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Found 15 papers, 5 papers with code
PeLiCal: Targetless Extrinsic Calibration via Penetrating Lines for RGB-D Cameras with Limited Co-visibility
The extrinsic calibration of these systems introduces additional complexities.
Camera Agnostic Two-Head Network for Ego-Lane Inference
Vision-based ego-lane inference using High-Definition (HD) maps is essential in autonomous driving and advanced driver assistance systems.
Unbiased Estimator for Distorted Conics in Camera Calibration
Although conics are more informative features than points, the loss of the conic property under distortion has critically limited the utility of conic features in camera calibration.
TRansPose: Large-Scale Multispectral Dataset for Transparent Object
Transparent objects are encountered frequently in our daily lives, yet recognizing them poses challenges for conventional vision sensors due to their unique material properties, not being well perceived from RGB or depth cameras.
Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging Labels
The insufficient number of annotated thermal infrared (TIR) image datasets not only hinders TIR image-based deep learning networks to have comparable performances to that of RGB but it also limits the supervised learning of TIR image-based tasks with challenging labels.
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation
Tackling these limitations, we present an ambiguity-aware 6D object pose estimation network, PrimA6D++, as a generic uncertainty prediction method.
ViViD++: Vision for Visibility Dataset
In this paper, we present a dataset capturing diverse visual data formats that target varying luminance conditions.
Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization
Finally, we present the proposed line descriptor and matching in a Point and Line Localization (PL-Loc).
Ranked #1 on
Homography Estimation
on Oxford and Paris
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP
Recent advances in deep learning have allowed depth estimation in full resolution from a single image.
PrimA6D: Rotational Primitive Reconstruction for Enhanced and Robust 6D Pose Estimation
In this paper, we introduce a rotational primitive prediction based 6D object pose estimation using a single image as an input.
DHSGAN: An End to End Dehazing Network for Fog and Smoke
In this paper we propose a novel end-to-end convolution dehazing architecture, called De-Haze and Smoke GAN (DHSGAN).
Sparse Depth Enhanced Direct Thermal-infrared SLAM Beyond the Visible Spectrum
This paper proposes a method to use sparse depth measurement for 6-DOF motion estimation by directly tracking under 14- bit raw measurement of the thermal camera.
DeepLO: Geometry-Aware Deep LiDAR Odometry
We incorporate the Iterated Closest Point (ICP) algorithm into a deep-learning framework and show the reliability of the proposed pipeline.
Road is Enough! Extrinsic Calibration of Non-overlapping Stereo Camera and LiDAR using Road Information
This paper presents a framework for the targetless extrinsic calibration of stereo cameras and Light Detection and Ranging (LiDAR) sensors with a non-overlapping Field of View (FOV).
Generic Camera Attribute Control using Bayesian Optimization
In this paper, we present an active and generic camera attribute control scheme using Bayesian optimization.
