5 citations · 5 across the 8 of their papers we have counts for
8 papers
CalibAnyView: Beyond Single-View Camera Calibration in the Wild
Boying Li, Cheng Zhang, Weirong Chen +5
Camera calibration is fundamental to reliable geometric perception, yet classical approaches rely on dedicated targets, successful reconstruction, or dense view coverage, which cas…
JRDB-Pose3D: A Multi-person 3D Human Pose and Shape Estimation Dataset for Robotics
Sandika Biswas, Kian Izadpanah, Hamid Rezatofighi
Real-world scenes are inherently crowded. Hence, estimating 3D poses of all nearby humans, tracking their movements over time, and understanding their activities within social and…
Knowledge Combination to Learn Rotated Detection Without Rotated Annotation
Tianyu Zhu, Bryce Ferenczi, Pulak Purkait +3
Rotated bounding boxes drastically reduce output ambiguity of elongated objects, making it superior to axis-aligned bounding boxes. Despite the effectiveness, rotated detectors are…
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking
Chamath Abeysinghe, Chris Reid, Hamid Rezatofighi +1
Tracking individuals is a vital part of many experiments conducted to understand collective behaviour. Ants are the paradigmatic model system for such experiments but their lack of…
JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking
Edward Vendrow, Duy Tho Le, Jianfei Cai +1
Autonomous robotic systems operating in human environments must understand their surroundings to make accurate and safe decisions. In crowded human scenes with close-up human-robot…
Learning of Global Objective for Network Flow in Multi-Object Tracking
Shuai Li, Yu Kong, Hamid Rezatofighi
This paper concerns the problem of multi-object tracking based on the min-cost flow (MCF) formulation, which is conventionally studied as an instance of linear program. Given its c…
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers
Tianyu Zhu, Markus Hiller, Mahsa Ehsanpour +4
Tracking a time-varying indefinite number of objects in a video sequence over time remains a challenge despite recent advances in the field. Most existing approaches are not able t…
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
Fatemeh Saleh, Sadegh Aliakbarian, Hamid Rezatofighi +2
Despite the recent advances in multiple object tracking (MOT), achieved by joint detection and tracking, dealing with long occlusions remains a challenge. This is due to the fact t…