2 citations · 7 across the 8 of their papers we have counts for
8 papers
Evolving in Tasks: Empowering the Multi-modality Large Language Model as the Computer Use Agent
Yuhao Cheng, Liang Tang, Shuxian Li +5
Computer use agents represent an emerging area in artificial intelligence, aiming to operate computers autonomously to fulfill user tasks, attracting significant attention from bot…
PCIE_EgoHandPose Solution for EgoExo4D Hand Pose Challenge
Feng Chen, Ling Ding, Kanokphan Lertniphonphan +3
This report presents our team's 'PCIE_EgoHandPose' solution for the EgoExo4D Hand Pose Challenge at CVPR2024. The main goal of the challenge is to accurately estimate hand poses, w…
Technical Report for Argoverse Challenges on Unified Sensor-based Detection, Tracking, and Forecasting
Zhepeng Wang, Feng Chen, Kanokphan Lertniphonphan +6
This report presents our Le3DE2E solution for unified sensor-based detection, tracking, and forecasting in Argoverse Challenges at CVPR 2023 Workshop on Autonomous Driving (WAD). W…
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
Benjamin Kiefer, Lojze Žust, Matej Kristan +46
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). Three challenge…
ReIDTracker Sea: the technical report of BoaTrack and SeaDronesSee-MOT challenge at MaCVi of WACV24
Kaer Huang, Weitu Chong
Multi-Object Tracking is one of the most important technologies in maritime computer vision. Our solution tries to explore Multi-Object Tracking in maritime Unmanned Aerial vehicle…
1st Place Solution for CVPR2023 BURST Long Tail and Open World Challenges
Kaer Huang
Currently, Video Instance Segmentation (VIS) aims at segmenting and categorizing objects in videos from a closed set of training categories that contain only a few dozen of categor…
ReIDTrack: Multi-Object Track and Segmentation Without Motion
Kaer Huang, Bingchuan Sun, Feng Chen +5
In recent years, dominant Multi-object tracking (MOT) and segmentation (MOTS) methods mainly follow the tracking-by-detection paradigm. Transformer-based end-to-end (E2E) solutions…
Lane detection with Position Embedding
Jun Xie, Jiacheng Han, Dezhen Qi +3
Recently, lane detection has made great progress in autonomous driving. RESA (REcurrent Feature-Shift Aggregator) is based on image segmentation. It presents a novel module to enri…