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20142023
most citedSTC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation

619 citations · 3.7k across the 114 of their papers we have counts for

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Showing 2018 · cs.CVShow all

22 papers · 2 filters

cs.CV2018★ 76 cited

Hybrid Knowledge Routed Modules for Large-scale Object Detection

Chenhan Jiang, Hang Xu, Xiangdan Liang +1

The dominant object detection approaches treat the recognition of each region separately and overlook crucial semantic correlations between objects in one scene. This paradigm lead…

cs.CV2018★ 39 cited

Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis

Haoye Dong, Xiaodan Liang, Ke Gong +3

Despite remarkable advances in image synthesis research, existing works often fail in manipulating images under the context of large geometric transformations. Synthesizing person…

cs.CV2018★ 8 cited

Interpretable Visual Question Answering by Reasoning on Dependency Trees

Qingxing Cao, Bailin Li, Xiaodan Liang +1

Collaborative reasoning for understanding image-question pairs is a very critical but underexplored topic in interpretable visual question answering systems. Although very recent s…

cs.CV2018★ 2 cited

Adaptive Temporal Encoding Network for Video Instance-level Human Parsing

Qixian Zhou, Xiaodan Liang, Ke Gong +1

Beyond the existing single-person and multiple-person human parsing tasks in static images, this paper makes the first attempt to investigate a more realistic video instance-level…

cs.CV2018★ 26 cited

Instance-level Human Parsing via Part Grouping Network

Ke Gong, Xiaodan Liang, Yicheng Li +3

Instance-level human parsing towards real-world human analysis scenarios is still under-explored due to the absence of sufficient data resources and technical difficulty in parsing…

cs.CV2018★ 9 cited

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images

Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang +3

Convolutional neural networks have led to significant breakthroughs in the domain of medical image analysis. However, the task of breast cancer segmentation in whole-slide images (…