Paper-Conference

Can MLLMs Read the Room? A Multimodal Benchmark for Verifying Truthfulness in Multi-Party Social Interactions
As AI systems become increasingly integrated into human lives, endowing them with robust social intelligence has emerged as a critical …
PDF Cite DOI
Can MLLMs Read the Room? A Multimodal Benchmark for Verifying Truthfulness in Multi-Party Social Interactions
Affordance-Guided Diffusion Prior for 3D Hand Reconstruction
How can we reconstruct 3D hand poses when large portions of the hand are heavily occluded by itself or by objects? Humans often resolve …
PDF Cite DOI
Affordance-Guided Diffusion Prior for 3D Hand Reconstruction
Egocentric Action-aware Inertial Localization in Point Clouds with Vision-Language Guidance
This paper presents a novel inertial localization framework named Egocentric Action-aware Inertial Localization (EAIL), which leverages …
PDF Cite Code
Egocentric Action-aware Inertial Localization in Point Clouds with Vision-Language Guidance
Data-driven Head Motion Generation through Natural Gaze-Head Coordination
We present the first data-driven approach to model temporal gaze-head coordination from large-scale in-the-wild facial videos. To …
PDF Cite Project DOI
Data-driven Head Motion Generation through Natural Gaze-Head Coordination
ChartQC: Question Classification from Human Attention Data on Charts
Understanding how humans interact with information visualizations is crucial for improving user experience and designing effective …
PDF Cite DOI
ChartQC: Question Classification from Human Attention Data on Charts
Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities
We address the challenge of unsupervised mistake detection in egocentric video of skilled human activities through the analysis of gaze …
PDF Cite
Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
We present a framework for pre-training of 3D hand pose estimation from in-the-wild hand images sharing with similar hand …
PDF Cite Code
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
A Multimodal LLM-based Assistant for User-Centric Interactive Machine Learning
This paper proposes a system based on a multimodal large language model (MLLM) to assist non-expert users without prior experience in …
PDF Cite DOI
A Multimodal LLM-based Assistant for User-Centric Interactive Machine Learning
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos
We propose a novel benchmark for cross-view knowledge transfer of dense video captioning, adapting models from web instructional videos …
PDF Cite
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos
Learning Multiple Object States from Actions via Large Language Models
Recognizing the states of objects in a video is crucial in understanding the scene beyond actions and objects. For instance, an egg can …
PDF Cite Code DOI
Learning Multiple Object States from Actions via Large Language Models