Search Results for author:
Found 4 papers, 3 papers with code
Clustering-Guided Class Activation for Weakly Supervised Semantic Segmentation
In this paper, we propose a novel class activation scheme that is able to uniformly highlight the whole object region.
Ranked #22 on
Weakly-Supervised Semantic Segmentation
on COCO 2014 val
Sampling is Matter: Point-guided 3D Human Mesh Reconstruction
Even though those approaches have shown the remarkable progress in 3D human mesh reconstruction, it is still difficult to directly infer the relationship between features, which are encoded from the 2D input image, and 3D coordinates of each vertex.
Ranked #19 on
Monocular 3D Human Pose Estimation
on Human3.6M
(using extra training data)
Towards Deep Learning-aided Wireless Channel Estimation and Channel State Information Feedback for 6G
Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great promise in various disciplines such as image classification and segmentation, speech recognition, language translation, among others.
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
To resolve this problem, we propose a simple but effective scheme by incorporating the Laplacian pyramid into the decoder architecture.
Ranked #32 on
Monocular Depth Estimation
on KITTI Eigen split
