10 citations · 22 across the 13 of their papers we have counts for
13 papers
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter
Hsu-kuang Chiu, Chien-Yi Wang, Min-Hung Chen +1
Current state-of-the-art autonomous driving vehicles mainly rely on each individual sensor system to perform perception tasks. Such a framework's reliability could be limited by oc…
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…
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation
Wenbin Zhu, Chien-Yi Wang, Kuan-Lun Tseng +2
Due to the rising concern of data privacy, it's reasonable to assume the local client data can't be transferred to a centralized server, nor their associated identity label is prov…
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
Chien-Yi Wang, Yu-Ding Lu, Shang-Ta Yang +1
Face anti-spoofing (FAS) plays a critical role in securing face recognition systems from different presentation attacks. Previous works leverage auxiliary pixel-level supervision a…
High-Accuracy RGB-D Face Recognition via Segmentation-Aware Face Depth Estimation and Mask-Guided Attention Network
Meng-Tzu Chiu, Hsun-Ying Cheng, Chien-Yi Wang +1
Deep learning approaches have achieved highly accurate face recognition by training the models with very large face image datasets. Unlike the availability of large 2D face image d…
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien +1
Current state-of-the-art deep learning based face recognition (FR) models require a large number of face identities for central training. However, due to the growing privacy awaren…
Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing
Yu-Chun Wang, Chien-Yi Wang, Shang-Hong Lai
As face recognition is widely used in diverse security-critical applications, the study of face anti-spoofing (FAS) has attracted more and more attention. Several FAS methods have…
Unified Representation Learning for Cross Model Compatibility
Chien-Yi Wang, Ya-Liang Chang, Shang-Ta Yang +2
We propose a unified representation learning framework to address the Cross Model Compatibility (CMC) problem in the context of visual search applications. Cross compatibility betw…