Search Results for author: Zijian Chen

Found 9 papers, 4 papers with code

Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis

no code implementations11 Mar 2024 Zijian Chen, Mei Wang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Xingchen Cui, Jian Zhao

2D face recognition encounters challenges in unconstrained environments due to varying illumination, occlusion, and pose.

Depth Estimation Face Recognition

Exploring the Naturalness of AI-Generated Images

1 code implementation9 Dec 2023 Zijian Chen, Wei Sun, HaoNing Wu, ZiCheng Zhang, Jun Jia, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Xiongkuo Min, Guangtao Zhai, Wenjun Zhang

In this paper, we take the first step to benchmark and assess the visual naturalness of AI-generated images.

FS-BAND: A Frequency-Sensitive Banding Detector

no code implementations30 Nov 2023 Zijian Chen, Wei Sun, ZiCheng Zhang, Ru Huang, Fangfang Lu, Xiongkuo Min, Guangtao Zhai, Wenjun Zhang

Banding artifact, as known as staircase-like contour, is a common quality annoyance that happens in compression, transmission, etc.

Image Quality Assessment

Joint Location Sensing and Channel Estimation for IRS-Aided mmWave ISAC Systems

no code implementations14 Nov 2023 Zijian Chen, Ming-Min Zhao, Min Li, Fan Xu, Qingqing Wu, Min-Jian Zhao

Based on the estimation results from the first phase, we formulate a Cram\'{e}r-Rao bound (CRB) minimization problem for optimizing IRS reflection coefficients, and through proper reformulations, a low-complexity manifold-based optimization algorithm is proposed to solve this problem.

Bayesian Inference POS

Sulcal Pattern Matching with the Wasserstein Distance

1 code implementation1 Jul 2023 Zijian Chen, Soumya Das, Moo K. Chung

We present the unified computational framework for modeling the sulcal patterns of human brain obtained from the magnetic resonance images.

Image Registration

WaBERT: A Low-resource End-to-end Model for Spoken Language Understanding and Speech-to-BERT Alignment

no code implementations22 Apr 2022 Lin Yao, Jianfei Song, Ruizhuo Xu, Yingfang Yang, Zijian Chen, Yafeng Deng

Basically, there are two main methods for SLU tasks: (1) Two-stage method, which uses a speech model to transfer speech to text, then uses a language model to get the results of downstream tasks; (2) One-stage method, which just fine-tunes a pre-trained speech model to fit in the downstream tasks.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

Embedding of Functional Human Brain Networks on a Sphere

1 code implementation7 Apr 2022 Moo K. Chung, Zijian Chen

Human brain activity is often measured using the blood-oxygen-level dependent (BOLD) signals obtained through functional magnetic resonance imaging (fMRI).

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