10 citations · 21 across the 11 of their papers we have counts for
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Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation
Fu-En Yang, Chien-Yi Wang, Yu-Chiang Frank Wang
Federated learning (FL) emerges as a decentralized learning framework which trains models from multiple distributed clients without sharing their data to preserve privacy. Recently…
QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge
Hsi-Che Lin, Chien-Yi Wang, Min-Hung Chen +2
This technical report describes our QuAVF@NTU-NVIDIA submission to the Ego4D Talking to Me (TTM) Challenge 2023. Based on the observation from the TTM task and the provided dataset…
A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing
Chih-Jung Chang, Yaw-Chern Lee, Shih-Hsuan Yao +4
Face anti-spoofing (FAS) is indispensable for a face recognition system. Many texture-driven countermeasures were developed against presentation attacks (PAs), but the performance…
Kinship Representation Learning with Face Componential Relation
Weng-Tai Su, Min-Hung Chen, Chien-Yi Wang +2
Kinship recognition aims to determine whether the subjects in two facial images are kin or non-kin, which is an emerging and challenging problem. However, most previous methods foc…
Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss
Chu-Chun Chuang, Chien-Yi Wang, Shang-Hong Lai
With the increasing variations of face presentation attacks, model generalization becomes an essential challenge for a practical face anti-spoofing system. This paper presents a ge…
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
Fu-En Wang, Chien-Yi Wang, Min Sun +1
Although significant progress has been made in face recognition, demographic bias still exists in face recognition systems. For instance, it usually happens that the face recogniti…