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03/14/2023
Partial Neural Optimal Transport
We propose a novel neural method to compute partial optimal transport (O...
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03/10/2023
Neural Gromov-Wasserstein Optimal Transport
We present a scalable neural method to solve the Gromov-Wasserstein (GW)...
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03/01/2023
Label Attention Network for sequential multi-label classification
Multi-label classification is a natural problem statement for sequential...
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08/31/2022
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise
There is a constant need for high-performing and computationally efficie...
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06/15/2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
Wasserstein Generative Adversarial Networks (WGANs) are the popular gene...
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02/02/2022
Unpaired Image Super-Resolution with Optimal Transport Maps
Real-world image super-resolution (SR) tasks often do not have paired da...
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08/11/2021
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks
In this paper, we present GCN-Denoiser, a novel feature-preserving mesh ...
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05/25/2021
Towards Unpaired Depth Enhancement and Super-Resolution in the Wild
Depth maps captured with commodity sensors are often of low quality and ...
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04/03/2021
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences
There is emerging attention towards working with event sequences. In par...
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11/30/2020
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes
Sharp feature lines carry essential information about human-made objects...
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06/26/2020
Making DensePose fast and light
DensePose estimation task is a significant step forward for enhancing us...
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06/12/2020
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing
Neural Architecture Search (NAS) is a promising and rapidly evolving res...
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03/11/2020
Deep Vectorization of Technical Drawings
We present a new method for vectorization of technical line drawings, su...
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03/07/2020
Reinforcement Learning for Combinatorial Optimization: A Survey
Combinatorial optimization (CO) is the workhorse of numerous important a...
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08/18/2019
Sensors and Game Synchronization for Data Analysis in eSports
eSports industry has greatly progressed within the last decade in terms ...
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12/15/2018
ABC: A Big CAD Model Dataset For Geometric Deep Learning
We introduce ABC-Dataset, a collection of one million Computer-Aided Des...
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12/07/2018
Esports Athletes and Players: a Comparative Study
We present a comparative study of the players' and professional athletes...
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08/16/2016
