activity
20182022
most citedC-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

30 citations · 106 across the 17 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 2 cited

Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering

Yuanqiang Cai, Chang Liu, Weiqiang Wang +1

With only bounding-box annotations in the spatial domain, existing video scene text detection (VSTD) benchmarks lack temporal relation of text instances among video frames, which h…

cs.CV2020★ 24 cited

Adaptive Linear Span Network for Object Skeleton Detection

Chang Liu, Yunjie Tian, Jianbin Jiao +1

Conventional networks for object skeleton detection are usually hand-crafted. Although effective, they require intensive priori knowledge to configure representative features for o…

cs.CV2020★ 26 cited

Prototype Mixture Models for Few-shot Semantic Segmentation

Boyu Yang, Chang Liu, Bohao Li +2

Few-shot segmentation is challenging because objects within the support and query images could significantly differ in appearance and pose. Using a single prototype acquired direct…

cs.CV2020★ 5 cited

Progressive Cluster Purification for Unsupervised Feature Learning

Yifei Zhang, Chang Liu, Yu Zhou +3

In unsupervised feature learning, sample specificity based methods ignore the inter-class information, which deteriorates the discriminative capability of representation models. Cl…

cs.CV2020

Discretization-Aware Architecture Search

Yunjie Tian, Chang Liu, Lingxi Xie +2

The search cost of neural architecture search (NAS) has been largely reduced by weight-sharing methods. These methods optimize a super-network with all possible edges and operation…

cs.CV2020★ 1 cited

Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning

Yuan Yao, Chang Liu, Dezhao Luo +2

In self-supervised spatio-temporal representation learning, the temporal resolution and long-short term characteristics are not yet fully explored, which limits representation capa…