activity
20152026
most citedFaceNet: A Unified Embedding for Face Recognition and Clustering

11.7k citations · 21.5k across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

FFVO: A Feedforward Pose Decoder for Long-Horizon Visual Odometry

Meng-Li Shih, Shih-Yang Su, Yuliang Zou +7

Stable and reliable 4D spatial understanding is fundamental for autonomous driving systems. While feedforward reconstruction networks can estimate camera motion and 3D structure in…

cs.CV2019★ 9 cited

MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices

Bo Chen, Golnaz Ghiasi, Hanxiao Liu +4

Despite the blooming success of architecture search for vision tasks in resource-constrained environments, the design of on-device object detection architectures have mostly been m…

cs.CV2019★ 30 cited

Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

Mason Liu, Menglong Zhu, Marie White +2

With a single eye fixation lasting a fraction of a second, the human visual system is capable of forming a rich representation of a complex environment, reaching a holistic underst…

cs.LG2017★ 28 cited

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Benoit Jacob, Skirmantas Kligys, Bo Chen +5

The rising popularity of intelligent mobile devices and the daunting computational cost of deep learning-based models call for efficient and accurate on-device inference schemes. W…

cs.CV2017★ 9.8k cited

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Andrew G. Howard, Menglong Zhu, Bo Chen +5

We present a class of efficient models called MobileNets for mobile and embedded vision applications. MobileNets are based on a streamlined architecture that uses depth-wise separa…

cs.CV2015★ 11.7k cited

FaceNet: A Unified Embedding for Face Recognition and Clustering

Florian Schroff, Dmitry Kalenichenko, James Philbin

Despite significant recent advances in the field of face recognition, implementing face verification and recognition efficiently at scale presents serious challenges to current app…