Zobrazeno 1 - 10
of 2 507
pro vyhledávání: '"Pan, Jia"'
Autor:
Liu, Chenyu, Pan, Jia, Hu, Jinshui, Yin, Baocai, Yin, Bing, Chen, Mingjun, Liu, Cong, Du, Jun, Liu, Qingfeng
Recently, Handwritten Mathematical Expression Recognition (HMER) has gained considerable attention in pattern recognition for its diverse applications in document understanding. Current methods typically approach HMER as an image-to-sequence generati
Externí odkaz:
http://arxiv.org/abs/2407.11380
Autor:
Chen, Guanqi, Yang, Lei, Jia, Ruixing, Hu, Zhe, Chen, Yizhou, Zhang, Wei, Wang, Wenping, Pan, Jia
Enabling robotic agents to perform complex long-horizon tasks has been a long-standing goal in robotics and artificial intelligence (AI). Despite the potential shown by large language models (LLMs), their planning capabilities remain limited to short
Externí odkaz:
http://arxiv.org/abs/2407.09792
Autor:
Yang, Linhan, Yang, Lei, Sun, Haoran, Zhang, Zeqing, He, Haibin, Wan, Fang, Song, Chaoyang, Pan, Jia
Fabric manipulation dynamically is commonly seen in manufacturing and domestic settings. While dynamically manipulating a fabric piece to reach a target state is highly efficient, this task presents considerable challenges due to the varying properti
Externí odkaz:
http://arxiv.org/abs/2406.14136
Bimanual manipulation tasks typically involve multiple stages which require efficient interactions between two arms, posing step-wise and stage-wise challenges for imitation learning systems. Specifically, failure and delay of one step will broadcast
Externí odkaz:
http://arxiv.org/abs/2406.10093
Analyzing time series of fluxes from stars, known as stellar light curves, can reveal valuable information about stellar properties. However, most current methods rely on extracting summary statistics, and studies using deep learning have been limite
Externí odkaz:
http://arxiv.org/abs/2405.17156
In this paper, we propose a variance-preserving interpolation framework to improve diffusion models for single-channel speech enhancement (SE) and automatic speech recognition (ASR). This new variance-preserving interpolation diffusion model (VPIDM)
Externí odkaz:
http://arxiv.org/abs/2405.16952
Despite recent advancements in speech generation with text prompt providing control over speech style, voice attributes in synthesized speech remain elusive and challenging to control. This paper introduces a novel task: voice attribute editing with
Externí odkaz:
http://arxiv.org/abs/2404.08857
In robotic insertion tasks where the uncertainty exceeds the allowable tolerance, a good search strategy is essential for successful insertion and significantly influences efficiency. The commonly used blind search method is time-consuming and does n
Externí odkaz:
http://arxiv.org/abs/2404.03943
Microscopic traffic simulation plays a crucial role in transportation engineering by providing insights into individual vehicle behavior and overall traffic flow. However, creating a realistic simulator that accurately replicates human driving behavi
Externí odkaz:
http://arxiv.org/abs/2403.17601
The management of mixed traffic that consists of robot vehicles (RVs) and human-driven vehicles (HVs) at complex intersections presents a multifaceted challenge. Traditional signal controls often struggle to adapt to dynamic traffic conditions and he
Externí odkaz:
http://arxiv.org/abs/2403.14879