no code implementations • 27 Sep 2022 • Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang
Recent research has revealed that reducing the temporal and spatial redundancy are both effective approaches towards efficient video recognition, e. g., allocating the majority of computation to a task-relevant subset of frames or the most valuable image regions of each frame.
1 code implementation • CVPR 2022 • Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang
Recent works have shown that the computational efficiency of video recognition can be significantly improved by reducing the spatial redundancy.
1 code implementation • CVPR 2020 • Victor Kulikov, Victor Lempitsky
We present a new instance segmentation approach tailored to biological images, where instances may correspond to individual cells, organisms or plant parts.
1 code implementation • 26 Jul 2018 • Victor Kulikov, Victor Yurchenko, Victor Lempitsky
We propose a new and, arguably, a very simple reduction of instance segmentation to semantic segmentation.