A fine-grained dataset and its efficient semantic segmentation for unstructured driving scenarios
KA Metzger, P Mortimer… - 2020 25th International …, 2021 - ieeexplore.ieee.org
Research in autonomous driving for unstructured environments suffers from a lack of
semantically labeled datasets compared to its urban counterpart. Urban and unstructured …
semantically labeled datasets compared to its urban counterpart. Urban and unstructured …
Robust 2D/3D vehicle parsing in arbitrary camera views for CVIS
We present a novel approach to robustly detect and perceive vehicles in different camera
views as part of a cooperative vehicle-infrastructure system (CVIS). Our formulation is …
views as part of a cooperative vehicle-infrastructure system (CVIS). Our formulation is …
Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation
Open-Vocabulary Part Segmentation (OVPS) is an emerging field for recognizing fine-
grained parts in unseen categories. We identify two primary challenges in OVPS:(1) the …
grained parts in unseen categories. We identify two primary challenges in OVPS:(1) the …
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation
Open-vocabulary part segmentation (OVPS) is an emerging research area focused on
segmenting fine-grained entities based on diverse and previously unseen vocabularies. Our …
segmenting fine-grained entities based on diverse and previously unseen vocabularies. Our …
IMIHCT: improved multi-stage image inpainting with hybrid CNN and transformer
T Ning, X Wang, H Ding - Pattern Analysis and Applications, 2025 - Springer
Aiming at problems such as the poor effect of large-hole image inpainting, the limitation of
local information reconstruction of the convolutional neural network, and a surge in …
local information reconstruction of the convolutional neural network, and a surge in …
Eyebirds: Enabling the Public to Recognize Water Birds at Hand
J Zhou, Y Wang, C Zhang, W Wu, Y Ji, Y Zou - Animals, 2022 - mdpi.com
Simple Summary Enabling the public to easily recognize water birds at hand has a positive
effect on wetland bird conservation. An attention mechanism-based deep convolution neural …
effect on wetland bird conservation. An attention mechanism-based deep convolution neural …
Deep kernelized network for fine-grained recognition
Abstract Convolutional Neural Networks (CNNs) are based on linear kernel at different
levels of the network. Linear kernels are not efficient, particularly, when the original data is …
levels of the network. Linear kernels are not efficient, particularly, when the original data is …
Rec2Real: Semantics-Guided Photo-Realistic Image Synthesis Using Rough Urban Reconstruction Models
We present a novel and effective photo-realistic image generation pipeline using the rough
3D reconstruction models from the Google Earth 3D map. Our goal is to transfer the images …
3D reconstruction models from the Google Earth 3D map. Our goal is to transfer the images …
StylePart: image-based shape part manipulation
Direct part-level manipulation of man-made shapes in an image is desired given its
simplicity. However, it is not intuitive given the existing manually created cuboid and cylinder …
simplicity. However, it is not intuitive given the existing manually created cuboid and cylinder …