no code implementations • 4 Apr 2024 • Eduardo Pérez, Cemil Emre Ardic, Ozan Çakıroğlu, Kevin Jacob, Sayako Kodera, Luca Pompa, Mohamad Rachid, Han Wang, Yiming Zhou, Cyril Zimmer, Florian Römer, Ahmad Osman
Since we cannot discuss each NDE modality in one paper, we limit our attention to magnetic methods, ultrasound, thermography, as well as optical inspection.
no code implementations • 29 Feb 2024 • Han Wang, Yiming Zhou, Eduardo Perez, Florian Roemer
Strategic subsampling has become a focal point due to its effectiveness in compressing data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging.
no code implementations • 19 Feb 2024 • Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, DaCheng Tao, Enhong Chen
However, existing compression methods either perform only unidirectional compression in one iteration with higher communication cost, or bidirectional compression with slower convergence rate.
no code implementations • 3 Jan 2024 • Mingrui Li, Yiming Zhou, Guangan Jiang, Tianchen Deng, Yangyang Wang, Hongyu Wang
To address dynamic tracking interferences, we propose a feature point segmentation method that combines semantic features with a mixed Gaussian distribution model.
no code implementations • 2 Aug 2023 • Yiming Zhou, Yuexing Peng, Wei Li, Junchuan Yu, Daqing Ge, Wei Xiang
To extract accurate semantic features, a hyper-pixel-wise contrastive learning augmented segmentation network (HPCL-Net) is proposed, which augments the local salient feature extraction from boundaries of landslides through HPCL-Net and fuses heterogeneous infromation in the semantic space from high-resolution remote sensing images and digital elevation model data.
1 code implementation • CVPR 2023 • Zhikang Liu, Yiming Zhou, Yuansheng Xu, Zilei Wang
SimpleNet consists of four components: (1) a pre-trained Feature Extractor that generates local features, (2) a shallow Feature Adapter that transfers local features towards target domain, (3) a simple Anomaly Feature Generator that counterfeits anomaly features by adding Gaussian noise to normal features, and (4) a binary Anomaly Discriminator that distinguishes anomaly features from normal features.
Ranked #11 on Anomaly Detection on MVTec AD (using extra training data)
1 code implementation • 29 Jan 2023 • Yiming Zhou, Callen MacPhee, Madhuri Suthar, Bahram Jalali
PhyCV is the first computer vision library which utilizes algorithms directly derived from the equations of physics governing physical phenomena.
1 code implementation • 17 Dec 2022 • Omead Pooladzandi, Yiming Zhou
We explore the usage of the Levenberg-Marquardt (LM) algorithm for regression (non-linear least squares) and classification (generalized Gauss-Newton methods) tasks in neural networks.
no code implementations • 11 Sep 2020 • Ashkan Samiee, Yiming Zhou, Tingyi Zhou, Bahram Jalali
We demonstrate this "Deep ADC" technique on an 8G Sample/s 8-channel time-interleaved ADC with the QAM-OFDM modulated data.
no code implementations • 11 Sep 2020 • Yiming Zhou, Ashkan Samiee, Tingyi Zhou, Bahram Jalali
In this paper, we propose a Neural Network (NN) based signal processing technique that works with traditional DSP algorithms to overcome the interference problem in realtime.
no code implementations • 5 Aug 2020 • Zhe Wan, Tianyi Wang, Yiming Zhou, Subramanian S. Iyer, Vwani P. Roychowdhury
To explore this critical issue of scalability, this paper first presents a simulation framework to evaluate the feasibility of large-scale DNNs based on CIM architecture and analog NVM.
2 code implementations • CVPR 2019 • Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng
It prunes the architecture search space with a partial order assumption to automatically search for the architectures with the best speed and accuracy trade-off.