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3dconvcaps

[ICPR 2022] 3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation

aerialformer

[preprint] AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation

aisformer

[BMVC 2022] AISFormer: Amodal Instance Segmentation with Transformer

aoe-net

[IJCV] AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation

carcassformer

Poultry Science Journal - CarcassFormer: An End-to-end Transformer-based Framework for Simultaneous Localization, Segmentation and Classification of Poultry Carcass Defect

cattleface-rgbt-benchmark

ecg_ssl_12lead

[IEEE BHI 2022] Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning

embryos

[WACV 2023] EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification

iai

[WACV 2024] Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses: A Controllable & Interpretable AI System

meganet

[WACV 2024] An implementation of MEGANet for polyp segmentation with multi-scale edge-guided attention

openfusion

[ICRA 2024 Oral] Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation

sam3d

[ISBI 2024] An implementation of SAM3D which adapts Segment Anything Model for Volumetric Medical Image Segmentation

shapeformer

ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation

ss-3dcapsnet

[ISBI 2022] SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data

tapg-agentenvinteration

[BMVC 2021 Oral] AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposal Generation

tsrnet

[ISBI 2024] An implementation of TSRNet for ECG Anomaly Detection

uark-aicv.github.io

[Lab] lab website

video_representation

[Asilomar 2022] Contextual Explainable Video Representation: Human Perception-based Understanding

vlcap

[ICIP 2022] VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning

vltint

[AAAI 2023 Oral] VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning

zeetad

[WACV2024] ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection