no code implementations • 3 Jan 2025 • Nisha Huang, Kaer Huang, Yifan Pu, Jiangshan Wang, Jie Guo, Yiqiang Yan, Xiu Li
However, despite their capabilities, direct conditional guidance approaches often face challenges in balancing the expressiveness of textual semantics with the diversity of output results while capturing stylistic features.
1 code implementation • 18 Jun 2024 • Feng Chen, Ling Ding, Kanokphan Lertniphonphan, Jian Li, Kaer Huang, Zhepeng Wang
Our approach achieved the 1st position in the Hand Pose challenge with 25. 51 MPJPE and 8. 49 PA-MPJPE.
no code implementations • 27 Feb 2024 • Yushan Han, Kaer Huang
Efficiently modeling spatio-temporal relations of objects is a key challenge in visual object tracking (VOT).
no code implementations • 27 Nov 2023 • Zhepeng Wang, Feng Chen, Kanokphan Lertniphonphan, Siwei Chen, Jinyao Bao, Pengfei Zheng, Jinbao Zhang, Kaer Huang, Tao Zhang
We achieved 1st place in Detection, Tracking, and Forecasting on the E2E Forecasting track in Argoverse Challenges at CVPR 2023 WAD.
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
no code implementations • 12 Nov 2023 • Kaer Huang, Weitu Chong
At the same time, most of the current Multi-Object Tracking algorithms still require video annotation data which is costly to obtain for training.
no code implementations • 8 Aug 2023 • Kaer Huang
for the open-world challenges, we only use 64 classes (Intersection classes of BURST Train subset and COCO dataset, without LVIS dataset) annotations data training, and testing on BURST test set data and get 61. 4 OWTAall, ranking 1st in the benchmark.
no code implementations • 3 Aug 2023 • Kaer Huang, Bingchuan Sun, Feng Chen, Tao Zhang, Jun Xie, Jian Li, Christopher Walter Twombly, Zhepeng Wang
Association techniques mainly depend on the combination of motion and appearance information.
no code implementations • 23 Mar 2022 • Jun Xie, Jiacheng Han, Dezhen Qi, Feng Chen, Kaer Huang, Jianwei Shuai
Recently, lane detection has made great progress in autonomous driving.
Ranked #2 on
Lane Detection
on TuSimple