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20122026
most citedStepwise Goal-Driven Networks for Trajectory Prediction

213 citations · 963 across the 50 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

cs.CV2020★ 1 cited

Whose hand is this? Person Identification from Egocentric Hand Gestures

Satoshi Tsutsui, Yanwei Fu, David Crandall

Recognizing people by faces and other biometrics has been extensively studied in computer vision. But these techniques do not work for identifying the wearer of an egocentric (firs…

cs.CV2020★ 3 cited

Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning

Zehua Zhang, David Crandall

We present a novel technique for self-supervised video representation learning by: (a) decoupling the learning objective into two contrastive subtasks respectively emphasizing spat…

cs.CV2020★ 7 cited

Deep Tiered Image Segmentation For Detecting Internal Ice Layers in Radar Imagery

Yuchen Wang, Mingze Xu, John Paden +3

Understanding the structure of Earth's polar ice sheets is important for modeling how global warming will impact polar ice and, in turn, the Earth's climate. Ground-penetrating rad…

cs.CV2020★ 32 cited

Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification

Mang Ye, Jianbing Shen, David J. Crandall +2

Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality pedestrian retrieval problem. Due to the large intra-class variations and cross-modality discrep…

cs.CV2020★ 11 cited

A Computational Model of Early Word Learning from the Infant's Point of View

Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza +2

Human infants have the remarkable ability to learn the associations between object names and visual objects from inherently ambiguous experiences. Researchers in cognitive science…

cs.CV2020★ 38 cited

When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Yu Yao, Xizi Wang, Mingze Xu +3

Video anomaly detection (VAD) has been extensively studied. However, research on egocentric traffic videos with dynamic scenes lacks large-scale benchmark datasets as well as effec…