Xiaoming Zhao

* denotes equal contribution.

Publications
[7]		Occupancy Planes for Single-view RGB-D Human Reconstruction. Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, and Alexander G. Schwing AAAI Conference on Artificial Intelligence (AAAI), 2023 [Paper] [Code] [bibtex] Occupancy Planes for Single-view RGB-D Human Reconstruction @inproceedings{ZhaoOplanes2023, title={{Occupancy Planes for Single-view RGB-D Human Reconstruction}}, author={Xiaoming Zhao and Yuan-Ting Hu and Zhongzheng Ren and Alexander G. Schwing}, booktitle={AAAI}, year={2023}, }
[6]		Generative Multiplane Images: Making a 2D GAN 3D-Aware. Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander G. Schwing, and Alex Colburn European Conference on Computer Vision (ECCV), 2022 Oral Presentation [Paper] [Code] [Website] [bibtex] Media: 机器之心 (Chinese) / MarkTechPost Generative Multiplane Images: Making a 2D GAN 3D-Aware @inproceedings{zhao-gmpi2022, title = {Generative Multiplane Images: Making a 2D GAN 3D-Aware}, author = {Xiaoming Zhao and Fangchang Ma and David Güera and Zhile Ren and Alexander G. Schwing and Alex Colburn}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2022}, }
[5]		Initialization and Alignment for Adversarial Texture Optimization. Xiaoming Zhao, Zhizhen Zhao, and Alexander G. Schwing European Conference on Computer Vision (ECCV), 2022 [Paper] [Code] [Website] [bibtex] Initialization and Alignment for Adversarial Texture Optimization @inproceedings{zhao-tex2022, title = {Initialization and Alignment for Adversarial Texture Optimization}, author = {Xiaoming Zhao and Zhizhen Zhao and Alexander G. Schwing}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2022}, }
[4]		Class-agnostic Reconstruction of Dynamic Objects from Videos. Zhongzheng Ren, Xiaoming Zhao, and Alexander G. Schwing Neural Information Processing Systems (NeurIPS), 2021 [Paper] [Website] [bibtex] Class-agnostic 4D Reconstruction from Videos @inproceedings{ren-redo2021, title = {Class-agnostic Reconstruction of Dynamic Objects from Videos}, author = {Zhongzheng Ren$^\ast$ and Xiaoming Zhao$^\ast$ and Alexander G. Schwing}, booktitle = {Neural Information Processing Systems (NeurIPS)}, year = {2021}, note = {$^\ast$ equal contribution}, }
[3]		The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation. Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, and Alexander G. Schwing International Conference on Computer Vision (ICCV), 2021 [Paper] [Code] [Website] [bibtex] The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation @inproceedings{ZhaoICCV2021, title={{The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation}}, author={Xiaoming Zhao and Harsh Agrawal and Dhruv Batra and Alexander G. Schwing}, booktitle={Proc. ICCV}, year={2021}, }
[2]		Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning. Yunan Luo, Jianzhu Ma, Xiaoming Zhao, Yufeng Su, Yang Liu, Trey Ideker, and Jian Peng Research in Computational Molecular Biology (RECOMB), 2019 [Paper] [bibtex] Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning @inproceedings{luo2019mitigating, title={{Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning}}, author={Luo, Yunan and Ma, Jianzhu and Zhao, Xiaoming and Su, Yufeng and Liu, Yang and Ideker, Trey and Peng, Jian}, booktitle={Proc. RECOMB}, year={2019}, }
[1]		Integrating Thermodynamic and Sequence Contexts Improves Protein-RNA Binding Prediction. Yufeng Su, Yunan Luo, Xiaoming Zhao, Yang Liu, and Jian Peng PLOS Computational Biology, 2019 [Paper] [Code] [bibtex] Integrating Thermodynamic and Sequence Contexts Improves Protein-RNA Binding Prediction @article{su2019integrating, title={{Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction}}, author={Su, Yufeng and Luo, Yunan and Zhao, Xiaoming and Liu, Yang and Peng, Jian}, journal={PLOS Computational Biology}, year={2019}, }

Workshops
[2]		Learning from Synthesized Demonstrations. Xiaoming Zhao, Yang Liu, and Jian Peng International Conference on Machine Learning (ICML) Workshop on Learning in Artificial Open Worlds, 2020 [Poster] [bibtex] Learning from Synthesized Demonstrations @inproceedings{ZhaoICMLOpenWorldWS2020, title={{Learning from Synthesized Demonstrations}}, author={Xiaoming Zhao and Yang Liu and Jian Peng}, booktitle={Proc. ICML Workshop on Learning in Artificial Open Worlds}, year={2020}, }
[1]		Approximation Gradient Error Variance Reduced Optimization. Wei-Ye Zhao, Yang Liu, Xiaoming Zhao, Jie-Lin Qiu, and Jian Peng AAAI Conference on Artificial Intelligence (AAAI) Workshop on Reinforcement Learning in Games, 2019 [Paper] [bibtex] Approximation Gradient Error Variance Reduced Optimization @inproceedings{ZhaoAAAIRLGameWS2019, title={{Approximation Gradient Error Variance Reduced Optimization}}, author={Wei-Ye Zhao and Yang Liu and Xiaoming Zhao and Jie-Lin Qiu and Jian Peng}, booktitle={Proc. AAAI Workshop on Reinforcement Learning in Games}, year={2019}, }