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Found 7 papers, 2 papers with code
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network
Both the proposed JARNet and LAP image synthesis pipeline establish a foundation for addressing this intricate challenge.
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision
The proposed framework is evaluated on five regular VG datasets and two newly constructed robust VG datasets.
Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild
In this paper, we seek to better understand Android obfuscation and depict a holistic view of the usage of obfuscation through a large-scale investigation in the wild.
Cryptography and Security
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
Recently, the DL compiler, together with Learning to Compile has proven to be a powerful technique for optimizing deep learning models.
AdaTune: Adaptive Tensor Program Compilation Made Efficient
Deep learning models are computationally intense, and implementations often have to be highly optimized by experts or hardware vendors to be usable in practice.
Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation
On the DSB2018 and CA2. 5, our network surpasses previous methods by 1. 2% (AP50).
Mobile Image Restoration via Prior Quantization
In digital images, the performance of optical aberration is a multivariate degradation, where the spectral of the scene, the lens imperfections, and the field of view together contribute to the results.
