activity
20212026
most citedVideo Joint Modelling Based on Hierarchical Transformer for Co-summarization

43 citations · 63 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions

Ce Chen, Yi Ren, Yuanming Li +5

Traditional Shot Boundary Detection (SBD) inherently struggles with complex transitions by formulating the task around isolated cut points, frequently yielding corrupted video shot…

cs.CV2025

Admitting Ignorance Helps the Video Question Answering Models to Answer

Haopeng Li, Tom Drummond, Mingming Gong +2

Significant progress has been made in the field of video question answering (VideoQA) thanks to deep learning and large-scale pretraining. Despite the presence of sophisticated mod…

cs.CV2024

Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition

Anqi Zhu, Qiuhong Ke, Mingming Gong +1

While remarkable progress has been made on supervised skeleton-based action recognition, the challenge of zero-shot recognition remains relatively unexplored. In this paper, we arg…

cs.CV2023★ 16 cited

Knowledge Distillation for Feature Extraction in Underwater VSLAM

Jinghe Yang, Mingming Gong, Girish Nair +3

In recent years, learning-based feature detection and matching have outperformed manually-designed methods in in-air cases. However, it is challenging to learn the features in the…

cs.CV2022★ 2 cited

Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition

Anqi Zhu, Qiuhong Ke, Mingming Gong +1

Skeleton-based action recognition receives increasing attention because the skeleton representations reduce the amount of training data by eliminating visual information irrelevant…

cs.CV2022★ 2 cited

Progressive Video Summarization via Multimodal Self-supervised Learning

Li Haopeng, Ke Qiuhong, Gong Mingming +1

Modern video summarization methods are based on deep neural networks that require a large amount of annotated data for training. However, existing datasets for video summarization…

cs.CV2021★ 43 cited

Video Joint Modelling Based on Hierarchical Transformer for Co-summarization

Li Haopeng, Ke Qiuhong, Gong Mingming +1

Video summarization aims to automatically generate a summary (storyboard or video skim) of a video, which can facilitate large-scale video retrieval and browsing. Most of the exist…