Saining Xie

According to our database, Saining Xie authored at least 57 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie

CoRR, 2024

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing.

June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee

CoRR, 2024

AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark.

Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jeng-Neng Hwang, Saining Xie, Christopher D. Manning

CoRR, 2024

On Scaling Up 3D Gaussian Splatting Training.

Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie

CoRR, 2024

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

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

CoRR, 2024

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning.

Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine

CoRR, 2024

Deconstructing Denoising Diffusion Models for Self-Supervised Learning.

Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He

CoRR, 2024

What Does a Visual Formal Analysis of the World's 500 Most Famous Paintings Tell Us About Multimodal LLMs?

Muzi Tao, Saining Xie

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Demystifying CLIP Data.

Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Altogether: Image Captioning via Re-aligning Alt-text.

Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

V-IRL: Grounding Virtual Intelligence in Real Life.

Jihan Yang, Runyu Ding, Ellis Brown, Xiaojuan Qi, Saining Xie

Proceedings of the Computer Vision - ECCV 2024, 2024

SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers.

Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie

Proceedings of the Computer Vision - ECCV 2024, 2024

Fast Encoding and Decoding for Implicit Video Representation.

Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2024, 2024

Image Sculpting: Precise Object Editing with 3D Geometry Control.

Jiraphon Yenphraphai, Xichen Pan, Sainan Liu, Daniele Panozzo, Saining Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs.

Penghao Wu, Saining Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs.

Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MoDE: CLIP Data Experts via Clustering.

Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-Wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-Tau Yih, Hu Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Going Denser with Open-Vocabulary Part Segmentation.

Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scalable Diffusion Models with Transformers.

William Peebles, Saining Xie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CiT: Curation in Training for Effective Vision-Language Data.

Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders.

Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search.

Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Exploring Long-Sequence Masked Autoencoders.

Ronghang Hu, Shoubhik Debnath, Saining Xie, Xinlei Chen

CoRR, 2022

SLIP: Self-supervision Meets Language-Image Pre-training.

Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie

Proceedings of the Computer Vision - ECCV 2022, 2022

Masked Autoencoders Are Scalable Vision Learners.

Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Masked Feature Prediction for Self-Supervised Visual Pre-Training.

Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A ConvNet for the 2020s.

Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision.

Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz

CoRR, 2021

Benchmarking Detection Transfer Learning with Vision Transformers.

Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick

CoRR, 2021

On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness.

Eric Mintun, Alexander Kirillov, Saining Xie

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Pri3D: Can 3D Priors Help 2D Representation Learning?

Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

An Empirical Study of Training Self-Supervised Vision Transformers.

Xinlei Chen, Saining Xie, Kaiming He

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts.

Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Graph Structure of Neural Networks.

Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie

Proceedings of the 37th International Conference on Machine Learning, 2020

Decoupling Representation and Classifier for Long-Tailed Recognition.

Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis

Proceedings of the 8th International Conference on Learning Representations, 2020

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.

Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany

Proceedings of the Computer Vision - ECCV 2020, 2020

Are Labels Necessary for Neural Architecture Search?

Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie

Proceedings of the Computer Vision - ECCV 2020, 2020

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Momentum Contrast for Unsupervised Visual Representation Learning.

Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Sample-Efficient Neural Architecture Search by Learning Action Space.

Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian

CoRR, 2019

Exploring Randomly Wired Neural Networks for Image Recognition.

Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

On Network Design Spaces for Visual Recognition.

Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Order-Aware Generative Modeling Using the 3D-Craft Dataset.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep Representation Learning with Induced Structural Priors.

Saining Xie

PhD thesis, 2018

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification.

Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy

Proceedings of the Computer Vision - ECCV 2018, 2018

Attentional ShapeContextNet for Point Cloud Recognition.

Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Holistically-Nested Edge Detection.

Saining Xie, Zhuowen Tu

Int. J. Comput. Vis., 2017

Rethinking Spatiotemporal Feature Learning For Video Understanding.

Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy

CoRR, 2017

Aggregated Residual Transformations for Deep Neural Networks.

Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Top-Down Learning for Structured Labeling with Convolutional Pseudoprior.

Saining Xie, Xun Huang, Zhuowen Tu

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Convolutional Pseudo-Prior for Structured Labeling.

Saining Xie, Xun Huang, Zhuowen Tu

CoRR, 2015

Hyper-class augmented and regularized deep learning for fine-grained image classification.

Saining Xie, Tianbao Yang, Xiaoyu Wang, Yuanqing Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Deeply-Supervised Nets.

Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Pairwise constrained concept factorization for data representation.

Yangcheng He, Hongtao Lu, Lei Huang, Saining Xie

Neural Networks, 2014

Semi-supervised non-negative matrix factorization for image clustering with graph Laplacian.

Yangcheng He, Hongtao Lu, Saining Xie

Multim. Tools Appl., 2014

2013

Perception Preserving Projections.

Saining Xie, Jiashi Feng, Shuicheng Yan, Hongtao Lu

Proceedings of the British Machine Vision Conference, 2013

2012

Multi-task co-clustering via nonnegative matrix factorization.

Saining Xie, Hongtao Lu, Yangcheng He

Proceedings of the 21st International Conference on Pattern Recognition, 2012