Sledovat
Quoc-Huy Tran
Quoc-Huy Tran
Retrocausal, Inc.
E-mailová adresa ověřena na: retrocausal.ai - Domovská stránka
Název
Citace
Citace
Rok
As-Projective-As-Possible Image Stitching with Moving DLT
J Zaragoza, TJ Chin, QH Tran, MS Brown, D Suter
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
8772014
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
C Li, MZ Zia, QH Tran, X Yu, GD Hager, M Chandraker
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
1102017
Deep Supervision with Intermediate Concepts
C Li, MZ Zia, QH Tran, X Yu, GD Hager, M Chandraker
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
932018
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
Y Zou, P Ji, QH Tran, JB Huang, M Chandraker
European Conference on Computer Vision (ECCV), 2020
852020
In Defence of RANSAC for Outlier Rejection in Deformable Registration
QH Tran, TJ Chin, G Carneiro, MS Brown, D Suter
European Conference on Computer Vision (ECCV), 2012
842012
Learning by Aligning Videos in Time
S Haresh, S Kumar, H Coskun, SN Syed, A Konin, MZ Zia, QH Tran
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
802021
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
L Tiwari, P Ji, QH Tran, B Zhuang, S Anand, M Chandraker
European Conference on Computer Vision (ECCV), 2020
772020
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
S Kumar, S Haresh, A Ahmed, A Konin, MZ Zia, QH Tran
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
652022
Learning Structure-And-Motion-Aware Rolling Shutter Correction
B Zhuang, QH Tran, P Ji, LF Cheong, M Chandraker
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
612019
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences
ME Fathy, QH Tran, MZ Zia, P Vernaza, M Chandraker
European Conference on Computer Vision (ECCV), 2018
542018
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
DH Le, KD Nguyen, K Nguyen, QH Tran, R Nguyen, BS Hua
Conference on Neural Information Processing Systems (NeurIPS), 2021
472021
Action Recognition System with Landmark Localization on Objects in Images Using Convolutional Neural Networks
MZ Zia, QH Tran, X Yu, M Chandraker, C Li
US Patent 10,331,974, 2018
392018
A Continuous Occlusion Model for Road Scene Understanding
V Dhiman, QH Tran, JJ Corso, M Chandraker
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
372016
Towards Anomaly Detection in Dashcam Videos
S Haresh, S Kumar, MZ Zia, QH Tran
IEEE Intelligent Vehicles Symposium (IV), 2020
362020
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
KD Nguyen, QH Tran, K Nguyen, BS Hua, R Nguyen
European Conference on Computer Vision (ECCV), 2022
352022
Sampling Minimal Subsets with Large Spans for Robust Estimation
QH Tran, TJ Chin, W Chojnacki, D Suter
International Journal of Computer Vision (IJCV), 2013
282013
Image Stitching and Rectification for Hand-Held Cameras
B Zhuang, QH Tran
European Conference on Computer Vision (ECCV), 2020
272020
Degeneracy in Self-Calibration Revisted and a Deep Learning Solution for Uncalibrated SLAM
B Zhuang, QH Tran, GH Lee, LF Cheong, M Chandraker
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
252019
Landmark Localization on Objects in Images Using Convolutional Neural Networks
MZ Zia, QH Tran, X Yu, M Chandraker, C Li
US Patent 10,289,934, 2018
22*2018
Timestamp-Supervised Action Segmentation with Graph Convolutional Networks
H Khan, S Haresh, A Ahmed, S Siddiqui, A Konin, MZ Zia, QH Tran
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
182022
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Články 1–20