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T-Basis: a Compact Representation for Neural Networks

T-Basis: a Compact Representation for Neural Networks

13 July 2020
Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
Menelaos Kanakis
Dengxin Dai
Luc Van Gool
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Papers citing "T-Basis: a Compact Representation for Neural Networks"

23 / 23 papers shown
Title
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Xubin Wang
Zhiqing Tang
Jianxiong Guo
Tianhui Meng
Chenhao Wang
Tian-sheng Wang
Weijia Jia
50
0
0
08 Mar 2025
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
Xubin Wang
Weijia Jia
36
0
0
08 Jan 2025
Decomposition Ascribed Synergistic Learning for Unified Image
  Restoration
Decomposition Ascribed Synergistic Learning for Unified Image Restoration
Jinghao Zhang
Fengmei Zhao
21
2
0
01 Aug 2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance
  between Compact Architecture and Fast Training
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training
Xinwei Ou
Zhangxin Chen
Ce Zhu
Yipeng Liu
21
4
0
22 Mar 2023
Towards Practical Control of Singular Values of Convolutional Layers
Towards Practical Control of Singular Values of Convolutional Layers
Alexandra Senderovich
Ekaterina Bulatova
Anton Obukhov
M. Rakhuba
AAML
11
9
0
24 Nov 2022
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022
  challenge: Report
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Jin Zhang
Feng Zhang
G. Yu
...
Mingyang Qian
Huixin Ma
Yanan Li
Xiaotao Wang
Lei Lei
15
10
0
07 Nov 2022
Power Efficient Video Super-Resolution on Mobile NPUs with Deep
  Learning, Mobile AI & AIM 2022 challenge: Report
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Cheng-Ming Chiang
Hsien-Kai Kuo
Yu-Syuan Xu
...
Kele Xu
Li Liu
Zehua Cheng
Wenyi Lian
W. Lian
SupR
22
10
0
07 Nov 2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs,
  Mobile AI & AIM 2022 challenge: Report
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Maurizio Denna
Abdelbadie Younes
Ganzorig Gankhuyag
...
Jing Liu
Garas Gendy
Nabil Sabor
J. Hou
Guanghui He
SupR
MQ
20
31
0
07 Nov 2022
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI &
  AIM 2022 Challenge: Report
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
Radu Timofte
Lukasz Treszczotko
Xin-ke Chang
...
Dongwon Park
Seongmin Hong
Joonhee Lee
Seunggyu Lee
Sengsub Chun
23
17
0
07 Nov 2022
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI &
  AIM 2022 Challenge: Report
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Andrey D. Ignatov
Radu Timofte
Shuai Liu
Chaoyu Feng
Furui Bai
...
Xin Lou
Wei Zhou
Cong Pang
Haina Qin
Mingxuan Cai
21
23
0
07 Nov 2022
TT-NF: Tensor Train Neural Fields
TT-NF: Tensor Train Neural Fields
Anton Obukhov
Mikhail (Misha) Usvyatsov
Christos Sakaridis
Konrad Schindler
Luc Van Gool
43
7
0
30 Sep 2022
Compact Model Training by Low-Rank Projection with Energy Transfer
Compact Model Training by Low-Rank Projection with Energy Transfer
K. Guo
Zhenquan Lin
Xiaofen Xing
Fang Liu
Xiangmin Xu
22
2
0
12 Apr 2022
ZippyPoint: Fast Interest Point Detection, Description, and Matching
  through Mixed Precision Discretization
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization
Menelaos Kanakis
S. Maurer
Matteo Spallanzani
Ajad Chhatkuli
Luc Van Gool
3DPC
24
13
0
07 Mar 2022
Fast and Accurate Camera Scene Detection on Smartphones
Fast and Accurate Camera Scene Detection on Smartphones
Angeline Pouget
Sidharth Ramesh
Maximilian Giang
Ramithan Chandrapalan
Toni Tanner
Moritz Prussing
Radu Timofte
Andrey D. Ignatov
3DH
15
5
0
17 May 2021
Fast and Accurate Quantized Camera Scene Detection on Smartphones,
  Mobile AI 2021 Challenge: Report
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
Radu Timofte
Sheng Chen
Xin Xia
...
K. Lyda
L. Khojoyan
Abhishek Thanki
Sayak Paul
Shahid Siddiqui
MQ
15
20
0
17 May 2021
Fast and Accurate Single-Image Depth Estimation on Mobile Devices,
  Mobile AI 2021 Challenge: Report
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
D. Plowman
Samarth Shukla
Radu Timofte
...
Tianpeng Feng
Yang Liu
Chuannan Sheng
Jian Yin
Fausto T. Benavide
MDE
24
35
0
17 May 2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning,
  Mobile AI 2021 Challenge: Report
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Andrés Romero
Heewon Kim
Radu Timofte
C. Ho
...
Xiumei Wang
Jiaming Guo
Xueyi Zhou
Hao Jia
Youliang Yan
SupR
22
52
0
17 May 2021
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI
  2021 Challenge: Report
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Radu Timofte
Maurizio Denna
Abdelrazak Younes
A. Lek
...
Kun Zeng
Peirong Li
Zhi-Hao Liu
Shiqi Xue
Shengpeng Wang
SupR
MQ
13
59
0
17 May 2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI
  2021 Challenge: Report
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Kim Byeoung-su
Radu Timofte
Angeline Pouget
Fenglong Song
...
Lei Lei
Chaoyu Feng
L. Huang
Z. Lei
Feifei Chen
17
30
0
17 May 2021
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021
  Challenge: Report
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Cheng-Ming Chiang
Hsien-Kai Kuo
Anastasia Sycheva
Radu Timofte
...
K. Upla
Kiran Raja
Raghavendra Ramachandra
Christoph Busch
Etienne de Stoutz
28
47
0
17 May 2021
Spectral Tensor Train Parameterization of Deep Learning Layers
Spectral Tensor Train Parameterization of Deep Learning Layers
Anton Obukhov
M. Rakhuba
Alexander Liniger
Zhiwu Huang
Stamatios Georgoulis
Dengxin Dai
Luc Van Gool
23
10
0
07 Mar 2021
Reparameterizing Convolutions for Incremental Multi-Task Learning
  without Task Interference
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
22
72
0
24 Jul 2020
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
90
515
0
09 Apr 2018
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