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20192023
most citedGFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection

35 citations · 76 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023

PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking

Yang Zheng, Adam W. Harley, Bokui Shen +2

We introduce PointOdyssey, a large-scale synthetic dataset, and data generation framework, for the training and evaluation of long-term fine-grained tracking algorithms. Our goal i…

cs.CV2022★ 2 cited

6D Camera Relocalization in Visually Ambiguous Extreme Environments

Yang Zheng, Tolga Birdal, Fei Xia +3

We propose a novel method to reliably estimate the pose of a camera given a sequence of images acquired in extreme environments such as deep seas or extraterrestrial terrains. Data…

cs.CV2022★ 2 cited

GIMO: Gaze-Informed Human Motion Prediction in Context

Yang Zheng, Yanchao Yang, Kaichun Mo +5

Predicting human motion is critical for assistive robots and AR/VR applications, where the interaction with humans needs to be safe and comfortable. Meanwhile, an accurate predicti…

cs.CV2021★ 4 cited

DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras

Yang Zheng, Ruizhi Shao, Yuxiang Zhang +4

We propose DeepMultiCap, a novel method for multi-person performance capture using sparse multi-view cameras. Our method can capture time varying surface details without the need o…

cs.CV2020

MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation

Yang Zheng, Izzat H. Izzat, Sanling Song

Point clouds have been widely adopted in 3D semantic scene understanding. However, point clouds for typical tasks such as 3D shape segmentation or indoor scenario parsing are much…

cs.CV2019★ 35 cited

GFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection

Yang Zheng, Izzat H. Izzat, Shahrzad Ziaee

Pedestrian detection is an essential task in autonomous driving research. In addition to typical color images, thermal images benefit the detection in dark environments. Hence, it…