7 days 4:58
A law of robustness and the importance of overparametrization in deep learning
Microsoft Research Senior Principal Researcher Sebastien Bubeck answers several questions about the NeurIPS 2021 paper, “A Universal Law of Robustness via Isoperimetry.” He discusses what
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9 days 58:07
Research for Industries (RFI) Lecture Series: Steven K. Frey
Physics-based groundwater – surface water modeling at continental scale Aquanty, which is a research spin off from the University of Waterloo, is at the forefront of developing state-of-the-art
14 days 1:02:25
Research for Industries (RFI) Lecture Series: Matthew Realff & Christopher Jones
Out of thin air: Direct Air Capture of carbon dioxide to walk our carbon footprint backwards It is likely that to avert temperature increases greater than 1.5C society will need negative emission
15 days 1:02:41
On Race and Technoculture
Recorded on November 17, 2021 Speaker: Dr. André Brock, Associate Professor of Media Studies at Georgia Institute of Technology Where does Blackness manifest in Western technoculture?
30 days 1:00:10
37 days 10:05
FastNeRF: High-Fidelity Neural Rendering at 200FPS [Extended]
Watch the condensed version: youtu.be/JS5H-Usiphg Recent work on Neural Radiance Fields (NeRF) showed how neural networks can be used to encode complex 3D environments that can be rendered
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40 days 3:00
Full-Body Motion from a Single Head-Mounted Device: Generating SMPL Poses from Partial Observations
The increased availability and maturity of head-mounted and wearable devices opens up opportunities for remote communication and collaboration.
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40 days 10:00
Litmus Predictor
LITMUS: Linguistically Inspired Training and testing of MUltilingual Systems LITMUS Predictor provides support for simulating performance in ~100 languages given training observations of the
44 days 22:53
Interview and Q&A with Jenny Sabin, Creator of the Ada Installation in Microsoft Building 99
On June 9 at the Spring 2021 Machine Learning, AI & Data Science Conference, we featured an interview and Q&A with Jenny Sabin, the Cornell-based artist who created the Ada installation currently
49 days 1:41
Microsoft Research 2021 Global PhD Fellowship Recipients
Meet some of 2021 global PhD Fellowship recipients from around the world. See more at microsoft.com/en-us/research/video/microsoft-research-2021-global-phd-fellowship-recipients
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50 days 4:51
Precision agriculture uses computer science to make farms more efficient and reduce climate change
On an 8,000-acre family farm in Eastern Washington, Microsoft Research helps deploy precision agriculture, putting AI and powerful data analysis tools in the hands of an eighth-generation farmer
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50 days 4:16
Working at Microsoft Research Cambridge
Here at Microsoft Research in Cambridge, we truly aspire to transform the world through deep research. Watch the video to find out more about our culture, ambition and research themes.
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55 days 27:34
Accelerating AI Innovation by Optimizing Infrastructure. With Dr. Muthian Sivathanu
Episode 010 | September 28, 2021 Artificial intelligence, Machine Learning, Deep Learning, and Deep Neural Networks are today critical to the success of many industries.
59 days 2:36
HapticBots: Distributed Encountered-type Haptics for VR with Multiple Shape-changing Mobile Robots
HapticBots introduces a novel encountered-type haptic approach for Virtual Reality (VR) based on multiple tabletop-size shape-changing robots.
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59 days 3:02
X-Rings: A Hand-mounted 360 Degree Shape Display for Grasping in Virtual Reality [UIST 2021]
X-Rings is a novel hand-mounted 360-degree shape display for Virtual Reality that renders objects in 3D and responds to user-applied touch and grasping force.
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62 days 28:35
Convergence between CV and NLP Modeling and Learning
Microsoft Sponsor Session at ICCV 2021 featuring speakers: Han Hu, Principal Researcher, Microsoft Research Asia Li Dong, Senior Researcher, Microsoft Research Asia
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64 days 1:04:01
Safe Real-World Autonomy in Uncertain and Unstructured Environments
In this talk I will present my current and future work towards enabling safe real-world autonomy.
64 days 1:02:31
Women of Color and the Digital Labor of Repair
Recorded on September 22, 2021 Speaker: Dr.
68 days 2:36
Fake It Till You Make It: Face Analysis In The Wild Using Synthetic Data Alone
We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone.
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76 days 57:53
ALIGN: Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Pre-trained representations are becoming crucial for many NLP and perception tasks.
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76 days 1:09:37
Zero-Shot Detection via Vision and Language Knowledge Distillation
In this talk, I will introduce our recent work about ViLD, a training method via Vision and Language knowledge Distillation.
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82 days 1:27:37
Three Explorations on Pre-Training: an Analysis, an Approach, and an Architecture
In this talk, I am going to cover three of our recent explorations on pre-training.
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83 days 1:05:26
Visual Recognition beyond Appearances, and its Robotic Applications
The goal of Computer Vision, as coined by Marr, is to develop algorithms to answer What are Where at When from visual appearance.
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83 days 1:43:32
A Truly Unbiased Model
Any dataset has bias, as the data collection will be intervened by human bias and affected by the nature’s biased law.
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83 days 59:03
Visual question answering & reasoning over vision & language: Beyond limits of statistical learning?
Advances in deep learning keep producing impressive results at the junction of computer vision and natural language processing.
84 days 1:13:27
MDETR: Modulated Detection for End-to-End Multi-Modal Understanding
Multi-modal reasoning systems rely on a pre-trained object detector to extract regions of interest from the image.
84 days 1:00:42
Learning Commonsense Understanding through Language and Vision
As humans, we parse language and visual scenes -- often together -- into a rich understanding of what is going on in the world.
84 days 1:07:38
Tightly Connecting Vision and Language
Remarkable progress has been made at the intersection of vision and language.
84 days 1:23:19
Learning from Unlabeled Videos for Recognition, Prediction, and Control
Deep learning has brought tremendous progress to visual recognition, thanks to big labeled data and fast compute.
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