Zobrazeno 1 - 10
of 1 088
pro vyhledávání: '"Li Bohan"'
Autor:
Doshi Siddharth, Ludescher Dominik, Karst Julian, Floess Moritz, Carlström Johan, Li Bohan, Mintz Hemed Nofar, Duh Yi-Shiou, Melosh Nicholas A., Hentschel Mario, Brongersma Mark, Giessen Harald
Publikováno v:
Nanophotonics, Vol 13, Iss 12, Pp 2271-2280 (2024)
The optical and electronic tunability of the conductive polymer poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) has enabled emerging applications as diverse as bioelectronics, flexible electronics, and micro- and nano-photonics.
Externí odkaz:
https://doaj.org/article/e2bf9f4a3dc748c695e9cdecb6fa91b6
Publikováno v:
口腔疾病防治, Vol 29, Iss 11, Pp 766-770 (2021)
Objective The purpose of this study was to explore the application value of digital surgery in the reconstruction of mandibular composite defects with a chimeric deep circumflex iliac artery perforator flap (DCIAPF). Methods Six patients with complex
Externí odkaz:
https://doaj.org/article/4a1666a5f22f4197a0f27406d21c0bb7
Autor:
Li, Hao, Qin, Roy, Zou, Zhengyu, He, Diqi, Li, Bohan, Dai, Bingquan, Zhang, Dingewn, Han, Junwei
Applying Gaussian Splatting to perception tasks for 3D scene understanding is becoming increasingly popular. Most existing works primarily focus on rendering 2D feature maps from novel viewpoints, which leads to an imprecise 3D language field with ou
Externí odkaz:
http://arxiv.org/abs/2412.17635
Autor:
Li, Bohan, Guan, Jiannan, Dou, Longxu, Feng, Yunlong, Wang, Dingzirui, Xu, Yang, Wang, Enbo, Chen, Qiguang, Wang, Bichen, Xu, Xiao, Zhang, Yimeng, Qin, Libo, Zhao, Yanyan, Zhu, Qingfu, Che, Wanxiang
The Myers-Briggs Type Indicator (MBTI) is one of the most influential personality theories reflecting individual differences in thinking, feeling, and behaving. MBTI personality detection has garnered considerable research interest and has evolved si
Externí odkaz:
http://arxiv.org/abs/2412.12510
Autor:
Li, Bohan, Jin, Xin, Wang, Jianan, Shi, Yukai, Sun, Yasheng, Wang, Xiaofeng, Ma, Zhuang, Xie, Baao, Ma, Chao, Yang, Xiaokang, Zeng, Wenjun
Recent diffusion models have demonstrated remarkable performance in both 3D scene generation and perception tasks. Nevertheless, existing methods typically separate these two processes, acting as a data augmenter to generate synthetic data for downst
Externí odkaz:
http://arxiv.org/abs/2412.11183
Camera-based 3D Semantic Occupancy Prediction (SOP) is crucial for understanding complex 3D scenes from limited 2D image observations. Existing SOP methods typically aggregate contextual features to assist the occupancy representation learning, allev
Externí odkaz:
http://arxiv.org/abs/2412.08243
Autor:
Li, Bohan, Guo, Jiazhe, Liu, Hongsi, Zou, Yingshuang, Ding, Yikang, Chen, Xiwu, Zhu, Hu, Tan, Feiyang, Zhang, Chi, Wang, Tiancai, Zhou, Shuchang, Zhang, Li, Qi, Xiaojuan, Zhao, Hao, Yang, Mu, Zeng, Wenjun, Jin, Xin
Generating high-fidelity, controllable, and annotated training data is critical for autonomous driving. Existing methods typically generate a single data form directly from a coarse scene layout, which not only fails to output rich data forms require
Externí odkaz:
http://arxiv.org/abs/2412.05435
This paper explores the optimal investment problem of a renewal risk model with generalized Erlang distributed interarrival times. We assume that the phases of the interarrival time can be observed. The price of the risky asset is driven by the CEV m
Externí odkaz:
http://arxiv.org/abs/2411.13111
Leveraging the flexible expressive ability of (Max)SMT and the powerful solving ability of SMT solvers, we propose a novel layout model named SMT-Layout. SMT-Layout is the first constraint-based layout model that can support real-time interaction for
Externí odkaz:
http://arxiv.org/abs/2411.12271
The auto-regressive architecture, like GPTs, is widely used in modern Text-to-Speech (TTS) systems. However, it incurs substantial inference time, particularly due to the challenges in the next-token prediction posed by lengthy sequences of speech to
Externí odkaz:
http://arxiv.org/abs/2410.21951