4.4k citations · 4.6k across the 11 of their papers we have counts for
10 papers · 1 filter
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…
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…
A Survey on Visual Transformer
Kai Han, Yunhe Wang, Hanting Chen +10
Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism. Thanks to its strong represen…
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…
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…
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…
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…
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
Zhaohui Yang, Miaojing Shi, Chao Xu +2
Weakly-supervised object detection attempts to limit the amount of supervision by dispensing the need for bounding boxes, but still assumes image-level labels on the entire trainin…
CARS: Continuous Evolution for Efficient Neural Architecture Search
Zhaohui Yang, Yunhe Wang, Xinghao Chen +5
Searching techniques in most of existing neural architecture search (NAS) algorithms are mainly dominated by differentiable methods for the efficiency reason. In contrast, we devel…
Revisiting Perspective Information for Efficient Crowd Counting
Miaojing Shi, Zhaohui Yang, Chao Xu +1
Crowd counting is the task of estimating people numbers in crowd images. Modern crowd counting methods employ deep neural networks to estimate crowd counts via crowd density regres…