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2020 – today
- 2024
[c18]Syed Waleed Hyder, Muhammad Usama, Anas Zafar, Muhammad Naufil, Fawad Javed Fateh, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion. ICRA 2024: 1048-1055- [c17]Quoc-Huy Tran, Ahmed Mehmood, Muhammad Ahmed, Muhammad Naufil, Anas Zafar, Andrey Konin, M. Zeeshan Zia:
Permutation-Aware Activity Segmentation via Unsupervised Frame-to-Segment Alignment. WACV 2024: 6412-6422 - 2023
- [i16]Quoc-Huy Tran, Ahmed Mehmood, Muhammad Ahmed, Muhammad Naufil, Anas Zafar, Andrey Konin, M. Zeeshan Zia:
Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment. CoRR abs/2305.19478 (2023) - [i15]Quoc-Huy Tran, Muhammad Ahmed, Ahmed Mehmood, M. Hassan Ahmed, Murad Popattia, Andrey Konin, M. Zeeshan Zia:
Learning by Aligning 2D Skeleton Sequences in Time. CoRR abs/2305.19480 (2023) - [i14]Syed Waleed Hyder, Muhammad Usama, Anas Zafar, Muhammad Naufil, Fawad Javed Fateh, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Action Segmentation Using 2D Skeleton Heatmaps. CoRR abs/2309.06462 (2023) - 2022
- [c16]Sateesh Kumar, Sanjay Haresh, Awais Ahmed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering. CVPR 2022: 20142-20153 - [c15]Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen, Binh-Son Hua, Rang Nguyen:
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments. ECCV (20) 2022: 471-487 - [c14]Hamza Khan, Sanjay Haresh, Awais Ahmed, Shakeeb Siddiqui, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Timestamp-Supervised Action Segmentation with Graph Convolutional Networks. IROS 2022: 10619-10626 - [c13]Andrey Konin, Shakeeb Siddiqui, Hasan Gilani, Muhammad Mudassir, M. Hassan Ahmed, Taban Shaukat, Muhammad Naufil, Awais Ahmed, Quoc-Huy Tran, M. Zeeshan Zia:
AI-mediated Job Status Tracking in AR as a No-Code service. ISMAR Adjunct 2022: 1-2 - [i13]Duong H. Le, Khoi D. Nguyen, Khoi Nguyen, Quoc-Huy Tran, Rang Nguyen, Binh-Son Hua:
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. CoRR abs/2206.04679 (2022) - [i12]Hamza Khan, Sanjay Haresh, Awais Ahmed, Shakeeb Siddiqui, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Timestamp-Supervised Action Segmentation with Graph Convolutional Networks. CoRR abs/2206.15031 (2022) - [i11]Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen, Binh-Son Hua, Rang Nguyen:
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments. CoRR abs/2207.10785 (2022) - 2021
- [c12]Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Learning by Aligning Videos in Time. CVPR 2021: 5548-5558 - [c11]Duong H. Le, Khoi D. Nguyen, Khoi Nguyen, Quoc-Huy Tran, Rang Nguyen, Binh-Son Hua:
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. NeurIPS 2021: 23942-23955 - [i10]Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, Muhammad Zeeshan Zia, Quoc-Huy Tran:
Learning by Aligning Videos in Time. CoRR abs/2103.17260 (2021) - [i9]Sateesh Kumar, Sanjay Haresh, Awais Ahmed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering. CoRR abs/2105.13353 (2021) - 2020
- [c10]Bingbing Zhuang
, Quoc-Huy Tran:
Image Stitching and Rectification for Hand-Held Cameras. ECCV (7) 2020: 243-260 - [c9]Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker:
Pseudo RGB-D for Self-improving Monocular SLAM and Depth Prediction. ECCV (11) 2020: 437-455 - [c8]Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker:
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling. ECCV (14) 2020: 710-727 - [c7]Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran:
Towards Anomaly Detection in Dashcam Videos. IV 2020: 1407-1414 - [i8]Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran:
Towards Anomaly Detection in Dashcam Videos. CoRR abs/2004.05261 (2020) - [i7]Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker:
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction. CoRR abs/2004.10681 (2020) - [i6]Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker:
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling. CoRR abs/2007.10983 (2020) - [i5]Bingbing Zhuang, Quoc-Huy Tran:
Image Stitching and Rectification for Hand-Held Cameras. CoRR abs/2008.09229 (2020)
2010 – 2019
- 2019
- [j3]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Intermediate Concepts. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1828-1843 (2019) - [c6]Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Loong-Fah Cheong, Manmohan Chandraker:
Learning Structure-And-Motion-Aware Rolling Shutter Correction. CVPR 2019: 4551-4560 - [c5]Bingbing Zhuang, Quoc-Huy Tran, Gim Hee Lee, Loong Fah Cheong, Manmohan Chandraker:
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM. IROS 2019: 3766-3773 - [i4]Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Gim Hee Lee, Loong Fah Cheong, Manmohan Chandraker:
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM. CoRR abs/1907.13185 (2019) - 2018
- [c4]Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker:
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences. ECCV (15) 2018: 832-850 - [i3]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Intermediate Concepts. CoRR abs/1801.03399 (2018) - [i2]Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker:
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences. CoRR abs/1803.07231 (2018) - 2017
- [c3]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. CVPR 2017: 388-397 - 2016
- [c2]Vikas Dhiman, Quoc-Huy Tran, Jason J. Corso, Manmohan Chandraker:
A Continuous Occlusion Model for Road Scene Understanding. CVPR 2016: 4331-4339 - [i1]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. CoRR abs/1612.02699 (2016) - 2014
- [j2]Quoc-Huy Tran, Tat-Jun Chin, Wojciech Chojnacki, David Suter:
Sampling Minimal Subsets with Large Spans for Robust Estimation. Int. J. Comput. Vis. 106(1): 93-112 (2014) - [j1]Julio Zaragoza, Tat-Jun Chin, Quoc-Huy Tran, Michael S. Brown, David Suter:
As-Projective-As-Possible Image Stitching with Moving DLT. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1285-1298 (2014) - 2012
- [c1]Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter:
In Defence of RANSAC for Outlier Rejection in Deformable Registration. ECCV (4) 2012: 274-287
Coauthor Index
aka: Manmohan Chandraker
aka: Muhammad Zeeshan Zia
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