical as these concepts convey the user's intent more precisely than text-based descriptions. We propose FreeEdit, a novel approach for achieving such reference-based image edi
Externí odkaz:
http://arxiv.org/abs/2409.18071
While Text-to-Image (T2I) diffusion models excel at generating visually appealing images of individual instances, they struggle to accurately position and control the features generation of multiple instances. The Layout-to-Image (L2I) task was intro
Externí odkaz:
http://arxiv.org/abs/2409.08240
Patronizing and Condescending Language (PCL) is a form of discriminatory toxic speech targeting vulnerable groups, threatening both online and offline safety. While toxic speech research has mainly focused on overt toxicity, such as hate speech, micr
Externí odkaz:
http://arxiv.org/abs/2409.05005
Autor:
Zhang, Guozhen, Liu, Jingyu, Cao, Shengming, Zhao, Xiaotong, Zhao, Kevin, Ma, Kai, Wang, Limin
Recently, the remarkable success of pre-trained Vision Transformers (ViTs) from image-text matching has sparked an interest in image-to-video adaptation. However, most current approaches retain the full forward pass for each frame, leading to a high
Externí odkaz:
http://arxiv.org/abs/2408.06840
Inter-frame modeling is pivotal in generating intermediate frames for video frame interpolation (VFI). Current approaches predominantly rely on convolution or attention-based models, which often either lack sufficient receptive fields or entail signi
Externí odkaz:
http://arxiv.org/abs/2407.02315
Autor:
Ma, Kai, He, Lin-Yun
Weakly interacting fermion with the Standard Model particles is a promising candidate of the genuine dark matter. In this paper, we study signatures of the gluonic interactions of a dark fermion and a neutrino at hadron colliders and direct detection
Externí odkaz:
http://arxiv.org/abs/2405.20890
Transformer has shown promise in reinforcement learning to model time-varying features for obtaining generalized low-level robot policies on diverse robotics datasets in embodied learning. However, it still suffers from the issues of low data efficie
Externí odkaz:
http://arxiv.org/abs/2405.19885
Instead of the energy recoil signal at direct detection experiments, dark fermion appears always as missing energy at high energy colliders. For a fermionc dark sector particle coupled with quarks and neutrino via absorption operators, its production
Externí odkaz:
http://arxiv.org/abs/2405.16878
Autor:
Ma, Kai
Both the collider searches and direct detections are promising approaches to probe a fermionic dark matter. In this paper we study signatures of the four fermion contact operators involving a dark fermion, an electron and a quark pair. We show that t
Externí odkaz:
http://arxiv.org/abs/2404.06419
Autor:
Li, Hongwei Bran, Navarro, Fernando, Ezhov, Ivan, Bayat, Amirhossein, Das, Dhritiman, Kofler, Florian, Shit, Suprosanna, Waldmannstetter, Diana, Paetzold, Johannes C., Hu, Xiaobin, Wiestler, Benedikt, Zimmer, Lucas, Amiranashvili, Tamaz, Prabhakar, Chinmay, Berger, Christoph, Weidner, Jonas, Alonso-Basant, Michelle, Rashid, Arif, Baid, Ujjwal, Adel, Wesam, Ali, Deniz, Baheti, Bhakti, Bai, Yingbin, Bhatt, Ishaan, Cetindag, Sabri Can, Chen, Wenting, Cheng, Li, Dutand, Prasad, Dular, Lara, Elattar, Mustafa A., Feng, Ming, Gao, Shengbo, Huisman, Henkjan, Hu, Weifeng, Innani, Shubham, Jiat, Wei, Karimi, Davood, Kuijf, Hugo J., Kwak, Jin Tae, Le, Hoang Long, Lia, Xiang, Lin, Huiyan, Liu, Tongliang, Ma, Jun, Ma, Kai, Ma, Ting, Oksuz, Ilkay, Holland, Robbie, Oliveira, Arlindo L., Pal, Jimut Bahan, Pei, Xuan, Qiao, Maoying, Saha, Anindo, Selvan, Raghavendra, Shen, Linlin, Silva, Joao Lourenco, Spiclin, Ziga, Talbar, Sanjay, Wang, Dadong, Wang, Wei, Wang, Xiong, Wang, Yin, Xia, Ruiling, Xu, Kele, Yan, Yanwu, Yergin, Mert, Yu, Shuang, Zeng, Lingxi, Zhang, YingLin, Zhao, Jiachen, Zheng, Yefeng, Zukovec, Martin, Do, Richard, Becker, Anton, Simpson, Amber, Konukoglu, Ender, Jakab, Andras, Bakas, Spyridon, Joskowicz, Leo, Menze, Bjoern
Uncertainty in medical image segmentation tasks, especially inter-rater variability, arising from differences in interpretations and annotations by various experts, presents a significant challenge in achieving consistent and reliable image segmentat
Externí odkaz:
http://arxiv.org/abs/2405.18435