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2020 – today
- 2024
[c37]Jiraphon Yenphraphai, Xichen Pan, Sainan Liu, Daniele Panozzo, Saining Xie:
Image Sculpting: Precise Object Editing with 3D Geometry Control. CVPR 2024: 4241-4251- [c36]Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie:
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CVPR 2024: 9568-9578 - [c35]Penghao Wu, Saining Xie:
V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs. CVPR 2024: 13084-13094 - [c34]Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-Wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-Tau Yih, Hu Xu:
MoDE: CLIP Data Experts via Clustering. CVPR 2024: 26344-26353 - [c33]Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava:
Fast Encoding and Decoding for Implicit Video Representation. ECCV (39) 2024: 402-418 - [c32]Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
Demystifying CLIP Data. ICLR 2024 - [c31]Muzi Tao, Saining Xie:
What Does a Visual Formal Analysis of the World's 500 Most Famous Paintings Tell Us About Multimodal LLMs? Tiny Papers @ ICLR 2024 - [i42]Jiraphon Yenphraphai, Xichen Pan, Sainan Liu, Daniele Panozzo, Saining Xie:
Image Sculpting: Precise Object Editing with 3D Geometry Control. CoRR abs/2401.01702 (2024) - [i41]Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie:
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CoRR abs/2401.06209 (2024) - [i40]Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie:
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers. CoRR abs/2401.08740 (2024) - [i39]Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He:
Deconstructing Denoising Diffusion Models for Self-Supervised Learning. CoRR abs/2401.14404 (2024) - [i38]Jihan Yang, Runyu Ding, Ellis Brown, Xiaojuan Qi, Saining Xie:
V-IRL: Grounding Virtual Intelligence in Real Life. CoRR abs/2402.03310 (2024) - [i37]Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-Wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-Tau Yih, Hu Xu:
MoDE: CLIP Data Experts via Clustering. CoRR abs/2404.16030 (2024) - [i36]Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine:
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. CoRR abs/2405.10292 (2024) - [i35]Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie:
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs. CoRR abs/2406.16860 (2024) - [i34]Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie:
On Scaling Up 3D Gaussian Splatting Training. CoRR abs/2406.18533 (2024) - [i33]Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava:
Fast Encoding and Decoding for Implicit Video Representation. CoRR abs/2409.19429 (2024) - [i32]Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jeng-Neng Hwang, Saining Xie, Christopher D. Manning:
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark. CoRR abs/2410.03051 (2024) - 2023
- [c30]Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie:
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. CVPR 2023: 16133-16142 - [c29]William Peebles, Saining Xie:
Scalable Diffusion Models with Transformers. ICCV 2023: 4172-4182 - [c28]Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
CiT: Curation in Training for Effective Vision-Language Data. ICCV 2023: 15134-15143 - [c27]Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan:
Going Denser with Open-Vocabulary Part Segmentation. ICCV 2023: 15407-15419 - [i31]Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie:
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. CoRR abs/2301.00808 (2023) - [i30]Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
CiT: Curation in Training for Effective Vision-Language Data. CoRR abs/2301.02241 (2023) - [i29]Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan:
Going Denser with Open-Vocabulary Part Segmentation. CoRR abs/2305.11173 (2023) - [i28]Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
Demystifying CLIP Data. CoRR abs/2309.16671 (2023) - [i27]Penghao Wu, Saining Xie:
V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs. CoRR abs/2312.14135 (2023) - 2022
- [j4]Linnan Wang
, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian:
Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5503-5515 (2022) - [c26]Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. CVPR 2022: 11966-11976 - [c25]Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer:
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CVPR 2022: 14648-14658 - [c24]Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick:
Masked Autoencoders Are Scalable Vision Learners. CVPR 2022: 15979-15988 - [c23]Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie:
SLIP: Self-supervision Meets Language-Image Pre-training. ECCV (26) 2022: 529-544 - [i26]Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. CoRR abs/2201.03545 (2022) - [i25]Ronghang Hu, Shoubhik Debnath, Saining Xie, Xinlei Chen:
Exploring Long-Sequence Masked Autoencoders. CoRR abs/2210.07224 (2022) - [i24]William Peebles, Saining Xie:
Scalable Diffusion Models with Transformers. CoRR abs/2212.09748 (2022) - 2021
- [c22]Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie:
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts. CVPR 2021: 15587-15597 - [c21]Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? ICCV 2021: 5673-5682 - [c20]Xinlei Chen, Saining Xie, Kaiming He:
An Empirical Study of Training Self-Supervised Vision Transformers. ICCV 2021: 9620-9629 - [c19]Eric Mintun, Alexander Kirillov, Saining Xie:
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. NeurIPS 2021: 3571-3583 - [i23]Eric Mintun, Alexander Kirillov, Saining Xie:
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. CoRR abs/2102.11273 (2021) - [i22]Xinlei Chen, Saining Xie, Kaiming He:
An Empirical Study of Training Self-Supervised Vision Transformers. CoRR abs/2104.02057 (2021) - [i21]Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? CoRR abs/2104.11225 (2021) - [i20]Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick:
Masked Autoencoders Are Scalable Vision Learners. CoRR abs/2111.06377 (2021) - [i19]Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick:
Benchmarking Detection Transfer Learning with Vision Transformers. CoRR abs/2111.11429 (2021) - [i18]Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer:
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CoRR abs/2112.09133 (2021) - [i17]Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie:
SLIP: Self-supervision meets Language-Image Pre-training. CoRR abs/2112.12750 (2021) - [i16]Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz:
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR abs/2112.13884 (2021) - 2020
- [c18]Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick:
Momentum Contrast for Unsupervised Visual Representation Learning. CVPR 2020: 9726-9735 - [c17]Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez:
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. CVPR 2020: 12962-12971 - [c16]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. ECCV (3) 2020: 574-591 - [c15]Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie:
Are Labels Necessary for Neural Architecture Search? ECCV (4) 2020: 798-813 - [c14]Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis:
Decoupling Representation and Classifier for Long-Tailed Recognition. ICLR 2020 - [c13]Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie:
Graph Structure of Neural Networks. ICML 2020: 10881-10891 - [i15]Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie:
Are Labels Necessary for Neural Architecture Search? CoRR abs/2003.12056 (2020) - [i14]Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez:
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. CoRR abs/2004.05565 (2020) - [i13]Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie:
Graph Structure of Neural Networks. CoRR abs/2007.06559 (2020) - [i12]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR abs/2007.10985 (2020) - [i11]Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie:
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts. CoRR abs/2012.09165 (2020)
2010 – 2019
- 2019
- [c12]Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He:
Exploring Randomly Wired Neural Networks for Image Recognition. ICCV 2019: 1284-1293 - [c11]Zhuoyuan Chen, Kavya Srinet, Charles R. Qi, Haoqi Fan, Jerry Ma, Larry Zitnick, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Arthur Szlam, Shubham Tulsiani, Haonan Yu, Jonathan Gray:
Order-Aware Generative Modeling Using the 3D-Craft Dataset. ICCV 2019: 1764-1773 - [c10]Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár:
On Network Design Spaces for Visual Recognition. ICCV 2019: 1882-1890 - [i10]Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He:
Exploring Randomly Wired Neural Networks for Image Recognition. CoRR abs/1904.01569 (2019) - [i9]Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár:
On Network Design Spaces for Visual Recognition. CoRR abs/1905.13214 (2019) - [i8]Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian:
Sample-Efficient Neural Architecture Search by Learning Action Space. CoRR abs/1906.06832 (2019) - [i7]Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis:
Decoupling Representation and Classifier for Long-Tailed Recognition. CoRR abs/1910.09217 (2019) - [i6]Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick:
Momentum Contrast for Unsupervised Visual Representation Learning. CoRR abs/1911.05722 (2019) - 2018
- [b1]Saining Xie:
Deep Representation Learning with Induced Structural Priors. University of California, San Diego, USA, 2018 - [c9]Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu:
Attentional ShapeContextNet for Point Cloud Recognition. CVPR 2018: 4606-4615 - [c8]Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. ECCV (15) 2018: 318-335 - 2017
- [j3]Saining Xie, Zhuowen Tu:
Holistically-Nested Edge Detection. Int. J. Comput. Vis. 125(1-3): 3-18 (2017) - [c7]Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. CVPR 2017: 5987-5995 - [i5]Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning For Video Understanding. CoRR abs/1712.04851 (2017) - 2016
- [c6]Saining Xie, Xun Huang, Zhuowen Tu:
Top-Down Learning for Structured Labeling with Convolutional Pseudoprior. ECCV (4) 2016: 302-317 - [i4]Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He:
Aggregated Residual Transformations for Deep Neural Networks. CoRR abs/1611.05431 (2016) - 2015
- [c5]Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu:
Deeply-Supervised Nets. AISTATS 2015 - [c4]Saining Xie, Tianbao Yang, Xiaoyu Wang, Yuanqing Lin:
Hyper-class augmented and regularized deep learning for fine-grained image classification. CVPR 2015: 2645-2654 - [c3]Saining Xie, Zhuowen Tu:
Holistically-Nested Edge Detection. ICCV 2015: 1395-1403 - [i3]Saining Xie, Zhuowen Tu:
Holistically-Nested Edge Detection. CoRR abs/1504.06375 (2015) - [i2]Saining Xie, Xun Huang, Zhuowen Tu:
Convolutional Pseudo-Prior for Structured Labeling. CoRR abs/1511.07409 (2015) - 2014
- [j2]Yangcheng He, Hongtao Lu, Saining Xie:
Semi-supervised non-negative matrix factorization for image clustering with graph Laplacian. Multim. Tools Appl. 72(2): 1441-1463 (2014) - [j1]Yangcheng He, Hongtao Lu, Lei Huang, Saining Xie:
Pairwise constrained concept factorization for data representation. Neural Networks 52: 1-17 (2014) - [i1]Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu:
Deeply-Supervised Nets. CoRR abs/1409.5185 (2014) - 2013
- [c2]Saining Xie, Jiashi Feng, Shuicheng Yan, Hongtao Lu:
Perception Preserving Projections. BMVC 2013 - 2012
- [c1]Saining Xie, Hongtao Lu, Yangcheng He:
Multi-task co-clustering via nonnegative matrix factorization. ICPR 2012: 2954-2958
Coauthor Index
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