Hong Xuan

According to our database, Hong Xuan authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLaVA-Zip: Adaptive Visual Token Compression with Intrinsic Image Information.

Ke Wang, Hong Xuan

CoRR, 2024

2023

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance.

Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Chen, Xinggang Wang, Hongyang Chao, Han Hu

CoRR, 2023

Dissecting Deep Metric Learning Losses for Image-Text Retrieval.

Hong Xuan, Xi Stephen Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance.

Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Stephen Chen, Xinggang Wang, Hongyang Chao, Han Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Dissecting Deep Metric Learning Losses for Image-Text Retrieval.

Hong Xuan, Xi Chen

CoRR, 2022

Dissecting the impact of different loss functions with gradient surgery.

Hong Xuan, Robert Pless

CoRR, 2022

2020

Improved Embeddings with Easy Positive Triplet Mining.

Hong Xuan, Abby Stylianou, Robert Pless

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Hard Negative Examples are Hard, but Useful.

Hong Xuan, Abby Stylianou, Xiaotong Liu, Robert Pless

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Visualizing How Embeddings Generalize.

Xiaotong Liu, Hong Xuan, Zeyu Zhang, Abby Stylianou, Robert Pless

CoRR, 2019

Hotels-50K: A Global Hotel Recognition Dataset.

Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Randomized Ensembles for Metric Learning.

Hong Xuan, Richard Souvenir, Robert Pless

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Recognizing Images of Eating Disorders in Social Media.

Robert Pless, Rebecca Begtrup, Lulwah Alkulaib, Samsara N. Counts, James Harnett, Justine-Louise Manning, Hong Xuan, David A. Broniatowski

Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017