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20152022
most citedSwin Transformer: Hierarchical Vision Transformer using Shifted Windows

412 citations · 1.9k across the 48 of their papers we have counts for

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Showing 2020Show all

12 papers · 1 filter

cs.CV2020★ 1 cited

Global Context Networks

Yue Cao, Jiarui Xu, Stephen Lin +2

The Non-Local Network (NLNet) presents a pioneering approach for capturing long-range dependencies within an image, via aggregating query-specific global context to each query posi…

cs.CV2020★ 24 cited

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

Zhenda Xie, Yutong Lin, Zheng Zhang +3

Contrastive learning methods for unsupervised visual representation learning have reached remarkable levels of transfer performance. We argue that the power of contrastive learning…

cs.CV2020★ 2 cited

Object-based Illumination Estimation with Rendering-aware Neural Networks

Xin Wei, Guojun Chen, Yue Dong +2

We present a scheme for fast environment light estimation from the RGBD appearance of individual objects and their local image areas. Conventional inverse rendering is too computat…

cs.CV2020★ 15 cited

Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation

Fangyun Wei, Xiao Sun, Hongyang Li +2

A recent approach for object detection and human pose estimation is to regress bounding boxes or human keypoints from a central point on the object or person. While this center-poi…

cs.CV2020★ 14 cited

Detecting Human-Object Interactions with Action Co-occurrence Priors

Dong-Jin Kim, Xiao Sun, Jinsoo Choi +2

A common problem in human-object interaction (HOI) detection task is that numerous HOI classes have only a small number of labeled examples, resulting in training sets with a long-…

cs.CV2020★ 17 cited

SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach

Ailing Zeng, Xiao Sun, Fuyang Huang +3

Human poses that are rare or unseen in a training set are challenging for a network to predict. Similar to the long-tailed distribution problem in visual recognition, the small num…