Search Results for author:
Found 20 papers, 7 papers with code
PlaceNav: Topological Navigation through Place Recognition
Recent results suggest that splitting topological navigation into robot-independent and robot-specific components improves navigation performance by enabling the robot-independent part to be trained with data collected by robots of different types.
Depth-Aware Image Compositing Model for Parallax Camera Motion Blur
The (forward) model produces realistic motion blur from a single image, depth map, and camera trajectory.
RGBD Object Tracking: An In-depth Review
Particularly, we are the first to provide depth quality evaluation and analysis of tracking results in depth-friendly scenarios in RGBD tracking.
Benchmarking Visual Localization for Autonomous Navigation
The experimental part of the paper studies the effects of four such variables by evaluating state-of-the-art visual localization methods as part of the motion planning module of an autonomous navigation stack.
State-Conditioned Adversarial Subgoal Generation
Hierarchical reinforcement learning (HRL) proposes to solve difficult tasks by performing decision-making and control at successively higher levels of temporal abstraction.
DepthTrack : Unveiling the Power of RGBD Tracking
RGBD (RGB plus depth) object tracking is gaining momentum as RGBD sensors have become popular in many application fields such as robotics. However, the best RGBD trackers are extensions of the state-of-the-art deep RGB trackers.
Neural Network Controller for Autonomous Pile Loading Revised
We have recently proposed two pile loading controllers that learn from human demonstrations: a neural network (NNet) [1] and a random forest (RF) controller [2].
Learning Anthropometry from Rendered Humans
To circumvent the data bottleneck, we introduce a new 3D scan dataset of 2, 675 female and 1, 474 male scans.
Fast Fourier Intrinsic Network
We address the problem of decomposing an image into albedo and shading.
A Benchmark for Temporal Color Constancy
The conventional approach is to use a single frame - shot frame - to estimate the scene illumination color.
DAL -- A Deep Depth-aware Long-term Tracker
In this work, we propose a deep depth-aware long-term tracker that achieves state-of-the-art RGBD tracking performance and is fast to run.
Anthropometric clothing measurements from 3D body scans
In the second stage, a pre-defined body model is fitted to the captured point cloud.
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed.
Object Pose Estimation in Robotics Revisited
The evaluation metric is based on non-parametric probability density that is estimated from samples of a real physical setup.
Flash Lightens Gray Pixels
In the real world, a scene is usually cast by multiple illuminants and herein we address the problem of spatial illumination estimation.
On Finding Gray Pixels
We propose a novel grayness index for finding gray pixels and demonstrate its effectiveness and efficiency in illumination estimation.
Performance Analysis and Robustification of Single-query 6-DoF Camera Pose Estimation
We consider a single-query 6-DoF camera pose estimation with reference images and a point cloud, i. e. the problem of estimating the position and orientation of a camera by using reference images and a point cloud.
Revisiting Gray Pixel for Statistical Illumination Estimation
We present a statistical color constancy method that relies on novel gray pixel detection and mean shift clustering.
Depth Masked Discriminative Correlation Filter
Depth information provides a strong cue for occlusion detection and handling, but has been largely omitted in generic object tracking until recently due to lack of suitable benchmark datasets and applications.
Convolutional Low-Resolution Fine-Grained Classification
Successful fine-grained image classification methods learn subtle details between visually similar (sub-)classes, but the problem becomes significantly more challenging if the details are missing due to low resolution.
