Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Baltrusaitis, Tadas"'
Our work addresses the problem of egocentric human pose estimation from downwards-facing cameras on head-mounted devices (HMD). This presents a challenging scenario, as parts of the body often fall outside of the image or are occluded. Previous solut
Externí odkaz:
http://arxiv.org/abs/2401.14785
Electrodermal activity (EDA) is considered a standard marker of sympathetic activity. However, traditional EDA measurement requires electrodes in steady contact with the skin. Can sympathetic arousal be measured using only an optical sensor, such as
Externí odkaz:
http://arxiv.org/abs/2311.06930
Autor:
Chai, Zenghao, Zhang, Tianke, He, Tianyu, Tan, Xu, Baltrušaitis, Tadas, Wu, HsiangTao, Li, Runnan, Zhao, Sheng, Yuan, Chun, Bian, Jiang
3D Morphable Models (3DMMs) demonstrate great potential for reconstructing faithful and animatable 3D facial surfaces from a single image. The facial surface is influenced by the coarse shape, as well as the static detail (e,g., person-specific appea
Externí odkaz:
http://arxiv.org/abs/2303.11225
Autor:
Hewitt, Charlie, Baltrušaitis, Tadas, Wood, Erroll, Petikam, Lohit, Florentin, Louis, Velasquez, Hanz Cuevas
Recent work has shown the benefits of synthetic data for use in computer vision, with applications ranging from autonomous driving to face landmark detection and reconstruction. There are a number of benefits of using synthetic data from privacy pres
Externí odkaz:
http://arxiv.org/abs/2301.01161
Autor:
Wang, Tengfei, Zhang, Bo, Zhang, Ting, Gu, Shuyang, Bao, Jianmin, Baltrusaitis, Tadas, Shen, Jingjing, Chen, Dong, Wen, Fang, Chen, Qifeng, Guo, Baining
This paper presents a 3D generative model that uses diffusion models to automatically generate 3D digital avatars represented as neural radiance fields. A significant challenge in generating such avatars is that the memory and processing costs in 3D
Externí odkaz:
http://arxiv.org/abs/2212.06135
Delivering immersive, 3D experiences for human communication requires a method to obtain 360 degree photo-realistic avatars of humans. To make these experiences accessible to all, only commodity hardware, like mobile phone cameras, should be necessar
Externí odkaz:
http://arxiv.org/abs/2210.11594
Autor:
Bae, Gwangbin, de La Gorce, Martin, Baltrusaitis, Tadas, Hewitt, Charlie, Chen, Dong, Valentin, Julien, Cipolla, Roberto, Shen, Jingjing
State-of-the-art face recognition models show impressive accuracy, achieving over 99.8% on Labeled Faces in the Wild (LFW) dataset. Such models are trained on large-scale datasets that contain millions of real human face images collected from the int
Externí odkaz:
http://arxiv.org/abs/2210.02579
Recent advances in synthesizing realistic faces have shown that synthetic training data can replace real data for various face-related computer vision tasks. A question arises: how important is realism? Is the pursuit of photorealism excessive? In th
Externí odkaz:
http://arxiv.org/abs/2210.03529
Autor:
McDuff, Daniel, Wander, Miah, Liu, Xin, Hill, Brian L., Hernandez, Javier, Lester, Jonathan, Baltrusaitis, Tadas
The use of cameras and computational algorithms for noninvasive, low-cost and scalable measurement of physiological (e.g., cardiac and pulmonary) vital signs is very attractive. However, diverse data representing a range of environments, body motions
Externí odkaz:
http://arxiv.org/abs/2206.04197
Autor:
Wood, Erroll, Baltrusaitis, Tadas, Hewitt, Charlie, Johnson, Matthew, Shen, Jingjing, Milosavljevic, Nikola, Wilde, Daniel, Garbin, Stephan, Raman, Chirag, Shotton, Jamie, Sharp, Toby, Stojiljkovic, Ivan, Cashman, Tom, Valentin, Julien
Landmarks often play a key role in face analysis, but many aspects of identity or expression cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces more accurately, landmarks are often combined with additional signals li
Externí odkaz:
http://arxiv.org/abs/2204.02776