126 citations · 238 across the 10 of their papers we have counts for
10 papers
Hierarchical Multimodal Transformer to Summarize Videos
Bin Zhao, Maoguo Gong, Xuelong Li
Although video summarization has achieved tremendous success benefiting from Recurrent Neural Networks (RNN), RNN-based methods neglect the global dependencies and multi-hop relati…
Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction
Hailong Ning, Bin Zhao, Zhanxuan Hu +2
The Dynamic Saliency Prediction (DSP) task simulates the human selective attention mechanism to perceive the dynamic scene, which is significant and imperative in many vision tasks…
Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark
Haopeng Li, Lingbo Liu, Kunlin Yang +5
Video crowd localization is a crucial yet challenging task, which aims to estimate exact locations of human heads in the given crowded videos. To model spatial-temporal dependencie…
EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation
Bin Zhao, Xuelong Li
Video frame interpolation can up-convert the frame rate and enhance the video quality. In recent years, although the interpolation performance has achieved great success, image blu…
AudioVisual Video Summarization
Bin Zhao, Maoguo Gong, Xuelong Li
Audio and vision are two main modalities in video data. Multimodal learning, especially for audiovisual learning, has drawn considerable attention recently, which can boost the per…
Reconstructive Sequence-Graph Network for Video Summarization
Bin Zhao, Haopeng Li, Xiaoqiang Lu +1
Exploiting the inner-shot and inter-shot dependencies is essential for key-shot based video summarization. Current approaches mainly devote to modeling the video as a frame sequenc…
Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
Xuelong Li, Kai Kou, Bin Zhao
In this paper, a new task is proposed, namely, weather translation, which refers to transferring weather conditions of the image from one category to another. It is important for p…
Semantics-Consistent Representation Learning for Remote Sensing Image-Voice Retrieval
Hailong Ning, Bin Zhao, Yuan Yuan
With the development of earth observation technology, massive amounts of remote sensing (RS) images are acquired. To find useful information from these images, cross-modal RS image…
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos
Bin Zhao, Goutam Bhat, Martin Danelljan +2
Segmenting objects in videos is a fundamental computer vision task. The current deep learning based paradigm offers a powerful, but data-hungry solution. However, current datasets…
A General Framework for Edited Video and Raw Video Summarization
Xuelong Li, Bin Zhao, Xiaoqiang Lu
In this paper, we build a general summarization framework for both of edited video and raw video summarization. Overall, our work can be divided into three folds: 1) Four models ar…