research
∙
09/07/2023
SAM3D: Segment Anything Model in Volumetric Medical Images
Image segmentation is a critical task in medical image analysis, providi...
share
research
∙
09/06/2023
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation
Efficient polyp segmentation in healthcare plays a critical role in enab...
research
∙
06/12/2023
AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
Aerial Image Segmentation is a top-down perspective semantic segmentatio...
research
∙
04/16/2023
Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching
Endovascular intervention training is increasingly being conducted in vi...
research
∙
04/04/2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
Although Domain Adaptation in Semantic Scene Segmentation has shown impr...
research
∙
03/04/2023
Open-Vocabulary Affordance Detection in 3D Point Clouds
Affordance detection is a challenging problem with a wide variety of rob...
research
∙
12/30/2022
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world...
research
∙
12/12/2022
Contextual Explainable Video Representation: Human Perception-based Understanding
Video understanding is a growing field and a subject of intense research...
research
∙
12/09/2022
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection
Video anomaly detection (VAD) – commonly formulated as a multiple-instan...
research
∙
11/28/2022
VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
Video paragraph captioning aims to generate a multi-sentence description...
research
∙
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...
research
∙
10/12/2022
AISFormer: Amodal Instance Segmentation with Transformer
Amodal Instance Segmentation (AIS) aims to segment the region of both vi...
research
∙
10/07/2022
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification
The timing of cell divisions in early embryos during the In-Vitro Fertil...
research
∙
10/05/2022
AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation
Temporal action proposal generation (TAPG) is a challenging task, which ...
research
∙
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 ...
research
∙
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...
research
∙
06/07/2022
Self-supervised Domain Adaptation in Crowd Counting
Self-training crowd counting has not been attentively explored though it...
research
∙
05/22/2022
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Unsupervised domain adaptation is one of the challenging problems in com...
research
∙
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...
research
∙
03/16/2022
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
Medical image segmentation has been so far achieving promising results w...
research
∙
03/16/2022
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
Medical image analysis using deep learning has recently been prevalent, ...
research
∙
03/16/2022
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications
Deep learning methods have been successful in solving tasks in machine l...
research
∙
03/16/2022
CapsNet for Medical Image Segmentation
Convolutional Neural Networks (CNNs) have been successful in solving tas...
research
∙
03/16/2022
ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
Temporal action proposal generation (TAPG) aims to estimate temporal int...
research
∙
01/15/2022
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data
Capsule network is a recent new deep network architecture that has been ...
research
∙
10/21/2021
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
Humans typically perceive the establishment of an action in a video thro...
research
∙
08/25/2021
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
Deep reinforcement learning augments the reinforcement learning framewor...
research
∙
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 ...
research
∙
08/06/2021
The Right to Talk: An Audio-Visual Transformer Approach
Turn-taking has played an essential role in structuring the regulation o...
research
∙
07/17/2021
Agent-Environment Network for Temporal Action Proposal Generation
Temporal action proposal generation is an essential and challenging task...
research
∙
12/04/2020
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Medical image segmentation has played an important role in medical analy...
research
∙
12/03/2020
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection Segmentation
In recent years, deep neural networks have achieved state-of-the-art per...
research
∙
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...
research
∙
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...
research
∙
05/28/2019
Image Alignment in Unseen Domains via Domain Deep Generalization
Image alignment across domains has recently become one of the realistic ...
research
∙
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...
research
∙
05/24/2019
Generative Flow via Invertible nxn Convolution
Flow-based generative models have recently become one of the most effici...
research
∙
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...
research
∙
11/27/2018
Automatic Face Aging in Videos via Deep Reinforcement Learning
This paper presents a novel approach for synthesizing automatically age-...
research
∙
11/27/2018
