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Found 8 papers, 6 papers with code
DG-Recon: Depth-Guided Neural 3D Scene Reconstruction
A key challenge in neural 3D scene reconstruction from monocular images is to fuse features back projected from various views without any depth or occlusion information.
MC-Calib: A generic and robust calibration toolbox for multi-camera systems
In this paper, we present MC-Calib, a novel and robust toolbox dedicated to the calibration of complex synchronized multi-camera systems using an arbitrary number of fiducial marker-based patterns.
A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity
Furthermore, in order to compute the motion similarity from these datasets, we propose a deep learning model that produces motion embeddings suitable for measuring the similarity between different motions of each human body part.
Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks
In this paper, we describe how to apply image-to-image translation techniques to medical blood smear data to generate new data samples and meaningfully increase small datasets.
Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution
Keypoint detection usually results in a large number of keypoints which are mostly clustered, redundant, and noisy.
Intelligent Assistant for People with Low Vision Abilities
This paper proposes a wearable system for visually impaired people that can be utilized to obtain an extensive feedback about their surrounding environment.
Light-weight place recognition and loop detection using road markings
In this paper, we propose an efficient algorithm for robust place recognition and loop detection using camera information only.
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
In this paper, we propose a unified end-to-end trainable multi-task network that jointly handles lane and road marking detection and recognition that is guided by a vanishing point under adverse weather conditions.
Ranked #1 on
Lane Detection
on Caltech Lanes Washington
