9 citations · 21 across the 11 of their papers we have counts for
11 papers
High-level Codes and Fine-grained Weights for Online Multi-modal Hashing Retrieval
Yu-Wei Zhan, Xiao-Ming Wu, Xin Luo +2
In the real world, multi-modal data often appears in a streaming fashion, and there is a growing demand for similarity retrieval from such non-stationary data, especially at a larg…
Enhancing HOI Detection with Contextual Cues from Large Vision-Language Models
Yu-Wei Zhan, Fan Liu, Xin Luo +3
Human-Object Interaction (HOI) detection aims at detecting human-object pairs and predicting their interactions. However, conventional HOI detection methods often struggle to fully…
Federated Class-Incremental Learning with Prompting
Xin Luo, Fang-Yi Liang, Jiale Liu +3
As Web technology continues to develop, it has become increasingly common to use data stored on different clients. At the same time, federated learning has received widespread atte…
Model-enhanced Vector Index
Hailin Zhang, Yujing Wang, Qi Chen +16
Embedding-based retrieval methods construct vector indices to search for document representations that are most similar to the query representations. They are widely used in docume…
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
Daixuan Cheng, Shaohan Huang, Junyu Bi +7
Large Language Models (LLMs) are popular for their impressive abilities, but the need for model-specific fine-tuning or task-specific prompt engineering can hinder their generaliza…
Prototype-Based Layered Federated Cross-Modal Hashing
Jiale Liu, Yu-Wei Zhan, Xin Luo +3
Recently, deep cross-modal hashing has gained increasing attention. However, in many practical cases, data are distributed and cannot be collected due to privacy concerns, which gr…
Three-Stream Joint Network for Zero-Shot Sketch-Based Image Retrieval
Yu-Wei Zhan, Xin Luo, Yongxin Wang +2
The Zero-Shot Sketch-based Image Retrieval (ZS-SBIR) is a challenging task because of the large domain gap between sketches and natural images as well as the semantic inconsistency…
Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization
Yu Zhan, Fenghai Li, Renliang Weng +1
In this paper, we propose a novel monocular ray-based 3D (Ray3D) absolute human pose estimation with calibrated camera. Accurate and generalizable absolute 3D human pose estimation…
Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data
Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan +3
With the vigorous development of multimedia equipment and applications, efficient retrieval of large-scale multi-modal data has become a trendy research topic. Thereinto, hashing h…
Weakly-Supervised Online Hashing
Yu-Wei Zhan, Xin Luo, Yu Sun +3
With the rapid development of social websites, recent years have witnessed an explosive growth of social images with user-provided tags which continuously arrive in a streaming fas…
Measuring the Accuracy of Object Detectors and Trackers
Tobias Bottger, Patrick Follmann, Michael Fauser
The accuracy of object detectors and trackers is most commonly evaluated by the Intersection over Union (IoU) criterion. To date, most approaches are restricted to axis-aligned or…