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07/27/2023
Pre-training Vision Transformers with Very Limited Synthesized Images
Formula-driven supervised learning (FDSL) is a pre-training method that ...
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03/02/2023
Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves
Formula-driven supervised learning (FDSL) has been shown to be an effect...
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07/29/2022
Neural Density-Distance Fields
The success of neural fields for 3D vision tasks is now indisputable. Fo...
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06/18/2022
Replacing Labeled Real-image Datasets with Auto-generated Contours
In the present work, we show that the performance of formula-driven supe...
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03/25/2021
Describing and Localizing Multiple Changes with Transformers
Change captioning tasks aim to detect changes in image pairs observed be...
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03/24/2021
Can Vision Transformers Learn without Natural Images?
Can we complete pre-training of Vision Transformers (ViT) without natura...
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01/21/2021
Pre-training without Natural Images
Is it possible to use convolutional neural networks pre-trained without ...
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01/19/2021
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data
We propose a novel network initialization method using Perlin noise for ...
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07/14/2020
Alleviating Over-segmentation Errors by Detecting Action Boundaries
We propose an effective framework for the temporal action segmentation t...
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05/19/2020
Retrieving and Highlighting Action with Spatiotemporal Reference
In this paper, we present a framework that jointly retrieves and spatiot...
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04/10/2020
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?
How can we collect and use a video dataset to further improve spatiotemp...
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03/27/2020
Weakly Supervised Dataset Collection for Robust Person Detection
To construct an algorithm that can provide robust person detection, we p...
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02/29/2020
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation
Unpaired image-to-image (I2I) translation has received considerable atte...
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05/19/2019
What Do Adversarially Robust Models Look At?
In this paper, we address the open question: "What do adversarially robu...
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11/16/2018
Automatic Paper Summary Generation from Visual and Textual Information
Due to the recent boom in artificial intelligence (AI) research, includi...
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09/22/2018
Understanding Fake Faces
Face recognition research is one of the most active topics in computer v...
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05/30/2018
Neural Joking Machine : Humorous image captioning
What is an effective expression that draws laughter from human beings? I...
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04/08/2018
Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB
In this paper, we propose a novel approach for traffic accident anticipa...
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04/07/2018
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents
Because of their recent introduction, self-driving cars and advanced dri...
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11/27/2017
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
The purpose of this study is to determine whether current video datasets...
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08/25/2017
Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition
Convolutional neural networks with spatio-temporal 3D kernels (3D CNNs) ...
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07/20/2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
The paper gives futuristic challenges disscussed in the cvpaper.challeng...
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05/10/2017
Collaborative Descriptors: Convolutional Maps for Preprocessing
The paper presents a novel concept for collaborative descriptors between...
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04/07/2017
Could you guess an interesting movie from the posters?: An evaluation of vision-based features on movie poster database
In this paper, we aim to estimate the Winner of world-wide film festival...
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03/23/2017
Changing Fashion Cultures
The paper presents a novel concept that analyzes and visualizes worldwid...
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08/30/2016
Motion Representation with Acceleration Images
Information of time differentiation is extremely important cue for a mot...
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08/29/2016
Human Action Recognition without Human
The objective of this paper is to evaluate "human action recognition wit...
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05/26/2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
The "cvpaper.challenge" is a group composed of members from AIST, Tokyo ...
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04/26/2016
Semantic Change Detection with Hypermaps
Change detection is the study of detecting changes between two different...
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09/25/2015
