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20212025
most citedType-to-Track: Retrieve Any Object via Prompt-based Tracking

9 citations · 31 across the 19 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 1 cited

Contextual Explainable Video Representation: Human Perception-based Understanding

Khoa Vo, Kashu Yamazaki, Phong X. Nguyen +3

Video understanding is a growing field and a subject of intense research, which includes many interesting tasks to understanding both spatial and temporal information, e.g., action…

cs.CV2022★ 4 cited

Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach

Pha Nguyen, Kha Gia Quach, Chi Nhan Duong +3

The development of autonomous vehicles generates a tremendous demand for a low-cost solution with a complete set of camera sensors capturing the environment around the car. It is e…

cs.CV2022

Depth Perspective-aware Multiple Object Tracking

Kha Gia Quach, Huu Le, Pha Nguyen +3

This paper aims to tackle Multiple Object Tracking (MOT), an important problem in computer vision but remains challenging due to many practical issues, especially occlusions. Indee…

cs.CV2022

Self-supervised Domain Adaptation in Crowd Counting

Pha Nguyen, Thanh-Dat Truong, Miaoqing Huang +3

Self-training crowd counting has not been attentively explored though it is one of the important challenges in computer vision. In practice, the fully supervised methods usually re…

cs.CV2022★ 2 cited

Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles

Pha Nguyen, Kha Gia Quach, Chi Nhan Duong +3

The development of autonomous vehicles provides an opportunity to have a complete set of camera sensors capturing the environment around the car. Thus, it is important for object d…