Zobrazeno 1 - 10
of 49 991
pro vyhledávání: '"An, Jingyu"'
Generative artificial intelligence (GAI), known for its powerful capabilities in image and text processing, also holds significant promise for the design and performance enhancement of future wireless networks. In this article, we explore the transfo
Externí odkaz:
http://arxiv.org/abs/2408.04835
Emotional Video Captioning is an emerging task that aims to describe factual content with the intrinsic emotions expressed in videos. The essential of the EVC task is to effectively perceive subtle and ambiguous visual emotional cues during the capti
Externí odkaz:
http://arxiv.org/abs/2408.03006
The action anticipation task refers to predicting what action will happen based on observed videos, which requires the model to have a strong ability to summarize the present and then reason about the future. Experience and common sense suggest that
Externí odkaz:
http://arxiv.org/abs/2408.02769
Autor:
Song, Jingyu, Bagoren, Onur, Andigani, Razan, Sethuraman, Advaith Venkatramanan, Skinner, Katherine
Significant work has been done on advancing localization and mapping in underwater environments. Still, state-of-the-art methods are challenged by low-texture environments, which is common for underwater settings. This makes it difficult to use exist
Externí odkaz:
http://arxiv.org/abs/2408.01569
Autor:
Ding, Peng, Wu, Jingyu, Kuang, Jun, Ma, Dan, Cao, Xuezhi, Cai, Xunliang, Chen, Shi, Chen, Jiajun, Huang, Shujian
Multi-modal Large Language Models (MLLMs) have demonstrated remarkable performance on various visual-language understanding and generation tasks. However, MLLMs occasionally generate content inconsistent with the given images, which is known as "hall
Externí odkaz:
http://arxiv.org/abs/2408.01355
Deep neural networks (DNNs) have been applied in many computer vision tasks and achieved state-of-the-art (SOTA) performance. However, misclassification will occur when DNNs predict adversarial examples which are created by adding human-imperceptible
Externí odkaz:
http://arxiv.org/abs/2407.19981
The recent rise of EEG-based end-to-end deep learning models presents a significant challenge in elucidating how these models process raw EEG signals and generate predictions in the frequency domain. This challenge limits the transparency and credibi
Externí odkaz:
http://arxiv.org/abs/2407.17983
Autor:
Wang, Zeyu, Lin, Jingyu, Qian, Yifei, Huang, Yi, Tian, Shicen, Chai, Bosong, Deng, Juncan, Du, Lan, Chen, Cunjian, Guo, Yufei, Huang, Kejie
Diffusion models have made significant strides in language-driven and layout-driven image generation. However, most diffusion models are limited to visible RGB image generation. In fact, human perception of the world is enriched by diverse viewpoints
Externí odkaz:
http://arxiv.org/abs/2407.15488
Autor:
Ma, Dizhi, Hu, Xiyun, Shi, Jingyu, Patel, Mayank, Jain, Rahul, Liu, Ziyi, Zhu, Zhengzhe, Ramani, Karthik
Table tennis stroke training is a critical aspect of player development. We designed a new augmented reality (AR) system, avaTTAR, for table tennis stroke training. The system provides both "on-body" (first-person view) and "detached" (third-person v
Externí odkaz:
http://arxiv.org/abs/2407.15373
This study introduces a novel Remote Sensing (RS) Urban Prediction (UP) task focused on future urban planning, which aims to forecast urban layouts by utilizing information from existing urban layouts and planned change maps. To address the proposed
Externí odkaz:
http://arxiv.org/abs/2407.11578