31 citations · 55 across the 9 of their papers we have counts for
9 papers
Distilling Normalizing Flows
Steven Walton, Valeriy Klyukin, Maksim Artemev +3
Explicit density learners are becoming an increasingly popular technique for generative models because of their ability to better model probability distributions. They have advanta…
CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices
Andrei Znobishchev, Valerii Filev, Oleg Kudashev +2
We present CompactFlowNet, the first real-time mobile neural network for optical flow prediction, which involves determining the displacement of each pixel in an initial frame rela…
Interactive Neural Painting
Elia Peruzzo, Willi Menapace, Vidit Goel +9
In the last few years, Neural Painting (NP) techniques became capable of producing extremely realistic artworks. This paper advances the state of the art in this emerging research…
AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition
Yulin Wang, Yang Yue, Xinhong Xu +6
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 c…
Towards Layer-wise Image Vectorization
Xu Ma, Yuqian Zhou, Xingqian Xu +5
Image rasterization is a mature technique in computer graphics, while image vectorization, the reverse path of rasterization, remains a major challenge. Recent advanced deep learni…
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
Yulin Wang, Yang Yue, Yuanze Lin +6
Recent works have shown that the computational efficiency of video recognition can be significantly improved by reducing the spatial redundancy. As a representative work, the adapt…
SeMask: Semantically Masked Transformers for Semantic Segmentation
Jitesh Jain, Anukriti Singh, Nikita Orlov +4
Finetuning a pretrained backbone in the encoder part of an image transformer network has been the traditional approach for the semantic segmentation task. However, such an approach…
Fast Glare Detection in Document Images
Dmitry Rodin, Nikita Orlov
Glare is a phenomenon that occurs when the scene has a reflection of a light source or has one in it. This luminescence can hide useful information from the image, making text reco…
FaSTExt: Fast and Small Text Extractor
Alexander Filonenko, Konstantin Gudkov, Aleksei Lebedev +2
Text detection in natural images is a challenging but necessary task for many applications. Existing approaches utilize large deep convolutional neural networks making it difficult…