Search Results for author:
Found 11 papers, 2 papers with code
CLRerNet: Improving Confidence of Lane Detection with LaneIoU
Lane marker detection is a crucial component of the autonomous driving and driver assistance systems.
Ranked #1 on
Lane Detection
on CULane
End-to-End Monocular Vanishing Point Detection Exploiting Lane Annotations
Vanishing points (VPs) play a vital role in various computer vision tasks, especially for recognizing the 3D scenes from an image.
Prediction of Lane Number Using Results From Lane Detection
The lane number that the vehicle is traveling in is a key factor in intelligent vehicle fields.
Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video
The effectiveness of the approaches to predict 3D poses from 2D poses estimated in each frame of a video has been demonstrated for 3D human pose estimation.
Improving Multi-Person Pose Estimation using Label Correction
If a model is trained with data including such missing labels, the output of the model for the location, even though it is correct, is penalized as a false positive, which is likely to cause negative effects on the performance of the model.
Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks
Our method tackles the limitations by progressively increasing the resolution of both generated images and structural conditions during training.
Digital Watermarking for Deep Neural Networks
In this paper, we propose a digital watermarking technology for ownership authorization of deep neural networks.
Embedding Watermarks into Deep Neural Networks
Secondly, we propose a general framework to embed a watermark into model parameters using a parameter regularizer.
Adaptive Substring Extraction and Modified Local NBNN Scoring for Binary Feature-based Local Mobile Visual Search without False Positives
In this paper, we propose a stand-alone mobile visual search system based on binary features and the bag-of-visual words framework.
Image Retrieval with Fisher Vectors of Binary Features
Recently, the Fisher vector representation of local features has attracted much attention because of its effectiveness in both image classification and image retrieval.
Local Feature Detectors, Descriptors, and Image Representations: A Survey
With the advances in both stable interest region detectors and robust and distinctive descriptors, local feature-based image or object retrieval has become a popular research topic.
