activity
20182022
most citedSearching for Low-Bit Weights in Quantized Neural Networks

34 citations · 45 across the 3 of their papers we have counts for

collaborators

9 papers

cs.CV20221 cited

TF-Net: Deep Learning Empowered Tiny Feature Network for Night-time UAV Detection

Maham Misbah, Misha Urooj Khan, Zhaohui Yang +1

Technological advancements have normalized the usage of unmanned aerial vehicles (UAVs) in every sector, spanning from military to commercial but they also pose serious security co…

cs.CV202110 cited

Neural Architecture Dilation for Adversarial Robustness

Yanxi Li, Zhaohui Yang, Yunhe Wang +1

With the tremendous advances in the architecture and scale of convolutional neural networks (CNNs) over the past few decades, they can easily reach or even exceed the performance o…

cs.CV202034 cited

Searching for Low-Bit Weights in Quantized Neural Networks

Zhaohui Yang, Yunhe Wang, Kai Han +4

Quantized neural networks with low-bit weights and activations are attractive for developing AI accelerators. However, the quantization functions used in most conventional quantiza…

cs.CV2020

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens

Zhaohui Yang, Yunhe Wang, Xinghao Chen +6

Neural Architecture Search (NAS) refers to automatically design the architecture. We propose an hourglass-inspired approach (HourNAS) for this problem that is motivated by the fact…

cs.CV2020

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Jianyuan Guo, Kai Han, Yunhe Wang +5

Neural Architecture Search (NAS) has achieved great success in image classification task. Some recent works have managed to explore the automatic design of efficient backbone or fe…

cs.CV2020

Discernible Image Compression

Zhaohui Yang, Yunhe Wang, Chang Xu +4

Image compression, as one of the fundamental low-level image processing tasks, is very essential for computer vision. Tremendous computing and storage resources can be preserved wi…