no code implementations • 31 Oct 2023 • Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang
Various variants have enabled transformer architecture to effectively handle long-term time series forecasting (LTSF) tasks.
1 code implementation • ICCV 2023 • Heng Zhao, Shenxing Wei, Dahu Shi, Wenming Tan, Zheyang Li, Ye Ren, Xing Wei, Yi Yang, ShiLiang Pu
Taking the symmetry properties of objects into consideration, we design a symmetry-aware matching loss to facilitate the learning of dense point-wise geometry features and improve the performance considerably.
no code implementations • 9 Nov 2022 • Weiqiang Zhao, Heng Zhao, Zhicheng Cao, Liaojun Pang
Finally, composite features that fuse up the double orientations and SURF points are transformed using the irreversible transformation of IOM to generate the revocable palmprint template.
no code implementations • 20 May 2022 • Zhicheng Cao, Kaituo Zhang, Liaojun Pang, Heng Zhao
Face-based age estimation has attracted enormous attention due to wide applications to public security surveillance, human-computer interaction, etc.
no code implementations • 13 May 2022 • Jenny Schmalfuss, Erik Scheurer, Heng Zhao, Nikolaos Karantzas, Andrés Bruhn, Demetrio Labate
Blind inpainting algorithms based on deep learning architectures have shown a remarkable performance in recent years, typically outperforming model-based methods both in terms of image quality and run time.
no code implementations • 30 Mar 2022 • Qian Zheng, Ankur Purwar, Heng Zhao, Guang Liang Lim, Ling Li, Debasish Behera, Qian Wang, Min Tan, Rizhao Cai, Jennifer Werner, Dennis Sng, Maurice van Steensel, Weisi Lin, Alex C Kot
We present an automatic facial skin feature detection method that works across a variety of skin tones and age groups for selfies in the wild.
no code implementations • 31 Jul 2021 • Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong
Current one-stage methods for visual grounding encode the language query as one holistic sentence embedding before fusion with visual feature.
no code implementations • 9 Mar 2020 • Liaojun Pang, Jiong Chen, Fei Guo, Zhicheng Cao, Heng Zhao
Detecting the singular point accurately and efficiently is one of the most important tasks for fingerprint recognition.
no code implementations • 4 Nov 2019 • Jiong Chen, Heng Zhao, Zhicheng Cao, Liaojun Pang
Compared with traditional image processing-based detection methods, methods based on deep learning only need the original fingerprint image but not the fingerprint orientation field.
1 code implementation • 8 Sep 2019 • Hokchhay Tann, Heng Zhao, Sherief Reda
To attain accurate and efficient FCN models, we propose a three-step SW/HW co-design methodology consisting of FCN architectural exploration, precision quantization, and hardware acceleration.