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VOOZH | about |
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VOOZH | about |
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BiographyI received my Master degree from Tsinghua University, under the guidance of Haoqian Wang. I got B.Eng. degree in Automation at Harbin Institute of Technology (Shenzhen). I am now working towards a PhD degree with MMLab@NTU, Nanyang Technology University, supervised by Prof. Ziwei Liu.Currently, my research topic is 3D computer vision, with a particular focus on 3D human-scene perception, generation, and understanding with large foundation model. Previously, I focused on low-level vision. I'm passionate about open-source code. Codes, models, and datasets from my projects are released. Check out my GitHub page! |
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ChatHuman: Chatting about 3D Human with Tools
👁 GitHub stars Jing Lin*, Yao Feng*, Weiyang Liu, Michael J. Black Computer Vision and Pattern Recognition 2025 (CVPR 2025) Home [arXiv, Reader] |
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ChatPose: Chatting about 3D Human Pose
👁 GitHub stars Yao Feng, Jing Lin, Sai Kumar Dwivedi, Yu Sun, Priyanka Patel, Michael J. Black Computer Vision and Pattern Recognition 2024 (CVPR 2024) Home [arXiv, Reader] |
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Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
👁 GitHub stars Jing Lin*, Ailing Zeng*, Shunlin Lu*, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang Conference on Neural Information Processing Systems 2023 (NeurIPS 2023) Home [arXiv, Reader] |
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One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer
👁 GitHub stars Jing Lin, Ailing Zeng, Haoqian Wang, Lei Zhang, Yu Li Computer Vision and Pattern Recognition 2023 (CVPR 2023) Home [arXiv, Reader] Video |
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Flow-Guided Sparse Transformer for Video Deblurring
👁 GitHub stars Jing Lin*, Yuanhao Cai*, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool International Conference on Machine Learning 2022 (ICML 2022) Home [arXiv, Reader] |
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Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
👁 GitHub stars Jing Lin*, Xiaowan Hu*, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool International Conference on Machine Learning 2022 (ICML 2022) Home [arXiv, Reader] |
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Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction
👁 GitHub stars Yuanhao Cai*, Jing Lin*, Xiaowan Hu, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool Computer Vision and Pattern Recognition (CVPR 2022) Home [arXiv, Reader] |
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Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
👁 GitHub stars Yuanhao Cai*, Jing Lin*, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool European Conference on Computer Vision 2022 (ECCV 2022) Home [arXiv, Reader] |
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Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
👁 GitHub stars Yuanhao Cai*, Jing Lin*, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool Conference on Neural Information Processing Systems 2022 (NeurIPS 2022) Home [arXiv, Reader] |
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MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
👁 GitHub stars Yuanhao Cai*, Jing Lin*, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool Conference on Computer Vision and Pattern Recognition Workshops 2022 (CVPRW 2022 Oral) Home [arXiv, Reader] |
