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20182022
most citedRSKDD-Net: Random Sample-based Keypoint Detector and Descriptor

29 citations · 74 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022

DRESS: Dynamic REal-time Sparse Subnets

Zhongnan Qu, Syed Shakib Sarwar, Xin Dong +3

The limited and dynamically varied resources on edge devices motivate us to deploy an optimized deep neural network that can adapt its sub-networks to fit in different resource con…

cs.CV2020★ 29 cited

RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor

Fan Lu, Guang Chen, Yinlong Liu +2

Keypoint detector and descriptor are two main components of point cloud registration. Previous learning-based keypoint detectors rely on saliency estimation for each point or farth…

cs.CV2020★ 2 cited

Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset

Bin Li, Hu Cao, Zhongnan Qu +3

Robotic grasping plays an important role in the field of robotics. The current state-of-the-art robotic grasping detection systems are usually built on the conventional vision, suc…

cs.CV2019

Adaptive Loss-aware Quantization for Multi-bit Networks

Zhongnan Qu, Zimu Zhou, Yun Cheng +1

We investigate the compression of deep neural networks by quantizing their weights and activations into multiple binary bases, known as multi-bit networks (MBNs), which accelerate…

cs.CV2018★ 1 cited

Deep Anticipation: Light Weight Intelligent Mobile Sensing in IoT by Recurrent Architecture

Guang Chen, Shu Liu, Kejia Ren +4

The rapid growth of IoT era is shaping the future of mobile services. Advanced communication technology enables a heterogeneous connectivity where mobile devices broadcast informat…