activity
20182026
most citedLiftPool: Bidirectional ConvNet Pooling

9 citations · 16 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding

Zhen Wang, Jiaojiao Zhao, Qilong Wang +2

Fine-Grained Domain Generalization (FGDG) presents greater challenges than conventional domain generalization due to the subtle inter-class differences and relatively pronounced in…

cs.CV2024

The SkatingVerse Workshop & Challenge: Methods and Results

Jian Zhao, Lei Jin, Jianshu Li +16

The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding. The SkatingVerse dataset used for the Skat…

cs.CV2023★ 2 cited

The 3rd Anti-UAV Workshop & Challenge: Methods and Results

Jian Zhao, Jianan Li, Lei Jin +20

The 3rd Anti-UAV Workshop & Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UA…

cs.CV2021★ 9 cited

LiftPool: Bidirectional ConvNet Pooling

Jiaojiao Zhao, Cees G. M. Snoek

Pooling is a critical operation in convolutional neural networks for increasing receptive fields and improving robustness to input variations. Most existing pooling operations down…

cs.CV2021

TubeR: Tubelet Transformer for Video Action Detection

Jiaojiao Zhao, Yanyi Zhang, Xinyu Li +10

We propose TubeR: a simple solution for spatio-temporal video action detection. Different from existing methods that depend on either an off-line actor detector or hand-designed ac…

cs.CV2019★ 3 cited

Dance with Flow: Two-in-One Stream Action Detection

Jiaojiao Zhao, Cees G. M. Snoek

The goal of this paper is to detect the spatio-temporal extent of an action. The two-stream detection network based on RGB and flow provides state-of-the-art accuracy at the expens…