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Chuck Needham

Chuck Needham
MICROSOFT RESEARCH SUPPORT ENGINEER
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Projects

Kinect for Windows SDK beta

Coming later this spring, the Kinect for Windows SDK is a programming toolkit that will enable researchers and enthusiasts easy access to the capabilities offered by the Microsoft Kinect device connected to computers running Microsoft Windows 7.

 

 

Microsoft Tag

 Microsoft Tag connects real life with the digital world. Microsoft Tags are small, colorful codes that can be printed, stuck, or displayed just about anywhere. When you snap a Tag with the camera on your internet-enabled phone, additional information or experiences are automatically opened on your phone. There is no fumbling with URLs or texting short codes. Microsoft Tags can make product packages, posters, print-based ads, magazine articles, exhibit signage, billboards, storefronts, business card, or just about anything else, interactive.

Songsmith

Songsmith

Songsmith generates musical accompaniment to match a singer’s voice. Just choose a musical style, sing into your PC’s microphone, and Songsmith will create backing music for you. Then share your songs with your friends and family, post your songs online, or create your own music videos.

 

WorldWide Telescope

WorldWide Telescope

The WorldWide Telescope (WWT) is a rich visualization environment that functions as a virtual telescope, bringing together imagery from the best ground- and space-based telescopes in the world to enable seamless, guided explorations of the universe. 

 

 

 

People
Angel, Tambie
Angel, Tambie

Carbary, Tony
Carbary, Tony

Chandrasekaran, Nirupama
Chandrasekaran, Nirupama

Choudhury, Piali
Choudhury, Piali

Edelman Pelton, Alicia
Edelman Pelton, Alicia

Eversole, Adam
Eversole, Adam

Hart, Ted
Hart, Ted

Hughes, Richard
Hughes, Richard

Johnston, David
Johnston, David

Marriott, Ian
Marriott, Ian

Moeur, Robin
Moeur, Robin

Olynyk, Kirk
Olynyk, Kirk

von Veh, Curtis
von Veh, Curtis

Personal Web Site

Contact Info

Research News
  • Microsoft extends FPGA reach from Bing to deep learning
    Researchers believe success with field programmable gate arrays can be applied to accelerate deep learning approaches, including convolutional neural networks, deep belief neural networks, and recurrent neural networks.
  • All that RaaS: saving lives and transforming healthcare economics
    The introduction of cloud computing and machine learning to health care is helping researchers identify ways to reduce hospital readmissions for chronic conditions and provide corresponding actionable guidelines for patient-provider teams.
  • Microsoft says programmable chips will make AI software smarter
    As deep learning has led to recent breakthroughs in how accurately software can recognize images and speech, new progress on a practical way to power up deep learning software even more could lead to further significant advances in artificial intelligence
  • MobileFusion: Create 3D scans with your mobile phone
    MobileFusion is a research project that turns ordinary mobile phones into 3D scanners without any additional hardware. The resulting 3D scans are detailed enough for 3D printing or use in augmented-reality games.
  • Open source software from Microsoft for academics
    Academics are invited to visit Microsoft Research's new portal for open source projects to explore the available software, use it in their classes and research, and join in adding code to make the projects better.
Downloads
  • FingerPaint Dataset
    The FingerPaint Dataset contains video-sequences of several individuals performing hand gestures, as captured by a depth camera. The ground truth locations of the fingertips are included as an annotation for each frame of the video. This dataset was developed for the paper: T. Sharp et al. "Accurate, Robust, and Flexible Real-time Hand Tracking." In Proc. CHI, vol. 8. 2015. Users of the dataset are requested to cite this paper. Note: The hand poses shown in these images were chosen at random and are not intended to convey any meaning or cause any offence.
  • Microsoft Research WikiQA Corpus
    The WikiQA corpus is a new publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering. In order to reflect the true information need of general users, we used Bing query logs as the question source. Each question is linked to a Wikipedia page that potentially has the answer. Because the summary section of a Wikipedia page provides the basic and usually most important information about the topic, we used sentences in this section as the candidate answers. With the help of crowdsourcing, we included 3,047 questions and 29,258 sentences in the dataset, where 1,473 sentences were labeled as answer sentences to their corresponding questions. More detail of this corpus can be found in our EMNLP-2015 paper, "WikiQA: A Challenge Dataset for Open-Domain Question Answering" [Yang et al. 2015]. In addition, this download also includes the experimental results in the paper, an evaluation script for judging the "answer triggering" task, as well as the answer phrases labeled by the authors of the paper.
  • Microsoft Hyperlapse Pro
    Microsoft Hyperlapse is a new technology that creates smooth and stabilized time lapses from first-person videos. Want to show your friends what you saw on that 12-mile hike you took last weekend or let them experience how it felt to fly down the mountain on your recent ski trip? With Microsoft Hyperlapse, you can time lapse those experiences, distilling them into easily consumable, enjoyable experiences.
  • Sent2Vec
    Sent2vec maps a pair of short text strings (e.g., sentences or query-answer pairs) to a pair of feature vectors in a continuous, low-dimensional space where the semantic similarity between the text strings is computed as the cosine similarity between their vectors in that space. sent2vec performs the mapping using the Deep Structured Semantic Model (DSSM) proposed in (Huang et al. 2013), or the DSSM with convolutional-pooling structure (CDSSM) proposed in (Shen et al. 2014; Gao et al. 2014).
  • If-This-Then-That Programs and Descriptions Corpus
    This download primarily contains a list of URLs with paired natural language descriptions and code, as well as a separate of those URLs into training, development, and test data. In addition, code is included to help the downloader retrieve those URLs and their contents. This data is released in support of the ACL 2015 paper entitled “Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes” by Chris Quirk, Raymond Mooney, and Michel Galley.