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PONet: Robust 3D Human Pose Estimation via Learning Orientations Only
Jue Wang, Shaoli Huang, Xinchao Wang +1
Conventional 3D human pose estimation relies on first detecting 2D body keypoints and then solving the 2D to 3D correspondence problem.Despite the promising results, this learning…
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski +4
Bayesian neural networks (BNNs) have become a principal approach to alleviate overconfident predictions in deep learning, but they often suffer from scaling issues due to a large n…
Spectral Complexity-scaled Generalization Bound of Complex-valued Neural Networks
Haowen Chen, Fengxiang He, Shiye Lei +1
Complex-valued neural networks (CVNNs) have been widely applied to various fields, especially signal processing and image recognition. However, few works focus on the generalizatio…
Video Frame Interpolation without Temporal Priors
Youjian Zhang, Chaoyue Wang, Dacheng Tao
Video frame interpolation, which aims to synthesize non-exist intermediate frames in a video sequence, is an important research topic in computer vision. Existing video frame inter…
Self-Ensembling GAN for Cross-Domain Semantic Segmentation
Yonghao Xu, Fengxiang He, Bo Du +2
Deep neural networks (DNNs) have greatly contributed to the performance gains in semantic segmentation. Nevertheless, training DNNs generally requires large amounts of pixel-level…
Recurrent Glimpse-based Decoder for Detection with Transformer
Zhe Chen, Jing Zhang, Dacheng Tao
Although detection with Transformer (DETR) is increasingly popular, its global attention modeling requires an extremely long training period to optimize and achieve promising detec…