Unsupervised Depth Perception

FromData Skeptic

Start listening View podcast show

Unsupervised Depth Perception

FromData Skeptic

ratings:

Length:

24 minutes

Released:

May 26, 2017

Format:

Podcast episode

Description

This episode is an interview with Tinghui Zhou. In the recent paper "Unsupervised Learning of Depth and Ego-motion from Video", Tinghui and collaborators propose a deep learning architecture which is able to learn depth and pose information from unlabeled videos. We discuss details of this project and its applications.

Released:

May 26, 2017

Format:

Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.

Skip carousel

[MINI] Value of Information: A discussion about getting ready in the morning, negotiating a used car purchase, and selecting the best AirBnB place to stay at help frame a conversation about the decision theoretic principal known as the Value of Information equation. by Data Skeptic
14 min listen
Introduction: The Data Skeptic Podcast features conversations with topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the... by Data Skeptic
4 min listen
[MINI] Cross Validation: This miniepisode discusses the technique called Cross Validation - a process by which one randomly divides up a dataset into numerous small partitions. Next, (typically) one is held out, and the rest are used to train some model. The hold out set can... by Data Skeptic
1 min listen
The Right (big data) Tool for the Job with Jay Shankar: In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar. The episode explores approaches and design philosophy to solving real world big data business problems, and the exploration of the wide... by Data Skeptic
50 min listen
[MINI] Ant Colony Optimization: In this week's mini episode, Linhda and Kyle discuss Ant Colony Optimization - a numerical / stochastic optimization technique which models its search after the process ants employ in using random walks to find a goal (food) and then leaving a... by Data Skeptic
15 min listen
[MINI] p-values: In this mini, we discuss p-values and their use in hypothesis testing, in the context of an hypothetical experiment on plant flowering, and end with a reference to the Particle Fever documentary and how statistical significance played a role. by Data Skeptic
17 min listen
[MINI] Monkeys on Typewriters: What is randomness? How can we determine if some results are randomly generated or not? Why are random numbers important to us in our everyday life? These topics and more are discussed in this mini-episode on random numbers. Many readers will be... by Data Skeptic
3 min listen
[MINI] Noise!!: Our topic for this week is "noise" as in signal vs. noise. This is not a signal processing discussions, but rather a brief introduction to how the work noise is used to describe how much information in a dataset is useless (as opposed to... by Data Skeptic
16 min listen
[MINI] Bayesian Updating: In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most likely hypothesis might be true given one's older / prior belief and all new evidence. by Data Skeptic
11 min listen
Guerilla Skepticism on Wikipedia with Susan Gerbic: Our guest this week is Susan Gerbic. Susan is a skeptical activist involved in many activities, the one we focus on most in this episode is Guerrilla Skepticism on Wikipedia, an organization working to improve the content and citations of... by Data Skeptic
70 min listen
Streetlight Outage and Crime Rate Analysis with Zach Seeskin: This episode features a discussion with statistics PhD student Zach Seeskin about a project he was involved in as part of the Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship. The project involved exploring the... by Data Skeptic
33 min listen
Genetically Engineered Food and Trends in Herbicide Usage: The Credible Hulk joins me in this episode to discuss a recent blog post he wrote about glyphosate and the data about how it's introduction changed the historical usage trends of other herbicides. Links to all the sources and... by Data Skeptic
35 min listen
Data in Healthcare IT with Shahid Shah: Our guest this week is Shahid Shah. Shahid is CEO at Netspective, and writes three blogs: Health Care Guy, Shahid Shah, and HitSphere - the Healthcare IT Supersite. During the program, Kyle recommended a talk from the 2014 MIT Sloan CIO Symposium... by Data Skeptic
57 min listen
[MINI] type i / type ii errors: In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii errors (a.k.a. false positives and false negatives). by Data Skeptic
11 min listen
[MINI] Partially Observable State Spaces: When dealing with dynamic systems that are potentially undergoing constant change, its helpful to describe what "state" they are in. In many applications the manner in which the state changes from one to another is not completely predictable,... by Data Skeptic
13 min listen
[MINI] Experimental Design: This episode loosely explores the topic of Experimental Design including hypothesis testing, the importance of statistical tests, and an everyday and business example. by Data Skeptic
16 min listen
Personalized Medicine with Niki Athanasiadou: In the second full length episode of the podcast, we discuss the current state of personalized medicine and the advancements in genetics that have made it possible. by Data Skeptic
57 min listen
[MINI] The T-Test: The t-test is this week's mini-episode topic. The t-test is a statistical testing procedure used to determine if the mean of two datasets differs by a statistically significant amount. We discuss how a wine manufacturer might apply a t-test to... by Data Skeptic
17 min listen
Contest Announcement: The Data Skeptic Podcast is launching a contest- not one of chance, but one of skill. Listeners are encouraged to put their data science skills to good use, or if all else fails, guess! The contest works as follows. Below is some data about the... by Data Skeptic
12 min listen
Data Science at ZestFinance with Marick Sinay: Marick Sinay from ZestFianance is our guest this weel. This episode explores how data science techniques are applied in the financial world, specifically in assessing credit worthiness. by Data Skeptic
31 min listen
[MINI] The Girlfriend Equation: Economist Peter Backus put forward "The Girlfriend Equation" while working on his PhD - a probabilistic model attempting to estimate the likelihood of him finding a girlfriend. In this mini episode we explore the soundness of his model and also share... by Data Skeptic
16 min listen
[MINI] Belief in Santa: In this quick holiday episode, we touch on how one would approach modeling the statistical distribution over the probability of belief in Santa Claus given age. by Data Skeptic
10 min listen
[MINI] Data Provenance: This episode introduces a high level discussion on the topic of Data Provenance, with more MINI episodes to follow to get into specific topics. Thanks to listener Sara L who wrote in to point out the Data Skeptic Podcast has focused alot... by Data Skeptic
11 min listen
Advertising Attribution with Nathan Janos: A conversation with Convertro's Nathan Janos about methodologies used to help advertisers understand the affect each of their marketing efforts (print, SEM, display, skywriting, etc.) contributes to their overall return. by Data Skeptic
76 min listen
Jackson Pollock Authentication Analysis with Kate Jones-Smith: Our guest this week is Hamilton physics professor Kate Jones-Smith who joins us to discuss the evidence for the claim that drip paintings of Jackson Pollock contain fractal patterns. This hypothesis originates in a paper by Taylor, Micolich,... by Data Skeptic
50 min listen
$Jackson Pollock Authentication Analysis with Kate Jones-Smith: Our guest this week is Hamilton physics professor Kate Jones-Smith who joins us to discuss the evidence for the claim that drip paintings of Jackson Pollock contain fractal patterns. This hypothesis originates in a paper by Taylor, Micolich,...$
[MINI] Selection Bias: A discussion about conducting US presidential election polls helps frame a converation about selection bias. by Data Skeptic
15 min listen
Data Myths with Karl Mamer: Black out baby boom | Subliminal messages | Beer and Diapers by Data Skeptic
48 min listen
[MINI] k-means clustering: The k-means clustering algorithm is an algorithm that computes a deterministic label for a given "k" number of clusters from an n-dimensional datset. This mini-episode explores how Yoshi, our lilac crowned amazon's biological processes might be... by Data Skeptic
14 min listen
[MINI] Confidence Intervals: Commute times and BBQ invites help frame a discussion about the statistical concept of confidence intervals. by Data Skeptic
12 min listen
[MINI] Is the Internet Secure?: This episode explores the basis of why we can trust encryption. Suprisingly, a discussion of looking up a word in the dictionary (binary search) and efficiently going wine tasting (the travelling salesman problem) help introduce computational... by Data Skeptic
26 min listen

More Episodes from Data Skeptic

Skip carousel

Behavioral Genetics: It’s almost impossible to think about animal behavior without thinking of dogs! Our canine friends are a subspecies of wolf that has been co-evolving with us for tens of thousands of years. The transition from wolf to pet has required intense... by Data Skeptic
47 min listen
Signal in the Noise: In this episode, we are joined by Barbara Webb and Anna Hadjitofi. Barbara runs the Insect Robotics lab at the University of Edinburgh, and Anna is a PhD student at the School of Informatics at the university. She is interested in studying and... by Data Skeptic
42 min listen
Pose Tracking: Many researchers and students have painstakingly labeled precise details about the body positions of the creatures they study. Can AI be used for this labeling? Of course it can! Today's episode discusses Social LEAP Estimates Animal Poses (SLEAP), a... by Data Skeptic
51 min listen
Modeling Group Behavior: Our guest in this episode is Sebastien Motsch, an assistant professor at Arizona State University, working in the School of Mathematical and Statistical Science. He works on modeling self-organized biological systems to understand how complex patterns... by Data Skeptic
41 min listen
Advances in Data Loggers: Our guest in this episode is Ryan Hanscom. Ryan is a Ph.D. candidate in a joint doctoral evolution program at San Diego State University and the University of California, Riverside. He is a terrestrial ecologist with a focus on herpetology and... by Data Skeptic
36 min listen
What You Know About Intelligence is Wrong (fixed): We are joined by Hank Schlinger, a professor of psychology at California State University, Los Angeles. His research revolves around theoretical issues in psychology and behavioral analysis. Hank establishes that words have references and... by Data Skeptic
42 min listen
Animal Decision Making: On today’s episode, we are joined by Aimee Dunlap. Aimee is an assistant professor at the University of Missouri–St. Louis and the interim director at the Whitney R. Harris World Ecology Center. Aimee discussed how animals perceive information and... by Data Skeptic
37 min listen
Octopus Cognition: We are joined by Tamar Gutnick, a visiting professor at the University of Naples Federico II, Napoli, Italy. She studies the octopus nervous system and their behavior, focusing on cognition and learning behaviors. Tamar gave a background to the kind... by Data Skeptic
38 min listen
Optimal Foraging: Claire Hemmingway, an assistant professor in the Department of Psychology and Ecology and Evolutionary Biology at the University of Tennessee in Knoxville, is our guest today. Her research is on decision-making in animal cognition, focusing on... by Data Skeptic
38 min listen
Memory in Chess: On today’s show, we are joined by our co-host, Becky Hansis-O’Neil. Becky is a Ph.D. student at the University of Missouri, St Louis, where she studies bumblebees and tarantulas to understand their learning and cognitive work. She joins us... by Data Skeptic
49 min listen
OpenWorm: On this episode, we are joined by Stephen Larson, the CEO of MetaCell and an affiliate of the OpenWorm foundation. Stephen discussed what the Openworm project is about. They hope to use a digital C. elegans nematode (C. elegans for... by Data Skeptic
34 min listen
What the Antlion Knows: Our guest is Becky Hansis-O’Neil, a Ph.D. student at the University of Missouri, St Louis, and our co-host for the new "Animal Intelligence" season. Becky shares her background on how she got into the field of behavioral intelligence and biology. by Data Skeptic
42 min listen
AI Roundtable: Kyle is joined by friends and former guests Pramit Choudhary and Frank Bell to have an open discussion of the impacts LLMs and machine learning have had in the past year on industry, and where things may go in the current year. by Data Skeptic
51 min listen
Uncontrollable AI Risks: We are joined by Darren McKee, a Policy Advisor and the host of Reality Check — a critical thinking podcast. Darren gave a background about himself and how he got into the AI space. Darren shared his thoughts on AGI's achievements in the coming... by Data Skeptic
39 min listen
I LLM and You Can Too: It took a massive financial investment for the first large language models (LLMs) to be created. Did their corporate backers lock these tools away for all but the richest? No. They provided comodity priced API options for using... by Data Skeptic
24 min listen
Q&A with Kyle: We celebrate episode 1000000000 with some Q&A from host Kyle Polich. We boil this episode down to four key questions: 1) How do you find guests 2) What is Data Skeptic all about? 3) What is Kyle all about? 4) What are Kyle's thoughts on AGI?... by Data Skeptic
40 min listen
LLMs for Data Analysis: In this episode, we are joined by Amir Netz, a Technical Fellow at Microsoft and the CTO of Microsoft Fabric. He discusses how companies can use Microsoft's latest tools for business intelligence. Amir started by discussing how business intelligence... by Data Skeptic
29 min listen
AI Platforms: Our guest today is Eric Boyd, the Corporate Vice President of AI at Microsoft. Eric joins us to share how organizations can leverage AI for faster development. Eric shared the benefits of using natural language to build products. He discussed the... by Data Skeptic
34 min listen
Deploying LLMs: We are excited to be joined by Aaron Reich and Priyanka Shah. Aaron is the CTO at Avanade, while Priyanka leads their AI/IoT offering for the SEA Region. Priyanka is also the MVP for Microsoft AI. They join us to discuss how LLMs are deployed in... by Data Skeptic
35 min listen
A Survey Assessing Github Copilot: In this episode, we are joined by Jenny Liang, a PhD student at Carnegie Mellon University, where she studies the usability of code generation tools. She discusses her recent survey on the usability of AI programming assistants. Jenny discussed the... by Data Skeptic
26 min listen
Program Aided Language Models: We are joined by Aman Madaan and Shuyan Zhou. They are both PhD students at the Language Technology Institute at Carnegie Mellon University. They join us to discuss their latest published paper, PAL: Program-aided Language Models. Aman and Shuyan... by Data Skeptic
32 min listen
Which Programming Language is ChatGPT Best At: In this episode, we have Alessio Buscemi, a software engineer at Lifeware SA. Alessio was a post-doctoral researcher at the University of Luxembourg. He joins us to discuss his paper, A Comparative Study of Code Generation using ChatGPT 3.5 across 10... by Data Skeptic
40 min listen
GraphText: On the show today, we are joined by Jianan Zhao, a Computer Science student at Mila and the University of Montreal. His research focus is on graph databases and natural language processing. He joins us to discuss how to use graphs with LLMs... by Data Skeptic
31 min listen
arXiv Publication Patterns: Today, we are joined by Rajiv Movva, a PhD student in Computer Science at Cornell Tech University. His research interest lies in the intersection of responsible AI and computational social science. He joins to discuss the findings of this work that... by Data Skeptic
28 min listen
Do LLMs Make Ethical Choices: We are excited to be joined by Josh Albrecht, the CTO of Imbue. Imbue is a research company whose mission is to create AI agents that are more robust, safer, and easier to use. He joins us to share findings of his work; Despite "super-human"... by Data Skeptic
29 min listen
Emergent Deception in LLMs: On today’s show, we are joined by Thilo Hagendorff, a Research Group Leader of Ethics of Generative AI at the University of Stuttgart. He joins us to discuss his research, . Thilo discussed how machine psychology is useful in machine learning... by Data Skeptic
27 min listen
Agents with Theory of Mind Play Hanabi: Nieves Montes, a Ph.D. student at the Artificial Intelligence Research Institute in Barcelona, Spain, joins us. Her PhD research revolves around value-based reasoning in relation to norms. She shares her latest study, Combining theory of mind and... by Data Skeptic
38 min listen
LLMs for Evil: We are joined by Maximilian Mozes, a PhD student at the University College, London. His PhD research focuses on Natural Language Processing (NLP), particularly the intersection of adversarial machine learning and NLP. He joins us to discuss his latest... by Data Skeptic
26 min listen
The Defeat of the Winograd Schema Challenge: Our guest today is Vid Kocijan, a Machine Learning Engineer at Kumo AI. Vid has a Ph.D. in Computer Science at the University of Oxford. His research focused on common sense reasoning, pre-training in LLMs, pretraining in knowledge-based completion,... by Data Skeptic
31 min listen

Related podcast episodes

Skip carousel

32. Conducting Research with Employees (feat. Angie Li, UXMC, Senior Manager of Product Design at Asurion) by NN/g UX Podcast
43 min listen
Helping Spiking Neural Networks Can Learn to Learn by EE Times Current
45 min listen
It's All In The (Deepfake) Experience with Siwei Lyu: This week we catch up with Dr. Siwei Lyu, a SUNY Empire Innovation Professor and founding Co-Director of Center for Information Integrity (CII) at the University at Buffalo, State University of New York. Siwei breaks down the deepfake experience, both... by To The Point - Cybersecurity
43 min listen
Bodo Hoenen on Generative AI for Curriculum: We’ve recently released a new publication that synthesizes years of research on AI and its impact on teaching and learning. You can find it at On this episode of the Getting Smart Podcast, Nate McClennen is joined by co-founder and CEO of Nolej, a... by Getting Smart Podcast
34 min listen
Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane - TWiML Talk #235: Today we conclude our Black in AI series with Sicelukwanda Zwane, a masters student at the University of Witwatersrand and graduate research assistant at the CSIR. At the workshop, he presented on “Safer Exploration in Deep Reinforcement Learning... by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
54 min listen
Easily Fooling Deep Neural Networks: My guest this week is Anh Nguyen, a PhD student at the University of Wyoming working in the Evolving AI lab. The episode discusses the paper Deep Neural Networks are Easily Fooled [pdf] by Anh Nguyen, Jason Yosinski, and Jeff Clune. It... by Data Skeptic
28 min listen
The Rise of Neural Networks and Deep Learning in Our Everyday Lives: A Conversation with Dr. Yoshua Bengio by The AI in Business Podcast
27 min listen
9. You Are Not the User: How the the False Consensus Effect Can Lead Good Design Astray (feat. Alita Joyce, UX Specialist at NN/g) by NN/g UX Podcast
29 min listen
The Impact of AI and Human Enhancement on Ikigai With Dr. Soenke Ziesche by The Ikigai Podcast
59 min listen
Deep Neural Nets for Visual Recognition with Matt Zeiler - TWiML Talk #22: Today we bring you our final interview from backs… by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
22 min listen
E39: Seeing is Believing with MIT’s Ziming Lu: Ziming Lu is a Physics PhD student at MIT and IAIFI, advised by Prof. Max Tegmark. Ziming’s research is at the intersection of AI and physics. by "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
115 min listen
Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5: My guest this time is Joshua Bloom. Josh is profe… by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
88 min listen
Video as a Universal Interface for AI Reasoning with Sherry Yang - #676 by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
50 min listen
LSTMs, Plus a Deep Learning History Lesson with Jürgen Schmidhuber - TWiML Talk #44: This week we have a very special interview to sha… by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
63 min listen
Reinforcement Learning Deep Dive with Pieter Abbeel - TWiML Talk #28: This week our guest is Pieter Abbeel, Assistant P… by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
52 min listen
#53 | Dr. Elizabeth Churchill | Driving UX insights for digital tools: With Elizabeth we chat about AI & User Research, the importance of cognitive science and her experience leading UX Research for Google Material Design, Flutter and the new OS called Fuchsia. by Designdrives
20 min listen
Deep Robotic Learning with Sergey Levine - TWiML Talk #37: This week we continue our Industrial AI series wi… by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
46 min listen
Geometry-Aware Neural Rendering with Josh Tobin - #360: Today we’re joined by Josh Tobin, Co-Organizer of the machine learning training program Full Stack Deep Learning, and more recently, the founder of a stealth startup. We had the pleasure of sitting down with Josh prior to his presentation of his... by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
27 min listen
38. User Interviews (feat. Steve Portigal, Research Consultant and Author) by NN/g UX Podcast
46 min listen
Biological Particle Identification and Tracking with Jay Newby - TWiML Talk #179: In today’s episode we’re joined by Jay Newby, Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. Jay joins us to discuss his work applying deep learning to biology, including his paper... by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
46 min listen
Studying Machine Intelligence with Been Kim - #571 by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
53 min listen
Scalable Distributed Deep Learning with Hillery Hunter - TWiML Talk #77: This week on the podcast we’re running a series o… by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
38 min listen
Deep Fakes: Digital videos can be described as sequences of still images and associated audio. Audio is easy to fake. What about video? A video can easily be broken down into a sequence of still images replayed rapidly in sequence. In this context, videos are... by Data Skeptic
30 min listen
EP91 “Hacking Google”, Op Aurora and Insider Threat at Google: Guest: , Security Engineering Director, Detection and Response @ Google Topics: You recently were featured in “, can you share a bit about this effort and what role you played? How long have you been at Google? What were you doing before,... by Cloud Security Podcast by Google
26 min listen
Yann LeCun on his Start in Research and Self-Supervised Learning by The Gradient: Perspectives on AI
56 min listen
The Pragmatic Approach To Skills - Bonus Episode: This podcast was just published on YouTube, so you can watch the video. Companies all over the world are buying and implementing skills technology throughout HR. But how do we know what to buy and make sure it’s all going to add value? In this video I unpack a different approach: the pragmatic approach to skills, and how this approach will unlock you from vendor paralysis and make sure your investments really drive tremendous value. Much more to come on this topic, stay tuned for our upcoming research study on Enterprise Talent Intelligence. (Bonus episode authored between my normal Friday afternoon publishing.) by The Josh Bersin Company
22 min listen
Provably safe AGI, with Steve Omohundro by London Futurists
43 min listen
10. On Delight, Emotion, and UX - Flipping the Script with UX Specialists Therese Fessenden & Rachel Krause by NN/g UX Podcast
29 min listen
The Earth Dies Dreaming: Andy and Dave discuss the latest in AI news, including a letter from the National Transportation Safety Board that asks the National Highway Traffic Safety Administration to regulate more strictly autonomous vehicles and driver assistance... by AI with AI: Artificial Intelligence with Andy Ilachinski
37 min listen
V-JEPA, AI Reasoning from a Non-Generative Architecture with Mido Assran - #677 by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
48 min listen

Discover this podcast and so much more

Unsupervised Depth Perception

Unsupervised Depth Perception

Description

Titles in the series (100)

More Episodes from Data Skeptic

Related podcast episodes