3 code implementations • 27 Jul 2021 • Denis Gudovskiy, Shun Ishizaka, Kazuki Kozuka
Our approach results in a computationally and memory-efficient model: CFLOW-AD is faster and smaller by a factor of 10x than prior state-of-the-art with the same input setting.
Ranked #13 on Anomaly Detection on VisA (Detection AUROC metric)
1 code implementation • NeurIPS 2023 • Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
Open-vocabulary image segmentation aims to partition an image into semantic regions according to arbitrary text descriptions.
Ranked #1 on Image Segmentation on Pascal Panoptic Parts
1 code implementation • CVPR 2021 • Denis Gudovskiy, Luca Rigazio, Shun Ishizaka, Kazuki Kozuka, Sotaro Tsukizawa
To overcome these limitations, we reformulate AutoAugment as a generalized automated dataset optimization (AutoDO) task that minimizes the distribution shift between test data and distorted train dataset.
1 code implementation • 25 Aug 2022 • Akash Gokul, Konstantinos Kallidromitis, Shufan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell, Colorado J Reed
Recent works in self-supervised learning have demonstrated strong performance on scene-level dense prediction tasks by pretraining with object-centric or region-based correspondence objectives.
1 code implementation • CVPR 2021 • Nishant Rai, Haofeng Chen, Jingwei Ji, Rishi Desai, Kazuki Kozuka, Shun Ishizaka, Ehsan Adeli, Juan Carlos Niebles
However, there remains a lack of studies that extend action composition and leverage multiple viewpoints and multiple modalities of data for representation learning.
Ranked #1 on Video Classification on Home Action Genome
1 code implementation • 24 Oct 2021 • Konstantinos Kallidromitis, Denis Gudovskiy, Kazuki Kozuka, Iku Ohama, Luca Rigazio
In this paper, we propose a novel self-supervised learning framework that combines contrastive learning with neural processes.
no code implementations • 15 Apr 2022 • Risako Tanigawa, Yasunori Ishii, Kazuki Kozuka, Takayoshi Yamashita
In inference, it is possible to obtain instance segmentation results only from sound images.
no code implementations • 11 May 2022 • Risako Tanigawa, Yasunori Ishii, Kazuki Kozuka, Takayoshi Yamashita
They are highly and widely used in tasks such as segmentation.
no code implementations • 12 Sep 2022 • Shungo Fujii, Yasunori Ishii, Kazuki Kozuka, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Data augmentation is an essential technique for improving recognition accuracy in object recognition using deep learning.
no code implementations • 16 Feb 2023 • Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka
Adversarial training is a popular and straightforward technique to defend against the threat of adversarial examples.
no code implementations • 31 Dec 2023 • Tiange Xiang, Adam Sun, Scott Delp, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli
In this work, we present Wild2Avatar, a neural rendering approach catered for occluded in-the-wild monocular videos.
no code implementations • 6 Apr 2024 • Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka
We present Diffusion-KTO, a novel approach for aligning text-to-image diffusion models by formulating the alignment objective as the maximization of expected human utility.