1 citations · 1 across the 1 of their papers we have counts for
4 papers
Residual Squeeze-and-Excitation Network for Fast Image Deraining
Jun Fu, Jianfeng Xu, Kazuyuki Tasaka +1
Image deraining is an important image processing task as rain streaks not only severely degrade the visual quality of images but also significantly affect the performance of high-l…
Prior-enlightened and Motion-robust Video Deblurring
Ya Zhou, Jianfeng Xu, Kazuyuki Tasaka +2
Various blur distortions in video will cause negative impact on both human viewing and video-based applications, which makes motion-robust deblurring methods urgently needed. Most…
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
Jun Shi, Jianfeng Xu, Kazuyuki Tasaka +1
Accelerating the inference speed of CNNs is critical to their deployment in real-world applications. Among all the pruning approaches, those implementing a sparsity learning framew…
Multiple Human Tracking using Multi-Cues including Primitive Action Features
Hitoshi Nishimura, Kazuyuki Tasaka, Yasutomo Kawanishi +1
In this paper, we propose a Multiple Human Tracking method using multi-cues including Primitive Action Features (MHT-PAF). MHT-PAF can perform the accurate human tracking in dynami…