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Found 9 papers, 6 papers with code
The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation
The evolution of Text-to-video (T2V) generative models, trained on large-scale datasets, has been marked by significant progress.
Light-A-Video: Training-free Video Relighting via Progressive Light Fusion
Second, leveraging the physical principle of light transport independence, we apply linear blending between the source video's appearance and the relighted appearance, using a Progressive Light Fusion (PLF) strategy to ensure smooth temporal transitions in illumination.
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
Specifically, 1) we maximize the MI between visual and semantic space for distribution alignment; 2) we leverage the temporal information for estimating the MI by encouraging MI to increase as more frames are observed.
Spatio-Temporal Branching for Motion Prediction using Motion Increments
Human motion prediction (HMP) has emerged as a popular research topic due to its diverse applications, but it remains a challenging task due to the stochastic and aperiodic nature of future poses.
V3Det: Vast Vocabulary Visual Detection Dataset
2) Hierarchical Category Organization: The vast vocabulary of V3Det is organized by a hierarchical category tree which annotates the inclusion relationship among categories, encouraging the exploration of category relationships in vast and open vocabulary object detection.
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
Specifically, we construct a negative-sample-free triplet steam structure that is composed of an anchor stream without any masking, a spatial masking stream with Central Spatial Masking (CSM), and a temporal masking stream with Motion Attention Temporal Masking (MATM).
Depersonalized Federated Learning: Tackling Statistical Heterogeneity by Alternating Stochastic Gradient Descent
Federated learning (FL), which has gained increasing attention recently, enables distributed devices to train a common machine learning (ML) model for intelligent inference cooperatively without data sharing.
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Although artificial intelligence (AI) has made significant progress in understanding molecules in a wide range of fields, existing models generally acquire the single cognitive ability from the single molecular modality.
Ranked #12 on
Molecule Captioning
on ChEBI-20
Chinese Grammatical Error Diagnosis Based on CRF and LSTM-CRF model
When learning Chinese as a foreign language, the learners may have some grammatical errors due to negative migration of their native languages.
