Saining Xie

140 papers A* 41A 2B 1Journal 84Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Language Modeling: An Exploration of Multimodal Pretraining.
CoRR
Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie
2026 — conf
CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting.
ASPLOS (2)
Hexu Zhao, Xiwen Min, Xiaoteng Liu, Moonjun Gong, Yiming Li, Ang Li, Saining Xie, Jinyang Li, Aurojit Panda
2026 J jnl
Repurposing Geometric Foundation Models for Multi-view Diffusion.
CoRR
Wooseok Jang, Seonghu Jeon, Jisang Han, Jinhyeok Choi, Minkyung Kwon, Seungryong Kim, Saining Xie, Sainan Liu
2026 J jnl
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders.
CoRR
Shengbang Tong, Boyang Zheng, Ziteng Wang, Bingda Tang, Nanye Ma, Ellis Brown, Jihan Yang, Rob Fergus, Yann LeCun, Saining Xie
2026 J jnl
Self-Refining Video Sampling.
CoRR
Sangwon Jang, Taekyung Ki, Jaehyeong Jo, Saining Xie, Jaehong Yoon, Sung Ju Hwang
2026 J jnl
Solaris: Building a Multiplayer Video World Model in Minecraft.
CoRR
Georgy Savva, Oscar Michel, Daohan Lu, Suppakit Waiwitlikhit, Timothy Meehan, Dhairya Mishra, Srivats Poddar, Jack Lu, Saining Xie
2026 J jnl
Transition Matching Distillation for Fast Video Generation.
CoRR
Weili Nie, Julius Berner, Nanye Ma, Chao Liu, Saining Xie, Arash Vahdat
2025 A* conf
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark.
ICLR
Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jenq-Neng Hwang, Saining Xie, Christopher D. Manning
2025 J jnl
AutoCode: LLMs as Problem Setters for Competitive Programming.
CoRR
Shang Zhou, Zihan Zheng, Kaiyuan Liu, Zeyu Shen, Zerui Cheng, Zexing Chen, Hansen He, Jianzhu Yao, Huanzhi Mao, Qiuyang Mang, Tianfu Fu, Beichen Li, Dongruixuan Li, Wenhao Chai, Zhuang Liu, Aleksandra Korolova, Peter Henderson, Natasha Jaques, Pramod Viswanath, Saining Xie, Jingbo Shang
2025 J jnl
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.
CoRR
Jiuhai Chen, Zhiyang Xu, Xichen Pan, Yushi Hu, Can Qin, Tom Goldstein, Lifu Huang, Tianyi Zhou, Saining Xie, Silvio Savarese, Le Xue, Caiming Xiong, Ran Xu
2025 J jnl
Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts.
CoRR
Ellis Brown, Jihan Yang, Shusheng Yang, Rob Fergus, Saining Xie
2025 J jnl
BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing.
CoRR
Jiacheng Chen, Ramin Mehran, Xuhui Jia, Saining Xie, Sanghyun Woo
2025 J jnl
CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting.
CoRR
Hexu Zhao, Xiwen Min, Xiaoteng Liu, Moonjun Gong, Yiming Li, Ang Li, Saining Xie, Jinyang Li, Aurojit Panda
2025 J jnl
Cambrian-S: Towards Spatial Supersensing in Video.
CoRR
Shusheng Yang, Jihan Yang, Pinzhi Huang, Ellis Brown, Zihao Yang, Yue Yu, Shengbang Tong, Zihan Zheng, Yifan Xu, Muhan Wang, Daohan Lu, Rob Fergus, Yann LeCun, Li Fei-Fei, Saining Xie
2025 A* conf
Deconstructing Denoising Diffusion Models for Self-Supervised Learning.
ICLR
Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He
2025 J jnl
Diffusion Transformers with Representation Autoencoders.
CoRR
Boyang Zheng, Nanye Ma, Shengbang Tong, Saining Xie
2025 A* conf
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing.
ICLR
June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee
2025 J jnl
Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy.
CoRR
Inkook Chun, Seungjae Lee, Michael S. Albergo, Saining Xie, Eric Vanden-Eijnden
2025 A* conf
Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis.
CVPR
Bingda Tang, Boyang Zheng, Sayak Paul, Saining Xie
2025 J jnl
Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis.
CoRR
Bingda Tang, Boyang Zheng, Xichen Pan, Sayak Paul, Saining Xie
2025 J jnl
Flow Map Distillation Without Data.
CoRR
Shangyuan Tong, Nanye Ma, Saining Xie, Tommi Jaakkola
2025 J jnl
FrontierCS: Evolving Challenges for Evolving Intelligence.
CoRR
Qiuyang Mang, Wenhao Chai, Zhifei Li, Huanzhi Mao, Shang Zhou, Alexander Du, Hanchen Li, Shu Liu, Edwin Chen, Yichuan Wang, Xieting Chu, Zerui Cheng, Yuan Xu, Tian Xia, Zirui Wang, Tianneng Shi, Jianzhu Yao, Yilong Zhao, Qizheng Zhang, Charlie Ruan, Zeyu Shen, Kaiyuan Liu, Runyuan He, Dong Xing, Zerui Li, Zirong Zeng, Yige Jiang, Lufeng Cheng, Ziyi Zhao, Youran Sun, Wesley Zheng, Meiyuwang Zhang, Ruyi Ji, Xuechang Tu, Zihan Zheng, Zexing Chen, Kangyang Zhou, Zhaozi Wang, Jingbang Chen, Aleksandra Korolova, Peter Henderson, Pramod Viswanath, Vijay Ganesh, Saining Xie, Zhuang Liu, Dawn Song, Sewon Min, Ion Stoica, Joseph E. Gonzalez, Jingbo Shang, Alvin Cheung
2025 J jnl
GaussianLens: Localized High-Resolution Reconstruction via On-Demand Gaussian Densification.
CoRR
Yijia Weng, Zhicheng Wang, Songyou Peng, Saining Xie, Howard Zhou, Leonidas J. Guibas
2025 J jnl
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.
CoRR
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 J jnl
LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
CoRR
Zihan Zheng, Zerui Cheng, Zeyu Shen, Shang Zhou, Kaiyuan Liu, Hansen He, Dongruixuan Li, Stanley Wei, Hangyi Hao, Jianzhu Yao, Peiyao Sheng, Zixuan Wang, Wenhao Chai, Aleksandra Korolova, Peter Henderson, Sanjeev Arora, Pramod Viswanath, Jingbo Shang, Saining Xie
2025 J jnl
Meta CLIP 2: A Worldwide Scaling Recipe.
CoRR
Yung-Sung Chuang, Yang Li, Dong Wang, Ching-Feng Yeh, Kehan Lyu, Ramya Raghavendra, James Glass, Lifei Huang, Jason Weston, Luke Zettlemoyer, Xinlei Chen, Zhuang Liu, Saining Xie, Wen-tau Yih, Shang-wen Li, Hu Xu
2025 J jnl
Next-Embedding Prediction Makes Strong Vision Learners.
CoRR
Sihan Xu, Ziqiao Ma, Wenhao Chai, Xuweiyi Chen, Weiyang Jin, Joyce Chai, Saining Xie, Stella X. Yu
2025 A* conf
On Scaling Up 3D Gaussian Splatting Training.
ICLR
Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
2025 A* conf
PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop.
ICML
Chenyu Li, Oscar Michel, Xichen Pan, Sainan Liu, Mike Roberts, Saining Xie
2025 J jnl
PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop.
CoRR
Chenyu Li, Oscar Michel, Xichen Pan, Sainan Liu, Mike Roberts, Saining Xie
2025 J jnl
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers.
CoRR
Xingjian Leng, Jaskirat Singh, Yunzhong Hou, Zhenchang Xing, Saining Xie, Liang Zheng
2025 A* conf
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.
ICLR
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie
2025 A* conf
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.
ICML
Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma
2025 J jnl
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.
CoRR
Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma
2025 J jnl
SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding.
CoRR
Ellis Brown, Arijit Ray, Ranjay Krishna, Ross B. Girshick, Rob Fergus, Saining Xie
2025 A* conf
Scaling Inference Time Compute for Diffusion Models.
CVPR
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 J jnl
Scaling Language-Free Visual Representation Learning.
CoRR
David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie
2025 A* conf
Science-T2I: Addressing Scientific Illusions in Image Synthesis.
CVPR
Jialuo Li, Wenhao Chai, Xingyu Fu, Haiyang Xu, Saining Xie
2025 J jnl
Science-T2I: Addressing Scientific Illusions in Image Synthesis.
CoRR
Jialuo Li, Wenhao Chai, Xingyu Fu, Haiyang Xu, Saining Xie
2025 J jnl
Spatial Mental Modeling from Limited Views.
CoRR
Baiqiao Yin, Qineng Wang, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Manling Li, Jiajun Wu, Li Fei-Fei
2025 J jnl
Thinking in 360°: Humanoid Visual Search in the Wild.
CoRR
Heyang Yu, Yinan Han, Xiangyu Zhang, Baiqiao Yin, Bowen Chang, Xiangyu Han, Xinhao Liu, Jing Zhang, Marco Pavone, Chen Feng, Saining Xie, Yiming Li
2025 A* conf
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces.
CVPR
Jihan Yang, Shusheng Yang, Anjali W. Gupta, Rilyn Han, Li Fei-Fei, Saining Xie
2025 J jnl
Transfer between Modalities with MetaQueries.
CoRR
Xichen Pan, Satya Narayan Shukla, Aashu Singh, Zhuokai Zhao, Shlok Kumar Mishra, Jialiang Wang, Zhiyang Xu, Jiuhai Chen, Kunpeng Li, Felix Juefei-Xu, Ji Hou, Saining Xie
2025 J jnl
VULCAN: Tool-Augmented Multi Agents for Iterative 3D Object Arrangement.
CoRR
Zhengfei Kuang, Rui Lin, Long Zhao, Gordon Wetzstein, Saining Xie, Sanghyun Woo
2025 J jnl
What matters for Representation Alignment: Global Information or Spatial Structure?
CoRR
Jaskirat Singh, Xingjian Leng, Zongze Wu, Liang Zheng, Richard Zhang, Eli Shechtman, Saining Xie
2024 A* conf
Altogether: Image Captioning via Re-aligning Alt-text.
EMNLP
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 J jnl
Altogether: Image Captioning via Re-aligning Alt-text.
CoRR
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 J jnl
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark.
CoRR
Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jenq-Neng Hwang, Saining Xie, Christopher D. Manning
2024 A* conf
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.
NeurIPS
Peter Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Adithya Iyer, Sai Charitha Akula, Shusheng Yang, Jihan Yang, Manoj Middepogu, Ziteng Wang, Xichen Pan, Rob Fergus, Yann LeCun, Saining Xie
2024 J jnl
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.
CoRR
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
2024 J jnl
Deconstructing Denoising Diffusion Models for Self-Supervised Learning.
CoRR
Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He
2024 A* conf
Demystifying CLIP Data.
ICLR
Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2024 J jnl
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing.
CoRR
June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee
2024 A* conf
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs.
CVPR
Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
2024 J jnl
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs.
CoRR
Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
2024 — conf
Fast Encoding and Decoding for Implicit Video Representation.
ECCV (39)
Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava
2024 J jnl
Fast Encoding and Decoding for Implicit Video Representation.
CoRR
Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava
2024 A* conf
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning.
NeurIPS
Simon Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Peter Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
2024 J jnl
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning.
CoRR
Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
2024 A* conf
Image Sculpting: Precise Object Editing with 3D Geometry Control.
CVPR
Jiraphon Yenphraphai, Xichen Pan, Sainan Liu, Daniele Panozzo, Saining Xie
2024 J jnl
Image Sculpting: Precise Object Editing with 3D Geometry Control.
CoRR
Jiraphon Yenphraphai, Xichen Pan, Sainan Liu, Daniele Panozzo, Saining Xie
2024 J jnl
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.
CoRR
Shengbang Tong, David Fan, Jiachen Zhu, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu
2024 A* conf
MoDE: CLIP Data Experts via Clustering.
CVPR
Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-tau Yih, Hu Xu
2024 J jnl
MoDE: CLIP Data Experts via Clustering.
CoRR
Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-tau Yih, Hu Xu
2024 — conf
On Scaling Up 3D Gaussian Splatting Training.
ECCV Workshops (23)
Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
2024 J jnl
On Scaling Up 3D Gaussian Splatting Training.
CoRR
Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
2024 J jnl
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.
CoRR
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie
2024 — conf
SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers.
ECCV (77)
Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie
2024 J jnl
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.
CoRR
Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie
2024 J jnl
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces.
CoRR
Jihan Yang, Shusheng Yang, Anjali W. Gupta, Rilyn Han, Li Fei-Fei, Saining Xie
2024 A* conf
V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs.
CVPR
Penghao Wu, Saining Xie
2024 — conf
V-IRL: Grounding Virtual Intelligence in Real Life.
ECCV (45)
Jihan Yang, Runyu Ding, Ellis Brown, Xiaojuan Qi, Saining Xie
2024 J jnl
V-IRL: Grounding Virtual Intelligence in Real Life.
CoRR
Jihan Yang, Runyu Ding, Ellis Brown, Xiaojuan Qi, Saining Xie
2024 — conf
What Does a Visual Formal Analysis of the World's 500 Most Famous Paintings Tell Us About Multimodal LLMs?
Tiny Papers @ ICLR
Muzi Tao, Saining Xie
2023 A* conf
CiT: Curation in Training for Effective Vision-Language Data.
ICCV
Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023 J jnl
CiT: Curation in Training for Effective Vision-Language Data.
CoRR
Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023 A* conf
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders.
CVPR
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie
2023 J jnl
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders.
CoRR
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie
2023 J jnl
Demystifying CLIP Data.
CoRR
Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023 A* conf
Going Denser with Open-Vocabulary Part Segmentation.
ICCV
Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan
2023 J jnl
Going Denser with Open-Vocabulary Part Segmentation.
CoRR
Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan
2023 A* conf
Scalable Diffusion Models with Transformers.
ICCV
William Peebles, Saining Xie
2023 J jnl
V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs.
CoRR
Penghao Wu, Saining Xie
2022 A* conf
A ConvNet for the 2020s.
CVPR
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
2022 J jnl
A ConvNet for the 2020s.
CoRR
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
2022 J jnl
Exploring Long-Sequence Masked Autoencoders.
CoRR
Ronghang Hu, Shoubhik Debnath, Saining Xie, Xinlei Chen
2022 A* conf
Masked Autoencoders Are Scalable Vision Learners.
CVPR
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
2022 A* conf
Masked Feature Prediction for Self-Supervised Visual Pre-Training.
CVPR
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer
2022 — conf
SLIP: Self-supervision Meets Language-Image Pre-training.
ECCV (26)
Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie
2022 J jnl
Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search.
IEEE Trans. Pattern Anal. Mach. Intell.
Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian
2022 J jnl
Scalable Diffusion Models with Transformers.
CoRR
William Peebles, Saining Xie
2021 J jnl
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision.
CoRR
Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz
2021 A* conf
An Empirical Study of Training Self-Supervised Vision Transformers.
ICCV
Xinlei Chen, Saining Xie, Kaiming He
2021 J jnl
An Empirical Study of Training Self-Supervised Vision Transformers.
CoRR
Xinlei Chen, Saining Xie, Kaiming He
2021 J jnl
Benchmarking Detection Transfer Learning with Vision Transformers.
CoRR
Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick
2021 A* conf
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts.
CVPR
Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie
2021 J jnl
Masked Autoencoders Are Scalable Vision Learners.
CoRR
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
2021 J jnl
Masked Feature Prediction for Self-Supervised Visual Pre-Training.
CoRR
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer
2021 A* conf
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness.
NeurIPS
Eric Mintun, Alexander Kirillov, Saining Xie
2021 J jnl
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness.
CoRR
Eric Mintun, Alexander Kirillov, Saining Xie
2021 A* conf
Pri3D: Can 3D Priors Help 2D Representation Learning?
ICCV
Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner
2021 J jnl
Pri3D: Can 3D Priors Help 2D Representation Learning?
CoRR
Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner
2021 J jnl
SLIP: Self-supervision meets Language-Image Pre-training.
CoRR
Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie
2020 — conf
Are Labels Necessary for Neural Architecture Search?
ECCV (4)
Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
2020 J jnl
Are Labels Necessary for Neural Architecture Search?
CoRR
Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
2020 A* conf
Decoupling Representation and Classifier for Long-Tailed Recognition.
ICLR
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
2020 J jnl
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts.
CoRR
Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie
2020 A* conf
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.
CVPR
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 J jnl
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.
CoRR
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 A* conf
Graph Structure of Neural Networks.
ICML
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
2020 J jnl
Graph Structure of Neural Networks.
CoRR
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
2020 A* conf
Momentum Contrast for Unsupervised Visual Representation Learning.
CVPR
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
2020 — conf
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.
ECCV (3)
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
2020 J jnl
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.
CoRR
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
2019 J jnl
Decoupling Representation and Classifier for Long-Tailed Recognition.
CoRR
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
2019 A* conf
Exploring Randomly Wired Neural Networks for Image Recognition.
ICCV
Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He
2019 J jnl
Exploring Randomly Wired Neural Networks for Image Recognition.
CoRR
Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He
2019 J jnl
Momentum Contrast for Unsupervised Visual Representation Learning.
CoRR
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
2019 A* conf
On Network Design Spaces for Visual Recognition.
ICCV
Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
2019 J jnl
On Network Design Spaces for Visual Recognition.
CoRR
Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár
2019 A* conf
Order-Aware Generative Modeling Using the 3D-Craft Dataset.
ICCV
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 J jnl
Sample-Efficient Neural Architecture Search by Learning Action Space.
CoRR
Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian
2018 A* conf
Attentional ShapeContextNet for Point Cloud Recognition.
CVPR
Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu
2018 — —
Deep Representation Learning with Induced Structural Priors.
Saining Xie
2018 — conf
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification.
ECCV (15)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
2017 A* conf
Aggregated Residual Transformations for Deep Neural Networks.
CVPR
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
2017 J jnl
Holistically-Nested Edge Detection.
Int. J. Comput. Vis.
Saining Xie, Zhuowen Tu
2017 J jnl
Rethinking Spatiotemporal Feature Learning For Video Understanding.
CoRR
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
2016 J jnl
Aggregated Residual Transformations for Deep Neural Networks.
CoRR
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
2016 — conf
Top-Down Learning for Structured Labeling with Convolutional Pseudoprior.
ECCV (4)
Saining Xie, Xun Huang, Zhuowen Tu
2015 J jnl
Convolutional Pseudo-Prior for Structured Labeling.
CoRR
Saining Xie, Xun Huang, Zhuowen Tu
2015 A conf
Deeply-Supervised Nets.
AISTATS
Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu
2015 A* conf
Holistically-Nested Edge Detection.
ICCV
Saining Xie, Zhuowen Tu
2015 J jnl
Holistically-Nested Edge Detection.
CoRR
Saining Xie, Zhuowen Tu
2015 A* conf
Hyper-class augmented and regularized deep learning for fine-grained image classification.
CVPR
Saining Xie, Tianbao Yang, Xiaoyu Wang, Yuanqing Lin
2014 J jnl
Deeply-Supervised Nets.
CoRR
Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu
2014 J jnl
Pairwise constrained concept factorization for data representation.
Neural Networks
Yangcheng He, Hongtao Lu, Lei Huang, Saining Xie
2014 J jnl
Semi-supervised non-negative matrix factorization for image clustering with graph Laplacian.
Multim. Tools Appl.
Yangcheng He, Hongtao Lu, Saining Xie
2013 A conf
Perception Preserving Projections.
BMVC
Saining Xie, Jiashi Feng, Shuicheng Yan, Hongtao Lu
2012 B conf
Multi-task co-clustering via nonnegative matrix factorization.
ICPR
Saining Xie, Hongtao Lu, Yangcheng He