Search Results for author:
Found 19 papers, 5 papers with code
Technical Report for ReID-SAM on SkiTB Visual Tracking Challenge 2025
This report introduces ReID-SAM, a novel model developed for the SkiTB Challenge that addresses the complexities of tracking skier appearance.
PackDiT: Joint Human Motion and Text Generation via Mutual Prompting
Human motion generation has advanced markedly with the advent of diffusion models.
SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
The Segment Anything Model 2 (SAM 2) has demonstrated strong performance in object segmentation tasks but faces challenges in visual object tracking, particularly when managing crowded scenes with fast-moving or self-occluding objects.
Ranked #1 on
Visual Object Tracking
on GOT-10k
GTA: Global Tracklet Association for Multi-Object Tracking in Sports
The proposed method achieved a new state-of-the-art performance on the SportsMOT dataset with HOTA score of 81. 04%.
Ranked #1 on
Multiple Object Tracking
on SportsMOT
(using extra training data)
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check
In the domain of autonomous driving, the integration of multi-modal perception techniques based on data from diverse sensors has demonstrated substantial progress.
RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark
Traditional methods for human localization and pose estimation (HPE), which mainly rely on RGB images as an input modality, confront substantial limitations in real-world applications due to privacy concerns.
An Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence
Another contribution of this study is the proposal of a new evaluation metric mHOTA which provides a better assessment of tracking performance over prolonged periods.
Ranked #6 on
Multi-Object Tracking
on 2024 AI City Challenge
VersaT2I: Improving Text-to-Image Models with Versatile Reward
Recent text-to-image (T2I) models have benefited from large-scale and high-quality data, demonstrating impressive performance.
Benchmarking Badminton Action Recognition with a New Fine-Grained Dataset
In this paper, we introduce the VideoBadminton dataset derived from high-quality badminton footage.
MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking
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.
Ranked #11 on
Multi-Object Tracking
on SportsMOT
(using extra training data)
A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video
Dense object counting or crowd counting has come a long way thanks to the recent development in the vision community.
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
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
Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking
Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision has been challenging for several reasons.
Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports
Additionally, relying on the Kalman filter in recent tracking algorithms falls short when object motion defies its linear assumption.
Ranked #5 on
Multiple Object Tracking
on SportsMOT
(using extra training data)
Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment
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.
Multi-target multi-camera vehicle tracking using transformer-based camera link model and spatial-temporal information
Multi-target multi-camera tracking (MTMCT) of vehicles, i. e. tracking vehicles across multiple cameras, is a crucial application for the development of smart city and intelligent traffic system.
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
The 1$^{\text{st}}$ Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritime Object Detection, (ii) UAV-based Maritime Object Tracking, (iii) USV-based Maritime Obstacle Segmentation and (iv) USV-based Maritime Obstacle Detection.
Ki-67 Index Measurement in Breast Cancer Using Digital Image Analysis
Ki-67 is a nuclear protein that can be produced during cell proliferation.
Observation Centric and Central Distance Recovery on Sports Player Tracking
Multi-Object Tracking over humans has improved rapidly with the development of object detection and re-identification.
