activity
20142026
most citedIs Joint Training Better for Deep Auto-Encoders?

26 citations · 53 across the 22 of their papers we have counts for

collaborators
Showing cs.CVShow all

10 papers · 1 filter

cs.CV2026

ConfusionBench: An Expert-Validated Benchmark for Confusion Recognition and Localization in Educational Videos

Lu Dong, Xiao Wang, Mark Frank +3

Recognizing and localizing student confusion from video is an important yet challenging problem in educational AI. Existing confusion datasets suffer from noisy labels, coarse temp…

cs.CV2024★ 1 cited

Cross-Attention Based Influence Model for Manual and Nonmanual Sign Language Analysis

Lipisha Chaudhary, Fei Xu, Ifeoma Nwogu

Both manual (relating to the use of hands) and non-manual markers (NMM), such as facial expressions or mouthing cues, are important for providing the complete meaning of phrases in…

cs.CV2024

Ig3D: Integrating 3D Face Representations in Facial Expression Inference

Lu Dong, Xiao Wang, Srirangaraj Setlur +2

Reconstructing 3D faces with facial geometry from single images has allowed for major advances in animation, generative models, and virtual reality. However, this ability to repres…

cs.CV2024

Towards Open Domain Text-Driven Synthesis of Multi-Person Motions

Mengyi Shan, Lu Dong, Yutao Han +5

This work aims to generate natural and diverse group motions of multiple humans from textual descriptions. While single-person text-to-motion generation is extensively studied, it…

cs.CV2024

SignAvatar: Sign Language 3D Motion Reconstruction and Generation

Lu Dong, Lipisha Chaudhary, Fei Xu +3

Achieving expressive 3D motion reconstruction and automatic generation for isolated sign words can be challenging, due to the lack of real-world 3D sign-word data, the complex nuan…

cs.CV2023

Language-guided Human Motion Synthesis with Atomic Actions

Yuanhao Zhai, Mingzhen Huang, Tianyu Luan +5

Language-guided human motion synthesis has been a challenging task due to the inherent complexity and diversity of human behaviors. Previous methods face limitations in generalizat…

cs.CV2022

A Probabilistic Model Of Interaction Dynamics for Dyadic Face-to-Face Settings

Renke Wang, Ifeoma Nwogu

Natural conversations between humans often involve a large number of non-verbal nuanced expressions, displayed at key times throughout the conversation. Understanding and being abl…

cs.CV2020

Modeling Global Body Configurations in American Sign Language

Nicholas Wilkins, Beck Cordes Galbraith, Ifeoma Nwogu

American Sign Language (ASL) is the fourth most commonly used language in the United States and is the language most commonly used by Deaf people in the United States and the Engli…

cs.CV2014★ 1 cited

A Concept Learning Approach to Multisensory Object Perception

Ifeoma Nwogu, Goker Erdogan, Ilker Yildirim +1

This paper presents a computational model of concept learning using Bayesian inference for a grammatically structured hypothesis space, and test the model on multisensory (visual a…

cs.CV2014★ 8 cited

An Analysis of Random Projections in Cancelable Biometrics

Devansh Arpit, Ifeoma Nwogu, Gaurav Srivastava +1

With increasing concerns about security, the need for highly secure physical biometrics-based authentication systems utilizing \emph{cancelable biometric} technologies is on the ri…