Semantic content-based image retrieval: A comprehensive study

A Alzu'bi, A Amira, N Ramzan - Journal of Visual Communication and …, 2015 - Elsevier
The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for developing highly effective retrieval systems to satisfy …

Temporal cycle-consistency learning

D Dwibedi, Y Aytar, J Tompson… - Proceedings of the …, 2019 - openaccess.thecvf.com
We introduce a self-supervised representation learning method based on the task of
temporal alignment between videos. The method trains a network using temporal cycle …

Syncspeccnn: Synchronized spectral cnn for 3d shape segmentation

L Yi, H Su, X Guo, LJ Guibas - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
In this paper, we study the problem of semantic annotation on 3D models that are
represented as shape graphs. A functional view is taken to represent localized information …

Learning to predict activity progress by self-supervised video alignment

G Donahue, E Elhamifar - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
In this paper we tackle the problem of self-supervised video alignment and activity progress
prediction using in-the-wild videos. Our proposed self-supervised representation learning …

Flowweb: Joint image set alignment by weaving consistent, pixel-wise correspondences

T Zhou, Y Jae Lee, SX Yu… - Proceedings of the IEEE …, 2015 - openaccess.thecvf.com
Given a set of poorly aligned images of the same visual concept without any annotations, we
propose an algorithm to jointly bring them into pixel-wise correspondence by estimating a …

Computing and processing correspondences with functional maps

M Ovsjanikov, E Corman, M Bronstein… - SIGGRAPH ASIA 2016 …, 2016 - dl.acm.org
Notions of similarity and correspondence between geometric shapes and images are central
to many tasks in geometry processing, computer vision, and computer graphics. The goal of …

Functional map networks for analyzing and exploring large shape collections

Q Huang, F Wang, L Guibas - ACM Transactions on Graphics (ToG), 2014 - dl.acm.org
The construction of networks of maps among shapes in a collection enables a variety of
applications in data-driven geometry processing. A key task in network construction is to …

Image enhancement and segmentation techniques for detection of knee joint diseases: A survey

T Saba, A Rehman, Z Mehmood… - Current Medical …, 2018 - ingentaconnect.com
Background: Knee bone diseases are rare but might be highly destructive. Magnetic
Resonance Imaging (MRI) is the main approach to identify knee cancer and its treatment …

Data-driven shape analysis and processing

K Xu, VG Kim, Q Huang, N Mitra… - SIGGRAPH ASIA 2016 …, 2016 - dl.acm.org
Data-driven methods serve an increasingly important role in discovering geometric,
structural, and semantic relationships between shapes. In contrast to traditional approaches …

Unsupervised object discovery and tracking in video collections

S Kwak, M Cho, I Laptev, J Ponce… - Proceedings of the …, 2015 - openaccess.thecvf.com
This paper addresses the problem of automatically localizing dominant objects as spatio-
temporal tubes in a noisy collection of videos with minimal or even no supervision. We …