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Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation


May 04, 2022
Nathaniel Merrill, Yuliang Guo, Xingxing Zuo, Xinyu Huang, Stefan Leutenegger, Xi Peng, Liu Ren, Guoquan Huang

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* Accepted to CVPR2022 

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OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion


Mar 29, 2022
Yuyan Li, Yuliang Guo, Zhixin Yan, Xinyu Huang, Ye Duan, Liu Ren

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* CVPR 2022, accepted as Oral 

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Self-supervised Semantic Segmentation Grounded in Visual Concepts


Mar 25, 2022
Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren

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Interactive Visual Pattern Search on Graph Data via Graph Representation Learning


Feb 18, 2022
Huan Song, Zeng Dai, Panpan Xu, Liu Ren

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* IEEE Transactions on Visualization and Computer Graphics. Published version: https://ieeexplore.ieee.org/abstract/document/9552902 

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PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation


Feb 02, 2022
Yuyan Li, Zhixin Yan, Ye Duan, Liu Ren

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* Accepted by International Conference on 3D Vision (3DV). IEEE, 2021 

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Novelty-based Generalization Evaluation for Traffic Light Detection


Jan 03, 2022
Arvind Kumar Shekar, Laureen Lake, Liang Gou, Liu Ren

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* Accepted/Presented at ICMLA 2021 

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Unsupervised Discriminative Learning of Sounds for Audio Event Classification


May 20, 2021
Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren

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* ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | 978-1-7281-7605-5/20/$31.00 (c) 2021 IEEE | DOI: 10.1109/ICASSP39728.2021.9413482 

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VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection


Sep 27, 2020
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren

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Visualizing Classification Structure in Deep Neural Networks


Jul 12, 2020
Bilal Alsallakh, Zhixin Yan, Shabnam Ghaffarzadegan, Zeng Dai, Liu Ren

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* 2020 ICML Workshop on Human Interpretability in Machine Learning (WHI 2020) 

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