Quoc-Huy Tran

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 34

Top Topics

Intermediate Concepts

Segmented Regions

Fully Unsupervised

Visual Odometry

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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)
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)
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 (2023)
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 (2023)
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 (2023)
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)
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)
Khoi Nguyen, Quoc-Huy Tran, Khoi Duc Nguyen, Binh-Son Hua, Rang Nguyen
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments. CoRR (2022)
Duong H. Le, Khoi Nguyen, Khoi Duc Nguyen, Quoc-Huy Tran, Rang Nguyen, Binh-Son Hua
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. CoRR (2022)
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 (2022)
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)
Khoi Nguyen, Quoc-Huy Tran, Khoi Duc Nguyen, Binh-Son Hua, Rang Nguyen
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments. ECCV (20) (2022)
Duong H. Le, Khoi Duc Nguyen, Khoi Nguyen, Quoc-Huy Tran, Rang Nguyen, Binh-Son Hua
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. NeurIPS (2021)
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)
Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, Muhammad Zeeshan Zia, Quoc-Huy Tran
Learning by Aligning Videos in Time. CoRR (2021)
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 (2021)
Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran
Towards Anomaly Detection in Dashcam Videos. CoRR (2020)
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)
Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran
Towards Anomaly Detection in Dashcam Videos. IV (2020)
Bingbing Zhuang, Quoc-Huy Tran
Image Stitching and Rectification for Hand-Held Cameras. CoRR (2020)
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 (2020)
Bingbing Zhuang, Quoc-Huy Tran
Image Stitching and Rectification for Hand-Held Cameras. ECCV (7) (2020)
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)
Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling. CoRR (2020)
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) (2019)
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 (2019)
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)
Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Loong-Fah Cheong, Manmohan Chandraker
Learning Structure-And-Motion-Aware Rolling Shutter Correction. CVPR (2019)
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 (2018)
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)
Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker
Deep Supervision with Intermediate Concepts. CoRR (2018)
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)
Vikas Dhiman, Quoc-Huy Tran, Jason J. Corso, Manmohan Chandraker
A Continuous Occlusion Model for Road Scene Understanding. CVPR (2016)
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 (2016)
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) (2014)
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) (2014)
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)