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ORCIDZhaoyang Lv
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2020 – today
- 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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