6 citations · 17 across the 7 of their papers we have counts for
6 papers · 1 filter
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
Ran Liu, Sahil Khose, Jingyun Xiao +4
Despite significant advances in deep learning, models often struggle to generalize well to new, unseen domains, especially when training data is limited. To address this challenge,…
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
Jorge Quesada, Lakshmi Sathidevi, Ran Liu +10
There are multiple scales of abstraction from which we can describe the same image, depending on whether we are focusing on fine-grained details or a more global attribute of the i…
Deformation Flow Based Two-Stream Network for Lip Reading
Jingyun Xiao, Shuang Yang, Yuanhang Zhang +2
Lip reading is the task of recognizing the speech content by analyzing movements in the lip region when people are speaking. Observing on the continuity in adjacent frames in the s…
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition
Yuanhang Zhang, Shuang Yang, Jingyun Xiao +2
Recent advances in deep learning have heightened interest among researchers in the field of visual speech recognition (VSR). Currently, most existing methods equate VSR with automa…
LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild
Shuang Yang, Yuanhang Zhang, Dalu Feng +6
Large-scale datasets have successively proven their fundamental importance in several research fields, especially for early progress in some emerging topics. In this paper, we focu…
3D Feature Pyramid Attention Module for Robust Visual Speech Recognition
Jingyun Xiao
Visual speech recognition is the task to decode the speech content from a video based on visual information, especially the movements of lips. It is also referenced as lipreading.…