no code implementations • 2 Feb 2023 • Lei Tan, Yukang Zhang, ShengMei Shen, Yan Wang, Pingyang Dai, Xianming Lin, Yongjian Wu, Rongrong Ji
Cross-spectral person re-identification, which aims to associate identities to pedestrians across different spectra, faces a main challenge of the modality discrepancy.
1 code implementation • 6 Jun 2021 • John Cai, Bill Cai, ShengMei Shen
In this paper, we propose Domain Agnostic Meta Score-based Learning (DAMSL), a novel, versatile and highly effective solution that delivers significant out-performance over state-of-the-art methods for cross-domain few-shot learning.
Ranked #1 on Cross-Domain Few-Shot on miniImagenet
no code implementations • 20 Aug 2020 • Tianchi Liu, Rohan Kumar Das, Maulik Madhavi, ShengMei Shen, Haizhou Li
The proposed SUDA features an attention mask mechanism to learn the interaction between the speaker and utterance information streams.
no code implementations • 19 Apr 2020 • Yang Hu, Xiaying Bai, Pan Zhou, Fanhua Shang, ShengMei Shen
Pedestrian attribute recognition is an important multi-label classification problem.
no code implementations • 25 Sep 2019 • Bingkun Wei, Yangyang Li, Fanhua Shang, Yuanyuan Liu, Hongying Liu, ShengMei Shen
To address this issue, we propose a novel hard thresholding algorithm, called Semi-stochastic Block Coordinate Descent Hard Thresholding Pursuit (SBCD-HTP).
no code implementations • 26 May 2019 • Hanyang Kong, Jian Zhao, Xiaoguang Tu, Junliang Xing, ShengMei Shen, Jiashi Feng
Recent deep learning based face recognition methods have achieved great performance, but it still remains challenging to recognize very low-resolution query face like 28x28 pixels when CCTV camera is far from the captured subject.
no code implementations • 16 Nov 2018 • Sen Cao, Yazhou Liu, Pongsak Lasang, ShengMei Shen
In order to solve this problem, majority of existing methods utilize complicated network or bigger image size, which generally leads to higher computation cost.
1 code implementation • 2 Sep 2018 • Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Haochong Lan, Fang Zhao, Lin Xiong, Yan Xu, Jianshu Li, Sugiri Pranata, ShengMei Shen, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng
Benchmarking our model on one of the most popular unconstrained face recognition datasets IJB-C additionally verifies the promising generalizability of AIM in recognizing faces in the wild.
Ranked #1 on Age-Invariant Face Recognition on MORPH Album2
no code implementations • CVPR 2018 • Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Karlekar Jayashree, Sugiri Pranata, ShengMei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng
To this end, we propose a Pose Invariant Model (PIM) for face recognition in the wild, with three distinct novelties.
no code implementations • 27 Mar 2018 • Jubin Johnson, Shunsuke Yasugi, Yoichi Sugino, Sugiri Pranata, ShengMei Shen
Person re-identification (re-ID) aims to accurately re- trieve a person from a large-scale database of images cap- tured across multiple cameras.
2 code implementations • 16 Oct 2017 • Wei Gao, David Hsu, Wee Sun Lee, ShengMei Shen, Karthikk Subramanian
How can a delivery robot navigate reliably to a destination in a new office building, with minimal prior information?
1 code implementation • 3 Apr 2017 • Lin Xiong, Jayashree Karlekar, Jian Zhao, Yi Cheng, Yan Xu, Jiashi Feng, Sugiri Pranata, ShengMei Shen
In this paper, we propose a unified learning framework named Transferred Deep Feature Fusion (TDFF) targeting at the new IARPA Janus Benchmark A (IJB-A) face recognition dataset released by NIST face challenge.
no code implementations • 28 Oct 2015 • Jianan Li, Xiaodan Liang, ShengMei Shen, Tingfa Xu, Jiashi Feng, Shuicheng Yan
Taking pedestrian detection as an example, we illustrate how we can leverage this philosophy to develop a Scale-Aware Fast R-CNN (SAF R-CNN) framework.
Ranked #23 on Pedestrian Detection on Caltech