Zobrazeno 1 - 10
of 1 103
pro vyhledávání: '"Li Bohan"'
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
Autor:
Deng, Linger, Liu, Yuliang, Li, Bohan, Luo, Dongliang, Wu, Liang, Zhang, Chengquan, Lyu, Pengyuan, Zhang, Ziyang, Zhang, Gang, Ding, Errui, Zhu, Yingying, Bai, Xiang
Existing Large Multimodal Models (LMMs) struggle with mathematical geometric reasoning due to a lack of high-quality image-text paired data. Current geometric data generation approaches, which apply preset templates to generate geometric data or use
Externí odkaz:
http://arxiv.org/abs/2410.17885
The high-pressure behavior of silicon telluride (Si2Te3), a two-dimensional (2D) layered material, was investigated using synchrotron X-ray powder diffraction in a diamond anvil cell to 11.5 GPa coupled with first-principles theory. Si2Te3 undergoes
Externí odkaz:
http://arxiv.org/abs/2410.06323