427 citations · 896 across the 30 of their papers we have counts for
31 papers
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le +1
This paper addresses the few-shot image classification problem, where the classification task is performed on unlabeled query samples given a small amount of labeled support sample…
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Renan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing +2
We propose learnable polyphase sampling (LPS), a pair of learnable down/upsampling layers that enable truly shift-invariant and equivariant convolutional networks. LPS can be train…
Efficient Human Vision Inspired Action Recognition using Adaptive Spatiotemporal Sampling
Khoi-Nguyen C. Mac, Minh N. Do, Minh P. Vo
Adaptive sampling that exploits the spatiotemporal redundancy in videos is critical for always-on action recognition on wearable devices with limited computing and battery resource…
Towards a Comprehensive Solution for a Vision-based Digitized Neurological Examination
Trung-Hieu Hoang, Mona Zehni, Huaijin Xu +3
The ability to use digitally recorded and quantified neurological exam information is important to help healthcare systems deliver better care, in-person and via telehealth, as the…
Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics
Vaishnavi Subramanian, Tanveer Syeda-Mahmood, Minh N. Do
The availability of multi-modality datasets provides a unique opportunity to characterize the same object of interest using multiple viewpoints more comprehensively. In this work,…
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search
Qian Jiang, Xiaofan Zhang, Deming Chen +2
In hardware-aware Differentiable Neural Architecture Search (DNAS), it is challenging to compute gradients of hardware metrics to perform architecture search. Existing works rely o…