SOTAVerified

Activity Prediction

Predict human activities in videos

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 106 papers

TitleStatusHype
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business ProcessesCode0
PDCNet: a benchmark and general deep learning framework for activity prediction of peptide-drug conjugates—0
Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data—0
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to VerificationCode5
Boltzmann Classifier: A Thermodynamic-Inspired Approach to Supervised Learning—0
Collecting Human Motion Data in Large and Occlusion-Prone Environments using Ultra-Wideband Localization—0
Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights—0
Self-Explaining Neural Networks for Business Process Monitoring—0
Persistent Homology-induced Graph Ensembles for Time Series RegressionsCode0
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in ZebrafishCode2
Forecasting Whole-Brain Neuronal Activity from Volumetric Video—0
E2CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction—0
An Innovative Next Activity Prediction Approach Using Process Entropy and DAW-Transformer—0
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin—0
Similarity-Quantized Relative Difference Learning for Improved Molecular Activity Prediction—0
PepDoRA: A Unified Peptide Language Model via Weight-Decomposed Low-Rank Adaptation—0
E(3)-invariant diffusion model for pocket-aware peptide generation—0
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active LearningCode0
Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learning—0
Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on Chemical Structure—0
Attention Please: What Transformer Models Really Learn for Process PredictionCode0
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution—0
CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation—0
Spatio-Temporal Encoding and Decoding-Based Method for Future Human Activity Skeleton Synthesis—0
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining TasksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NextmAP0.19—Unverified