4 citations · 12 across the 11 of their papers we have counts for
11 papers
VividListener: Expressive and Controllable Listener Dynamics Modeling for Multi-Modal Responsive Interaction
Shiying Li, Xingqun Qi, Bingkun Yang +6
Generating responsive listener head dynamics with nuanced emotions and expressive reactions is crucial for practical dialogue modeling in various virtual avatar animations. Previou…
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
Dongyang Li, Chen Wei, Shiying Li +3
How to decode human vision through neural signals has attracted a long-standing interest in neuroscience and machine learning. Modern contrastive learning and generative models imp…
Nonrigid Object Contact Estimation With Regional Unwrapping Transformer
Wei Xie, Zimeng Zhao, Shiying Li +2
Acquiring contact patterns between hands and nonrigid objects is a common concern in the vision and robotics community. However, existing learning-based methods focus more on conta…
Measure transfer via stochastic slicing and matching
Shiying Li, Caroline Moosmueller, Yongzhe Wang
This paper studies iterative schemes for measure transfer and approximation problems, which are defined through a slicing-and-matching procedure. Similar to the sliced Wasserstein…
Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Analysis
Shiying Li, Abu Hasnat Mohammad Rubaiyat, Gustavo K. Rohde
Transport-based metrics and related embeddings (transforms) have recently been used to model signal classes where nonlinear structures or variations are present. In this paper, we…
End-to-End Signal Classification in Signed Cumulative Distribution Transform Space
Abu Hasnat Mohammad Rubaiyat, Shiying Li, Xuwang Yin +3
This paper presents a new end-to-end signal classification method using the signed cumulative distribution transform (SCDT). We adopt a transport-based generative model to define t…
Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition
Yan Zhuang, Shiying Li, Mohammad Shifat-E-Rabbi +3
We present a new method for face recognition from digital images acquired under varying illumination conditions. The method is based on mathematical modeling of local gradient dist…
Nearest Subspace Search in The Signed Cumulative Distribution Transform Space for 1D Signal Classification
Abu Hasnat Mohammad Rubaiyat, Mohammad Shifat-E-Rabbi, Yan Zhuang +2
This paper presents a new method to classify 1D signals using the signed cumulative distribution transform (SCDT). The proposed method exploits certain linearization properties of…
Learning Energy-Based Models With Adversarial Training
Xuwang Yin, Shiying Li, Gustavo K. Rohde
We study a new approach to learning energy-based models (EBMs) based on adversarial training (AT). We show that (binary) AT learns a special kind of energy function that models the…
Partitioning signal classes using transport transforms for data analysis and machine learning
Akram Aldroubi, Shiying Li, Gustavo K. Rohde
A relatively new set of transport-based transforms (CDT, R-CDT, LOT) have shown their strength and great potential in various image and data processing tasks such as parametric sig…
Radon cumulative distribution transform subspace modeling for image classification
Mohammad Shifat-E-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat +5
We present a new supervised image classification method applicable to a broad class of image deformation models. The method makes use of the previously described Radon Cumulative D…