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ORCIDZhaoyang Lv
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2020 – today
- 2024
[c14]Joya Chen, Zhaoyang Lv, Shiwei Wu, Kevin Qinghong Lin, Chenan Song, Difei Gao, Jia-Wei Liu, Ziteng Gao, Dongxing Mao, Mike Zheng Shou:
VideoLLM-online: Online Video Large Language Model for Streaming Video. CVPR 2024: 18407-18418- [c13]Qiao Gu
, Zhaoyang Lv, Duncan P. Frost, Simon Green, Julian Straub, Chris Sweeney:
EgoLifter: Open-World 3D Segmentation for Egocentric Perception. ECCV (43) 2024: 382-400 - [c12]Bryan Wang, Yuliang Li, Zhaoyang Lv, Haijun Xia, Yan Xu, Raj Sodhi:
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing. IUI 2024: 699-714 - [i17]Bryan Wang, Yuliang Li, Zhaoyang Lv, Haijun Xia, Yan Xu, Raj Sodhi:
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing. CoRR abs/2402.10294 (2024) - [i16]Zhaoyang Lv, Nicholas Charron, Pierre Moulon, Alexander Gamino, Cheng Peng, Chris Sweeney, Edward Miller, Huixuan Tang, Jeff Meissner, Jing Dong, Kiran Somasundaram, Luis Pesqueira, Mark Schwesinger, Omkar M. Parkhi, Qiao Gu, Renzo De Nardi, Shangyi Cheng, Steve Saarinen, Vijay Baiyya, Yuyang Zou, Richard A. Newcombe, Jakob Julian Engel, Xiaqing Pan, Carl Yuheng Ren:
Aria Everyday Activities Dataset. CoRR abs/2402.13349 (2024) - [i15]Qiao Gu, Zhaoyang Lv, Duncan P. Frost, Simon Green, Julian Straub, Chris Sweeney:
EgoLifter: Open-world 3D Segmentation for Egocentric Perception. CoRR abs/2403.18118 (2024) - [i14]Joya Chen, Zhaoyang Lv, Shiwei Wu, Kevin Qinghong Lin, Chenan Song, Difei Gao, Jia-Wei Liu, Ziteng Gao, Dongxing Mao, Mike Zheng Shou:
VideoLLM-online: Online Video Large Language Model for Streaming Video. CoRR abs/2406.11816 (2024) - 2022
- [c11]Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard A. Newcombe, Zhaoyang Lv:
Neural 3D Video Synthesis from Multi-view Video. CVPR 2022: 5511-5521 - [c10]Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhöfer, Markus Steinberger:
AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields. ECCV (17) 2022: 254-270 - [i13]Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhöfer, Markus Steinberger:
AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields. CoRR abs/2207.10312 (2022) - 2021
- [b1]Zhaoyang Lv:
Visual Dense three-dimensional motion estimation in the Wild. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [c9]Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, Steven Lovegrove:
STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering. CVPR 2021: 13144-13152 - [c8]Zhixiong Di, Yongming Tang, Jiahua Lu, Zhaoyang Lv:
ASIC Design Principle Course with Combination of Online-MOOC and Offline-Inexpensive FPGA Board. ACM Great Lakes Symposium on VLSI 2021: 431-436 - [i12]Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, Steven Lovegrove:
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering. CoRR abs/2101.01602 (2021) - [i11]Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Zhaoyang Lv:
Neural 3D Video Synthesis. CoRR abs/2103.02597 (2021) - [i10]Sushobhan Ghosh, Zhaoyang Lv, Nathan Matsuda, Lei Xiao, Andrew Berkovich, Oliver Cossairt:
LiveView: Dynamic Target-Centered MPI for View Synthesis. CoRR abs/2107.05113 (2021)
2010 – 2019
- 2019
- [c7]Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger:
Taking a Deeper Look at the Inverse Compositional Algorithm. CVPR 2019: 4581-4590 - [c6]Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz:
SENSE: A Shared Encoder Network for Scene-Flow Estimation. ICCV 2019: 3194-3203 - [c5]Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira:
Multi-class classification without multi-class labels. ICLR (Poster) 2019 - [i9]Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira:
Multi-class Classification without Multi-class Labels. CoRR abs/1901.00544 (2019) - [i8]Jing Dong, Zhaoyang Lv:
miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization Framework. CoRR abs/1909.00903 (2019) - [i7]Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz:
SENSE: a Shared Encoder Network for Scene-flow Estimation. CoRR abs/1910.12361 (2019) - 2018
- [c4]Zhaoyang Lv, Kihwan Kim, Alejandro J. Troccoli, Deqing Sun, James M. Rehg, Jan Kautz:
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation. ECCV (5) 2018: 484-501 - [c3]Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira:
Learning to cluster in order to transfer across domains and tasks. ICLR (Poster) 2018 - [i6]Zhaoyang Lv, Kihwan Kim, Alejandro J. Troccoli, Deqing Sun, James M. Rehg, Jan Kautz:
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation. CoRR abs/1804.04259 (2018) - [i5]Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira:
A probabilistic constrained clustering for transfer learning and image category discovery. CoRR abs/1806.11078 (2018) - [i4]Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger:
Taking a Deeper Look at the Inverse Compositional Algorithm. CoRR abs/1812.06861 (2018) - 2017
- [i3]Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira:
Learning to cluster in order to Transfer across domains and tasks. CoRR abs/1711.10125 (2017) - 2016
- [c2]Zhaoyang Lv, Yuanyuan Liu, Xiaohui Yu:
KEIPD: Knowledge Extraction and Inference System for Personal Documents. APWeb (2) 2016: 592-595 - [c1]Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla, Fuxin Li, Zsolt Kira, Frank Dellaert:
A Continuous Optimization Approach for Efficient and Accurate Scene Flow. ECCV (8) 2016: 757-773 - [i2]Zhaoyang Lv, Chris Beall, Pablo F. Alcantarilla, Fuxin Li, Zsolt Kira, Frank Dellaert:
A Continuous Optimization Approach for Efficient and Accurate Scene Flow. CoRR abs/1607.07983 (2016) - [i1]Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira:
Deep Image Category Discovery using a Transferred Similarity Function. CoRR abs/1612.01253 (2016)
Coauthor Index
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