output
20022026
most citedCANDELS: The Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey

2.2k citations

Showing cs.CVShow all

9 papers · 1 filter

cs.CV2024★ 10 cited

iRAG: Advancing RAG for Videos with an Incremental Approach

Md Adnan Arefeen, Biplob Debnath, Md Yusuf Sarwar Uddin +1

Retrieval-augmented generation (RAG) systems combine the strengths of language generation and information retrieval to power many real-world applications like chatbots. Use of RAG…

cs.CV2023★ 1 cited

MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning

Md Adnan Arefeen, Zhouyu Li, Md Yusuf Sarwar Uddin +1

With the growth of computer vision applications, deep learning, and edge computing contribute to ensuring practical collaborative intelligence (CI) by distributing the workload amo…

cs.CV2022★ 27 cited

Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris

Fernando Alonso-Fernandez, Reuben A. Farrugia, Julian Fierrez +1

The lack of resolution has a negative impact on the performance of image-based biometrics. Many applications which are becoming ubiquitous in mobile devices do not operate in a con…

cs.CV2020

Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN

Rijun Liao, Weizhi An, Shiqi Yu +2

Gait recognition has proven to be effective for long-distance human recognition. But view variance of gait features would change human appearance greatly and reduce its performance…

cs.CV2020★ 1 cited

Dual Temporal Memory Network for Efficient Video Object Segmentation

Kaihua Zhang, Long Wang, Dong Liu +3

Video Object Segmentation (VOS) is typically formulated in a semi-supervised setting. Given the ground-truth segmentation mask on the first frame, the task of VOS is to track and s…

cs.CV2020★ 1 cited

CRL: Class Representative Learning for Image Classification

Mayanka Chandrashekar, Yugyung Lee

Building robust and real-time classifiers with diverse datasets are one of the most significant challenges to deep learning researchers. It is because there is a considerable gap b…

cs.CV2020★ 464 cited

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

Renlong Hang, Zhu Li, Pedram Ghamisi +3

In this paper, we propose an efficient and effective framework to fuse hyperspectral and Light Detection And Ranging (LiDAR) data using two coupled convolutional neural networks (C…

cs.CV2017★ 6 cited

Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach

Bowen Cheng, Zhangyang Wang, Zhaobin Zhang +5

Emotion recognition from facial expressions is tremendously useful, especially when coupled with smart devices and wireless multimedia applications. However, the inadequate network…

cs.CV2014

Anisotropic Mesh Adaptation for Image Representation

Xianping Li

Triangular meshes have gained much interest in image representation and have been widely used in image processing. This paper introduces a framework of anisotropic mesh adaptation…