most citedDual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning

16 citations · 26 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024★ 4 cited

SNP-S3: Shared Network Pre-training and Significant Semantic Strengthening for Various Video-Text Tasks

Xingning Dong, Qingpei Guo, Tian Gan +5

We present a framework for learning cross-modal video representations by directly pre-training on raw data to facilitate various downstream video-text tasks. Our main contributions…

cs.CV2024

Knowledge-enhanced Multi-perspective Video Representation Learning for Scene Recognition

Xuzheng Yu, Chen Jiang, Wei Zhang +6

With the explosive growth of video data in real-world applications, a comprehensive representation of videos becomes increasingly important. In this paper, we address the problem o…

cs.CV2023★ 16 cited

Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning

Chen Jiang, Hong Liu, Xuzheng Yu +8

In recent years, the explosion of web videos makes text-video retrieval increasingly essential and popular for video filtering, recommendation, and search. Text-video retrieval aim…

cs.CV2023★ 1 cited

EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints

Yutao Chen, Xingning Dong, Tian Gan +3

Motivated by the superior performance of image diffusion models, more and more researchers strive to extend these models to the text-based video editing task. Nevertheless, current…

cs.CV2023★ 5 cited

Temporal Sentence Grounding in Streaming Videos

Tian Gan, Xiao Wang, Yan Sun +3

This paper aims to tackle a novel task - Temporal Sentence Grounding in Streaming Videos (TSGSV). The goal of TSGSV is to evaluate the relevance between a video stream and a given…

cs.CV2023

Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input

Qingpei Guo, Kaisheng Yao, Wei Chu

The ability to model intra-modal and inter-modal interactions is fundamental in multimodal machine learning. The current state-of-the-art models usually adopt deep learning models…

cs.CV2023

Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval

Tan Pan, Furong Xu, Xudong Yang +7

Image retrieval plays an important role in the Internet world. Usually, the core parts of mainstream visual retrieval systems include an online service of the embedding model and a…