4 citations · 6 across the 7 of their papers we have counts for
8 papers
Evaluating Machine Unlearning in ASR
Diogo Dinis, Francisco Teixeira, Bhiksha Raj +2
Machine unlearning (MU) offers a path to compliance with "right to be forgotten" regulations. While MU has received increasing attention for speech tasks, it remains largely unexpl…
MASIV: Toward Material-Agnostic System Identification from Videos
Yizhou Zhao, Haoyu Chen, Chunjiang Liu +7
System identification from videos aims to recover object geometry and governing physical laws. Existing methods integrate differentiable rendering with simulation but rely on prede…
Total-Editing: Head Avatar with Editable Appearance, Motion, and Lighting
Yizhou Zhao, Chunjiang Liu, Haoyu Chen +6
Face reenactment and portrait relighting are essential tasks in portrait editing, yet they are typically addressed independently, without much synergy. Most face reenactment method…
Revisiting Acoustic Features for Robust ASR
Muhammad A. Shah, Bhiksha Raj
Automatic Speech Recognition (ASR) systems must be robust to the myriad types of noises present in real-world environments including environmental noise, room impulse response, spe…
Synergistic Global-space Camera and Human Reconstruction from Videos
Yizhou Zhao, Tuanfeng Y. Wang, Bhiksha Raj +3
Remarkable strides have been made in reconstructing static scenes or human bodies from monocular videos. Yet, the two problems have largely been approached independently, without m…
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features
Francisco Teixeira, Karla Pizzi, Raphael Olivier +3
Membership Inference (MI) poses a substantial privacy threat to the training data of Automatic Speech Recognition (ASR) systems, while also offering an opportunity to audit these m…
Weakly-Supervised Audio-Visual Segmentation
Shentong Mo, Bhiksha Raj
Audio-visual segmentation is a challenging task that aims to predict pixel-level masks for sound sources in a video. Previous work applied a comprehensive manually designed archite…
Privacy-oriented manipulation of speaker representations
Francisco Teixeira, Alberto Abad, Bhiksha Raj +1
Speaker embeddings are ubiquitous, with applications ranging from speaker recognition and diarization to speech synthesis and voice anonymisation. The amount of information held by…