Výsledky vyhledávání - "Zhang, Wenyao"

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Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation

Autor: Wang, Yunnan, Li, Ziqiang, Zhang, Zequn, Zhang, Wenyao, Xie, Baao, Liu, Xihui, Zeng, Wenjun, Jin, Xin

There has been exciting progress in generating images from natural language or layout conditions. However, these methods struggle to faithfully reproduce complex scenes due to the insufficient modeling of multiple objects and their relationships. To

Externí odkaz: http://arxiv.org/abs/2410.00447

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Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion

Autor: Li, Bohan, Deng, Jiajun, Zhang, Wenyao, Liang, Zhujin, Du, Dalong, Jin, Xin, Zeng, Wenjun

Camera-based 3D semantic scene completion (SSC) is pivotal for predicting complicated 3D layouts with limited 2D image observations. The existing mainstream solutions generally leverage temporal information by roughly stacking history frames to suppl

Externí odkaz: http://arxiv.org/abs/2407.02077

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Closed-Loop Unsupervised Representation Disentanglement with $\beta$-VAE Distillation and Diffusion Probabilistic Feedback

Autor: Jin, Xin, Li, Bohan, Xie, BAAO, Zhang, Wenyao, Liu, Jinming, Li, Ziqiang, Yang, Tao, Zeng, Wenjun

Representation disentanglement may help AI fundamentally understand the real world and thus benefit both discrimination and generation tasks. It currently has at least three unresolved core issues: (i) heavy reliance on label annotation and synthetic

Externí odkaz: http://arxiv.org/abs/2402.02346

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Simultaneous thermoosmotic and thermoelectric responses in nanoconfined electrolyte solutions: Effects of nanopore structures and membrane properties

Autor: Zhang, Wenyao, Farhan, Muhammad, Jiao, Kai, Qian, Fang, Guo, Panpan, Wang, Qiuwang, Yang, Charles Chun, Zhao, and Cunlu

Publikováno v: J. Colloid Interface Sci. 618 (2022) 333-351

Hypothesis: Nanofluidic systems provide an emerging and efficient platform for thermoelectric conversion and fluid pumping with low-grade heat energy. As a basis of their performance enhancement, the effects of the structures and properties of the na

Externí odkaz: http://arxiv.org/abs/2309.06654

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Ion steric effect induces giant enhancement of thermoelectric conversion in electrolyte-filled nanochannels

Autor: Zhang, Wenyao, Liu, Xinxi, Jiao, Kai, Wang, Qiuwang, Yang, Chun, Zhao, Cunlu

Ionic thermoelectricity in nanochannels has received increasing attention because of its advantages such as high Seebeck coefficient and low cost. However, most studies have focused on dilute simple electrolytes that neglect the effects of finite ion

Externí odkaz: http://arxiv.org/abs/2304.13308

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[CLS] Token is All You Need for Zero-Shot Semantic Segmentation

Autor: Wu, Letian, Zhang, Wenyao, Jiang, Tengping, Yang, Wankou, Jin, Xin, Zeng, Wenjun

In this paper, we propose an embarrassingly simple yet highly effective zero-shot semantic segmentation (ZS3) method, based on the pre-trained vision-language model CLIP. First, our study provides a couple of key discoveries: (i) the global tokens (a

Externí odkaz: http://arxiv.org/abs/2304.06212

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Thermoelectric effect and temperature-gradient-driven electrokinetic flow of electrolyte solutions in charged nanocapillaries

Autor: Zhang, Wenyao, Wang, Qiuwang, Zeng, Min, Zhao, Cunlu

Publikováno v: International Journal of Heat and Mass Transfer 143 (2019) 118569

A systematic theoretical study of thermoelectric effect and temperature-gradient-driven electrokinetic flow of electrolyte solutions in charged nanocapillaries is presented. The study is based on a semianalytical model developed by simultaneously sol

Externí odkaz: http://arxiv.org/abs/2203.14998

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