Search Results for author: Danyang Hou

Found 5 papers, 3 papers with code

Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement

1 code implementation21 Feb 2024 Danyang Hou, Liang Pang, HuaWei Shen, Xueqi Cheng

We argue that effectively capturing the partial relevance between the query and video is essential for the VCMR task.

Moment Retrieval Retrieval +2

Event-aware Video Corpus Moment Retrieval

no code implementations21 Feb 2024 Danyang Hou, Liang Pang, HuaWei Shen, Xueqi Cheng

Video Corpus Moment Retrieval (VCMR) is a practical video retrieval task focused on identifying a specific moment within a vast corpus of untrimmed videos using the natural language query.

Contrastive Learning Moment Retrieval +4

Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images

1 code implementation23 Nov 2023 Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, HuaWei Shen, Xueqi Cheng

Furthermore, our subsequent exploration reveals that the inclusion of AI-generated images in the training data of the retrieval models exacerbates the invisible relevance bias.

Cross-Modal Retrieval Image Retrieval +2

Multi-video Moment Ranking with Multimodal Clue

no code implementations29 Jan 2023 Danyang Hou, Liang Pang, Yanyan Lan, HuaWei Shen, Xueqi Cheng

In this paper, we focus on improving two problems of two-stage method: (1) Moment prediction bias: The predicted moments for most queries come from the top retrieved videos, ignoring the possibility that the target moment is in the bottom retrieved videos, which is caused by the inconsistency of Shared Normalization during training and inference.

Moment Retrieval Retrieval +1

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