H
Hao Li
Researcher at Alibaba Group
Publications - 225
Citations - 14999
Hao Li is an academic researcher from Alibaba Group. The author has contributed to research in topics: Deep learning & Computer science. The author has an hindex of 56, co-authored 221 publications receiving 10232 citations. Previous affiliations of Hao Li include University of Southern California & Institute for Creative Technologies.
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Contextual-based Image Inpainting: Infer, Match, and Translate
TL;DR: In this article, a learning-based approach is proposed to generate visually coherent completion given a high-resolution image with missing components, which divides the task into inference and translation as two separate steps and models each step with a deep neural network.
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Robust hair capture using simulated examples
TL;DR: A data-driven hair capture framework based on example strands generated through hair simulation that can robustly reconstruct faithful 3D hair models from unprocessed input point clouds with large amounts of outliers and ensures an improved control during hair digitization and avoid implausible hair synthesis for a wide range of hairstyles.
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Rapid avatar capture and simulation using commodity depth sensors
TL;DR: Because of the speed at which a human figure can be captured and the low hardware requirements, this method can be used to capture, track, and model human figures as their appearances change over time.
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DR Loss: Improving Object Detection by Distributional Ranking
TL;DR: This work proposes a novel distributional ranking (DR) loss, which mitigates the intra-class imbalance issue in background candidates but also improves the efficiency for the ranking algorithm.
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Tracking surfaces with evolving topology
TL;DR: This system combines a proven strategy for triangle mesh improvement, a robust multi-resolution non-rigid registration routine, and a reliable technique for changing surface mesh topology with a novel topological constraint enforcement algorithm.