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Found 13 papers, 3 papers with code
SocialGesture: Delving into Multi-person Gesture Understanding
Previous research in human gesture recognition has largely overlooked multi-person interactions, which are crucial for understanding the social context of naturally occurring gestures.
Learning Predictive Visuomotor Coordination
Understanding and predicting human visuomotor coordination is crucial for applications in robotics, human-computer interaction, and assistive technologies.
GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) has emerged as a mainstream for novel view synthesis, leveraging continuous aggregations of Gaussian functions to model scene geometry.
MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
The emergence of Mixture of Experts (MoE) LLMs has significantly advanced the development of language models.
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications
We propose a novel hybrid prediction model that utilizes CNN to extract cross-field information and combine it with existing local field information.
Leveraging Object Priors for Point Tracking
Point tracking is a fundamental problem in computer vision with numerous applications in AR and robotics.
NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
Large-scale scientific simulations generate massive datasets, posing challenges for storage and I/O.
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data
Leveraging a group of neural networks, GWLZ significantly enhances the decompressed data reconstruction quality with negligible impact on the compression efficiency.
The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective
We propose a unified multi-modal framework -- Audio-Visual Conversational Attention (AV-CONV), for the joint prediction of conversation behaviors -- speaking and listening -- for both the camera wearer as well as all other social partners present in the egocentric video.
Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation
Motivated by this observation, we introduce the first model that leverages both the video and audio modalities for egocentric gaze anticipation.
Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games
We also explore the generalization ability of language models for persuasion modeling and the role of persuasion strategies in predicting social deduction game outcomes.
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video
We introduce the novel problem of anticipating a time series of future hand masks from egocentric video.
Ego4D: Around the World in 3,000 Hours of Egocentric Video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.
