Search Results for author: Victor Kulikov

Found 4 papers, 3 papers with code

AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition

no code implementations27 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.

Video Recognition

AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition

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.

Video Recognition

Instance Segmentation of Biological Images Using Harmonic Embeddings

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.

Instance Segmentation Semantic Segmentation

Instance Segmentation by Deep Coloring

1 code implementation26 Jul 2018 Victor Kulikov, Victor Yurchenko, Victor Lempitsky

We propose a new and, arguably, a very simple reduction of instance segmentation to semantic segmentation.

Autonomous Driving Instance Segmentation +1

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