Search Results for author: Takehiko Ohkawa

Found 10 papers, 1 papers with code

Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation

no code implementations7 Mar 2024 Ruicong Liu, Takehiko Ohkawa, Mingfang Zhang, Yoichi Sato

These two stereo constraints are used in a complementary manner to generate pseudo-labels, allowing reliable adaptation.

3D Hand Pose Estimation

Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos

no code implementations28 Nov 2023 Takehiko Ohkawa, Takuma Yagi, Taichi Nishimura, Ryosuke Furuta, Atsushi Hashimoto, Yoshitaka Ushiku, Yoichi Sato

We propose a novel benchmark for cross-view knowledge transfer of dense video captioning, adapting models from web instructional videos with exocentric views to an egocentric view.

Dense Video Captioning Transfer Learning

AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation

no code implementations CVPR 2023 Takehiko Ohkawa, Kun He, Fadime Sener, Tomas Hodan, Luan Tran, Cem Keskin

To obtain high-quality 3D hand pose annotations for the egocentric images, we develop an efficient pipeline, where we use an initial set of manual annotations to train a model to automatically annotate a much larger dataset.

3D Hand Pose Estimation Action Classification

Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey

no code implementations5 Jun 2022 Takehiko Ohkawa, Ryosuke Furuta, Yoichi Sato

In this survey, we present a systematic review of 3D hand pose estimation from the perspective of efficient annotation and learning.

3D Hand Pose Estimation Domain Adaptation +1

Domain Adaptive Hand Keypoint and Pixel Localization in the Wild

no code implementations16 Mar 2022 Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato

We aim to improve the performance of regressing hand keypoints and segmenting pixel-level hand masks under new imaging conditions (e. g., outdoors) when we only have labeled images taken under very different conditions (e. g., indoors).

Domain Adaptation Knowledge Distillation

Background Mixup Data Augmentation for Hand and Object-in-Contact Detection

no code implementations28 Feb 2022 Koya Tango, Takehiko Ohkawa, Ryosuke Furuta, Yoichi Sato

Detecting the positions of human hands and objects-in-contact (hand-object detection) in each video frame is vital for understanding human activities from videos.

Contact Detection Data Augmentation +3

Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation

no code implementations29 Feb 2020 Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue

Herein, we propose Augmented Cyclic Consistency Regularization (ACCR), a novel regularization method for unpaired I2I translation.

Data Augmentation Image-to-Image Translation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.