Saining Xie
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
10
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting. | Hexu Zhao, Xiwen Min, Xiaoteng Liu, Moonjun Gong, Yiming Li, Ang Li, Saining Xie, Jinyang Li, Aurojit Panda |
| 2025 | CVPR | Science-T2I: Addressing Scientific Illusions in Image Synthesis. | Jialuo Li, Wenhao Chai, Xingyu Fu, Haiyang Xu, Saining Xie |
| 2025 | CVPR | Scaling Inference Time Compute for Diffusion Models. | Nanye Ma, Shangyuan Tong, Haolin Jia, Hexiang Hu, Yu-Chuan Su, Mingda Zhang, Xuan Yang, Yandong Li, Tommi S. Jaakkola, Xuhui Jia, Saining Xie |
| 2025 | CVPR | Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis. | Bingda Tang, Boyang Zheng, Sayak Paul, Saining Xie |
| 2025 | CVPR | Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces. | Jihan Yang, Shusheng Yang, Anjali W. Gupta, Rilyn Han, Li Fei-Fei, Saining Xie |
| 2025 | ICCV | Scaling Language-Free Visual Representation Learning. | David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie |
| 2025 | ICCV | REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers. | Xingjian Leng, Jaskirat Singh, Yunzhong Hou, Zhenchang Xing, Saining Xie, Liang Zheng |
| 2025 | ICCV | MetaMorph: Multimodal Understanding and Generation via Instruction Tuning. | Shengbang Tong, David Fan, Jiachen Zhu, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu |
| 2025 | ICLR | AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark. | Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jenq-Neng Hwang, Saining Xie, Christopher D. Manning |
| 2025 | ICLR | Deconstructing Denoising Diffusion Models for Self-Supervised Learning. | Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He |
| 2025 | ICLR | DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. | June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee |
| 2025 | ICLR | 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 |
| 2025 | ICLR | On Scaling Up 3D Gaussian Splatting Training. | Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie |
| 2025 | ICML | SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. | Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma |
| 2025 | ICML | PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop. | Chenyu Li, Oscar Michel, Xichen Pan, Sainan Liu, Mike Roberts, Saining Xie |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. | Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie |
| 2024 | CVPR | V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs. | Penghao Wu, Saining Xie |
| 2024 | CVPR | Image Sculpting: Precise Object Editing with 3D Geometry Control. | Jiraphon Yenphraphai, Xichen Pan, Sainan Liu, Daniele Panozzo, Saining Xie |
| 2024 | ECCV | Fast Encoding and Decoding for Implicit Video Representation. | Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava |
| 2024 | ECCV | 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 |
| 2024 | ECCV | V-IRL: Grounding Virtual Intelligence in Real Life. | Jihan Yang, Runyu Ding, Ellis Brown, Xiaojuan Qi, Saining Xie |
| 2024 | ECCV | On Scaling Up 3D Gaussian Splatting Training. | Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | What Does a Visual Formal Analysis of the World's 500 Most Famous Paintings Tell Us About Multimodal LLMs? | Muzi Tao, Saining Xie |
| 2023 | CVPR | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | Scalable Diffusion Models with Transformers. | William Peebles, Saining Xie |
| 2023 | ICCV | Going Denser with Open-Vocabulary Part Segmentation. | Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan |
| 2022 | CVPR | A ConvNet for the 2020s. | Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie |
| 2022 | CVPR | Masked Feature Prediction for Self-Supervised Visual Pre-Training. | Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer |
| 2022 | CVPR | Masked Autoencoders Are Scalable Vision Learners. | Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollr, Ross B. Girshick |
| 2022 | ECCV | SLIP: Self-supervision Meets Language-Image Pre-training. | Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie |
| 2021 | CVPR | Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts. | Ji Hou, Benjamin Graham, Matthias Niener, Saining Xie |
| 2021 | ICCV | An Empirical Study of Training Self-Supervised Vision Transformers. | Xinlei Chen, Saining Xie, Kaiming He |
| 2021 | ICCV | Pri3D: Can 3D Priors Help 2D Representation Learning? | Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Niener |
| 2020 | CVPR | Momentum Contrast for Unsupervised Visual Representation Learning. | Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick |
| 2020 | CVPR | 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 |
| 2020 | ECCV | Are Labels Necessary for Neural Architecture Search? | Chenxi Liu, Piotr Dollr, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie |
| 2020 | ECCV | PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. | Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany |
| 2020 | ICLR | Decoupling Representation and Classifier for Long-Tailed Recognition. | Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis |
| 2020 | ICML | Graph Structure of Neural Networks. | Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie |
| 2019 | ICCV | 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 |
| 2019 | ICCV | On Network Design Spaces for Visual Recognition. | Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollr |
| 2019 | ICCV | Exploring Randomly Wired Neural Networks for Image Recognition. | Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He |
| 2018 | CVPR | Attentional ShapeContextNet for Point Cloud Recognition. | Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu |
| 2018 | ECCV | Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. | Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy |
| 2017 | CVPR | Aggregated Residual Transformations for Deep Neural Networks. | Saining Xie, Ross B. Girshick, Piotr Dollr, Zhuowen Tu, Kaiming He |
| 2016 | ECCV | Top-Down Learning for Structured Labeling with Convolutional Pseudoprior. | Saining Xie, Xun Huang, Zhuowen Tu |
| 2015 | AISTATS | Deeply-Supervised Nets. | Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu |
| 2015 | CVPR | Hyper-class augmented and regularized deep learning for fine-grained image classification. | Saining Xie, Tianbao Yang, Xiaoyu Wang, Yuanqing Lin |
| 2015 | ICCV | Holistically-Nested Edge Detection. | Saining Xie, Zhuowen Tu |
| 2013 | BMVC | Perception Preserving Projections. | Saining Xie, Jiashi Feng, Shuicheng Yan, Hongtao Lu |
| 2012 | ICPR | Multi-task co-clustering via nonnegative matrix factorization. | Saining Xie, Hongtao Lu, Yangcheng He |