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Past Events & Talks

Event 05-05-2022 "Warum sind Computer dumm?" Machine Learning und KI-Forscher Bernhard Schölkopf macht mit bei der digitalen Kinder-Uni der Hector Kinderakademien Wann? Donnerstag, den 05. Mai 2022 von 17:00 – 18:00 Uhr
Perceiving Systems Talk Jiashi Feng 02-05-2022 Learning to estimate 3D human poses without labeled data Estimating 3D human poses from images or videos is a fundamental task in computer vision. However, the limitation of training data with high-quality 3D pose annotations largely hinder its development and deployment in real applications. In this talk, I will introduce our recent works on training 3D pose estimation models without requiring 3D labeled data. Our first step is to present PoseAug, a new auto-augmentation framework that learns to augment the available training poses towards a greater diversity and thus improve generalization of the trained 2D-to-3D pose estimator. Specifically, P... Michael Black
Perceiving Systems Talk Lixin Yang 25-04-2022 Leverage Kinematic and Contact constraints for understanding hand-object interaction My works focus on inferring and understanding the human hand’s interaction with objects from visual inputs, which include several tasks like pose estimation, grasping pose generation, and interacting pose transfer. Unlike the single-body pose estimation task, understanding the Hand-object (multi-bodies) interactions in 3D spaces is more challenging, due to its high degree of articulations, the projection ambiguity, self or mutual occlusions, and the complicated physical constraints. Designing algorithms to tackle these challenges is my goal. We find that the mutual contact can provide rich ... Yuliang Xiu
Perceiving Systems Talk Chunlu Li 19-04-2022 Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision 3D face reconstruction under occlusions is highly challenging because of the large variability of the appearance and location of occluders. Currently, the most successful methods fit a 3D face model through inverse rendering and assume a given segmentation of the occluder to avoid fitting the occluder. However, the segmentation annotations are costly since training an occlusion segmentation model requires large amounts of annotated data. To overcome this, we introduce a model-based approach for 3D face reconstruction that is highly robust to occlusions but does not require any occlusion ann... Victoria Fernandez Abrevaya
Perceiving Systems Talk Angela Yao 12-04-2022 Mixing Synthetic and Real-World Captures for RGB Hand Pose Estimation How can we learn models for hand pose estimation without any (real-world) labels? This talk presents our recent efforts in tackling the challenging scenario of learning from labelled synthetic data and unlabelled real-world data. I will focus on two strategies that we find to be effective: (1) cross-modal consistency and alignment for representation learning and (2) pseudo-label corrections and refinement. The second part of the talk will introduce Assembly101, our newly recorded dataset that tackles 3D hand pose and action understanding over time. Assembly101 is a new procedural activit... Dimitris Tzionas
Physical Intelligence Talk David J. Cappelleri 11-04-2022 Microrobotics to Micro Aerial Vehicles: Robots Interacting with the Environment The Multi-Scale Robotics & Automation Lab (MSRAL) at Purdue University performs cutting-edge research on robotic and automation systems at various length scales: macro-scale (cm to m), meso-scale (~100's of um to a few mm's), and micro-scale (10's of um to 100's of um). All of the developed systems are designed to interact with the environment in unique ways. In this talk, I will discuss some recent MSRAL microrobotics projects on developing learned models for 2D micromanipulation tasks and different types of families of wireless mobile microrobots driven by external magnetic fields that w... Metin Sitti
Haptic Intelligence Talk Dominika Lisy 07-04-2022 Boundary-Crossing Empathy: The Figuration of the Skin, Bodies, and Boundaries What does it mean to have empathic interactions with robots? What is the role of a body, its surface, and the sense of self for building relations? And how does it change what it means to be human? These could be seen as overarching questions of my PhD project which aims to provide a feminist ethical framework for designing and imagining interactions with robots. I am interested in thinking about the role of binary divides such as human/non-human, self/other or reason/emotion in affective human-robot interaction. I want to look closely at their conceptual and material relations and under... Katherine J. Kuchenbecker
Perceiving Systems Talk Henry Clever 07-04-2022 Modeling Humans at Rest with Applications to Robotic Assistance Humans spend a large part of their lives resting. Machine perception of this class of body poses would be beneficial to numerous applications, but it is complicated by line-of-sight occlusion from bedding. Pressure sensing mats are a promising alternative, but data is challenging to collect at scale. To overcome this, we use modern physics engines to simulate bodies resting on a soft bed with a pressure sensing mat. This method can efficiently generate data at scale for training deep neural networks. We present a deep model trained on this data that infers 3D human pose and body shape from ... Dimitris Tzionas Chun-Hao Paul Huang
Perceiving Systems Talk Sida Peng 07-04-2022 Reconstructing Static Scenes and Dynamic Humans with Implicit Neural Representations 3D reconstruction is a long-standing problem in computer vision and has a variety of applications such as virtual reality, 3D content generation, and telepresence. In this talk, I will present our progress on 3D reconstruction of static scenes and dynamic humans with implicit neural representations. The first part of the talk introduces an effective regularization when optimizing implicit neural representations on indoor scenes based on the Manhattan-world Assumption. In the second part, I will show some animatable implicit neural representations for modeling dynamic humans from videos. Hongwei Yi
Haptic Intelligence Talk Alborz Aghamaleki Sarvestani 05-04-2022 Mechanical Design, Development and Testing of Bioinspired Legged Robots for Dynamic Locomotion Animals like ostriches perform complex locomotion tasks in the presence of large neurocontrol delays and potentially with limited central command. It is surprising that legged robots with high control frequencies and microsecond-range control delays are still unable to compete with legged animals in terms of agility, robustness, performance, and energy efficiency. These observations led us to look closely at animals to draw inspiration and improve robotic leg designs. For example, we observed that certain leg joints moved in a coordinated manner but without neural command when manually flex... Katherine J. Kuchenbecker
Haptic Intelligence Talk Giulia Ballardini 18-03-2022 Assessment and Enhancement of Proprioceptive Performance In daily living activities, proprioception – information about limbs’ position and movement and the force that they applied - is fundamental to respond to the environment and rapidly react to changing circumstances. For example, it allows us to maneuver and find our way around obstacles in the dark and manipulate objects out of view, preventing their slippage. Many neurological conditions and traumatic events affect motor and somatosensory functions. Reliable methods to quantify proprioceptive deficits are crucial for better understanding the pathophysiology of disability, enhancing the det... Katherine J. Kuchenbecker
Haptic Intelligence Talk Buse Aktaş 17-03-2022 Multidimensional Tunable Mechanics Using Jamming Jamming is a structural phenomenon that provides tunable mechanical behavior. A jamming structure typically consists of a collection of elements with low effective stiffness and damping. When a pressure gradient, such as vacuum, is applied, kinematic and frictional coupling increase, resulting in dramatically altered mechanical properties. This results in a number of functional capabilities useful for robotics applications including: tunable stiffness, tunable force threshold, tunable dynamic response, reversible plasticity, shape locking, and variable kinematics. Engineers have used jammin... Katherine J. Kuchenbecker
Haptic Intelligence Talk Gemma Carolina Bettelani 14-03-2022 On the Role of Tactile Perception for the Representation of Motion and Space: Modeling and Applications to Advanced Human-Machine Interaction It is well known from the literature that cutaneous touch plays a crucial role in the perception of physical properties of the objects (e.g. shape, texture). However, the tactile mechanoreceptors are also important in building a perceptual representation of space and motion and in guiding and controlling human movements. Unveiling and mathematically modelling the components underpinning these phenomena is important not only to shed light on the neuroscientific mechanisms of the human somatosensory system but also to design artificial devices and experimental protocols for advanced human-mac... Katherine J. Kuchenbecker
Max Planck Lecture Professor Bilge Yildiz 10-03-2022 Understanding and tuning the surface chemistry of perovskite oxides to activate oxygen exchange and water splitting reactions The deployment of decarbonization technologies, including solid oxide fuel and electrolysis cells, is limited by slow rates of conversion reactions at surfaces, and instability of materials under operating conditions. A major scientific challenge has been the lack of knowledge of the chemistry and electronic structure on material surfaces in the harsh operational conditions.
Perceiving Systems Talk Pinelopi Papalampidi 08-02-2022 Structure-aware Narrative Understanding and Summarization In this work, we analyze and summarize full-length movies from multimodal input (i.e., video, text, audio). We first hypothesize that identifying the narrative structure of movies is a precondition for summarizing them. According to screenwriting theory, turning points (e.g., change of plans, major setback, climax) are crucial narrative moments within a movie that define the narrative structure and determine its progression and thematic units. Therefore, we introduce the task of Turning Point (TP) identification and leverage it for movie summarization and trailer generation. Next, we propos... Nikos Athanasiou Chun-Hao Paul Huang
Perceiving Systems Talk Ye Yuan 18-01-2022 Unified Simulation, Perception, and Generation of Human Behavior Understanding and modeling human behavior is fundamental to almost any computer vision and robotics applications that involve humans. In this talk, I will present a holistic approach to human behavior modeling and tackle its three essential aspects --- simulation, perception, and generation. I will show how the three aspects are deeply connected and how utilizing and improving one aspect can greatly benefit the other aspects. Since humans live in a physical world, we treat simulation as the foundation of our approach and start by developing a fundamental framework for representing human ... Hongwei Yi
Conference 12-01-2022 - 13-01-2022 Scientific Symposium All current and former employees and friends of the Max Planck Institute for Intelligent Systems and Cyber Valley are welcome to attend this event. If you have any questions, please contact Cyber Valley Research Coordinator - Florian Mayer (florian.mayer@cyber-valley.de) Bernhard Schölkopf Metin Sitti Michael Black Moritz Hardt Christoph Keplinger Katherine J. Kuchenbecker Matthias Tröndle Florian Mayer
Perceiving Systems Talk Arianna Rampini 14-12-2021 Discrete inverse spectral geometry for shape analysis Spectral quantities as the eigenvalues of the Laplacian operator are widely used in geometry processing since they provide a very informative summary of the intrinsic geometry of deformable shapes. Typically, the intrinsic properties of shapes are computed from their representation in 3D space and are used to encode compact geometric features, thus adopting a data-reduction principle. On the contrary, this talk focuses on the inverse problem: namely, recovering an extrinsic embedding from a purely intrinsic encoding, like in the classical “hearing the shape of the drum” problem. I will sta... Silvia Zuffi
Perceiving Systems Talk Yajie Zhao 10-12-2021 Next Generation Lifelike Avatar Creation High-fidelity avatar creation for films and games is tied with complex capture equipment, massive data, a long production cycle, and intensive manual labor by a production team. And it may still be in the notorious Uncanny Valley. In this talk, we will explore how to produce a lifelike avatar in a low-cost way. We will show how to leverage deep learning networks to accelerate and simplify the industrial avatar production procedure from data capturing to animation. And bring photorealism to the next level! Timo Bolkart
Haptic Intelligence Talk Arnaud Allemang--Trivalle 07-12-2021 Trimanipulation: Virtual reality training platform Supernumerary robotic limbs could significantly impact human capabilities, offering people to achieve actions that are not possible with only two natural hands. However, as three-hand control is not typical in everyday activities, it is currently unknown how to train people to acquire this "super" capability. In this talk, I will present a virtual reality trimanual platform that I developed during my master's thesis. This system offers to control three virtual hands separately or together in three degrees of freedom. The dominant foot served as the additional source of motor commands for t... Katherine J. Kuchenbecker
Haptic Intelligence Talk David Gueorguiev 25-11-2021 Vibrotactile Patterns for Haptic Surfaces I will explore several rendering solutions for providing rich haptic feedback on surfaces. The main topics will be potential physical barriers to propagation of vibrations in the tactile range, rendering of real-life haptic interactions such as virtual musical instruments, and the potential use of haptic illusions for navigation aids. Katherine J. Kuchenbecker
Haptic Intelligence IS Colloquium Wenzhen Yuan 09-11-2021 Simulating the GelSight Sensors: From Physics to Data In recent years, vision-based high-resolution tactile sensors such as GelSight have been widely used because the rich signal provides useful information regarding the state of the robot and the environment. However, a major barrier for applying tactile sensors like GelSight is the cost. To make the tactile sensors more accessible to a broader community, we propose to build a simulation model for vision-based tactile sensors like GelSight. We explore two modeling methods for making the model: a physically-based method that uses rendering technologies to simulate the sensor's optical design a... Katherine J. Kuchenbecker
Perceiving Systems Talk Yandong Wen 05-10-2021 Toward Reconstructing Face from Voice We address a new challenge posed by voice profiling - reconstructing someone’s face from their voice. Specifically, given an audio clip spoken by an unseen person, we aim to reconstruct a face that has as many associations as possible with the speaker in terms of identity. In this talk, I will introduce how we explore and approach the ultimate goal step by step. First, we investigate the audio-visual association by matching voices to faces based on identity, and vice versa. Second, we set up a baseline for reconstructing 2D face images from a voice recording and show reasonable reconstructi... Timo Bolkart
Event 30-09-2021 Anniversary: 10 years MPI-IS & 100 years MPI-MF The Max Planck Institute for Intelligent Systems in Stuttgart and T&uuml;bingen is celebrating a double anniversary this year: As one of the oldest and largest institutes of the Max Planck Society, the Max Planck Institute for Metals Research celebrates its 100th anniversary. Simultaneously, we are also celebrating the 10th anniversary of the Max Planck Institute for Intelligent Systems, which emerged from the scientific realignment of the institute in 2011. <p class="p-text-lg">Please join us in celebrating this historic event for our institute!</p> Bernhard Schölkopf Matthias Tröndle Barbara Kettemann Oliwia Gust Claudia Daefler Alejandro Posada Nassim Taghipour Katherine J. Kuchenbecker Gisela Schütz
Perceiving Systems Talk Yuxiang Zhang and Yang Zheng 28-09-2021 DeepMultiCap & Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras We propose DeepMultiCap, a novel method for multi-person performance capture using sparse multi-view cameras. Our method can capture time varying surface details without the need of using pre-scanned template models. To tackle the serious occlusion challenge for close interacting scenes, we combine a recently proposed pixel-aligned implicit function with a parametric model for robust reconstruction of the invisible surface areas. An effective attention-aware module is designed to obtain the fine-grained geometry details from multi-view images, where high-fidelity results can be generated. I... Chun-Hao Paul Huang
Perceiving Systems Talk Meng-Yu Jennifer Kuo 27-09-2021 Refraction and Absorption for Underwater Shape Recovery In this talk the speaker will present her work on the recovery of rigid and deformable 3D shape from underwater images. Silvia Zuffi
Haptic Intelligence Talk Carlo Sferrazza 24-09-2021 Data-driven, Vision-based Tactile Sensing: Design, Simulation, and Applications to Robot Control Katherine J. Kuchenbecker
Perceiving Systems Talk Siwei Zhang 22-09-2021 Learning motion priors for 4D human body capture in 3D scenes It is challenging to recover realistic human-scene interactions and high-quality human motions while dealing with occlusions and partial views with a monocular RGB(D) camera. We address this problem by learning motion smoothness and infilling priors from the large scale mocap dataset AMASS, to reduce the jitters, and handle contacts and occlusions, respectively. Furthermore, we combine them into a multi-stage optimization pipeline for the high quality 4D human capture in complex 3D scenes. Chun-Hao Paul Huang
Perceiving Systems Talk Jiefeng Li 06-09-2021 From skeleton to body: Keypoint Estimation is Helpful for Human Body Reconstruction My works mainly lie in inferring human structures from RGB inputs, which starts from 2D keypoint estimation, towards more complex tasks like 3D skeleton inference and SMPL-based human pose & shape estimation. Along this road, we find that high-level tasks, like human body estimation, can benefit a lot from low-level inferred structures, like 3D skeletons, and vice versa. Furthermore, in our latest work, "Human Pose Regression with Residual Log-likelihood Estimation", we unified all the above HPS tasks in a direct regression paradigm, replacing generally accepted heatmap without loss of accu... Yuliang Xiu
Talk Dr. Zamfir, Elena 06-09-2021 Interactions between causal attributions and beliefs: evidence from a novel task
Talk Prof. de Araujo, Ivan 16-08-2021 Neuronal Circuits for Value-Based Decision-Making
Haptic Intelligence PhD Thesis Defense 12-08-2021 HuggieBot: An Interactive Hugging Robot with Visual and Haptic Perception Hugs are one of the first forms of contact and affection humans experience. Receiving a hug is one of the best ways to feel socially supported, and the lack of social touch can have severe adverse effects on an individual's well-being. Due to the prevalence and health benefits of hugging, roboticists are interested in creating robots that can hug humans as seamlessly as humans hug other humans. However, hugs are complex affective interactions that need to adapt to the height, body shape, and preferences of the hugging partner, and they often include intra-hug gestures like squeezes. This di... Katherine J. Kuchenbecker Alexis Block
Perceiving Systems Talk Davis Rempe 27-07-2021 Modeling 3D Human Motion for Improved Pose Estimation Though substantial progress has been made in estimating 3D human poses from dynamic observations, recent methods still struggle to recover physically-plausible motions, and the presence of noise and occlusions remains challenging. In this talk, I'll introduce two methods that tackle these issues by leveraging models of 3D human motion - one physics-based and one learned. In the first approach, an initial 3D motion is refined using a physics-based trajectory optimization that leverages automatically-detected foot contacts from RGB video. In the second, a learned generative model is used as a... Muhammed Kocabas
Perceiving Systems Talk Hao Li 26-07-2021 AI SYNTHESIS: FROM AVATARS TO 3D SCENES In this talk I will motivate how digital humans will impact the future of communication, human-machine interaction, and content creation. I will present our latest 3D avatar digitization technology from Pinscreen from a single photo, and give a live demonstration. I will also showcase how we use hybrid CG and neural rendering solutions for real-time applications used in next generation virtual assistant and virtual production pipelines. I will then present a real-time teleportation system that only uses a single webcam as input, and our latest efforts at UC Berkeley in real-time AI synthesi... Yao Feng
Event 22-07-2021 2021 Ph.D. Graduation Ceremony With this Graduation Ceremony, we celebrate the success of 21 young researchers who successfully defended their doctoral theses during the past 12 months. Six world-class universities are awarding doctoral degrees to this year’s batch of graduating students, who are affiliated either directly with MPI-IS or indirectly through our doctoral programs (Cam-Tue, CLS, CMU, and IMPRS-IS). Cäcilia Heinisch Sarah Danes Sara Sorce
Perceiving Systems Talk Maria Kolos 14-07-2021 TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer We propose and evaluate a neural point-based graphics method that can model semi-transparent scene parts. Similarly to its predecessor pipeline, ours uses point clouds to model proxy geometry, and augments each point with a neural descriptor. Additionally, a learnable transparency value is introduced in our approach for each point. Our neural rendering procedure consists of two steps. Firstly, the point cloud is rasterized using ray grouping into a multi-channel image. This is followed by the neural rendering step that "translates" the rasterized image into an RGB output using a learnable ... Qianli Ma
IS Colloquium Prof. Margarita Chli 28-06-2021 Teaching Robots to See – Challenges and Developments in Robotic Vision As vision plays a key role in how we interpret a situation, developing vision-based perception for robots promises to be a big step towards robotic intelligence. This talk will briefly discuss some of the biggest challenges we are faced with all the way from robust localization and mapping, to dense scene representation for path planning, and collaborative perception. With effective robot collaboration featuring as a key scientific challenge in the field, the talk will focus on this topic describing our recent progress in this area at the Vision for Robotics Lab of ETH Zurich (http://www.v4... Katherine J. Kuchenbecker Oliwia Gust
Perceiving Systems Talk Nataniel Ruiz 14-06-2021 Using Generative Models for Faces to Test Neural Networks Most machine learning models are validated on fixed datasets. This can give an incomplete picture of the capabilities and weaknesses of the model. Such weaknesses can be revealed at test time in the real world with dire consequences. In order to alleviate this issue, simulators can be controlled in a fine-grained manner using interpretable parameters to explore the semantic image manifold and discover such weaknesses before deploying a model. Also, in recent years there have been important advances in generative models for computer vision resulting in realistic face generation and manipulat... Timo Bolkart
Perceiving Systems Talk Peizhuo Li 10-06-2021 Learning Skeletal Articulations with Neural Blend Shapes Animating a newly designed character using motion capture (mocap) data is a long standing problem in computer animation. A key consideration is the skeletal structure that should correspond to the available mocap data, and the shape deformation in the joint regions, which often requires a tailored, pose-specific refinement. In this work, we develop a neural technique for articulating 3D characters using enveloping with a pre-defined skeletal structure which produces high quality pose dependent deformations. Our framework learns to rig and skin characters with the same articulation structure... Hongwei Yi
Rationality Enhancement Conference 09-06-2021 - 13-06-2021 Life Improvement Science Conference Life Improvement Science (LIS) is an emerging transdisciplinary research field that investigates how we can help people do more good in better ways (well-doing). Falk Lieder Mike Prentice Pin-Zhen Chen Anastasia Lado Sierra Kaiser Victoria Amo
Perceiving Systems Talk Marc Habermann 01-06-2021 Real-time Deep Dynamic Characters Animatable and photo-realistic virtual 3D characters are of enormous importance nowadays. However, generating realistic characters still requires manual intervention, expensive equipment, and the resulting characters are either difficult to control or not realistic. Therefore, the goal of the work, that is presented within the talk, is to learn digital characters which are both realistic and easy to control and can be learned directly from a multi-view video. To this end, I will introduce a deep videorealistic 3D human character model displaying highly realistic shape, motion, and dynamic a... Yinghao Huang Chun-Hao Paul Huang
Perceiving Systems Talk Gyeongsik Moon 12-04-2021 Expressive Whole-Body 3D Multi-Person Pose and Shape Estimation from a Single Image Human is the most centric and interesting object in our life: many human-centric techniques and studies have been proposed from both industry and academia, such as virtual try-on, 3D personal avatar, and marker-less motion capture in the movie/game industry, including AR/VR. Recovery of accurate 3D geometry of humans (i.e., 3D human pose and shape) is a key component of the human-centric techniques and studies. In particular, the 3D pose and shape of multiple persons can deliver relative 3D location between persons. Also, the 3D pose and shape of the whole body, which includes hands and fac... Chun-Hao Paul Huang
Perceiving Systems Talk Angjoo Kanazawa 08-04-2021 Pushing the Boundaries of Novel View Synthesis 2020 was a turbulent year, but for 3D learning it was a fruitful one with lots of exciting new tools and ideas. In particular, there have been many exciting developments in the area of coordinate based neural networks and novel view synthesis. In this talk I will discuss our recent work on single image view synthesis with pixelNeRF, which aims to predict a Neural Radiance Field (NeRF) from a single image. I will discuss how NeRF representation allows models like pixel-aligned implicit functions (PiFu) to be trained without explicit 3D supervision and the importance of other key design fact... Qianli Ma
Perceiving Systems Talk Meng Zhang 01-04-2021 Hair & garment synthesis using deep learning method For both AR and VR applications, there is a strong motivation to generate virtual avatars with realistic hairs and garments that are the two most significant elements to personify any character. However, due to the complex structures and ever-changing fashion styles, modeling hairs and garments still remain tedious and expensive as they require considerable professional effort. My research interest focuses on deep learning methods in 3D modeling, rendering, and animation, especially to synthesis high-quality hairs and garments with plausible details. In this talk, I will present the progres... Jinlong Yang
Perceiving Systems Talk Leonidas Guibas 22-02-2021 Joint Learning Over Visual and Geometric Data Many challenges remain in applying machine learning to domains where obtaining massive annotated data is difficult. We discuss approaches that aim to reduce supervision load for learning algorithms in the visual and geometric domains by leveraging correlations among data as well as among learning tasks -- what we call joint learning. The basic notion is that inference problems do not occur in isolation but rather in a "social context" that can be exploited to provide self-supervision by enforcing consistency, thus improving performance and increasing sample efficiency. An example is voting ... Qianli Ma
Perceiving Systems Talk Ruilong Li 10-02-2021 AI Choreographer: Learn to dance with AIST++ In this work, we present a transformer-based learning framework for 3D dance generation conditioned on music. We carefully design our network architecture and empirically study the keys for obtaining qualitatively pleasing results. In addition, we propose a new dataset of paired 3D motion and music called AIST++, which contains 1.1M frames of 3D dance motion in 1408 sequences, covering 10 genres of dance choreographies and accompanied with multi-view camera parameters. To our knowledge it is the largest dataset of this kind. Yuliang Xiu
Physical Intelligence Talk Dr. Gündoğ Yücesan 09-02-2021 Phosphonate-MOFs,-HOFs: Next generation of microporous compounds Among the other metal organic framework (MOF) familieis, phosphonic acids provide the richest metal binding for MOF synthesis, and they are known to exhibit exceptional thermal and chemical stabilities. Due to the synthetic difficulties, the total number of microporous phosphonate-MOFs are still limited in the literature. In this work, we provide design and synthesis strategies to form semiconductive, proton conductive microporous MOFs and hydrogen bonded organic frameworks (HOFs) constructed using structure directing arylphosphonic acids. Metin Sitti
Perceiving Systems Talk Shruti Agarwal 28-01-2021 Creating, Weaponizing, and Detecting Deep Fakes The past few years have seen a startling and troubling rise in the fake-news phenomena in which everyone from individuals to nation-sponsored entities can produce and distribute misinformation. The implications of fake news range from a misinformed public to an existential threat to democracy, and horrific violence. At the same time, recent and rapid advances in machine learning are making it easier than ever to create sophisticated and compelling fake images, videos, and audio recordings, making the fake-news phenomena even more powerful and dangerous. These AI-synthesized media (so-called... Jinlong Yang
Symposium 27-01-2021 - 28-01-2021 IMPRS-IS 2021 Symposium Keynotes The 2021 IMPRS-IS Interview Symposium will feature two keynote presentations open to our entire community. Speakers include Dr. Ulrike von Luxburg of the University of Tübingen and Dr. Christoph Keplinger representing the Max Planck Institute for Intelligent Systems. Sara Sorce
Perceiving Systems Talk Yixin Chen 27-01-2021 Towards a more holistic understanding of scene, object, and human Humans, even young infants, are adept at perceiving and understanding complex indoor scenes. Such an incredible vision system relies on not only the data-driven pattern recognition but also roots from the visual reasoning system, known as the core knowledge, that facilitates the 3D holistic scene understanding tasks. This talk discusses how to employ physical common sense and human-object interaction to bridge scene and human understanding and how the part-level 3D affordance perception may lead to a more fine-grained human-object interaction modeling. Future directions may be extended to d... Dimitris Tzionas