Attention Model Based SIFT Keypoints Filtration for Image Retrieval. - Ke Gao; Shouxun Lin; Yongdong Zhang 001; Sheng Tang; Huamin Ren (ACIS-ICIS, 2008)

Visual words based spatiotemporal sequence matching in video copy detection. - Huamin Ren; Shouxun Lin; Dongming Zhang; Sheng Tang; Ke Gao (ICME, 2009)

Effective and Efficient Image Copy Detection Based on GPU. - Hongtao Xie; Ke Gao; Yongdong Zhang 001; Jintao Li 001; Yizhi Liu; Huamin Ren (ECCV Workshops (1), 2010)

Common visual pattern discovery via graph matching. - Hongtao Xie; Ke Gao; Yongdong Zhang 001; Jintao Li 001; Huamin Ren (ACM Multimedia, 2011)

An Incremental Clustering based codebook construction in video copy detection. - Huamin Ren; Heri Ramampiaro; Yongdong Zhang 001; Shouxun Lin (SSIAI, 2012)

Action recognition using salient neighboring histograms. - Huamin Ren; Thomas B. Moeslund (ICIP, 2013)

Real-time Multiple Abnormality Detection in Video Data. - Simon Hartmann Have; Huamin Ren; Thomas B. Moeslund (VISAPP (2), 2013)

Small Vocabulary with Saliency Matching for Video Copy Detection. - Huamin Ren; Thomas B. Moeslund; Sheng Tang; Heri Ramampiaro (VISAPP (1), 2013)

Abnormal event detection using local sparse representation. - Huamin Ren; Thomas B. Moeslund (AVSS, 2014)

Unsupervised Behavior-Specific Dictionary Learning for Abnormal Event Detection. - Huamin Ren; Weifeng Liu 002; Søren Ingvor Olsen; Sergio Escalera; Thomas B. Moeslund (BMVC, 2015)

An in-depth study of sparse codes on abnormality detection. - Huamin Ren; Hong Pan 001; Søren Ingvor Olsen; Morten Borno Jensen; Thomas B. Moeslund (AVSS, 2016)

Learning Dynamic Classes of Events using Stacked Multilayer Perceptron Networks. - Nattiya Kanhabua; Huamin Ren; Thomas B. Moeslund (CoRR, 2016)

A comprehensive study of sparse codes on abnormality detection. - Huamin Ren; Hong Pan 001; Søren Ingvor Olsen; Thomas B. Moeslund (CoRR, 2016)

Locality regularized group sparse coding for action recognition. - Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera; Thomas B. Moeslund; Huamin Ren; Elham Etemad (Comput. Vis. Image Underst., 2017)

Back-dropout transfer learning for action recognition. - Huamin Ren; Nattiya Kanhabua; Andreas Møgelmose; Weifeng Liu 002; Kaustubh Kulkarni; Sergio Escalera; Xavier Baró; Thomas B. Moeslund (IET Comput. Vis., 2018)

Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms. - Huamin Ren; Filippo Maria Bianchi; Jingyue Li; Rasmus L. Olsen; Robert Jenssen; Stian Normann Anfinsen (ICCE, 2021)

Attention-guided Temporal Convolutional Network for Non-intrusive Load Monitoring. - Huamin Ren; Xiaomeng Su; Robert Jenssen; Jingyue Li; Stian Normann Anfinsen (SmartGridComm, 2022)

How Much Measurement Data is Required for Day-ahead Load Forecasting while using Sequential Models? - Huamin Ren; Rasmus Løvenstein Olsen; Hans-Peter Schwefel (SmartGridComm, 2024)