| 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 | 866 | 2014 |
| 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 | 110 | 2017 |
| 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 | 91 | 2018 |
| 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 | 84 | 2020 |
| 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 | 83 | 2012 |
| 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 | 80 | 2021 |
| 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 | 77 | 2020 |
| 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 | 64 | 2022 |
| 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 | 60 | 2019 |
| 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 | 54 | 2018 |
| 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 | 45 | 2021 |
| 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 | 38 | 2018 |
| 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 | 37 | 2016 |
| Towards Anomaly Detection in Dashcam Videos S Haresh, S Kumar, MZ Zia, QH Tran IEEE Intelligent Vehicles Symposium (IV), 2020 | 35 | 2020 |
| 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 | 34 | 2022 |
| Sampling Minimal Subsets with Large Spans for Robust Estimation QH Tran, TJ Chin, W Chojnacki, D Suter International Journal of Computer Vision (IJCV), 2013 | 28 | 2013 |
| Image Stitching and Rectification for Hand-Held Cameras B Zhuang, QH Tran European Conference on Computer Vision (ECCV), 2020 | 27 | 2020 |
| 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 | 25 | 2019 |
| 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 | 17 | 2022 |
Zeeshan ZiaRetrocausal, Inc.在 retrocausal.ai 的电子邮件经过验证
