Zobrazeno 1 - 10
of 2 054
pro vyhledávání: '"Torr P"'
Autor:
Yang, Ziyi, Zhang, Zaibin, Zheng, Zirui, Jiang, Yuxian, Gan, Ziyue, Wang, Zhiyu, Ling, Zijian, Chen, Jinsong, Ma, Martz, Dong, Bowen, Gupta, Prateek, Hu, Shuyue, Yin, Zhenfei, Li, Guohao, Jia, Xu, Wang, Lijun, Ghanem, Bernard, Lu, Huchuan, Ouyang, Wanli, Qiao, Yu, Torr, Philip, Shao, Jing
There has been a growing interest in enhancing rule-based agent-based models (ABMs) for social media platforms (i.e., X, Reddit) with more realistic large language model (LLM) agents, thereby allowing for a more nuanced study of complex systems. As a
Externí odkaz:
http://arxiv.org/abs/2411.11581
Autor:
Hemmat, Arshia, Davies, Adam, Lamb, Tom A., Yuan, Jianhao, Torr, Philip, Khakzar, Ashkan, Pinto, Francesco
Despite the importance of shape perception in human vision, early neural image classifiers relied less on shape information for object recognition than other (often spurious) features. While recent research suggests that current large Vision-Language
Externí odkaz:
http://arxiv.org/abs/2411.06287
Autor:
Buoso, Davide, Robinson, Luke, Averta, Giuseppe, Torr, Philip, Franzmeyer, Tim, De Martini, Daniele
This study explores the potential of off-the-shelf Vision-Language Models (VLMs) for high-level robot planning in the context of autonomous navigation. Indeed, while most of existing learning-based approaches for path planning require extensive task-
Externí odkaz:
http://arxiv.org/abs/2411.04006
Autor:
Mohamed, Youssef, Li, Runjia, Ahmad, Ibrahim Said, Haydarov, Kilichbek, Torr, Philip, Church, Kenneth Ward, Elhoseiny, Mohamed
Research in vision and language has made considerable progress thanks to benchmarks such as COCO. COCO captions focused on unambiguous facts in English; ArtEmis introduced subjective emotions and ArtELingo introduced some multilinguality (Chinese and
Externí odkaz:
http://arxiv.org/abs/2411.03769
Despite the success of Instruction Tuning (IT) in training large language models (LLMs) to perform arbitrary user-specified tasks, these models often still leverage spurious or biased features learned from their training data, leading to undesired be
Externí odkaz:
http://arxiv.org/abs/2410.22944
Autor:
Lakara, Kumud, Sock, Juil, Rupprecht, Christian, Torr, Philip, Collomosse, John, de Witt, Christian Schroeder
One of the most challenging forms of misinformation involves the out-of-context (OOC) use of images paired with misleading text, creating false narratives. Existing AI-driven detection systems lack explainability and require expensive fine-tuning. We
Externí odkaz:
http://arxiv.org/abs/2410.20140
Autor:
Lei, Yu, Liu, Hao, Xie, Chengxing, Liu, Songjia, Yin, Zhiyu, Chen, Canyu, Li, Guohao, Torr, Philip, Wu, Zhen
AI alignment is a pivotal issue concerning AI control and safety. It should consider not only value-neutral human preferences but also moral and ethical considerations. In this study, we introduced FairMindSim, which simulates the moral dilemma throu
Externí odkaz:
http://arxiv.org/abs/2410.10398
Autor:
Marro, Samuele, La Malfa, Emanuele, Wright, Jesse, Li, Guohao, Shadbolt, Nigel, Wooldridge, Michael, Torr, Philip
Communication is a prerequisite for collaboration. When scaling networks of AI-powered agents, communication must be versatile, efficient, and portable. These requisites, which we refer to as the Agent Communication Trilemma, are hard to achieve in l
Externí odkaz:
http://arxiv.org/abs/2410.11905
Autor:
Deng, Qianyi, Deb, Oishi, Patel, Amir, Rupprecht, Christian, Torr, Philip, Trigoni, Niki, Markham, Andrew
Animal pose estimation (APE) aims to locate the animal body parts using a diverse array of sensor and modality inputs, which is crucial for research across neuroscience, biomechanics, and veterinary medicine. By evaluating 178 papers since 2013, APE
Externí odkaz:
http://arxiv.org/abs/2410.09312
Autor:
Yang, Ling, Zhang, Zixiang, Han, Junlin, Zeng, Bohan, Li, Runjia, Torr, Philip, Zhang, Wentao
Generating high-quality 3D assets from textual descriptions remains a pivotal challenge in computer graphics and vision research. Due to the scarcity of 3D data, state-of-the-art approaches utilize pre-trained 2D diffusion priors, optimized through S
Externí odkaz:
http://arxiv.org/abs/2410.09009