230 citations · 1.1k across the 84 of their papers we have counts for
14 papers · 1 filter
Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps
Liyuan Pan, Yuchao Dai, Miaomiao Liu +1
We aim at predicting a complete and high-resolution depth map from incomplete, sparse and noisy depth measurements. Existing methods handle this problem either by exploiting variou…
Self-Supervised Learning for Stereo Matching with Self-Improving Ability
Yiran Zhong, Yuchao Dai, Hongdong Li
Exiting deep-learning based dense stereo matching methods often rely on ground-truth disparity maps as the training signals, which are however not always available in many situatio…
Deep Edge-Aware Saliency Detection
Jing Zhang, Yuchao Dai, Fatih Porikli +1
There has been profound progress in visual saliency thanks to the deep learning architectures, however, there still exist three major challenges that hinder the detection performan…
Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum Inference
Bo Li, Yuchao Dai, Mingyi He
Monocular depth estimation is a challenging task in complex compositions depicting multiple objects of diverse scales. Albeit the recent great progress thanks to the deep convoluti…
Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames
Suryansh Kumar, Yuchao Dai, Hongdong Li
This paper proposes a new approach for monocular dense 3D reconstruction of a complex dynamic scene from two perspective frames. By applying superpixel over-segmentation to the ima…
"Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views
Pan Ji, Hongdong Li, Yuchao Dai +1
Rigid structure-from-motion (RSfM) and non-rigid structure-from-motion (NRSfM) have long been treated in the literature as separate (different) problems. Inspired by a previous wor…
Pixel-variant Local Homography for Fisheye Stereo Rectification Minimizing Resampling Distortion
Dingfu Zhou, Yuchao Dai, Hongdong Li
Large field-of-view fisheye lens cameras have attracted more and more researchers' attention in the field of robotics. However, there does not exist a convenient off-the-shelf ster…
Dense Non-rigid Structure-from-Motion Made Easy - A Spatial-Temporal Smoothness based Solution
Yuchao Dai, Huizhong Deng, Mingyi He
This paper proposes a simple spatial-temporal smoothness based method for solving dense non-rigid structure-from-motion (NRSfM). First, we revisit the temporal smoothness and demon…
Integrated Deep and Shallow Networks for Salient Object Detection
Jing Zhang, Bo Li, Yuchao Dai +2
Deep convolutional neural network (CNN) based salient object detection methods have achieved state-of-the-art performance and outperform those unsupervised methods with a wide marg…
Spatial-Temporal Union of Subspaces for Multi-body Non-rigid Structure-from-Motion
Suryansh Kumar, Yuchao Dai, Hongdong Li
Non-rigid structure-from-motion (NRSfM) has so far been mostly studied for recovering 3D structure of a single non-rigid/deforming object. To handle the real world challenging mult…
Single image depth estimation by dilated deep residual convolutional neural network and soft-weight-sum inference
Bo Li, Yuchao Dai, Huahui Chen +1
This paper proposes a new residual convolutional neural network (CNN) architecture for single image depth estimation. Compared with existing deep CNN based methods, our method achi…
Skeleton Boxes: Solving skeleton based action detection with a single deep convolutional neural network
Bo Li, Huahui Chen, Yucheng Chen +2
Action recognition from well-segmented 3D skeleton video has been intensively studied. However, due to the difficulty in representing the 3D skeleton video and the lack of training…
Simultaneous Stereo Video Deblurring and Scene Flow Estimation
Liyuan Pan, Yuchao Dai, Miaomiao Liu +1
Videos for outdoor scene often show unpleasant blur effects due to the large relative motion between the camera and the dynamic objects and large depth variations. Existing works t…
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn
Bo Li, Mingyi He, Xuelian Cheng +2
This paper presents an image classification based approach for skeleton-based video action recognition problem. Firstly, A dataset independent translation-scale invariant image map…