65 citations · 93 across the 14 of their papers we have counts for
18 papers
Multi-Granularity Mutual Refinement Network for Zero-Shot Learning
Ning Wang, Long Yu, Cong Hua +5
Zero-shot learning (ZSL) aims to recognize unseen classes with zero samples by transferring semantic knowledge from seen classes. Current approaches typically correlate global visu…
DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition
Qi Wang, Zhou Xu, Yuming Lin +6
Neuromorphic sensors, specifically event cameras, revolutionize visual data acquisition by capturing pixel intensity changes with exceptional dynamic range, minimal latency, and en…
Language Model Guided Interpretable Video Action Reasoning
Ning Wang, Guangming Zhu, HS Li +3
While neural networks have excelled in video action recognition tasks, their black-box nature often obscures the understanding of their decision-making processes. Recent approaches…
Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach
Huanyu Liu, Jianfeng Cai, Tingjia Zhang +6
Flowcharts and mind maps, collectively known as flowmind, are vital in daily activities, with hand-drawn versions facilitating real-time collaboration. However, there's a growing n…
UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene
Jiaming Gu, Minchao Jiang, Hongsheng Li +5
Neural Radiance Fields (NeRF) is a novel implicit 3D reconstruction method that shows immense potential and has been gaining increasing attention. It enables the reconstruction of…
A large scale multi-view RGBD visual affordance learning dataset
Zeyad Khalifa, Syed Afaq Ali Shah
The physical and textural attributes of objects have been widely studied for recognition, detection and segmentation tasks in computer vision.~A number of datasets, such as large s…