[1] ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution

[2] ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods

[3] Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss

[4] Towards Global Crop Maps with Transfer Learning

[5] MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer

[6] Multi-Year Vector Dynamic Time Warping Based Crop Mapping

[7] An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions

[8] Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach

[9] Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture

[10] Vision based Crop Row Navigation under Varying Field Conditions in Arable Fields

[11] Anticipatory Understanding of Resilient Agriculture to Climate

[12] ReCAP: Recursive Cross Attention Network for Pseudo-Label Generation in Robotic Surgical Skill Assessment

[13] Regularizing Differentiable Architecture Search with Smooth Activation

[14] Sketch2Scene: Automatic Generation of Interactive 3D Game Scenes from User's Casual Sketches

[15] Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on multi-view cardiac MR Images

[16] Neighborhood Attention Transformer

[17] Advanced Audio Aid for Blind People

[18] Hierarchical approach to classify food scenes in egocentric photo-streams

[19] Uncertainty-driven and Adversarial Calibration Learning for Epicardial Adipose Tissue Segmentation

[20] Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images

[21] STAIR Actions: A Video Dataset of Everyday Home Actions

[22] Home Action Genome: Cooperative Compositional Action Understanding

[23] View-invariant action recognition

[24] Multi-Granularity Hand Action Detection

[25] Technical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing

[26] Untrimmed Action Anticipation

[27] MMAD: Multi-label Micro-Action Detection in Videos

[28] A Training Method For VideoPose3D With Ideology of Action Recognition

[29] A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition

[30] FineAction: A Fine-Grained Video Dataset for Temporal Action Localization

[31] Deep learning for action spotting in association football videos

[32] A Comparative Review of Recent Kinect-based Action Recognition Algorithms

[33] Are Visual-Language Models Effective in Action Recognition? A Comparative Study

[34] On the Integration of Optical Flow and Action Recognition

[35] A Novel Approach for Human Action Recognition from Silhouette Images

[36] ESAD: Endoscopic Surgeon Action Detection Dataset

[37] TinyVIRAT: Low-resolution Video Action Recognition

[38] Action Capsules: Human Skeleton Action Recognition

[39] Region-aware Image-based Human Action Retrieval with Transformers

[40] Exploring Phonetic Context-Aware Lip-Sync For Talking Face Generation

[41] CALText: Contextual Attention Localization for Offline Handwritten Text

[42] Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

[43] Longitudinal Mammogram Risk Prediction

[44] EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation

[45] Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)

[46] Early Detection and Classification of Breast Cancer Using Deep Learning Techniques

[47] DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis

[48] New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor

[49] DVS: Blood cancer detection using novel CNN-based ensemble approach

[50] Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model

[51] A Central Asian Food Dataset for Personalized Dietary Interventions, Extended Abstract

[52] Online Class-Incremental Learning For Real-World Food Image Classification

[53] ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation

[54] Personalized Food Image Classification: Benchmark Datasets and New Baseline

[55] Multi-modal Embedding Fusion-based Recommender

[56] Long-Tailed Continual Learning For Visual Food Recognition

[57] PoseViNet: Distracted Driver Action Recognition Framework Using Multi-View Pose Estimation and Vision Transformer

[58] A Large-Scale Benchmark for Food Image Segmentation

[59] Conditional Synthetic Food Image Generation

[60] PPMamba: A Pyramid Pooling Local Auxiliary SSM-Based Model for Remote Sensing Image Semantic Segmentation

[61] On the Automatic Generation of Medical Imaging Reports

[62] Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?

[63] Faces: AI Blitz XIII Solutions

[64] Deep Joint Transmission-Recognition for Multi-View Cameras

[65] Adaptive Direction-Guided Structure Tensor Total Variation

[66] Nonlocal Adaptive Direction-Guided Structure Tensor Total Variation For Image Recovery

[67] Face Liveness Detection Based on Client Identity Using Siamese Network

[68] MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos

[69] M2ANET: Mobile Malaria Attention Network for efficient classification of plasmodium parasites in blood cells

[70] End-to-end Malaria Diagnosis and 3D Cell Rendering with Deep Learning

[71] Malaria Cell Detection Using Deep Neural Networks

[72] Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniques

[73] Intestinal Parasites Classification Using Deep Belief Networks

[74] MAIScope: A low-cost portable microscope with built-in vision AI to automate microscopic diagnosis of diseases in remote rural settings