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09/18/2023
Quantum Vision Clustering
Unsupervised visual clustering has recently received considerable attent...
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08/01/2023
The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution
This work presents our solutions to the Algonauts Project 2023 Challenge...
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06/16/2023
UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation
Multiple Object Tracking (MOT) aims to find bounding boxes and identitie...
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05/28/2023
Z-GMOT: Zero-shot Generic Multiple Object Tracking
Despite the significant progress made in recent years, Multi-Object Trac...
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05/25/2023
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
Continual semantic segmentation aims to learn new classes while maintain...
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05/25/2023
Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective
Understanding action recognition in egocentric videos has emerged as a v...
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05/22/2023
Type-to-Track: Retrieve Any Object via Prompt-based Tracking
One of the recent trends in vision problems is to use natural language c...
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04/14/2023
Fairness in Visual Clustering: A Novel Transformer Clustering Approach
Promoting fairness for deep clustering models in unsupervised clustering...
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04/14/2023
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation
The research in self-supervised domain adaptation in semantic segmentati...
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04/14/2023
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation
Understanding semantic scene segmentation of urban scenes captured from ...
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04/06/2023
Micron-BERT: BERT-based Facial Micro-Expression Recognition
Micro-expression recognition is one of the most challenging topics in af...
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04/04/2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
Although Domain Adaptation in Semantic Scene Segmentation has shown impr...
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12/12/2022
Contextual Explainable Video Representation: Human Perception-based Understanding
Video understanding is a growing field and a subject of intense research...
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12/06/2022
Neural Cell Video Synthesis via Optical-Flow Diffusion
The biomedical imaging world is notorious for working with small amounts...
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12/01/2022
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars
Although unsupervised domain adaptation methods have achieved remarkable...
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11/17/2022
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach
The development of autonomous vehicles generates a tremendous demand for...
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09/11/2022
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition
In this work, we investigate the problem of face reconstruction given a ...
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07/10/2022
Depth Perspective-aware Multiple Object Tracking
This paper aims to tackle Multiple Object Tracking (MOT), an important p...
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06/26/2022
VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
In this paper, we leverage the human perceiving process, that involves v...
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06/07/2022
Self-supervised Domain Adaptation in Crowd Counting
Self-training crowd counting has not been attentively explored though it...
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05/31/2022
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning
In quantum machine field, detecting two-dimensional (2D) materials in Si...
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05/22/2022
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Unsupervised domain adaptation is one of the challenging problems in com...
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04/19/2022
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
The development of autonomous vehicles provides an opportunity to have a...
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03/19/2022
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
Human action recognition has recently become one of the popular research...
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03/16/2022
CapsNet for Medical Image Segmentation
Convolutional Neural Networks (CNNs) have been successful in solving tas...
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08/25/2021
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
Deep reinforcement learning augments the reinforcement learning framewor...
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08/06/2021
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
Semantic segmentation aims to predict pixel-level labels. It has become ...
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08/06/2021
The Right to Talk: An Audio-Visual Transformer Approach
Turn-taking has played an essential role in structuring the regulation o...
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06/12/2021
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer...
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04/08/2021
Progressive Semantic Segmentation
The objective of this work is to segment high-resolution images without ...
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03/05/2021
Deep reinforcement learning in medical imaging: A literature review
Deep reinforcement learning (DRL) augments the reinforcement learning fr...
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12/04/2020
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Medical image segmentation has played an important role in medical analy...
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12/03/2020
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation
Image synthesis from corrupted contrasts increases the diversity of diag...
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04/09/2020
Beyond Disentangled Representations: An Attentive Angular Distillation Approach to Large-scale Lightweight Age-Invariant Face Recognition
Disentangled representations have been commonly adopted to Age-invariant...
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03/16/2020
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition
Unveiling face images of a subject given his/her high-level representati...
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05/28/2019
Image Alignment in Unseen Domains via Domain Deep Generalization
Image alignment across domains has recently become one of the realistic ...
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05/28/2019
Recognition in Unseen Domains: Domain Generalization via Universal Non-volume Preserving Models
Recognition across domains has recently become an active topic in the re...
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05/27/2019
Defining Quantum Neural Networks via Quantum Time Evolution
This work presents a novel fundamental algorithm for for defining and tr...
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05/25/2019
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
Large-scale face recognition in-the-wild has been recently achieved matu...
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05/24/2019
Generative Flow via Invertible nxn Convolution
Flow-based generative models have recently become one of the most effici...
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12/28/2018
Image Processing in Quantum Computers
Quantum Image Processing (QIP) is an exiting new field showing a lot of ...
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12/09/2018
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models
Recognition across domains has recently become an active topic in the re...
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11/28/2018
Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos
Group-level emotion recognition (ER) is a growing research area as the d...
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11/27/2018
Automatic Face Aging in Videos via Deep Reinforcement Learning
This paper presents a novel approach for synthesizing automatically age-...
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11/27/2018
MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices
Deep neural networks have been widely used in numerous computer vision a...
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02/25/2018
Seeing Small Faces from Robust Anchor's Perspective
This paper introduces a novel anchor design to support anchor-based face...
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02/23/2018
Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches
Face Aging has raised considerable attentions and interest from the comp...
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11/28/2017
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning
This paper presents a novel Generative Probabilistic Modeling under an I...
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07/18/2017
Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses
Facial alignment involves finding a set of landmark points on an image w...
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03/24/2017