16 papers
Lightweight Complementary-Cue Fusion for Robust Video Face Forgery Detection
Sunghwan Baek, Tariq Anwaar, Karanveer Singh +1
Current face video forgery detectors use wide or dual-stream backbones. We show that a single, lightweight fusion of two handcrafted cues can achieve higher accuracy with a much sm…
What and When to Learn: CURriculum Ranking Loss for Large-Scale Speaker Verification
Massa Baali, Sarthak Bisht, Rita Singh +1
Speaker verification at large scale remains an open challenge as fixed-margin losses treat all samples equally regardless of quality. We hypothesize that mislabeled or degraded sam…
DELULU: Discriminative Embedding Learning Using Latent Units for Speaker-Aware Self-Trained Speech Foundational Model
Massa Baali, Rita Singh, Bhiksha Raj
Self-supervised speech models have achieved remarkable success on content-driven tasks, yet they remain limited in capturing speaker-discriminative features critical for verificati…
CAARMA: Class Augmentation with Adversarial Mixup Regularization
Massa Baali, Xiang Li, Hao Chen +3
Speaker verification is a typical zero-shot learning task, where inference of unseen classes is performed by comparing embeddings of test instances to known examples. The models pe…
VerLM: Explaining Face Verification Using Natural Language
Syed Abdul Hannan, Hazim Bukhari, Thomas Cantalapiedra +4
Face verification systems have seen substantial advancements; however, they often lack transparency in their decision-making processes. In this paper, we introduce an innovative Vi…
PhoniTale: Phonologically Grounded Mnemonic Generation for Typologically Distant Language Pairs
Sana Kang, Myeongseok Gwon, Su Young Kwon +4
Vocabulary acquisition poses a significant challenge for second-language (L2) learners, especially when learning typologically distant languages such as English and Korean, where p…