Chen Feng (冯晨)
Cited by
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FoldingNet: Point cloud auto-encoder via deep grid deformation
Y Yang, C Feng, Y Shen, D Tian
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 206-215, 2018
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
Y Shen, C Feng, Y Yang, D Tian
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 4, 2018
Geometric distortion metrics for point cloud compression
D Tian, H Ochimizu, C Feng, R Cohen, A Vetro
2017 IEEE International Conference on Image Processing (ICIP), 3460-3464, 2017
CASENet: Deep Category-Aware Semantic Edge Detection
Z Yu, C Feng, MY Liu, S Ramalingam
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5964--5973, 2017
Point-Plane SLAM for Hand-Held 3D Sensors
Y Taguchi, YD Jian, S Ramalingam, C Feng
IEEE International Conference on Robotics and Automation (ICRA), 2013
Fast resampling of three-dimensional point clouds via graphs
S Chen, D Tian, C Feng, A Vetro, J Kovačević
IEEE Transactions on Signal Processing 66 (3), 666-681, 2017
Fast plane extraction in organized point clouds using agglomerative hierarchical clustering
C Feng, Y Taguchi, VR Kamat
2014 IEEE International Conference on Robotics and Automation (ICRA), 6218-6225, 2014
Deep Active Learning for Civil Infrastructure Defect Detection and Classification
C Feng, MY Liu, CC Kao, TY Lee
Computing in Civil Engineering 2017, 298-306, 2017
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception
S Chen, B Liu, C Feng, C Vallespi-Gonzalez, C Wellington
IEEE Signal Processing Magazine 38 (1), 68-86, 2020
Vision guided autonomous robotic assembly and as-built scanning on unstructured construction sites
C Feng, Y Xiao, A Willette, W McGee, VR Kamat
Automation in Construction 59, 128-138, 2015
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
A Kumar, TK Marks, W Mou, Y Wang, M Jones, A Cherian, T Koike-Akino, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8236-8246, 2020
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving
Y Li, D Ma, Z An, Z Wang, Y Zhong, S Chen, C Feng
IEEE Robotics and Automation Letters 7 (4), 10914-10921, 2022
Method for extracting planes from 3D point cloud sensor data
C Feng, Y Taguchi, V Kamat
US Patent 9,412,040 B2, 2013
Collaborative visualization of engineering processes using tabletop augmented reality
S Dong, AH Behzadan, C Feng, VR Kamat
Advances in Engineering Software 55, 45-55, 2013
Learning distilled collaboration graph for multi-agent perception
Y Li, S Ren, P Wu, S Chen, C Feng, W Zhang
Advances in Neural Information Processing Systems 34, 29541-29552, 2021
Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion
Y Li, Z Yu, C Choy, C Xiao, JM Alvarez, S Fidler, C Feng, A Anandkumar
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9087-9098, 2023
Simultaneous Edge Alignment and Learning
Z Yu, W Liu, Y Zou, C Feng, S Ramalingam, BVK Vijaya Kumar, J Kautz
European Conference on Computer Vision (ECCV), 388-404, 2018
An Occupancy Grid Mapping enhanced visual SLAM for real-time locating applications in indoor GPS-denied environments
L Xu, C Feng, VR Kamat, CC Menassa
Automation in Construction 104, 230-245, 2019
Deep unsupervised learning of 3D point clouds via graph topology inference and filtering
S Chen, C Duan, Y Yang, D Li, C Feng, D Tian
IEEE Transactions on Image Processing 29, 3183-3198, 2019
DeepMapping: Unsupervised map estimation from multiple point clouds
L Ding, C Feng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8650-8659, 2019
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