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20192023
most citedCascade Attention Guided Residue Learning GAN for Cross-Modal Translation

7 citations · 12 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023

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,…

cs.CV2023

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…

cs.CV2022★ 1 cited

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…

cs.CV2022

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…

cs.CV2020★ 4 cited

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…

cs.CV2019★ 7 cited

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…