29 citations · 155 across the 31 of their papers we have counts for
7 papers · 1 filter
Self-Supervised 3D Face Reconstruction via Conditional Estimation
Yandong Wen, Weiyang Liu, Bhiksha Raj +1
We present a conditional estimation (CEST) framework to learn 3D facial parameters from 2D single-view images by self-supervised training from videos. CEST is based on the process…
An Overview of Techniques for Biomarker Discovery in Voice Signal
Rita Singh, Ankit Shah, Hira Dhamyal
This paper reflects on the effect of several categories of medical conditions on human voice, focusing on those that may be hypothesized to have effects on voice, but for which the…
SphereFace Revived: Unifying Hyperspherical Face Recognition
Weiyang Liu, Yandong Wen, Bhiksha Raj +2
This paper addresses the deep face recognition problem under an open-set protocol, where ideal face features are expected to have smaller maximal intra-class distance than minimal…
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
Yandong Wen, Weiyang Liu, Adrian Weller +2
State-of-the-art deep face recognition methods are mostly trained with a softmax-based multi-class classification framework. Despite being popular and effective, these methods stil…
Controlled AutoEncoders to Generate Faces from Voices
Hao Liang, Lulan Yu, Guikang Xu +2
Multiple studies in the past have shown that there is a strong correlation between human vocal characteristics and facial features. However, existing approaches generate faces simp…
Improving weakly supervised sound event detection with self-supervised auxiliary tasks
Soham Deshmukh, Bhiksha Raj, Rita Singh
While multitask and transfer learning has shown to improve the performance of neural networks in limited data settings, they require pretraining of the model on large datasets befo…