409 citations · 1.5k across the 95 of their papers we have counts for
7 papers · 2 filters
Training on Foveated Images Improves Robustness to Adversarial Attacks
Muhammad A. Shah, Bhiksha Raj
Deep neural networks (DNNs) have been shown to be vulnerable to adversarial attacks -- subtle, perceptually indistinguishable perturbations of inputs that change the response of th…
The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features
Liao Qu, Xianwei Zou, Xiang Li +3
This work unveils the enigmatic link between phonemes and facial features. Traditional studies on voice-face correlations typically involve using a long period of voice input, incl…
Rethinking Voice-Face Correlation: A Geometry View
Xiang Li, Yandong Wen, Muqiao Yang +3
Previous works on voice-face matching and voice-guided face synthesis demonstrate strong correlations between voice and face, but mainly rely on coarse semantic cues such as gender…
UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation
Pha Nguyen, Kha Gia Quach, John Gauch +3
Multiple Object Tracking (MOT) aims to find bounding boxes and identities of targeted objects in consecutive video frames. While fully-supervised MOT methods have achieved high acc…
PaintSeg: Training-free Segmentation via Painting
Xiang Li, Chung-Ching Lin, Yinpeng Chen +3
The paper introduces PaintSeg, a new unsupervised method for segmenting objects without any training. We propose an adversarial masked contrastive painting (AMCP) process, which cr…
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
Thanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj +1
Continual semantic segmentation aims to learn new classes while maintaining the information from the previous classes. Although prior studies have shown impressive progress in rece…