no code implementations • 16 Mar 2024 • Hsiang-Wei Huang, Cheng-Yen Yang, Wenhao Chai, Zhongyu Jiang, Jenq-Neng Hwang
In the field of multi-object tracking (MOT), traditional methods often rely on the Kalman Filter for motion prediction, leveraging its strengths in linear motion scenarios.
no code implementations • 6 Mar 2024 • Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Hao Wang, Farron Wallace, Jenq-Neng Hwang
Dense object counting or crowd counting has come a long way thanks to the recent development in the vision community.
no code implementations • 4 Mar 2024 • Lei LI, Tianfang Zhang, Zhongyu Jiang, Cheng-Yen Yang, Jenq-Neng Hwang, Stefan Oehmcke, Dimitri Pierre Johannes Gominski, Fabian Gieseke, Christian Igel
We leverage the fusion of three-dimensional LiDAR measurements and 2D imagery to facilitate the accurate counting of trees.
no code implementations • 24 Nov 2023 • Zhongyu Jiang, Wenhao Chai, Lei LI, Zhuoran Zhou, Cheng-Yen Yang, Jenq-Neng Hwang
In this paper, we propose UniHPE, a unified Human Pose Estimation pipeline, which aligns features from all three modalities, i. e., 2D human pose estimation, lifting-based and image-based 3D human pose estimation, in the same pipeline.
no code implementations • 23 Nov 2023 • Benjamin Kiefer, Lojze Žust, Matej Kristan, Janez Perš, Matija Teršek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Angel Bueno Rodriguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanić, Magdalena Šumunec, Nadir Kapetanović, Andreas Michel, Wolfgang Gross, Martin Weinmann
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV).
Ranked #1 on Semantic Segmentation on LaRS
1 code implementation • 17 Nov 2023 • Zhuoran Zhou, Zhongyu Jiang, Wenhao Chai, Cheng-Yen Yang, Lei LI, Jenq-Neng Hwang
We further apply a guided diffusion model to domain adapt 3D adult pose to infant pose to supplement small datasets.
no code implementations • 6 Nov 2023 • Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Chung-I Huang, Jenq-Neng Hwang
Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision has been challenging for several reasons.
1 code implementation • 7 Jul 2023 • Zhongyu Jiang, Zhuoran Zhou, Lei LI, Wenhao Chai, Cheng-Yen Yang, Jenq-Neng Hwang
Learning-based methods have dominated the 3D human pose estimation (HPE) tasks with significantly better performance in most benchmarks than traditional optimization-based methods.
Ranked #10 on 3D Human Pose Estimation on 3DPW (PA-MPJPE metric)
no code implementations • 29 Jun 2023 • Zhenyu Zhang, Wenhao Chai, Zhongyu Jiang, Tian Ye, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
In this paper, we propose MPM, a unified 2D-3D human pose representation framework via masked pose modeling.
2 code implementations • 19 Apr 2023 • Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Pyong-Kun Kim, Kyoungoh Lee, Kwangju Kim, Samartha Ramkumar, Chaitanya Mullapudi, In-Su Jang, Chung-I Huang, Jenq-Neng Hwang
Multi-camera multiple people tracking has become an increasingly important area of research due to the growing demand for accurate and efficient indoor people tracking systems, particularly in settings such as retail, healthcare centers, and transit hubs.
no code implementations • 10 Apr 2023 • Cheng-Yen Yang, Alan Yu Shyang Tan, Melanie J. Underwood, Charlotte Bodie, Zhongyu Jiang, Steve George, Karl Warr, Jenq-Neng Hwang, Emma Jones
The aim of in-trawl catch monitoring for use in fishing operations is to detect, track and classify fish targets in real-time from video footage.
1 code implementation • ICCV 2023 • Wenhao Chai, Zhongyu Jiang, Jenq-Neng Hwang, Gaoang Wang
We observe that the degradation is caused by two factors: 1) the large distribution gap over global positions of poses between the source and target datasets due to variant camera parameters and settings, and 2) the deficient diversity of local structures of poses in training.
3D Human Pose Estimation 3D Human Pose Estimation in Limited Data +3
no code implementations • 8 Jan 2023 • Cheng-Yen Yang, Jiajia Luo, Lu Xia, Yuyin Sun, Nan Qiao, Ke Zhang, Zhongyu Jiang, Jenq-Neng Hwang
By adding a camera parameter branch, any in-the-wild 2D annotations can be fed into our pipeline to boost the training diversity and the 3D poses can be implicitly learned by reprojecting back to 2D.
Ranked #68 on 3D Human Pose Estimation on Human3.6M
no code implementations • 4 May 2022 • Cheng-Yen Yang, Zhongyu Jiang, Shih-Yu Gu, Jenq-Neng Hwang, Jang-Hee Yoo
Due to limited public infant-related datasets, many works use the SMIL-based method to generate synthetic infant images for training.
1 code implementation • 9 Feb 2021 • Yizhou Wang, Zhongyu Jiang, Yudong Li, Jenq-Neng Hwang, Guanbin Xing, Hui Liu
Finally, we propose a method to evaluate the object detection performance of the RODNet.
1 code implementation • 3 Mar 2020 • Yizhou Wang, Zhongyu Jiang, Xiangyu Gao, Jenq-Neng Hwang, Guanbin Xing, Hui Liu
Radar is usually more robust than the camera in severe driving scenarios, e. g., weak/strong lighting and bad weather.