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20162022
most citedShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks

26 citations · 84 across the 14 of their papers we have counts for

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25 papers · 1 filter

cs.CV2026

QuPAINT: Physics-Aware Multimodal Reasoning for Quantum Material Characterization

Sankalp Pandey, Xuan-Bac Nguyen, Hoang-Quan Nguyen +4

Characterizing two-dimensional (2D) quantum materials by optical microscopy requires localizing exfoliated flakes and determining their layer thickness from subtle optical contrast…

cs.CV2022

Neural Cell Video Synthesis via Optical-Flow Diffusion

Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris +1

The biomedical imaging world is notorious for working with small amounts of data, frustrating state-of-the-art efforts in the computer vision and deep learning worlds. With large d…

cs.CV20224 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

OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation

Thanh-Dat Truong, Naga Venkata Sai Raviteja Chappa, Xuan Bac Nguyen +3

Unsupervised domain adaptation is one of the challenging problems in computer vision. This paper presents a novel approach to unsupervised domain adaptations based on the optimal t…

cs.CV20222 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…

cs.CV20226 cited

DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

Thanh-Dat Truong, Quoc-Huy Bui, Chi Nhan Duong +4

Human action recognition has recently become one of the popular research topics in the computer vision community. Various 3D-CNN based methods have been presented to tackle both th…