activity
20202025
most cited1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020

4 citations · 4 across the 2 of their papers we have counts for

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cs.CV2025

DogMo: A Large-Scale Multi-View RGB-D Dataset for 4D Canine Motion Recovery

Zan Wang, Siyu Chen, Luya Mo +4

We present DogMo, a large-scale multi-view RGB-D video dataset capturing diverse canine movements for the task of motion recovery from images. DogMo comprises 1.2k motion sequences…

cs.CV2022

X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation

Yinan He, Gengshi Huang, Siyu Chen +7

In computer vision, pre-training models based on largescale supervised learning have been proven effective over the past few years. However, existing works mostly focus on learning…

cs.CV2021

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

Yinan He, Bei Gan, Siyu Chen +6

The rapid progress of photorealistic synthesis techniques has reached at a critical point where the boundary between real and manipulated images starts to blur. Thus, benchmarking…

cs.CV20204 cited

1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020

Siyu Chen, Junting Pan, Guanglu Song +6

This technical report introduces our winning solution to the spatio-temporal action localization track, AVA-Kinetics Crossover, in ActivityNet Challenge 2020. Our entry is mainly b…

cs.CV2020

Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization

Junting Pan, Siyu Chen, Mike Zheng Shou +3

Localizing persons and recognizing their actions from videos is a challenging task towards high-level video understanding. Recent advances have been achieved by modeling direct pai…