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Stanford Vision and Learning Lab
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Stanford Vision and Learning Lab
@StanfordSVL
SVL is led by @drfeifei @silviocinguetta @jcniebles @jiajunwu_cs and works on machine learning, computer vision, robotics and language
Stanford, CA
svl.stanford.edu
Joined September 2014
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  • user avatar
    Stanford Vision and Learning Lab
    @StanfordSVL
    Oct 14, 2017
    Street View Image, Pose & 3D Cities Dataset. 25 million images, 3D models of 8 cities, camera pose & correspondences 
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    GitHub - amir32002/3D_Street_View: The repo of Street View Image, Pose, and 3D Cities Dataset. Used...
    From github.com
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    Stanford Vision and Learning Lab
    @StanfordSVL
    Apr 26, 2018
    #TransferLearning is crucial for general #AI, and understanding what transfers to what is crucial for #TransferLearning. Taskonomy (#CVPR18 oral) is one step towards understanding transferability among #perception tasks. Live demo and more: taskonomy.stanford.edu
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    Stanford Vision and Learning Lab
    @StanfordSVL
    Feb 26, 2020
    Introducing the RoboTurk Real Robot Dataset - one of the largest, richest, and most diverse robot manipulation datasets ever collected using human creativity and dexterity! 111 hours 54 non-expert demonstrators 2144 demonstrations Download: roboturk.stanford.edu/realrobotdatas… [1/2]
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    Stanford Vision and Learning Lab
    @StanfordSVL
    Nov 8, 2023
    Stanford Vision and Learning Lab is presenting 7 papers at #CORL2023, including 3 oral presentations, and 3 award nominations, see below:
    47K
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    Stanford Vision and Learning Lab
    @StanfordSVL
    Sep 5, 2019
    [1/2] Our lab has 3 papers accepted to NeurIPS 2019: 1. HYPE: Human Eye Perceptual Evaluation of Generative Models. Zhou and Gordon et al. (Oral) 2. SOCIAL-BIGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks. Kosaraju et al.
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    Stanford Vision and Learning Lab
    @StanfordSVL
    Aug 1, 2019
    Stanford Vision and Learning Lab: Performing Research at the Forefront of Computer Vision, Machine Learning, and Robotics - HostingAdvice.com ⁦@drfeifei⁩ ⁦@silviocinguetta⁩ ⁦@jcniebles⁩ hostingadvice.com/blog/a-look-at…
    hostingadvice.com
    HostingAdvice | 2026 News, Guides & Reviews by Web Hosting Experts
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    Stanford Vision and Learning Lab
    @StanfordSVL
    Feb 25, 2018
    Stanford Vision and Learning Group website is online now! @drfeifei @silviocinguetta @jcniebles svl.stanford.edu
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    Stanford Vision and Learning Lab
    @StanfordSVL
    Feb 27, 2020
    We are hosting one of the 3 challenges of embodied-ai.org at CVPR20. Train your navigating agent in our simulator Gibson (svl.stanford.edu/gibson2) and we will test it in the real world! The best solutions will showcase live during CVPR. More info: svl.stanford.edu/gibson2/challe…
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    Stanford Vision and Learning Lab
    @StanfordSVL
    Sep 13, 2019
    Learning from hints (not demonstrations): A new paper on an important direction of RL for control where expert intuition can be used to guide learning without the need to provide optimal or even complete solutions.
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    Animesh Garg
    @animesh_garg
    Sep 13, 2019
    Our new work at #Corl2019 will present RL with Ensemble of Suboptimal Teachers -aka- specify as much as you can easily, let learning handle the rest. Blog: buff.ly/2O99xWr Paper: buff.ly/2NY9KeU w\ @andrey_kurenkov, A. Mandlekar, @RobobertoMM, @silviocinguetta
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    Stanford Vision and Learning Lab
    @StanfordSVL
    May 20, 2019
    Work from our group in Robot Learning for Manipulation is finalist for best paper award at @icra2019 and is being presented tomorrow in Montreal. @drfeifei @silviocinguetta @animesh_garg @yukez @michellearning @leto__jean
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    Animesh Garg
    @animesh_garg
    May 20, 2019
    Excited to be at #ICRA2019 Best Paper Award talk Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks Paper: arxiv.org/abs/1810.10191 Video: youtu.be/TjwDJ_R2204
  • user avatar
    Stanford Vision and Learning Lab
    @StanfordSVL
    Feb 26, 2020
    Replying to @StanfordSVL
    Wiki: github.com/StanfordVL/rob… Paper and more details: arxiv.org/abs/1911.04052 [2/2]
  • user avatar
    Stanford Vision and Learning Lab
    @StanfordSVL
    Aug 7, 2019
    We are happy to announce our ICCV19 Workshop on Visual Perception for Navigation in Human Environments: The JackRabbot Social Robotics Dataset and Benchmark. Submission deadline August 20. jrdb.stanford.edu/workshops/jrdb… For more info, contact @SHamidRezatofig and Roberto Martin-Martin
  • user avatar
    Stanford Vision and Learning Lab
    @StanfordSVL
    Apr 20, 2024
    Are you a passionate and experienced researcher in robotics with knowledge in computer vision? Do you want to build impactful robotic systems? Stanford Vision and Learning lab (SVL) is searching for a Postdoctoral Fellow with your skills.
    4.3K
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    Stanford Vision and Learning Lab
    @StanfordSVL
    Nov 17, 2019
    Our focus on robot learning from single example of a task through a video has resulted in a line of work that combines symbolic systems with neural networks
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    Animesh Garg
    @animesh_garg
    Nov 17, 2019
    Replying to @animesh_garg
    This continues our efforts in neuro-symbolic planning for one-shot imitation in multi-step reasoning domains. 1. Neural Task Programs: arxiv.org/abs/1710.01813 2. Neural Task Graphs: arxiv.org/abs/1807.03480 3. Continuous Relaxation of Symbolic Planner: arxiv.org/abs/1908.06769
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