research
∙
09/19/2023
RGB-based Category-level Object Pose Estimation via Decoupled Metric Scale Recovery
While showing promising results, recent RGB-D camera-based category-leve...
share
research
∙
04/12/2023
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction
Direct optimization of interpolated features on multi-resolution voxel g...
research
∙
10/25/2022
CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo labeling for Optical Flow Estimation
Synthetic datasets are often used to pretrain end-to-end optical flow ne...
research
∙
07/18/2022
MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Self-supervised monocular depth estimation has seen significant progress...
research
∙
06/21/2022
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth
Multi-task learning (MTL) paradigm focuses on jointly learning two or mo...
research
∙
05/28/2022
RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
In this paper, we present a learning-based approach for multi-view stere...
research
∙
05/05/2022
CNN-Augmented Visual-Inertial SLAM with Planar Constraints
We present a robust visual-inertial SLAM system that combines the benefi...
research
∙
05/05/2022
FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras
In this paper, we deal with the problem of monocular depth estimation fo...
research
∙
05/03/2022
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping
We present a robust and accurate depth refinement system, named GeoRefin...
research
∙
03/22/2022
PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
We present a novel framework named PlaneMVS for 3D plane reconstruction ...
research
∙
03/12/2022
Deformable VisTR: Spatio temporal deformable attention for video instance segmentation
Video instance segmentation (VIS) task requires classifying, segmenting,...
research
∙
07/26/2021
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Self-supervised depth estimation for indoor environments is more challen...
research
∙
04/02/2021
Learning Transferable Kinematic Dictionary for 3D Human Pose and Shape Reconstruction
Estimating 3D human pose and shape from a single image is highly under-c...
research
∙
11/02/2020
Set Augmented Triplet Loss for Video Person Re-Identification
Modern video person re-identification (re-ID) machines are often trained...
research
∙
10/28/2020
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
Learning matching costs has been shown to be critical to the success of ...
research
∙
10/07/2020
Channel Recurrent Attention Networks for Video Pedestrian Retrieval
Full attention, which generates an attention value per element of the in...
research
∙
07/21/2020
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
Monocular visual odometry (VO) suffers severely from error accumulation ...
research
∙
07/02/2020
Understanding Road Layout from Videos as a Whole
In this paper, we address the problem of inferring the layout of complex...
research
∙
04/22/2020
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Classical monocular Simultaneous Localization And Mapping (SLAM) and the...
research
∙
07/30/2019
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM
Self-calibration of camera intrinsics and radial distortion has a long h...
research
∙
04/24/2019
Neural Collaborative Subspace Clustering
We introduce the Neural Collaborative Subspace Clustering, a neural mode...
research
∙
04/08/2019
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
In this paper, we present LidarStereoNet, the first unsupervised Lidar-s...
research
∙
04/08/2019
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes
Unsupervised deep learning for optical flow computation has achieved pro...
research
∙
11/02/2018
Scalable Deep k-Subspace Clustering
Subspace clustering algorithms are notorious for their scalability issue...
research
∙
09/08/2017
Deep Subspace Clustering Networks
We present a novel deep neural network architecture for unsupervised sub...
research
∙
07/17/2017
"Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views
Rigid structure-from-motion (RSfM) and non-rigid structure-from-motion (...
research
∙
07/17/2017
Non-Linear Subspace Clustering with Learned Low-Rank Kernels
In this paper, we present a kernel subspace clustering method that can h...
research
∙
03/01/2016
Robust Multi-body Feature Tracker: A Segmentation-free Approach
Feature tracking is a fundamental problem in computer vision, with appli...
research
∙
09/09/2015