11 citations · 24 across the 5 of their papers we have counts for
5 papers
Learning IMU Bias with Diffusion Model
Shenghao Zhou, Saimouli Katragadda, Guoquan Huang
Motion sensing and tracking with IMU data is essential for spatial intelligence, which however is challenging due to the presence of time-varying stochastic bias. IMU bias is affec…
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
Yue Yang, Artemis Panagopoulou, Shenghao Zhou +3
Concept Bottleneck Models (CBM) are inherently interpretable models that factor model decisions into human-readable concepts. They allow people to easily understand why a model is…
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
Lingzhi Zhang, Shenghao Zhou, Simon Stent +1
Egocentric videos offer fine-grained information for high-fidelity modeling of human behaviors. Hands and interacting objects are one crucial aspect of understanding a viewer's beh…
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on
Chao Lin, Zhao Li, Sheng Zhou +6
Virtual try-on(VTON) aims at fitting target clothes to reference person images, which is widely adopted in e-commerce.Existing VTON approaches can be narrowly categorized into Pars…
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
Karl Pertsch, Oleh Rybkin, Jingyun Yang +5
Temporal observations such as videos contain essential information about the dynamics of the underlying scene, but they are often interleaved with inessential, predictable details.…