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Yuanzhen Li
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2020 – today
- 2024
- [i26]Andreas Engelhardt, Amit Raj, Mark Boss, Yunzhi Zhang, Abhishek Kar, Yuanzhen Li, Deqing Sun, Ricardo Martin-Brualla, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild. CoRR abs/2401.10171 (2024) - [i25]Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Yuanzhen Li, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, Inbar Mosseri:
Lumiere: A Space-Time Diffusion Model for Video Generation. CoRR abs/2401.12945 (2024) - [i24]Yunzhi Zhang, Zizhang Li, Amit Raj, Andreas Engelhardt, Yuanzhen Li, Tingbo Hou, Jiajun Wu, Varun Jampani:
3D Congealing: 3D-Aware Image Alignment in the Wild. CoRR abs/2404.02125 (2024) - [i23]Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani:
Probing the 3D Awareness of Visual Foundation Models. CoRR abs/2404.08636 (2024) - [i22]Nataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch, Michael Rubinstein, David E. Jacobs, Shlomi Fruchter:
Magic Insert: Style-Aware Drag-and-Drop. CoRR abs/2407.02489 (2024) - 2023
- [j14]Yuanzhen Li
, Kaizhou Gao, Leilei Meng, Ponnuthurai Nagaratnam Suganthan
:
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption. Eng. Appl. Artif. Intell. 126: 107011 (2023) - [j13]Yuanzhen Li, Shengjie Zheng, Zi-Xin Tan, Tuo Cao, Fei Luo, Chunxia Xiao:
Self-Supervised Monocular Depth Estimation by Digging into Uncertainty Quantification. J. Comput. Sci. Technol. 38(3): 510-525 (2023) - [j12]Yuanzhen Li, Fei Luo, Chunxia Xiao:
Monocular human depth estimation with 3D motion flow and surface normals. Vis. Comput. 39(8): 3701-3713 (2023) - [c23]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. CVPR 2023: 4853-4862 - [c22]Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg:
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency. CVPR 2023: 12912-12922 - [c21]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman:
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. CVPR 2023: 22500-22510 - [c20]Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR 2023: 23201-23211 - [c19]Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani:
DreamBooth3D: Subject-Driven Text-to-3D Generation. ICCV 2023: 2349-2359 - [c18]Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan:
Muse: Text-To-Image Generation via Masked Generative Transformers. ICML 2023: 4055-4075 - [c17]Shaowu Wang, Jian Shi, Tingting Cheng, Zhanqing Yu, Jin Zhang, Lu Qu, Jie Liu, Zhengning Zi, Yuanzhen Li:
Comprehensive evaluation and selection of offshore wind power DC collection system topology. iSPEC 2023: 1-6 - [c16]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS 2023 - [c15]Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin:
StyleDrop: Text-to-Image Synthesis of Any Style. NeurIPS 2023 - [c14]Chun-Han Yao, Amit Raj, Wei-Chih Hung, Michael Rubinstein, Yuanzhen Li, Ming-Hsuan Yang, Varun Jampani:
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. NeurIPS 2023 - [i21]Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan:
Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR abs/2301.00704 (2023) - [i20]Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka:
Debiasing Vision-Language Models via Biased Prompts. CoRR abs/2302.00070 (2023) - [i19]Shengju Qian, Huiwen Chang, Yuanzhen Li, Zizhao Zhang, Jiaya Jia, Han Zhang:
StraIT: Non-autoregressive Generation with Stratified Image Transformer. CoRR abs/2303.00750 (2023) - [i18]Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani:
DreamBooth3D: Subject-Driven Text-to-3D Generation. CoRR abs/2303.13508 (2023) - [i17]Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg:
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency. CoRR abs/2304.06247 (2023) - [i16]Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan:
StyleDrop: Text-to-Image Generation in Any Style. CoRR abs/2306.00983 (2023) - [i15]Chun-Han Yao, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. CoRR abs/2306.04619 (2023) - [i14]Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani:
Background Prompting for Improved Object Depth. CoRR abs/2306.05428 (2023) - [i13]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR abs/2306.09109 (2023) - [i12]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman:
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. CoRR abs/2307.06949 (2023) - [i11]Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein:
RealFill: Reference-Driven Generation for Authentic Image Completion. CoRR abs/2309.16668 (2023) - [i10]Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani:
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. CoRR abs/2311.13600 (2023) - [i9]Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Frédo Durand, William T. Freeman, Mark J. Matthews:
Alchemist: Parametric Control of Material Properties with Diffusion Models. CoRR abs/2312.02970 (2023) - 2022
- [j11]Yuanzhen Li, Quan-Ke Pan, Xuan He, Hongyan Sang, Kai-Zhou Gao
, Xue-Lei Jing:
The distributed flowshop scheduling problem with delivery dates and cumulative payoffs. Comput. Ind. Eng. 165: 107961 (2022) - [j10]Yuanzhen Li, Fei Luo, Chunxia Xiao:
Self-supervised coarse-to-fine monocular depth estimation using a lightweight attention module. Comput. Vis. Media 8(4): 631-647 (2022) - [j9]Yuanzhen Li
, Quan-Ke Pan, Rubén Ruiz, Hongyan Sang
:
A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion. Knowl. Based Syst. 239: 108036 (2022) - [c13]Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao:
Deep Image-based Illumination Harmonization. CVPR 2022: 18521-18530 - [c12]Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. NeurIPS 2022 - [c11]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. NeurIPS 2022 - [i8]Mark Boss, Andreas Engelhardt
, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani:
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. CoRR abs/2205.15768 (2022) - [i7]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. CoRR abs/2207.03434 (2022) - [i6]Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman:
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. CoRR abs/2208.12242 (2022) - [i5]Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR abs/2212.09898 (2022) - [i4]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. CoRR abs/2212.11042 (2022) - 2021
- [j8]Yuanzhen Li
, Quan-Ke Pan, Kai-Zhou Gao
, Mehmet Fatih Tasgetiren
, Biao Zhang, Jun-Qing Li:
A green scheduling algorithm for the distributed flowshop problem. Appl. Soft Comput. 109: 107526 (2021) - [j7]Yuanzhen Li
, Quan-Ke Pan
, Jun-Qing Li, Liang Gao, Mehmet Fatih Tasgetiren
:
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems. Swarm Evol. Comput. 63: 100874 (2021) - [j6]Yuanzhen Li, Fei Luo, Wenjie Li, Shenjie Zheng, Huanhuan Wu, Chunxia Xiao:
Self-supervised monocular depth estimation based on image texture detail enhancement. Vis. Comput. 37(9-11): 2567-2580 (2021) - [i3]Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao:
Scene Inference for Object Illumination Editing. CoRR abs/2108.00150 (2021)
2010 – 2019
- 2019
- [j5]Yuanzhen Li
, Yang Zhao, Yingyu Zhang:
A spanning tree construction algorithm for industrial wireless sensor networks based on quantum artificial bee colony. EURASIP J. Wirel. Commun. Netw. 2019: 176 (2019) - [j4]Yuanzhen Li
, Yingyu Zhang:
EPVNE: An Efficient Parallelizable Virtual Network Embedding Algorithm. Wirel. Commun. Mob. Comput. 2019: 8416592:1-8416592:10 (2019) - 2018
- [i2]Yingyu Zhang, Bing Zeng, Yuanzhen Li, Junqing Li:
A mullti- or many- objective evolutionary algorithm with global loop update. CoRR abs/1803.06282 (2018) - [i1]Yingyu Zhang, Yuanzhen Li:
A Many-Objective Evolutionary Algorithm Based on Decomposition and Local Dominance. CoRR abs/1807.10275 (2018) - 2015
- [c10]Yuanzhen Li, Qun Yang, Shangqi Lai, Bohan Li:
A New Speculative Execution Algorithm Based on C4.5 Decision Tree for Hadoop. ICYCSEE 2015: 284-291 - 2011
- [c9]Junqing Li, Yuanzhen Li, Huaqing Yang, Kaizhou Gao
, Yuting Wang, Tao Sun:
Flexible Job Shop Scheduling Problem by Chemical-Reaction Optimization Algorithm. ICIC (1) 2011: 584-591
2000 – 2009
- 2009
- [c8]Tonghong Li, Yuanzhen Li, Jianxin Liao:
A Contention-Based Routing Protocol for Vehicular Ad Hoc Networks in City Environments. ICDCS Workshops 2009: 482-487 - 2008
- [j3]Yuanzhen Li, Edward H. Adelson, Aseem Agarwala:
ScribbleBoost: Adding Classification to Edge-Aware Interpolation of Local Image and Video Adjustments. Comput. Graph. Forum 27(4): 1255-1264 (2008) - [c7]Yuanzhen Li, Edward H. Adelson:
Image mapping using local and global statistics. Human Vision and Electronic Imaging 2008: 680614 - 2007
- [c6]Ramesh Raskar, Jack Tumblin, Ankit Mohan, Amit K. Agrawal, Yuanzhen Li:
Computational Photography. Eurographics (Tutorials) 2007: 557-624 - 2005
- [j2]Amit K. Agrawal, Ramesh Raskar, Shree K. Nayar, Yuanzhen Li:
Removing photography artifacts using gradient projection and flash-exposure sampling. ACM Trans. Graph. 24(3): 828-835 (2005) - [j1]Yuanzhen Li, Lavanya Sharan, Edward H. Adelson:
Compressing and companding high dynamic range images with subband architectures. ACM Trans. Graph. 24(3): 836-844 (2005) - [c5]Ruth Rosenholtz, Yuanzhen Li, Jonathan Mansfield, Zhenlan Jin:
Feature congestion: a measure of display clutter. CHI 2005: 761-770 - 2003
- [c4]Yuanzhen Li, Stephen Lin, Hanqing Lu, Heung-Yeung Shum:
Multiple-cue Illumination Estimation in Textured Scenes. ICCV 2003: 1366-1373 - 2002
- [c3]Stephen Lin, Yuanzhen Li, Sing Bing Kang, Xin Tong
, Heung-Yeung Shum:
Diffuse-Specular Separation and Depth Recovery from Image Sequences. ECCV (3) 2002: 210-224 - [c2]Yuanzhen Li, Stephen Lin, Hanqing Lu, Sing Bing Kang, Heung-Yeung Shum:
Multibaseline Stereo in the Presence of Specular Reflections. ICPR (3) 2002: 573-576 - [c1]Yuanzhen Li, Stephen Lin, Sing Bing Kang, Hanqing Lu, Heung-Yeung Shum:
Single-Image Reflectance Estimation for Relighting by Iterative Soft Grouping. PG 2002: 483
Coauthor Index
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last updated on 2024-08-10 01:23 CEST by the dblp team
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