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20192022
most citedChannel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

52 citations · 271 across the 17 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.LG2021★ 9 cited

DistFL: Distribution-aware Federated Learning for Mobile Scenarios

Bingyan Liu, Yifeng Cai, Ziqi Zhang +5

Federated learning (FL) has emerged as an effective solution to decentralized and privacy-preserving machine learning for mobile clients. While traditional FL has demonstrated its…

cs.CV2021

Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix

Ziqi Zhang, Yuexiang Li, Hongxin Wei +3

Deep-learning-based image classification frameworks often suffer from the noisy label problem caused by the inter-observer variation. Recent studies employed learning-to-learn para…

cs.CV2021★ 52 cited

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

Yuxin Chen, Ziqi Zhang, Chunfeng Yuan +3

Graph convolutional networks (GCNs) have been widely used and achieved remarkable results in skeleton-based action recognition. In GCNs, graph topology dominates feature aggregatio…

cs.LG2021★ 49 cited

ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection

Yuanchun Li, Ziqi Zhang, Bingyan Liu +2

The knowledge of a deep learning model may be transferred to a student model, leading to intellectual property infringement or vulnerability propagation. Detecting such knowledge r…

cs.CV2021★ 45 cited

PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling

Li Yang, Yan Xu, Shaoru Wang +4

Recent one-stage object detectors follow a per-pixel prediction approach that predicts both the object category scores and boundary positions from every single grid location. Howev…

cs.CV2021★ 8 cited

Open-book Video Captioning with Retrieve-Copy-Generate Network

Ziqi Zhang, Zhongang Qi, Chunfeng Yuan +4

Due to the rapid emergence of short videos and the requirement for content understanding and creation, the video captioning task has received increasing attention in recent years.…