Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDYu-Xiong Wang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
[i24]Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CoRR abs/2203.10159 (2022)- [i23]Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long-Tailed Recognition via Weight Balancing. CoRR abs/2203.14197 (2022) - 2021
- [c33]Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Unlocking the Full Potential of Small Data With Diverse Supervision. CVPR Workshops 2021: 2642-2652 - [c32]Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang:
DAP: Detection-Aware Pre-Training With Weak Supervision. CVPR 2021: 4537-4546 - [c31]Weilin Zhang, Yu-Xiong Wang:
Hallucination Improves Few-Shot Object Detection. CVPR 2021: 13008-13017 - [c30]Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang:
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. ICCV 2021: 7253-7262 - [c29]Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang:
Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. ICCV 2021: 8681-8691 - [c28]Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura:
On the Importance of Distractors for Few-Shot Classification. ICCV 2021: 9010-9020 - [c27]Zhipeng Bao, Yu-Xiong Wang, Martial Hebert:
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. ICLR 2021 - [c26]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M. Alvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. ICML 2021: 1463-1472 - [i22]Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang:
DAP: Detection-Aware Pre-training with Weak Supervision. CoRR abs/2103.16651 (2021) - [i21]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, Jose M. Alvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. CoRR abs/2104.05702 (2021) - [i20]Weilin Zhang, Yu-Xiong Wang:
Hallucination Improves Few-Shot Object Detection. CoRR abs/2105.01294 (2021) - [i19]Zhipeng Bao, Martial Hebert, Yu-Xiong Wang:
Generative Modeling for Multi-task Visual Learning. CoRR abs/2106.13409 (2021) - [i18]Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang:
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. CoRR abs/2108.09025 (2021) - [i17]Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura:
On the Importance of Distractors for Few-Shot Classification. CoRR abs/2109.09883 (2021) - [i16]Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang:
On the Importance of Firth Bias Reduction in Few-Shot Classification. CoRR abs/2110.02529 (2021) - [i15]Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth:
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. CoRR abs/2111.10427 (2021) - [i14]David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang:
SIRfyN: Single Image Relighting from your Neighbors. CoRR abs/2112.04497 (2021) - [i13]Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang:
Embracing Single Stride 3D Object Detector with Sparse Transformer. CoRR abs/2112.06375 (2021) - [i12]Brando Miranda, Yu-Xiong Wang, Sanmi Koyejo:
The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence. CoRR abs/2112.13121 (2021) - [i11]Brando Miranda, Yu-Xiong Wang, Sanmi Koyejo:
Does MAML Only Work via Feature Re-use? A Data Centric Perspective. CoRR abs/2112.13137 (2021) - 2020
- [c25]Mengtian Li, Yu-Xiong Wang, Deva Ramanan:
Towards Streaming Perception. ECCV (2) 2020: 473-488 - [i10]Mengtian Li, Yu-Xiong Wang, Deva Ramanan:
Towards Streaming Image Understanding. CoRR abs/2005.10420 (2020) - [i9]Zhipeng Bao, Yu-Xiong Wang, Martial Hebert:
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. CoRR abs/2008.06981 (2020) - [i8]Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang:
Alpha Net: Adaptation with Composition in Classifier Space. CoRR abs/2008.07073 (2020) - [i7]Vivek Roy, Yan Xu, Yu-Xiong Wang, Kris Kitani, Ruslan Salakhutdinov, Martial Hebert:
Few-Shot Learning with Intra-Class Knowledge Transfer. CoRR abs/2008.09892 (2020) - [i6]Weilin Zhang, Yu-Xiong Wang, David A. Forsyth:
Cooperating RPN's Improve Few-Shot Object Detection. CoRR abs/2011.10142 (2020)
2010 – 2019
- 2019
- [c24]Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu
, Martial Hebert:
Image Deformation Meta-Networks for One-Shot Learning. CVPR 2019: 8680-8689 - [c23]Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Compositional Representations for Few-Shot Recognition. ICCV 2019: 6371-6380 - [c22]Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Meta-Learning to Detect Rare Objects. ICCV 2019: 9924-9933 - [c21]Yuqian Fu, Chengrong Wang, Yanwei Fu, Yu-Xiong Wang, Cong Bai, Xiangyang Xue, Yu-Gang Jiang:
Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent. ACM Multimedia 2019: 411-419 - [i5]Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert:
Image Deformation Meta-Networks for One-Shot Learning. CoRR abs/1905.11641 (2019) - [i4]Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Growing a Brain: Fine-Tuning by Increasing Model Capacity. CoRR abs/1907.07844 (2019) - [i3]Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Generalizable Representations via Diverse Supervision. CoRR abs/1911.12911 (2019) - 2018
- [c20]Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan:
Low-Shot Learning From Imaginary Data. CVPR 2018: 7278-7286 - [c19]Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, José M. F. Moura:
Few-Shot Human Motion Prediction via Meta-learning. ECCV (8) 2018: 441-459 - [c18]Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura:
Adversarial Geometry-Aware Human Motion Prediction. ECCV (4) 2018: 823-842 - [c17]Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso:
Teaching Robots to Predict Human Motion. IROS 2018: 562-567 - [c16]Liang-Yan Gui, Liangke Gui, Yu-Xiong Wang, Louis-Philippe Morency, José M. F. Moura:
Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering. WACV 2018: 1205-1214 - [i2]Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan:
Low-Shot Learning from Imaginary Data. CoRR abs/1801.05401 (2018) - [i1]Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Compositional Representations for Few-Shot Recognition. CoRR abs/1812.09213 (2018) - 2017
- [j5]Bao-Di Liu, Liangke Gui, Yuting Wang, Yu-Xiong Wang, Bin Shen, Xue Li, Yanjiang Wang:
Class specific centralized dictionary learning for face recognition. Multim. Tools Appl. 76(3): 4159-4177 (2017) - [c15]Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Growing a Brain: Fine-Tuning by Increasing Model Capacity. CVPR 2017: 3029-3038 - [c14]Liangke Gui, Yu-Xiong Wang, Martial Hebert:
Few-Shot Hash Learning for Image Retrieval. ICCV Workshops 2017: 1228-1237 - [c13]Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Learning to Model the Tail. NIPS 2017: 7029-7039 - 2016
- [j4]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Xue Li, Yu-Jin Zhang, Yanjiang Wang:
Blockwise coordinate descent schemes for efficient and effective dictionary learning. Neurocomputing 178: 25-35 (2016) - [j3]Bao-Di Liu, Bin Shen, Liangke Gui, Yu-Xiong Wang, Xue Li, Fei Yan, Yanjiang Wang:
Face recognition using class specific dictionary learning for sparse representation and collaborative representation. Neurocomputing 204: 198-210 (2016) - [c12]Yu-Xiong Wang, Martial Hebert:
Learning by Transferring from Unsupervised Universal Sources. AAAI 2016: 2187-2193 - [c11]Yu-Xiong Wang, Martial Hebert:
Learning to Learn: Model Regression Networks for Easy Small Sample Learning. ECCV (6) 2016: 616-634 - [c10]Yu-Xiong Wang, Martial Hebert:
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs. NIPS 2016: 244-252 - 2015
- [c9]Yu-Xiong Wang, Martial Hebert:
Model recommendation: Generating object detectors from few samples. CVPR 2015: 1619-1628 - 2014
- [c8]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Martial Hebert:
Self-explanatory Sparse Representation for Image Classification. ECCV (2) 2014: 600-616 - [c7]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang:
Blockwise coordinate descent schemes for sparse representation. ICASSP 2014: 5267-5271 - [c6]Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang:
Class specific subspace learning for collaborative representation. SMC 2014: 2865-2870 - [c5]Bao-Di Liu, Bin Shen, Yu-Xiong Wang:
Class specific dictionary learning for face recognition. SPAC 2014: 229-234 - 2013
- [j2]Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Bin Shen:
Learning dictionary on manifolds for image classification. Pattern Recognit. 46(7): 1879-1890 (2013) - [j1]Yu-Xiong Wang, Yu-Jin Zhang:
Nonnegative Matrix Factorization: A Comprehensive Review. IEEE Trans. Knowl. Data Eng. 25(6): 1336-1353 (2013) - [c4]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu:
Self-Explanatory Convex Sparse Representation for Image Classification. SMC 2013: 2120-2125 - 2012
- [c3]Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Yin Zheng:
Discriminant sparse coding for image classification. ICASSP 2012: 2193-2196 - [c2]Yu-Xiong Wang, Liang-Yan Gui, Yu-Jin Zhang:
Neighborhood Preserving Non-negative Tensor Factorization for image representation. ICASSP 2012: 3389-3392 - 2011
- [c1]Yu-Xiong Wang, Yu-Jin Zhang:
Image inpainting via Weighted Sparse Non-negative Matrix Factorization. ICIP 2011: 3409-3412
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2022-04-05 21:30 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp has been originally created in 1993 at:
since 2018, dblp is operated and maintained by:
the dblp computer science bibliography is funded and supported by:
