activity
20162021
most citedDUNet: A deformable network for retinal vessel segmentation

885 citations · 931 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers

Delv Lin, Qi Chen, Chengyu Zhou +1

Multi-Object Tracking (MOT) has achieved aggressive progress and derived many excellent deep learning trackers. Meanwhile, most deep learning models are known to be vulnerable to a…

cs.CV2021★ 8 cited

PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars

Qi Chen, Sourabh Vora, Oscar Beijbom

Recent works recognized lidars as an inherently streaming data source and showed that the end-to-end latency of lidar perception models can be reduced significantly by operating on…

cs.CV2019★ 22 cited

Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots

Qi Chen, Lin Sun, Zhixin Wang +2

Accurate 3D object detection in LiDAR based point clouds suffers from the challenges of data sparsity and irregularities. Existing methods strive to organize the points regularly,…

cs.CV2018★ 885 cited

DUNet: A deformable network for retinal vessel segmentation

Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham +3

Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose De…

cs.CV2018★ 7 cited

SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data

Qi Chen, Weichao Qiu, Yi Zhang +2

State-of-the-art techniques of artificial intelligence, in particular deep learning, are mostly data-driven. However, collecting and manually labeling a large scale dataset is both…

cs.CV2016★ 9 cited

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision

Yi Zhang, Weichao Qiu, Qi Chen +2

A reliable stereo algorithm is critical for many robotics applications. But textureless and specular regions can easily cause failure by making feature matching difficult. Understa…