2022. Depth-aware generative adversarial network for talking head video generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 3397–3406. [6] Richard Zhang, PhillipIsola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018. The unreasonable ...
Multi-modal Understanding and Generation for Object Tracking. Hong Zhu, Pingping Zhang, Lei Xue, and Guanglin Yuan. TCSVT 2024. [Paper] [Code] MugTracker One-Stream Stepwise Decreasing for Vision-Language Tracking. Guangtong Zhang, Bineng Zhong, Qihua Liang, Zhiyi Mo, Ning Li, Shuxiang Song...
Video file type: VIDEO_DATASET Folder of images type: FOLDER_DATASET Use the download scripts available in the folder scripts to download some of the following datasets. KITTI Datasets pySLAM code expects the following structure in the specified KITTI path folder (specified in the section KITTI_DAT...
generation set of particles; the cross-modal characteristics of each particle into a logistic regression classifier trained to obtain a confidence score observation likelihood model; particle filter method to obtain the probability of t-th frame posterior video sequence RGB-D, to give the desired ...
Feng, Y., et al.: Object-based 2D-to-3D video conversion for effective stereoscopic content generation in 3D-TV applications. IEEE Trans. Broadcast.57(2), 500–509 (2011) ArticleGoogle Scholar Ren, J., et al.: High-accuracy sub-pixel motion estimation from noisy images in Fourier domain...
generation set of particles; the cross-modal characteristics of each particle into a logistic regression classifier trained to obtain a confidence score observation likelihood model; particle filter method to obtain the probability of t-th frame posterior video sequence RGB-D, to give the desired ...