11 citations · 12 across the 5 of their papers we have counts for
5 papers
Layerwise Tunable Lifting Scheme for the Convolutional Neural Network
Abdumannon Yovkochov, An Le, Sungbal Seo +2
This work introduces a family of tunable lifting schemes for biorthogonal wavelet filter banks. We propose three lifting strategies: low-pass tuning (LS-LayLatt-LP), high-pass tuni…
LiteVLM: A Low-Latency Vision-Language Model Inference Pipeline for Resource-Constrained Environments
Jin Huang, Yuchao Jin, Le An +1
This paper introduces an efficient Vision-Language Model (VLM) pipeline specifically optimized for deployment on embedded devices, such as those used in robotics and autonomous dri…
ReduceFormer: Attention with Tensor Reduction by Summation
John Yang, Le An, Su Inn Park
Transformers have excelled in many tasks including vision. However, efficient deployment of transformer models in low-latency or high-throughput applications is hindered by the com…
Swin-Free: Achieving Better Cross-Window Attention and Efficiency with Size-varying Window
Jinkyu Koo, John Yang, Le An +2
Transformer models have shown great potential in computer vision, following their success in language tasks. Swin Transformer is one of them that outperforms convolution-based arch…
Depth Estimation with Simplified Transformer
John Yang, Le An, Anurag Dixit +2
Transformer and its variants have shown state-of-the-art results in many vision tasks recently, ranging from image classification to dense prediction. Despite of their success, lim…