14.06.20 1:01 Learning Texture Transformer Network for Image Super Resolution
Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020
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271.7
14.06.20 5:00 RoutedFusion: Learning Real-time Depth Map Fusion
Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020
1 926
30.2
14.06.20 1:01 Violin: A Large-Scale Dataset for Video-and-Language Inference
Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020
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14.06.20 4:55 Local Context Normalization: Revisiting Local Normalization
Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020
385
21.1
14.06.20 0:59 Multi Granularity Reference Aided Attentive Feature Aggregation for Video based Person Re identifica
Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020
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14.06.20 0:55 Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020
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24.7
14.06.20 4:56 Women in CV
Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020
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11.4
14.06.20 4:58 Hyper-STAR: Task-Aware Hyperparameters for Deep Networks
Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020
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14.06.20 1:00 Memory Enhanced Global Local Aggregation for Video Object Detection
Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020
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67.3
14.06.20 1:02 MMTM: Multimodal Transfer Module for CNN Fusion
Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020
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10.06.20 1:03:38 Supervised Deep Hashing for Efficient Audio Retrieval
Audio Event Classification (AEC) is defined as the inherent ability of machines to assign a semantic label to a given audio segment.
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10.06.20 1:01:51 Transparency and Intelligibility Throughout the Machine Learning Life Cycle
People play a central role in the machine learning life cycle.
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10.06.20 1:11:16 Machine Learning and Fairness Webinar
Originally a discipline limited to academic circles, machine learning is now increasingly mainstream, being used in more visible and impactful ways.
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10.06.20 1:29:01 Consumer Brain-Computer Interfaces: From Science Fiction to Reality
Current communication technologies often suffer from being impersonal and non-contextual.
4 153
9.3
10.06.20 46:29 Highly Conductive Flexible Sensor Integrated With Personal Devices For Practical Bio-Signal Measure
Highly Conductive and Flexible Sensor Integrated With Personal Devices For Practical Bio-Signal Measurement and Applications Electrophysiological (EP) signal such as electroencephalogram (EEG) and
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13.3
08.06.20 9:07 Microsoft Build 2020: Kevin Scott keynote with Lila Tretikov
AI at the Edge: Edge vision of distributed, reality-aware apps that run across Microsoft and integrate Smart People/Places/Things.
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03.06.20 46:57 Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen | Podcast
Episode 116 | May 27, 2020 Dr.
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03.06.20 38:41 2 674
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01.06.20 42:08 What ‘bhasha’ do you want to talk in? With Kalika Bali and Dr. Monojit Choudhury | Podcast
Episode 03 | June 02, 2020 Many of us who speak multiple languages switch seamlessly between them in conversations and even mix multiple languages in one sentence.
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12.3
26.05.20 1:07:04 Explaining Decisions from Vision Models and Correcting them via Human Feedback
Deep networks have enabled unprecedented breakthroughs in a variety of computer vision tasks.
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12.9
26.05.20 1:03:02 Auditing Outsourced Services
How can users of a cloud service verify that the service truly performs as promised?
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18.9
26.05.20 1:09:24 MSR Distinguished Lecture Series: First-person Perception and Interaction
Computer vision has seen major success in learning to recognize objects from massive “disembodied” Web photo collections labeled by human annotators.
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8.7
26.05.20 1:25 Large-scale live video analytics over 5G multi-hop camera networks
Researchers at Microsoft Research and Princeton University have collaboratively built the world’s first 5G- based multi-hop camera network.
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17.6
26.05.20 18:29 Kristin Lauter's TED Talk on Private AI at Congreso Futuro during Panel 11 / SOLVE
Recent leaps in the fields of computing and artificial intelligence offer us until recently unimaginable solutions in sectors that determine our well-being, such as health, safety, or food.
458
30.2
19.05.20 5:01 How an AI agent can balance a pole using a simulation
In this demo learn how Microsoft’s Engineer Cyrill Glockner teaches an intelligent control simulation to balance a pole on a cart.
2 167
17.7
19.05.20 5:18 How to build Intelligent control systems using new tools from Microsoft and simulations by Mathworks
In this video, engineers can learn how to build autonomous systems even with no previous experience in AI.
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18.2
13.05.20 34:53 Diving into Deep InfoMax with Dr. Devon Hjelm | Podcast
Episode 115 | May 13, 2020 Dr.
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08.05.20 59:00 An Introduction to Graph Neural Networks: Models and Applications
MSR Cambridge, AI Residency Advanced Lecture Series An Introduction to Graph Neural Networks: Models and Applications Got it now: "Graph Neural Networks (GNN) are a general class of networks that
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18.3
07.05.20 51:29 MSR Cambridge Lecture Series: Photonic-chip-based soliton microcombs
Photonic-chip-based soliton microcombs, Prof Tobias Kippenberg Optical frequency combs provide equidistant markers in the IR, visible and UV and have become a pivotal tool for frequency metrology
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07.05.20 55:37 Multi-level Optimization Approaches to Computer Vision
On a broad level, computer graphics involves representing 3D information in 2D. Computer vision can be thought of as the inverse problem - inferring 3D information from a projected representation.
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