43 citations · 230 across the 21 of their papers we have counts for
7 papers · 1 filter
Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization
Chen Ju, Kunhao Zheng, Jinxiang Liu +5
Weakly-supervised temporal action localization (WTAL) learns to detect and classify action instances with only category labels. Most methods widely adopt the off-the-shelf Classifi…
Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Training
Junfan Lin, Jianlong Chang, Lingbo Liu +4
Text-to-motion generation is an emerging and challenging problem, which aims to synthesize motion with the same semantics as the input text. However, due to the lack of diverse lab…
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
Bruce X. B. Yu, Jianlong Chang, Lingbo Liu +2
Parameter efficient transfer learning (PETL) aims at making good use of the representation knowledge in the pre-trained large models by fine-tuning a small number of parameters. Re…
Pro-tuning: Unified Prompt Tuning for Vision Tasks
Xing Nie, Bolin Ni, Jianlong Chang +6
In computer vision, fine-tuning is the de-facto approach to leverage pre-trained vision models to perform downstream tasks. However, deploying it in practice is quite challenging,…
Prompt-Matched Semantic Segmentation
Lingbo Liu, Jianlong Chang, Bruce X. B. Yu +3
The objective of this work is to explore how to effectively and efficiently adapt pre-trained visual foundation models to various downstream tasks of semantic segmentation. Previou…
Fine-grained Retrieval Prompt Tuning
Shijie Wang, Jianlong Chang, Zhihui Wang +3
Fine-grained object retrieval aims to learn discriminative representation to retrieve visually similar objects. However, existing top-performing works usually impose pairwise simil…
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval
Feilong Chen, Xiuyi Chen, Jiaxin Shi +3
In the past few years, the emergence of vision-language pre-training (VLP) has brought cross-modal retrieval to a new era. However, due to the latency and computation demand, it is…