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Son Tran
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2020 – today
- 2024
- [i8]Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi:
VidLA: Video-Language Alignment at Scale. CoRR abs/2403.14870 (2024) - [i7]Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Z. Yao, Trishul Chilimbi:
Open Vocabulary Multi-Label Video Classification. CoRR abs/2407.09073 (2024) - 2023
- [c17]Zhizhang Hu, Xinliang Zhu, Son Tran, René Vidal, Arnab Dhua:
ProVLA: Compositional Image Search with Progressive Vision-Language Alignment and Multimodal Fusion. ICCV (Workshops) 2023: 2764-2769 - [c16]Stylianos Loukas Vasileiou, William Yeoh, Son Tran, Ashwin Kumar, Michael Cashmore, Daniele Magazzeni:
A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract). IJCAI 2023: 6985-6989 - [i6]Steve J. Bickley, Ho Fai Chan, Bang Dao, Benno Torgler, Son Tran:
SurveyLM: A platform to explore emerging value perspectives in augmented language models' behaviors. CoRR abs/2308.00521 (2023) - [i5]Son Tran, Cong Tran, Anh Dat Tran, Cuong Pham:
UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance. CoRR abs/2309.01078 (2023) - 2022
- [c15]Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Multi-modal Alignment using Representation Codebook. CVPR 2022: 15630-15639 - [c14]Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang:
Vision-Language Pre-Training with Triple Contrastive Learning. CVPR 2022: 15650-15659 - [c13]Ming Du, Arnau Ramisa, Amit Kumar K. C, Sampath Chanda, Mengjiao Wang
, Neelakandan Rajesh, Shasha Li, Yingchuan Hu, Tao Zhou, Nagashri Lakshminarayana, Son Tran, Doug Gray:
Amazon Shop the Look: A Visual Search System for Fashion and Home. KDD 2022: 2822-2830 - [c12]Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi:
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. NeurIPS 2022 - [i4]Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang:
Vision-Language Pre-Training with Triple Contrastive Learning. CoRR abs/2202.10401 (2022) - [i3]Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Multi-modal Alignment using Representation Codebook. CoRR abs/2203.00048 (2022) - 2021
- [c11]Son Tran
, Sophie Alyx Taylor
, Dan V. Nicolau
:
Limits of Intelligence and Design Implication. BICT 2021: 215-229 - [i2]Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Tran, Trishul Chilimbi, Belinda Zeng, Ismail B. Tutar:
MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling. CoRR abs/2109.12178 (2021) - 2020
- [j3]Cuong Pham, Thai Son Nguyen, Huy Tran-Quang, Son Tran, Hai Vu
, Thanh-Hai Tran, Thi-Lan Le
:
SensCapsNet: Deep Neural Network for Non-Obtrusive Sensing Based Human Activity Recognition. IEEE Access 8: 86934-86946 (2020) - [c10]Ahmed S. Khalaf
, Sultan A. Alharthi, Bill Hamilton, Igor Dolgov, Son Tran, Phoebe O. Toups Dugas:
A Framework of Input Devices to Support Designing Composite Wearable Computers. HCI (2) 2020: 401-427
2010 – 2019
- 2019
- [c9]Quan T. Do, Son Tran, Alexa K. Doig:
Reinforcement Learning Framework to Identify Cause of Diseases - Predicting Asthma Attack Case. IEEE BigData 2019: 4829-4838 - [c8]Ahmed S. Khalaf
, Sultan A. Alharthi, Son Tran, Igor Dolgov, Phoebe O. Toups Dugas
:
A Taxonomy for Selecting Wearable Input Devices for Mixed Reality. ISS 2019: 403-408 - [i1]Son Tran, Ming Du, Sampath Chanda, R. Manmatha, Cj Taylor:
Searching for Apparel Products from Images in the Wild. CoRR abs/1907.02244 (2019) - 2018
- [c7]Moinul Morshed Porag Chowdhury, Christopher Kiekintveld, Son Tran, William Yeoh
:
Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search. IJCAI 2018: 166-172 - [c6]Ahmed S. Khalaf, Poom Pianpak, Sultan A. Alharthi, Zahra NaminiMianji, Ruth C. Torres, Son Tran, Igor Dolgov, Phoebe O. Toups Dugas:
An Architecture for Simulating Drones in Mixed Reality Games to Explore Future Search and Rescue Scenarios. ISCRAM 2018 - 2016
- [b1]Son Tran:
Representation decomposition for knowledge extraction and sharing using restricted Boltzmann machines. City University London, UK, 2016 - 2014
- [j2]Sang Phan, Thanh Duc Ngo
, Vu Lam, Son Tran, Duy-Dinh Le, Duc Anh Duong, Shin'ichi Satoh:
Multimedia Event Detection Using Segment-Based Approach for Motion Feature. J. Signal Process. Syst. 74(1): 19-31 (2014) - 2013
- [j1]Vinay K. Chaudhri, Stijn Heymans, Son Tran, Michael A. Wessel:
Object-Oriented Knowledge Bases in Logic Programming. Theory Pract. Log. Program. 13(4-5-Online-Supplement) (2013) - 2012
- [c5]Sang Phan, Vu Lam, Son Tran, Thanh Duc Ngo, Duy-Dinh Le, Shin'ichi Satoh:
A Codeword Visualization Tool for Dense Trajectory Feature. ICME Workshops 2012: 672 - [c4]Sang Phan, Thanh Duc Ngo
, Vu Lam, Son Tran, Duy-Dinh Le, Duc Anh Duong, Shin'ichi Satoh:
Multimedia Event Detection Using Segment-Based Approach for Motion Feature. PCM 2012: 33-44 - 2010
- [c3]Son Tran:
MapReduce Programming Model for Matrix Computations. CSC 2010: 257-263
2000 – 2009
- 2005
- [c2]Son Tran, Liwen Shih:
Efficient 3D Binary Image Skeletonization. CSB Workshops 2005: 364-372 - 2004
- [c1]Son Tran, Seiichi Mita:
A new approach using the Viterbi algorithm in stereo correspondence problem. SMC (3) 2004: 3016-3021
Coauthor Index
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last updated on 2024-08-16 19:29 CEST by the dblp team
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