7 accepted papers
The cumulative distribution function (CDF) is fundamental due to its ability to reveal information about random variables, making it essential in studies that require privacy-preserving methods to protect sensitive data. This paper introduces a novel privacy-preserving CDF method inspired by the fun…
Image-based 3D generation has vast applications in robotics and gaming, where high-quality, diverse outputs and consistent 3D representations are crucial. However, existing methods have limitations: 3D diffusion models are limited by dataset scarcity and the absence of strong pre-trained priors, whi…
Existing Large Multimodal Models (LMMs) demonstrate excellent performance in handling visual tasks in everyday scenarios. However, they still face challenges in understanding structured images, such as flowcharts and organizational charts, which are characterized by text-rich and complex hierarchica…
With an auxiliary corpus (non-target speaker corpus) for model pre-training, Text-to-Speech (TTS) methods can generate high-quality speech with a limited target speaker corpus. However, this approach comes with expensive training costs. To overcome the challenge, a high-quality TTS method is propose…
Handwritten Mathematical Expression Recognition (HMER) is an important task in pattern recognition. It is a challenging task due to symbols resembling each other in appearance("z/2", "B/β") and the complex mathematical syntax. The encoder-decoder architecture has been widely used in recent HMER meth…
The availability of enormous event data with timestamps has aroused the study of Dynamic Knowledge Graphs (KGs). In dynamic KGs, temporal link prediction is an important task, which predicts future interactions between entities. Compared with conventional statistic link prediction tasks, temporal li…
We present a novel learning algorithm especially designed for challenging, large-scale classification problems in mobile robotics. Our method addresses two important aims: first it reduces the required amount of interaction with a human supervisor, which increases the level of autonomy of the learni…