44 citations · 121 across the 10 of their papers we have counts for
8 papers · 1 filter
Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy
Te Yang, Jian Jia, Xiangyu Zhu +9
Large Language Models (LLMs) have strong instruction-following capability to interpret and execute tasks as directed by human commands. Multimodal Large Language Models (MLLMs) hav…
Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval
Xiaowan Hu, Yiyi Chen, Yan Li +5
With the rapid expansion of e-commerce, more consumers have become accustomed to making purchases via livestreaming. Accurately identifying the products being sold by salespeople,…
Knowledge Condensation and Reasoning for Knowledge-based VQA
Dongze Hao, Jian Jia, Longteng Guo +8
Knowledge-based visual question answering (KB-VQA) is a challenging task, which requires the model to leverage external knowledge for comprehending and answering questions grounded…
Cross-Domain Product Representation Learning for Rich-Content E-Commerce
Xuehan Bai, Yan Li, Yanhua Cheng +3
The proliferation of short video and live-streaming platforms has revolutionized how consumers engage in online shopping. Instead of browsing product pages, consumers are now turni…
TEA: Temporal Excitation and Aggregation for Action Recognition
Yan Li, Bin Ji, Xintian Shi +3
Temporal modeling is key for action recognition in videos. It normally considers both short-range motions and long-range aggregations. In this paper, we propose a Temporal Excitati…
Transductive Zero-Shot Learning with Visual Structure Constraint
Ziyu Wan, Dongdong Chen, Yan Li +4
To recognize objects of the unseen classes, most existing Zero-Shot Learning(ZSL) methods first learn a compatible projection function between the common semantic space and the vis…
Discriminative Learning of Latent Features for Zero-Shot Recognition
Yan Li, Junge Zhang, Jianguo Zhang +1
Zero-shot learning (ZSL) aims to recognize unseen image categories by learning an embedding space between image and semantic representations. For years, among existing works, it ha…
Mixed Supervised Object Detection with Robust Objectness Transfer
Yan Li, Junge Zhang, Kaiqi Huang +1
In this paper, we consider the problem of leveraging existing fully labeled categories to improve the weakly supervised detection (WSD) of new object categories, which we refer to…