7 citations · 12 across the 10 of their papers we have counts for
10 papers
Towards Saner Deep Image Registration
Bin Duan, Ming Zhong, Yan Yan
With recent advances in computing hardware and surges of deep-learning architectures, learning-based deep image registration methods have surpassed their traditional counterparts,…
Query-Utterance Attention with Joint modeling for Query-Focused Meeting Summarization
Xingxian Liu, Bin Duan, Bo Xiao +1
Query-focused meeting summarization (QFMS) aims to generate summaries from meeting transcripts in response to a given query. Previous works typically concatenate the query with mee…
Optical Flow Estimation in 360 Videos: Dataset, Model and Application
Bin Duan, Keshav Bhandari, Gaowen Liu +1
Optical flow estimation has been a long-lasting and fundamental problem in the computer vision community. However, despite the advances of optical flow estimation in perspective vi…
Learning Omnidirectional Flow in 360-degree Video via Siamese Representation
Keshav Bhandari, Bin Duan, Gaowen Liu +3
Optical flow estimation in omnidirectional videos faces two significant issues: the lack of benchmark datasets and the challenge of adapting perspective video-based methods to acco…
Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang, Dan Xu, Bin Duan +3
Relying on the premise that the performance of a binary neural network can be largely restored with eliminated quantization error between full-precision weight vectors and their co…
MLP-GAN for Brain Vessel Image Segmentation
Bin Xie, Hao Tang, Bin Duan +2
Brain vessel image segmentation can be used as a promising biomarker for better prevention and treatment of different diseases. One successful approach is to consider the segmentat…
Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning
Yuzhang Shang, Bin Duan, Ziliang Zong +2
With the remarkable success of deep learning recently, efficient network compression algorithms are urgently demanded for releasing the potential computational power of edge device…
Lipschitz Continuity Guided Knowledge Distillation
Yuzhang Shang, Bin Duan, Ziliang Zong +2
Knowledge distillation has become one of the most important model compression techniques by distilling knowledge from larger teacher networks to smaller student ones. Although grea…
Audio-Visual Event Localization via Recursive Fusion by Joint Co-Attention
Bin Duan, Hao Tang, Wei Wang +3
The major challenge in audio-visual event localization task lies in how to fuse information from multiple modalities effectively. Recent works have shown that attention mechanism i…
Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation
Bin Duan, Wei Wang, Hao Tang +2
Since we were babies, we intuitively develop the ability to correlate the input from different cognitive sensors such as vision, audio, and text. However, in machine learning, this…