Saining Xie

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 71

Top Venues

CoRR

CVPR

ICCV

ECCV (4)

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He
Deconstructing Denoising Diffusion Models for Self-Supervised Learning. CoRR (2024)
Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CoRR (2024)
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 (2024)
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 (2024)
Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
On Scaling Up 3D Gaussian Splatting Training. CoRR (2024)
Jihan Yang, Runyu Ding, Ellis Brown, Xiaojuan Qi, Saining Xie
V-IRL: Grounding Virtual Intelligence in Real Life. CoRR (2024)
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 (2024)
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)
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 (2024)
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)
Jiraphon Yenphraphai, Xichen Pan, Sainan Liu, Daniele Panozzo, Saining Xie
Image Sculpting: Precise Object Editing with 3D Geometry Control. CoRR (2024)
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 (2023)
Penghao Wu, Saining Xie
V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs. CoRR (2023)
Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan
Going Denser with Open-Vocabulary Part Segmentation. ICCV (2023)
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 (2023)
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)
William Peebles, Saining Xie
Scalable Diffusion Models with Transformers. ICCV (2023)
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)
Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan
Going Denser with Open-Vocabulary Part Segmentation. CoRR (2023)
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 (2023)
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
A ConvNet for the 2020s. CVPR (2022)
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
Masked Autoencoders Are Scalable Vision Learners. CVPR (2022)
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) (2022)
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
A ConvNet for the 2020s. CoRR (2022)
Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie
SLIP: Self-supervision Meets Language-Image Pre-training. ECCV (26) (2022)
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)
Ronghang Hu, Shoubhik Debnath, Saining Xie, Xinlei Chen
Exploring Long-Sequence Masked Autoencoders. CoRR (2022)
William Peebles, Saining Xie
Scalable Diffusion Models with Transformers. CoRR (2022)
Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick
Benchmarking Detection Transfer Learning with Vision Transformers. CoRR (2021)
Eric Mintun, Alexander Kirillov, Saining Xie
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. CoRR (2021)
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
Masked Autoencoders Are Scalable Vision Learners. CoRR (2021)
Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner
Pri3D: Can 3D Priors Help 2D Representation Learning? CoRR (2021)
Xinlei Chen, Saining Xie, Kaiming He
An Empirical Study of Training Self-Supervised Vision Transformers. ICCV (2021)
Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts. CVPR (2021)
Eric Mintun, Alexander Kirillov, Saining Xie
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. NeurIPS (2021)
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CoRR (2021)
Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner
Pri3D: Can 3D Priors Help 2D Representation Learning? ICCV (2021)
Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie
SLIP: Self-supervision meets Language-Image Pre-training. CoRR (2021)
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 (2021)
Xinlei Chen, Saining Xie, Kaiming He
An Empirical Study of Training Self-Supervised Vision Transformers. CoRR (2021)
Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts. CoRR (2020)
Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
Are Labels Necessary for Neural Architecture Search? ECCV (4) (2020)
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
Graph Structure of Neural Networks. CoRR (2020)
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
Momentum Contrast for Unsupervised Visual Representation Learning. CVPR (2020)
Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
Are Labels Necessary for Neural Architecture Search? CoRR (2020)
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)
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR (2020)
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 (2020)
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
Decoupling Representation and Classifier for Long-Tailed Recognition. ICLR (2020)
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
Graph Structure of Neural Networks. ICML (2020)
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)
Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He
Exploring Randomly Wired Neural Networks for Image Recognition. ICCV (2019)
Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He
Exploring Randomly Wired Neural Networks for Image Recognition. CoRR (2019)
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
Momentum Contrast for Unsupervised Visual Representation Learning. CoRR (2019)
Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
On Network Design Spaces for Visual Recognition. CoRR (2019)
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)
Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian
Sample-Efficient Neural Architecture Search by Learning Action Space. CoRR (2019)
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
Decoupling Representation and Classifier for Long-Tailed Recognition. CoRR (2019)
Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
On Network Design Spaces for Visual Recognition. ICCV (2019)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. ECCV (15) (2018)
Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu
Attentional ShapeContextNet for Point Cloud Recognition. CVPR (2018)
Saining Xie, Zhuowen Tu
Holistically-Nested Edge Detection. Int. J. Comput. Vis. 125 (1-3) (2017)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
Rethinking Spatiotemporal Feature Learning For Video Understanding. CoRR (2017)
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
Aggregated Residual Transformations for Deep Neural Networks. CVPR (2017)
Saining Xie, Xun Huang, Zhuowen Tu
Top-Down Learning for Structured Labeling with Convolutional Pseudoprior. ECCV (4) (2016)
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
Aggregated Residual Transformations for Deep Neural Networks. CoRR (2016)
Saining Xie, Zhuowen Tu
Holistically-Nested Edge Detection. CoRR (2015)
Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu
Deeply-Supervised Nets. AISTATS (2015)
Saining Xie, Zhuowen Tu
Holistically-Nested Edge Detection. ICCV (2015)
Saining Xie, Xun Huang, Zhuowen Tu
Convolutional Pseudo-Prior for Structured Labeling. CoRR (2015)
Saining Xie, Tianbao Yang, Xiaoyu Wang, Yuanqing Lin
Hyper-class augmented and regularized deep learning for fine-grained image classification. CVPR (2015)
Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu
Deeply-Supervised Nets. CoRR (2014)
Yangcheng He, Hongtao Lu, Saining Xie
Semi-supervised non-negative matrix factorization for image clustering with graph Laplacian. Multim. Tools Appl. 72 (2) (2014)
Yangcheng He, Hongtao Lu, Lei Huang, Saining Xie
Pairwise constrained concept factorization for data representation. Neural Networks 52 (2014)
Saining Xie, Jiashi Feng, Shuicheng Yan, Hongtao Lu
Perception Preserving Projections. BMVC (2013)
Saining Xie, Hongtao Lu, Yangcheng He
Multi-task co-clustering via nonnegative matrix factorization. ICPR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Saining Xie