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08/17/2023
Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction
Safety-critical applications such as autonomous vehicles and social robo...
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08/10/2023
Interaction-aware Joint Attention Estimation Using People Attributes
This paper proposes joint attention estimation in a single image. Differ...
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07/18/2023
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Small Object Detection (SOD) is an important machine vision topic becaus...
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06/15/2023
R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction
Image-based motion prediction is one of the essential techniques for rob...
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02/24/2023
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images
This paper proposes crack segmentation augmented by super resolution (SR...
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02/22/2023
KS-DETR: Knowledge Sharing in Attention Learning for Detection Transformer
Scaled dot-product attention applies a softmax function on the scaled do...
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02/16/2023
Kernelized Back-Projection Networks for Blind Super Resolution
Since non-blind Super Resolution (SR) fails to super-resolve Low-Resolut...
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02/10/2023
Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding
This paper proposes a probabilistic motion prediction method for long mo...
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08/27/2022
Actor-identified Spatiotemporal Action Detection – Detecting Who Is Doing What in Videos
The success of deep learning on video Action Recognition (AR) has motiva...
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03/17/2022
MotionAug: Augmentation with Physical Correction for Human Motion Prediction
This paper presents a motion data augmentation scheme incorporating moti...
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06/07/2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
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09/14/2020
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
This paper reviews the video extreme super-resolution challenge associat...
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06/04/2019
Semi- and Weakly-supervised Human Pose Estimation
For human pose estimation in still images, this paper proposes three sem...
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03/25/2019
Recurrent Back-Projection Network for Video Super-Resolution
We proposed a novel architecture for the problem of video super-resoluti...
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01/26/2019
Human Pose Estimation using Motion Priors and Ensemble Models
Human pose estimation in images and videos is one of key technologies fo...
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03/30/2018
Task-Driven Super Resolution: Object Detection in Low-resolution Images
We consider how image super resolution (SR) can contribute to an object ...
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03/07/2018