no code implementations • ECCV 2020 • Jianfei Yang, Han Zou, Yuxun Zhou, Zhaoyang Zeng, Lihua Xie ()
Adversarial domain adaptation has made tremendous success by learning domain-invariant feature representations.
no code implementations • 14 Nov 2023 • Yunjiao Zhou, Jianfei Yang, Han Zou, Lihua Xie
Through the IoT-language contrastive learning, we derive a unified semantic feature space that aligns multi-modal features with language embeddings, so that the IoT data corresponds to specific words that describe the IoT data.
no code implementations • 6 Jul 2023 • Han Zou, Masanori Suganuma, Takayuki Okatani
Then, we propose an improved method, RefVSR++, which can aggregate two features in parallel in the temporal direction, one for aggregating the fused LR and Ref inputs and the other for Ref inputs over time.
Reference-based Video Super-Resolution Video Super-Resolution
no code implementations • 6 Jul 2023 • Han Zou, Masanori Suganuma, Takayuki Okatani
We can utilize an alternative shot of the identical scene, just like in video deblurring, or we can even employ a distinct image from another scene.
1 code implementation • NeurIPS 2023 • Jianfei Yang, He Huang, Yunjiao Zhou, Xinyan Chen, Yuecong Xu, Shenghai Yuan, Han Zou, Chris Xiaoxuan Lu, Lihua Xie
Extensive experiments have been conducted to compare the sensing capacity of each or several modalities in terms of multiple tasks.
1 code implementation • 30 Aug 2022 • Lang Deng, Jianfei Yang, Shenghai Yuan, Han Zou, Chris Xiaoxuan Lu, Lihua Xie
As an important biomarker for human identification, human gait can be collected at a distance by passive sensors without subject cooperation, which plays an essential role in crime prevention, security detection and other human identification applications.
no code implementations • 22 Aug 2022 • Jianfei Yang, Yunjiao Zhou, He Huang, Han Zou, Lihua Xie
Avatar refers to a representative of a physical user in the virtual world that can engage in different activities and interact with other objects in metaverse.
2 code implementations • 16 Jul 2022 • Jianfei Yang, Xinyan Chen, Dazhuo Wang, Han Zou, Chris Xiaoxuan Lu, Sumei Sun, Lihua Xie
WiFi sensing has been evolving rapidly in recent years.
1 code implementation • 12 Apr 2022 • Jianfei Yang, Xinyan Chen, Han Zou, Dazhuo Wang, Lihua Xie
The AutoFi transfers knowledge from randomly collected CSI samples into human gait recognition and achieves state-of-the-art performance.
no code implementations • 8 Apr 2022 • Jianfei Yang, Xinyan Chen, Han Zou, Dazhuo Wang, Qianwen Xu, Lihua Xie
WiFi technology has been applied to various places due to the increasing requirement of high-speed Internet access.
no code implementations • 4 Apr 2022 • Jianfei Yang, Han Zou, Lihua Xie
The results validate that our method works well on wireless human activity recognition and person identification systems.
no code implementations • 28 Jan 2022 • Changwei Xu, Jianfei Yang, Haoran Tang, Han Zou, Cheng Lu, Tianshuo Zhang
Unsupervised Domain Adaptation (UDA), a branch of transfer learning where labels for target samples are unavailable, has been widely researched and developed in recent years with the help of adversarially trained models.
no code implementations • 9 Jan 2021 • Liang Xu, Taro Hatsutani, Xing Liu, Engkarat Techapanurak, Han Zou, Takayuki Okatani
We experimentally show that this makes it possible to detect cracks from an image of one-third the resolution of images used for annotation with about the same accuracy.
no code implementations • ICLR 2020 • Jianfei Yang, Han Zou, Yuxun Zhou, Lihua Xie
The proposed MDAT stabilizes the gradient reversing in ARN by replacing the domain classifier with a reconstruction network, and in this manner ARN conducts both feature-level and pixel-level domain alignment without involving extra network structures.
no code implementations • 22 Jun 2014 • Ming Jin, Han Zou, Kevin Weekly, Ruoxi Jia, Alexandre M. Bayen, Costas J. Spanos
We present results from a set of experiments in this pilot study to investigate the causal influence of user activity on various environmental parameters monitored by occupant carried multi-purpose sensors.