Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Xia, Beihao"'
Trajectory prediction is a crucial aspect of understanding human behaviors. Researchers have made efforts to represent socially interactive behaviors among pedestrians and utilize various networks to enhance prediction capability. Unfortunately, they
Externí odkaz:
http://arxiv.org/abs/2409.14984
This paper focuses on open-ended video question answering, which aims to find the correct answers from a large answer set in response to a video-related question. This is essentially a multi-label classification task, since a question may have multip
Externí odkaz:
http://arxiv.org/abs/2403.14430
Analyzing and forecasting trajectories of agents like pedestrians and cars in complex scenes has become more and more significant in many intelligent systems and applications. The diversity and uncertainty in socially interactive behaviors among a ri
Externí odkaz:
http://arxiv.org/abs/2310.05370
Recent deep neural networks (DNNs) have came to rely on vast amounts of training data, providing an opportunity for malicious attackers to exploit and contaminate the data to carry out backdoor attacks. However, existing backdoor attack methods make
Externí odkaz:
http://arxiv.org/abs/2306.08386
Autor:
Li, Ziqiang, Sun, Hong, Xia, Pengfei, Xia, Beihao, Rui, Xue, Zhang, Wei, Guo, Qinglang, Fu, Zhangjie, Li, Bin
Poisoning efficiency is crucial in poisoning-based backdoor attacks, as attackers aim to minimize the number of poisoning samples while maximizing attack efficacy. Recent studies have sought to enhance poisoning efficiency by selecting effective samp
Externí odkaz:
http://arxiv.org/abs/2306.08313
With the fast development of AI-related techniques, the applications of trajectory prediction are no longer limited to easier scenes and trajectories. More and more heterogeneous trajectories with different representation forms, such as 2D or 3D coor
Externí odkaz:
http://arxiv.org/abs/2304.05106
Transparent objects are widely used in industrial automation and daily life. However, robust visual recognition and perception of transparent objects have always been a major challenge. Currently, most commercial-grade depth cameras are still not goo
Externí odkaz:
http://arxiv.org/abs/2209.08455
Generative Adversarial Networks (GANs) have achieved remarkable achievements in image synthesis. These successes of GANs rely on large scale datasets, requiring too much cost. With limited training data, how to stable the training process of GANs and
Externí odkaz:
http://arxiv.org/abs/2204.08329
Autor:
Mao, Zimin, Chen, Shuiyan, Miao, Zhuang, Li, Heng, Xia, Beihao, Cai, Junzhe, Yuan, Wei, You, Xinge
Publikováno v:
In Computers & Security November 2024 146
Trajectory prediction aims to predict the movement trend of the agents like pedestrians, bikers, vehicles. It is helpful to analyze and understand human activities in crowded spaces and widely applied in many areas such as surveillance video analysis
Externí odkaz:
http://arxiv.org/abs/2202.08506