Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals

6 June 2024

Zhicheng Cai

Papers citing "Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals"

31 / 31 papers shown

Title
X-MLP: A Patch Embedding-Free MLP Architecture for Vision Xinyue Wang Zhicheng Cai Chenglei Peng ViT 65 5 0 02 Jul 2023
FalconNet: Factorization for the Light-weight ConvNets Zhicheng Cai Qiu Shen 85 14 0 10 Jun 2023
WIRE: Wavelet Implicit Neural Representations Vishwanath Saragadam Daniel LeJeune Jasper Tan Guha Balakrishnan Ashok Veeraraghavan Richard G. Baraniuk AI4CE 66 138 0 05 Jan 2023
Inception Transformer Chenyang Si Weihao Yu Pan Zhou Yichen Zhou Xinchao Wang Shuicheng Yan ViT 66 193 0 25 May 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 152 5,158 0 10 Jan 2022
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation David B. Lindell Dave Van Veen Jeong Joon Park Gordon Wetzstein 68 149 0 09 Dec 2021
Implicit Neural Representations for Image Compression Yannick Strümpler Janis Postels Ren Yang Luc van Gool F. Tombari 64 164 0 08 Dec 2021
NeRV: Neural Representations for Videos Hao Chen Bo He Hanyu Wang Yixuan Ren Ser-Nam Lim Abhinav Shrivastava 53 249 0 26 Oct 2021
Diverse Branch Block: Building a Convolution as an Inception-like Unit Xiaohan Ding Xinming Zhang Jungong Han Guiguang Ding AI4CE 54 286 0 24 Mar 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields Jonathan T. Barron B. Mildenhall Matthew Tancik Peter Hedman Ricardo Martín Brualla Pratul P. Srinivasan 96 1,971 0 24 Mar 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 270 1,589 0 11 Jan 2021
WeightNet: Revisiting the Design Space of Weight Networks Ningning Ma Xinming Zhang Jiawei Huang Jian Sun 53 108 0 23 Jul 2020
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting Xiaohan Ding Tianxiang Hao Jianchao Tan Ji Liu Jungong Han Yuchen Guo Guiguang Ding 54 165 0 07 Jul 2020
DO-Conv: Depthwise Over-parameterized Convolutional Layer Jinming Cao Yangyan Li Mingchao Sun Ying-Cong Chen Dani Lischinski Daniel Cohen-Or Baoquan Chen Changhe Tu OOD 62 171 0 22 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 123 2,548 0 17 Jun 2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density Ronen Basri Meirav Galun Amnon Geifman David Jacobs Yoni Kasten S. Kritchman 68 184 0 10 Mar 2020
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision Michael Niemeyer L. Mescheder Michael Oechsle Andreas Geiger 3DH 3DV 69 995 0 16 Dec 2019
A Fourier Perspective on Model Robustness in Computer Vision Dong Yin Raphael Gontijo-Lopes Jonathon Shlens E. D. Cubuk Justin Gilmer OOD 81 497 0 21 Jun 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 59 522 0 28 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 133 18,106 0 28 May 2019
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization Shunsuke Saito Zeng Huang Ryota Natsume Shigeo Morishima Angjoo Kanazawa Hao Li 3DH 137 1,256 0 13 May 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 120 3,680 0 16 Jan 2019
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 126 1,436 0 22 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 739 3,119 0 04 Jun 2018
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization Sanjeev Arora Nadav Cohen Elad Hazan 97 483 0 19 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 173 19,262 0 13 Jan 2018
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks Lei Huang Xianglong Liu B. Lang Adams Wei Yu Yongliang Wang Bo Li ODL 71 228 0 16 Sep 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 410 26,465 0 05 Sep 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 381 10,481 0 21 Jul 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 448 43,277 0 11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014