Tootfinder

"The findings demonstrate that repository shutdown does happen and can result in permanent data loss… Data #reuse & #citation are increasingly promoted by journals, funders and other stakeholders. If these practices become more common, data loss might pose a threat to the permanence of the scholarly…

Do disappearing data repositories pose a threat to open science and the scholarly record?
Research data repositories play a vital role in ensuring research is reproducible, replicable and reusable. Yet, the infrastructure supporting them can be impermanent. Drawing on a new dataset Doro…

This https://arxiv.org/abs/2404.14885 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Domain adaptive pose estimation via multi-level alignment
Domain adaptive pose estimation aims to enable deep models trained on source domain (synthesized) datasets produce similar results on the target domain (real-world) datasets. The existing methods have made significant progress by conducting image-level or feature-level alignment. However, only aligning at a single level is not sufficient to fully bridge the domain gap and achieve excellent domain adaptive results. In this paper, we propose a multi-level domain adaptation aproach, which aligns d…

#BCG24 teardown action 😁

What's egregious is that no-shirt jacket look. 🤮
But honestly is anyone surprised it's a real estate "bro"?
"Egregious Misconduct - B.C. real estate fraudster sentenced to 5 years jail in Calgary, pay $1.3M in restitution."
https://www.

'Demolishing democracy': how much danger does Christian nationalism pose? (Adrian Horton/The Guardian)
https://www.theguardian.com/film/2024/apr/27/bad-faith-documentary-christian-nationalism
http://www.memeorandum.com/240427/p12#a240427p12

Our thrice-annual Student Night is coming up this Thursday night and is a lot of fun. Read more about this successful program for #UniversityOfGeorgia students: https://georgiamu…

"Nanotechnology promises to help farmers cut pesticide use – but could also make chemicals more toxic"
#Agriculture #Pesticides #Chemicals

Nanotechnology promises to help farmers cut pesticide use – but could also make chemicals more toxic
Nano-enabled pesticides could pose huge risks and they aren’t being regulated effectively enough yet.

I love the term LignoSat: satellites made of wood (lignum in Latin).
https://www.fastcompany.com/91039069/this-small-wooden-cube-is-actually-a-satellite-thats-being-sent-to-space

This small wooden cube is actually a satellite that’s being sent to space
Aluminum satellites may pose a serious risk to the ozone layer. Japanese researchers want to make them out of wood instead.

This https://arxiv.org/abs/2302.07433 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems
Knowledge about the own pose is key for all mobile robot applications. Thus pose estimation is part of the core functionalities of mobile robots. Over the last two decades, LiDAR scanners have become the standard sensor for robot localization and mapping. This article aims to provide an overview of recent progress and advancements in LiDAR-based global localization. We begin by formulating the problem and exploring the application scope. We then present a review of the methodology, including re…

Documentary "Bad Faith" looks at the history of a group trying to affect and corrupt politics under the guise of religion
https://www.theguardian.com/film/2024/apr/27/bad-faith-documentary-christian-nationalism

Friday essay: Project 2025, the policy substance behind Trump’s showmanship, reveals a radical plan to reshape the world
https://theconversation.com/friday-essay-project-2025-th…

Friday essay: Project 2025, the policy substance behind Trump’s showmanship, reveals a radical plan to reshape the world
Project 2025 is iconoclastic and dystopian. Those who wish to understand Trump and the movement behind him, and the active threat they pose to American democracy, are obliged to take it seriously.

Took a couple days last week to drive out to Joshua Tree National Park with the lab, to see what the spring flowering season looks like so far.
We had gorgeous, cool, clear weather, and some very nice hikes, but didn't see a single Joshua tree in flower.
https://flic.kr/p/2pAhjeh

Ring-a-Pose: A Ring for Continuous Hand Pose Tracking
Tianhong Catherine Yu, Guilin Hu, Ruidong Zhang, Hyunchul Lim, Saif Mahmud, Chi-Jung Lee, Ke Li, Devansh Agarwal, Shuyang Nie, Jinseok Oh, Fran\c{c}ois Guimbreti\`ere, Cheng Zhang
https://arxiv.org/abs/2404.12980

Ring-a-Pose: A Ring for Continuous Hand Pose Tracking
We present Ring-a-Pose, a single untethered ring that tracks continuous 3D hand poses. Located in the center of the hand, the ring emits an inaudible acoustic signal that each hand pose reflects differently. Ring-a-Pose imposes minimal obtrusions on the hand, unlike multi-ring or glove systems. It is not affected by the choice of clothing that may cover wrist-worn systems. In a series of three user studies with a total of 30 participants, we evaluate Ring-a-Pose's performance on pose tracking a…

Bin gespannt, wie diese Pose von @… aus aussah, sie saß mir ggü.
#15minPose #aktzeichnen

Bin gespannt, wie diese Pose von @… aus aussah, sie saß mir ggü.
#15minPose #aktzeichnen

I'm disappointed - We are in an election year, and I, like many, are frustrated by the ballot choices. I will hold my nose and vote #Democratic as the #GOP has demonstrated how much of a threat they pose to all but the wealthy - and how they will mobilize the rest with

I'm disappointed - We are in an election year, and I, like many, are frustrated by the ballot choices. I will hold my nose and vote #Democratic as the #GOP has demonstrated how much of a threat they pose to all but the wealthy - and how they will mobilize the rest with

Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents
Radovan Haluska, Martin Schmid
https://arxiv.org/abs/2404.16689 https://

Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents
While Poker, as a family of games, has been studied extensively in the last decades, collectible card games have seen relatively little attention. Only recently have we seen an agent that can compete with professional human players in Hearthstone, one of the most popular collectible card games. Although artificial agents must be able to work with imperfect information in both of these genres, collectible card games pose another set of distinct challenges. Unlike in many poker variants, agents m…

SoK: Comprehensive Analysis of Rug Pull Causes, Datasets, and Detection Tools in DeFi
Dianxiang Sun, Wei Ma, Liming Nie, Yang Liu
https://arxiv.org/abs/2403.16082

SoK: Comprehensive Analysis of Rug Pull Causes, Datasets, and Detection Tools in DeFi
Rug pulls pose a grave threat to the cryptocurrency ecosystem, leading to substantial financial loss and undermining trust in decentralized finance (DeFi) projects. With the emergence of new rug pull patterns, research on rug pull is out of state. To fill this gap, we first conducted an extensive analysis of the literature review, encompassing both scholarly and industry sources. By examining existing academic articles and industrial discussions on rug pull projects, we present a taxonomy inclu…

An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
Sifat Muhammad Abdullah, Aravind Cheruvu, Shravya Kanchi, Taejoong Chung, Peng Gao, Murtuza Jadliwala, Bimal Viswanath
https://arxiv.org/abs/2404.16212

An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
Deepfake or synthetic images produced using deep generative models pose serious risks to online platforms. This has triggered several research efforts to accurately detect deepfake images, achieving excellent performance on publicly available deepfake datasets. In this work, we study 8 state-of-the-art detectors and argue that they are far from being ready for deployment due to two recent developments. First, the emergence of lightweight methods to customize large generative models, can enable …

This https://arxiv.org/abs/2301.00995 has been replaced.
link: https://scholar.google.com/scholar?q=a

Unconditional Quantum Advantage for Sampling with Shallow Circuits
Recent work by Bravyi, Gosset, and Koenig showed that there exists a search problem that a constant-depth quantum circuit can solve, but that any constant-depth classical circuit with bounded fan-in cannot. They also pose the question: Can we achieve a similar proof of separation for an input-independent sampling task? In this paper, we show that the answer to this question is yes when the number of random input bits given to the classical circuit is bounded. We introduce a distribution $D_{n…

The #IMEC recently presented an extremely small wireless power supply unit that works with ultrasound. It makes it possible to charge neural and other #implants with low power consumption. Since conventional power supply methods pose a risk to patients, the IMEC developed an

Drahtlose Energieversorgung für minimalinvasive Implantate
Imec hat eine kompakte und drahtlose Energieversorgung mit niedrigem Stromverbrauch vorgestellt. Die neuartige ultraschallgestützte Technologie bahnt den Weg zu miniaturisierten und minimalinvasiven neuronalen Implantaten, die der Medizintechnik neue Möglichkeiten eröffnen.

D279,386 - issued in 1985 for a "party needs memo holder." #DesignPatents

#Jazz: "Notes From New York" - Bill Charlap Trio <https://alpo.gitlab.io/jots/posts/2024/02/notes-from-new-york-bill-charlap-trio/>

A Situated-Infrastructuring of WhatsApp for Business in India
Ankolika De
https://arxiv.org/abs/2404.16124 https://arxiv.org/pdf/2404…

A Situated-Infrastructuring of WhatsApp for Business in India
WhatsApp has become a pivotal communication tool in India, transcending cultural boundaries and deeply integrating into the nation's digital landscape. Meta's introduction of WhatsApp for Business aligns seamlessly with the platform's popularity, offering businesses a crucial tool. However, the monetization plans pose challenges, particularly for smaller businesses, in balancing revenue goals with accessibility. This study, employing discourse analysis, examines Meta's infrastructuring of Whats…

Expanding the frontiers of cool-dwarf asteroseismology with ESPRESSO. Detection of solar-like oscillations in the K5 dwarf $\epsilon$ Indi
T. L. Campante, H. Kjeldsen, Y. Li, M. N. Lund, A. M. Silva, E. Corsaro, J. Gomes da Silva, J. H. C. Martins, V. Adibekyan, T. Azevedo Silva, T. R. Bedding, D. Bossini, D. L. Buzasi, W. J. Chaplin, R. R. Costa, M. S. Cunha, E. Cristo, J. P. Faria, R. A. Garc\'ia, D. Huber, M. S. Lundkvist, T. S. Metcalfe, M. J. P. F. G. Monteiro, A. W. Neitzel, …

Expanding the frontiers of cool-dwarf asteroseismology with ESPRESSO. Detection of solar-like oscillations in the K5 dwarf $ε$ Indi
Fuelled by space photometry, asteroseismology is vastly benefitting the study of cool main-sequence stars, which exhibit convection-driven solar-like oscillations. Even so, the tiny oscillation amplitudes in K dwarfs continue to pose a challenge to space-based asteroseismology. A viable alternative is offered by the lower stellar noise over the oscillation timescales in Doppler observations. In this letter we present the definite detection of solar-like oscillations in the bright K5 dwarf $ε$ …

A Geometric Perspective on Fusing Gaussian Distributions on Lie Groups
Yixiao Ge, Pieter van Goor, Robert Mahony
https://arxiv.org/abs/2403.16411 https://<…

A Geometric Perspective on Fusing Gaussian Distributions on Lie Groups
Stochastic inference on Lie groups plays a key role in state estimation problems, such as inertial navigation, visual inertial odometry, pose estimation in virtual reality, etc. A key problem is fusing independent concentrated Gaussian distributions defined at different reference points on the group. In this paper we approximate distributions at different points in the group in a single set of exponential coordinates and then use classical Gaussian fusion to obtain the fused posteriori in those…

This https://arxiv.org/abs/2402.14539 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Transforming Norm-based To Graph-based Spatial Representation for Spatio-Temporal Epidemiological Models
Pandemics, with their profound societal and economic impacts, pose significant threats to global health, mortality rates, economic stability, and political landscapes. In response to the persistent challenges posed by emerging and reemerging pandemics, numerous studies have employed spatio-temporal models to enhance our understanding and management of these complex phenomena. These spatio-temporal models can be roughly divided into two main spatial categories: norm-based and graph-based trade-o…

This https://arxiv.org/abs/2310.16139 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Pix2HDR -- A pixel-wise acquisition and deep learning-based synthesis approach for high-speed HDR videos
Accurately capturing dynamic scenes with wide-ranging motion and light intensity is crucial for many vision applications. However, acquiring high-speed high dynamic range (HDR) video is challenging because the camera's frame rate restricts its dynamic range. Existing methods sacrifice speed to acquire multi-exposure frames. Yet, misaligned motion in these frames can still pose complications for HDR fusion algorithms, resulting in artifacts. Instead of frame-based exposures, we sample the videos…

🔥Genocide is almost by definition beyond comparison with “normal” politics and everyday thuggish behavior, and to compare Trump’s feckless racism and compulsive lying was inevitably to trivialize Hitler’s crime and the victims of genocide.
🔥But after the election, things changed.
Now Trump and his minions are in the driver’s seat, attempting to pose as respectable participants in American politics, when their views come out of a playbook written in German. Now is the time for a …

Against Normalization: The Lesson of the “Munich Post” | Los Angeles Review of Books
Ron Rosenbaum on what the media can learn from the prescient "Munich Post."...

This https://arxiv.org/abs/2401.15236 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones
Sub-10cm diameter nano-drones are gaining momentum thanks to their applicability in scenarios prevented to bigger flying drones, such as in narrow environments and close to humans. However, their tiny form factor also brings their major drawback: ultra-constrained memory and processors for the onboard execution of their perception pipelines. Therefore, lightweight deep learning-based approaches are becoming increasingly popular, stressing how computational efficiency and energy-saving are param…

Can Transnistria pose danger to Moldova, Ukraine?: https://benborges.xyz/2024/03/03/can-transnistria-pose.html

Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, SDN, and MEC
Reza Farahani
https://arxiv.org/abs/2403.16951 https://

Network-Assisted Delivery of Adaptive Video Streaming Services through CDN, SDN, and MEC
Multimedia applications, mainly video streaming services, are currently the dominant source of network load worldwide. In recent Video-on-Demand (VoD) and live video streaming services, traditional streaming delivery techniques have been replaced by adaptive solutions based on the HTTP protocol. Current trends toward high-resolution (e.g., 8K) and/or low-latency VoD and live video streaming pose new challenges to end-to-end (E2E) bandwidth demand and have stringent delay requirements. To do thi…

Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data
Arshmeet Kaur, Morteza Sarmadi
https://arxiv.org/abs/2402.14980

Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data
Rapid advancements in genome sequencing have led to the collection of vast amounts of genomics data. Researchers may be interested in using machine learning models on such data to predict the pathogenicity or clinical significance of a genetic mutation. However, many genetic datasets contain imbalanced target variables that pose challenges to machine learning models: observations are skewed/imbalanced in regression tasks or class-imbalanced in classification tasks. Genetic datasets are also oft…

This https://arxiv.org/abs/2309.08865 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

ARTEMIS: AI-driven Robotic Triage Labeling and Emergency Medical Information System
Mass casualty incidents (MCIs) pose a significant challenge to emergency medical services by overwhelming available resources and personnel. Effective victim assessment is the key to minimizing casualties during such a crisis. We introduce ARTEMIS, an AI-driven Robotic Triage Labeling and Emergency Medical Information System, to aid first responders in MCI events. It leverages speech processing, natural language processing, and deep learning to help with acuity classification. This is deployed …

This https://arxiv.org/abs/2402.14285 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
We study the problem of symbolic music generation (e.g., generating piano rolls), with a technical focus on non-differentiable rule guidance. Musical rules are often expressed in symbolic form on note characteristics, such as note density or chord progression, many of which are non-differentiable which pose a challenge when using them for guided diffusion. We propose Stochastic Control Guidance (SCG), a novel guidance method that only requires forward evaluation of rule functions that can work …

If you search for “DeLorean,” besides the famous pose for Back to the Future, there are almost no photos showing people for scale. They are shockingly tiny! (Okay not MG tiny, but, small.)

Interactive Visual Learning for Stable Diffusion
Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng, Austin Wright, Kevin Li, Haekyu Park, Haoyang Yang, Polo Chau
https://arxiv.org/abs/2404.16069

Interactive Visual Learning for Stable Diffusion
Diffusion-based generative models' impressive ability to create convincing images has garnered global attention. However, their complex internal structures and operations often pose challenges for non-experts to grasp. We introduce Diffusion Explainer, the first interactive visualization tool designed to elucidate how Stable Diffusion transforms text prompts into images. It tightly integrates a visual overview of Stable Diffusion's complex components with detailed explanations of their underlyi…

ChatDBG: An AI-Powered Debugging Assistant
Kyla Levin, Nicolas van Kempen, Emery D. Berger, Stephen N. Freund
https://arxiv.org/abs/2403.16354 https://

ChatDBG: An AI-Powered Debugging Assistant
This paper presents ChatDBG, the first AI-powered debugging assistant. ChatDBG integrates large language models (LLMs) to significantly enhance the capabilities and user-friendliness of conventional debuggers. ChatDBG lets programmers engage in a collaborative dialogue with the debugger, allowing them to pose complex questions about program state, perform root cause analysis for crashes or assertion failures, and explore open-ended queries like "why is x null?". To handle these queries, ChatDBG…

A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd
Ya-Ting Yang, Tao Zhang, Quanyan Zhu
https://arxiv.org/abs/2404.16195

A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd
Privacy-preserving AI algorithms are widely adopted in various domains, but the lack of transparency might pose accountability issues. While auditing algorithms can address this issue, machine-based audit approaches are often costly and time-consuming. Herd audit, on the other hand, offers an alternative solution by harnessing collective intelligence. Nevertheless, the presence of epistemic disparity among auditors, resulting in varying levels of expertise and access to knowledge, may impact au…

This https://arxiv.org/abs/2204.00994 has been replaced.
link: https://scholar.google.com/scholar?q=a

Convergence of the Planewave Approximations for Quantum Incommensurate Systems
Incommensurate structures arise from stacking single layers of low-dimensional materials on top of one another with misalignment such as an in-plane twist in orientation. While these structures are of significant physical interest, they pose many theoretical challenges due to the loss of periodicity. In this paper, we characterize the density of states of Schrödinger operators in the weak sense for the incommensurate system and develop novel numerical methods to approximate them. In particular…

This https://arxiv.org/abs/2308.10001 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization
Neural Radiance Fields (NeRF) have shown promise in generating realistic novel views from sparse scene images. However, existing NeRF approaches often encounter challenges due to the lack of explicit 3D supervision and imprecise camera poses, resulting in suboptimal outcomes. To tackle these issues, we propose AltNeRF -- a novel framework designed to create resilient NeRF representations using self-supervised monocular depth estimation (SMDE) from monocular videos, without relying on known came…

A Situated-Infrastructuring of WhatsApp for Business in India
Ankolika De
https://arxiv.org/abs/2404.16124 https://arxiv.org/pdf/2404…

A Situated-Infrastructuring of WhatsApp for Business in India
WhatsApp has become a pivotal communication tool in India, transcending cultural boundaries and deeply integrating into the nation's digital landscape. Meta's introduction of WhatsApp for Business aligns seamlessly with the platform's popularity, offering businesses a crucial tool. However, the monetization plans pose challenges, particularly for smaller businesses, in balancing revenue goals with accessibility. This study, employing discourse analysis, examines Meta's infrastructuring of Whats…

Android TVs Can Expose User Email Inboxes https://www.404media.co/android-tvs-can-expose-user-email-inboxes/

Android TVs Can Expose User Email Inboxes
An attacker requires physical access, but it’s possible to sideload Chrome onto some Android TVs which then gives access to the users’ email inbox. Google says it’s now fixing the issue.

Goofer Troopers
Coming to a lawsuit near you!
#AIart #MidJourneyArt #MidjourneyAI

This https://arxiv.org/abs/2302.07433 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems
Knowledge about the own pose is key for all mobile robot applications. Thus pose estimation is part of the core functionalities of mobile robots. Over the last two decades, LiDAR scanners have become the standard sensor for robot localization and mapping. This article aims to provide an overview of recent progress and advancements in LiDAR-based global localization. We begin by formulating the problem and exploring the application scope. We then present a review of the methodology, including re…

This https://arxiv.org/abs/2403.06054 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Decoupled Data Consistency with Diffusion Purification for Image Restoration
Diffusion models have recently gained traction as a powerful class of deep generative priors, excelling in a wide range of image restoration tasks due to their exceptional ability to model data distributions. To solve image restoration problems, many existing techniques achieve data consistency by incorporating additional likelihood gradient steps into the reverse sampling process of diffusion models. However, the additional gradient steps pose a challenge for real-world practical applications …

Was darf Satire?
#TrachtMan #Superhelden #Comics #Bayern

This https://arxiv.org/abs/2401.00670 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Hybrid physics-informed metabolic cybergenetics: process rates augmented with machine-learning surrogates informed by flux balance analysis
Metabolic cybergenetics is a promising concept that interfaces gene expression and cellular metabolism with computers for real-time dynamic metabolic control. The focus is on control at the transcriptional level, serving as a means to modulate intracellular metabolic fluxes. Recent strategies in this field have employed constraint-based dynamic models for process optimization, control, and estimation. However, this results in bilevel dynamic optimization problems, which pose considerable numeri…

Fasciné par les images en live de la coulée de lave Š côté de #grindavik . Je me pose la question, Š quelle distance de la coulée faudrait-il mettre des merguez, saucisses ou autre pour les cuire Š point sans que ça devienne instantanément du charbon? #eruption

Interactive Visual Learning for Stable Diffusion
Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng, Austin Wright, Kevin Li, Haekyu Park, Haoyang Yang, Polo Chau
https://arxiv.org/abs/2404.16069

Interactive Visual Learning for Stable Diffusion
Diffusion-based generative models' impressive ability to create convincing images has garnered global attention. However, their complex internal structures and operations often pose challenges for non-experts to grasp. We introduce Diffusion Explainer, the first interactive visualization tool designed to elucidate how Stable Diffusion transforms text prompts into images. It tightly integrates a visual overview of Stable Diffusion's complex components with detailed explanations of their underlyi…

This https://arxiv.org/abs/2404.16012 has been replaced.
link: https://scholar.google.com/scholar?q=a

GaussianTalker: Real-Time High-Fidelity Talking Head Synthesis with Audio-Driven 3D Gaussian Splatting
We propose GaussianTalker, a novel framework for real-time generation of pose-controllable talking heads. It leverages the fast rendering capabilities of 3D Gaussian Splatting (3DGS) while addressing the challenges of directly controlling 3DGS with speech audio. GaussianTalker constructs a canonical 3DGS representation of the head and deforms it in sync with the audio. A key insight is to encode the 3D Gaussian attributes into a shared implicit feature representation, where it is merged with au…

Looking back and forward: A retrospective and future directions on Software Engineering for systems-of-systems
Everton Cavalcante, Thais Batista, Flavio Oquendo
https://arxiv.org/abs/2403.16740

Looking back and forward: A retrospective and future directions on Software Engineering for systems-of-systems
Modern systems are increasingly connected and more integrated with other existing systems, giving rise to systems-of-systems (SoS). An SoS consists of a set of independent, heterogeneous systems that interact to provide new functionalities and accomplish global missions through emergent behavior manifested at runtime. The distinctive characteristics of SoS, when contrasted to traditional systems, pose significant research challenges within Software Engineering. These challenges motivate the nee…

$\Delta$ADAPT-VQE: Toward Accurate Calculation of Excitation Energies on Quantum Computers for BODIPY Molecules With Application in Photodynamic Therapy
Anton Nyk\"anen, Leander Thiessen, Elsi-Mari Borrelli, Vijay Krishna, Stefan Knecht, Fabijan Pavo\v{s}evi\'c
https://arxiv.org/abs/2404.16149

$Δ$ADAPT-VQE: Toward Accurate Calculation of Excitation Energies on Quantum Computers for BODIPY Molecules With Application in Photodynamic Therapy
Quantum chemistry simulations offer a cost-effective way for computational design of BODIPY photosensitizers with potential use in photodynamic therapy (PDT). However, accurate predictions of photophysical properties, such as excitation energies, pose a challenge for the popular time-dependent density functional theory (TDDFT) and equation-of-motion coupled cluster with singles and doubles (EOM-CCSD) methods. By contrast, reliable descriptions can be achieved by multi-reference quantum chemistr…

This https://arxiv.org/abs/2401.07658 has been replaced.
link: https://scholar.google.com/scholar?q=a

Robustness Evaluation of Localization Techniques for Autonomous Racing
This work introduces SynPF, an MCL-based algorithm tailored for high-speed racing environments. Benchmarked against Cartographer, a state-of-the-art pose-graph SLAM algorithm, SynPF leverages synergies from previous particle-filtering methods and synthesizes them for the high-performance racing domain. Our extensive in-field evaluations reveal that while Cartographer excels under nominal conditions, it struggles when subjected to wheel-slip, a common phenomenon in a racing scenario due to varyi…

""Assuming all renewable development locates on [some of Alberta's best] land, the percentage of [such] agricultural land loss is estimated to be less than one per cent by 2041," says the Alberta Utilities Commission report, released Wednesday."
Bam. 💥
#climate #DanielleSmith

Cameras as Rays: Pose Estimation via Ray Diffusion
Jason Y. Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani
https://arxiv.org/abs/2402.14817

Cameras as Rays: Pose Estimation via Ray Diffusion
Estimating camera poses is a fundamental task for 3D reconstruction and remains challenging given sparse views (<10). In contrast to existing approaches that pursue top-down prediction of global parametrizations of camera extrinsics, we propose a distributed representation of camera pose that treats a camera as a bundle of rays. This representation allows for a tight coupling with spatial image features improving pose precision. We observe that this representation is naturally suited for set-le…

An analysis of 200M student papers submitted over the past year: ~11% of papers showed signs of AI help and ~3% of papers contained at least 80% AI writing (Pilita Clark/Financial Times)
https://t.co/jZtLPXWl08

Hmmm. Made me think about the Chinese banning crypto in a new light. Pentagon Officials Watching a Chinese-Owned Bitcoin Mine in Wyoming: NYT https://www.businessinsider.com/pentagon-chinese-owned-bitcoin-operation-cheyenne-wy…

Pentagon officials watching a Chinese-owned Bitcoin mine in Wyoming: NYT
Microsoft relayed concerns to the US government that a Cheyenne, Wyoming, Bitcoin mining operation could pose a national security threat.

This https://arxiv.org/abs/2301.03553 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

FedDebug: Systematic Debugging for Federated Learning Applications
In Federated Learning (FL), clients independently train local models and share them with a central aggregator to build a global model. Impermissibility to access clients' data and collaborative training make FL appealing for applications with data-privacy concerns, such as medical imaging. However, these FL characteristics pose unprecedented challenges for debugging. When a global model's performance deteriorates, identifying the responsible rounds and clients is a major pain point. Developers …

Good to repeat. The logic is clear.
"A victorious Russia that succeeds in its aim of destroying Ukraine entirely, on the other hand, will pose a major conventional military threat to NATO in a relatively short period of time. It will be much harder to deter future Russian aggression and both more difficult and far more costly to defeat it if deterrence fails. "

New phone, new camera, new silly photos

LLMChain: Blockchain-based Reputation System for Sharing and Evaluating Large Language Models
Mouhamed Amine Bouchiha, Quentin Telnoff, Souhail Bakkali, Ronan Champagnat, Mourad Rabah, Micka\"el Coustaty, Yacine Ghamri-Doudane
https://arxiv.org/abs/2404.13236

LLMChain: Blockchain-based Reputation System for Sharing and Evaluating Large Language Models
Large Language Models (LLMs) have witnessed rapid growth in emerging challenges and capabilities of language understanding, generation, and reasoning. Despite their remarkable performance in natural language processing-based applications, LLMs are susceptible to undesirable and erratic behaviors, including hallucinations, unreliable reasoning, and the generation of harmful content. These flawed behaviors undermine trust in LLMs and pose significant hurdles to their adoption in real-world applic…

CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation
Vuong D. Nguyen, Shishir K. Shah
https://arxiv.org/abs/2402.14454 h…

CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation
Long-term Person Re-Identification (LRe-ID) aims at matching an individual across cameras after a long period of time, presenting variations in clothing, pose, and viewpoint. In this work, we propose CCPA: Contrastive Clothing and Pose Augmentation framework for LRe-ID. Beyond appearance, CCPA captures body shape information which is cloth-invariant using a Relation Graph Attention Network. Training a robust LRe-ID model requires a wide range of clothing variations and expensive cloth labeling,…

This https://arxiv.org/abs/2401.17463 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Group Theoretic Metric for Robot State Estimation Leveraging Chebyshev Interpolation
We propose a new metric for robot state estimation based on the recently introduced $\text{SE}_2(3)$ Lie group definition. Our metric is related to prior metrics for SLAM but explicitly takes into account the linear velocity of the state estimate, improving over current pose-based trajectory analysis. This has the benefit of providing a single, quantitative metric to evaluate state estimation algorithms against, while being compatible with existing tools and libraries. Since ground truth data g…

Android TVs Can Expose User Email Inboxes https://www.404media.co/android-tvs-can-expose-user-email-inboxes/

Android TVs Can Expose User Email Inboxes
An attacker requires physical access, but it’s possible to sideload Chrome onto some Android TVs which then gives access to the users’ email inbox. Google says it’s now fixing the issue.

This https://arxiv.org/abs/2401.15996 has been replaced.
link: https://scholar.google.com/scholar?q=a

AccessLens: Auto-detecting Inaccessibility of Everyday Objects
In our increasingly diverse society, everyday physical interfaces often present barriers, impacting individuals across various contexts. This oversight, from small cabinet knobs to identical wall switches that can pose different contextual challenges, highlights an imperative need for solutions. Leveraging low-cost 3D-printed augmentations such as knob magnifiers and tactile labels seems promising, yet the process of discovering unrecognized barriers remains challenging because disability is co…

This https://arxiv.org/abs/2110.07953 has been replaced.
link: https://scholar.google.com/scholar?q=a

Attention-based Estimation and Prediction of Human Intent to augment Haptic Glove aided Control of Robotic Hand
The letter focuses on Haptic Glove (HG) based control of a Robotic Hand (RH) executing in-hand manipulation of certain objects of interest. The high dimensional motion signals in HG and RH possess intrinsic variability of kinematics resulting in difficulty to establish a direct mapping of the motion signals from HG onto the RH. An estimation mechanism is proposed to quantify the motion signal acquired from the human controller in relation to the intended goal pose of the object being held by th…

Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer
Kepeng Xu, Li Xu, Gang He, Wenxin Yu, Yunsong Li
https://arxiv.org/abs/2404.13640 <…

Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer
Multiple complex degradations are coupled in low-quality video faces in the real world. Therefore, blind video face restoration is a highly challenging ill-posed problem, requiring not only hallucinating high-fidelity details but also enhancing temporal coherence across diverse pose variations. Restoring each frame independently in a naive manner inevitably introduces temporal incoherence and artifacts from pose changes and keypoint localization errors. To address this, we propose the first bli…

Budanov warns Russian railway in occupied Ukraine can pose 'a serious problem’: https://benborges.xyz/2024/03/31/budanov-warns-russian.html

Russia Says Macron's Hawkish Statements Pose 'Strategic Problem' (Ania Nussbaum/Bloomberg)
https://www.bloomberg.com/news/articles/2024-04-07/russia-says-macron-s-hawkish-statements-pose-strategic-problem
http://www.memeorandum.com/240407/p10#a240407p10

Ukraine races to manufacture weapons at home
Ukrainian officials say they cannot disclose exact figures about their manufacturing output because of security concerns. But a laundry list of constraints — from lacking adequate financing to finding enough gunpowder — is preventing Ukrainian industry from ramping up production.

“Our state budget is not enough,” said Oleksandr Zavitnevych, head of the Committee on National Security, Defense and Intelligence in the Ukrainian parliament…

Ukraine races to manufacture weapons at home
Ukraine had virtually no domestic weapons industry when Russia invaded and the country is quickly ramping up production but lack of money and a shortage of gunpowder pose challenges.

"Corcoran took potentially incriminating notes about the classified documents stashed at the Mar-a-Lago country club — and federal prosecutors have obtained them."
Trump's loss of 'critical' lawyer 'could pose a significant issue for' ex-president: CNN - Raw Story
https://www.

This https://arxiv.org/abs/2311.13226 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models
We introduce an approach to building a custom model from ready-made self-supervised models via their associating instead of training and fine-tuning. We demonstrate it with an example of a humanoid robot looking at the mirror and learning to detect the 3D pose of its own body from the image it perceives. To build our model, we first obtain features from the visual input and the postures of the robot's body via models prepared before the robot's operation. Then, we map their corresponding latent…

VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning
Jingyao Li, Pengguang Chen, Xuan Ju, Hong Xu, Jiaya Jia
https://arxiv.org/abs/2402.14456

VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning
Thanks to advances in deep learning techniques, Human Pose Estimation (HPE) has achieved significant progress in natural scenarios. However, these models perform poorly in artificial scenarios such as painting and sculpture due to the domain gap, constraining the development of virtual reality and augmented reality. With the growth of model size, retraining the whole model on both natural and artificial data is computationally expensive and inefficient. Our research aims to bridge the domain ga…

The intricate path of energy conservation in Quantum Mechanics: exploring Coherent Population Return and laser-matter interaction
\'Alvaro Peralta Conde
https://arxiv.org/abs/2402.14443

The intricate path of energy conservation in Quantum Mechanics: exploring Coherent Population Return and laser-matter interaction
This manuscript explores how a seemingly straightforward inquiry, emerging from the widely accepted semiclassical description of laser-matter interaction, concretely from a well-known adiabatic technique as Coherent Population Return (CPR), can pose a challenge to our comprehension of a fundamental principle in Physics like energy conservation. Throughout our investigation to resolve this apparent paradox, we have delved into fundamental concepts, thereby deepening our understanding of the aspe…

New phone, new camera, new silly photos

Identifying Challenges in Designing, Developing and Evaluating Data Visualizations for Large Displays
Mahsa Sinaei Hamed, Pak Kwan, Matthew Klich, Jillian Aurisano, Fateme Rajabiyazdi
https://arxiv.org/abs/2403.14802

Identifying Challenges in Designing, Developing and Evaluating Data Visualizations for Large Displays
With the growth of data sizes, visualizing them becomes more complex. Desktop displays are insufficient for presenting and collaborating on complex data visualizations. Large displays could provide the necessary space to demo or present complex data visualizations. However, designing and developing visualizations for such displays pose distinct challenges. Identifying these challenges is essential for researchers, designers, and developers in the field of data visualization. In this study, we a…

This https://arxiv.org/abs/2308.04956 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Improved cryo-EM Pose Estimation and 3D Classification through Latent-Space Disentanglement
Due to the extremely low signal-to-noise ratio (SNR) and unknown poses (projection angles and image shifts) in cryo-electron microscopy (cryo-EM) experiments, reconstructing 3D volumes from 2D images is very challenging. In addition to these challenges, heterogeneous cryo-EM reconstruction requires conformational classification. In popular cryo-EM reconstruction algorithms, poses and conformation classification labels must be predicted for every input cryo-EM image, which can be computationally…

This https://arxiv.org/abs/2402.09581 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Combatting deepfakes: Policies to address national security threats and rights violations
This paper provides policy recommendations to address threats from deepfakes. First, we provide background information about deepfakes and review the harms they pose. We describe how deepfakes are currently used to proliferate sexual abuse material, commit fraud, manipulate voter behavior, and pose threats to national security. Second, we review previous legislative proposals designed to address deepfakes. Third, we present a comprehensive policy proposal that focuses on addressing multiple par…

Tribes Meeting With Inter-American Commission on Human Rights Describe Harms Uranium Mining Has Had on Them, and the Threats New Mines Pose - Inside Climate News
https://insideclimatenews.org/news/10032024/southwest-uranium-mining-harms-tribes/…

Tribes Meeting With Inter-American Commission on Human Rights Describe Harms Uranium Mining Has Had on Them, and the Threats New Mines Pose - Inside Climate News
As spiking uranium prices drive a surge of proposals for new mines, the Navajo Nation joined the Ute Mountain Ute, Havasupai, Northern Arapaho and Oglala Sioux tribes in a commission hearing with federal officials to push back against mining on and near their lands.

This https://arxiv.org/abs/2307.00593 has been replaced.
link: https://scholar.google.com/scholar?q=a

Isolating Compiler Bugs by Generating Effective Witness Programs with Large Language Models
Compiler bugs pose a significant threat to safety-critical applications, and promptly as well as effectively isolating these bugs is crucial for assuring the quality of compilers. However, the limited availability of debugging information on reported bugs complicates the compiler bug isolation task. Existing compiler bug isolation approaches convert the problem into a test program mutation problem, but they are still limited by ineffective mutation strategies or high human effort requirements. …

HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
Changkun Liu, Shuai Chen, Yukun Zhao, Huajian Huang, Victor Prisacariu, Tristan Braud
https://arxiv.org/abs/2402.14371

HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
Absolute Pose Regressors (APRs) directly estimate camera poses from monocular images, but their accuracy is unstable for different queries. Uncertainty-aware APRs provide uncertainty information on the estimated pose, alleviating the impact of these unreliable predictions. However, existing uncertainty modelling techniques are often coupled with a specific APR architecture, resulting in suboptimal performance compared to state-of-the-art (SOTA) APR methods. This work introduces a novel APR-agno…

This https://arxiv.org/abs/2307.00593 has been replaced.
link: https://scholar.google.com/scholar?q=a

Isolating Compiler Bugs by Generating Effective Witness Programs with Large Language Models
Compiler bugs pose a significant threat to safety-critical applications, and promptly as well as effectively isolating these bugs is crucial for assuring the quality of compilers. However, the limited availability of debugging information on reported bugs complicates the compiler bug isolation task. Existing compiler bug isolation approaches convert the problem into a test program mutation problem, but they are still limited by ineffective mutation strategies or high human effort requirements. …

This https://arxiv.org/abs/2308.04956 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Improved cryo-EM Pose Estimation and 3D Classification through Latent-Space Disentanglement
Due to the extremely low signal-to-noise ratio (SNR) and unknown poses (projection angles and image shifts) in cryo-electron microscopy (cryo-EM) experiments, reconstructing 3D volumes from 2D images is very challenging. In addition to these challenges, heterogeneous cryo-EM reconstruction requires conformational classification. In popular cryo-EM reconstruction algorithms, poses and conformation classification labels must be predicted for every input cryo-EM image, which can be computationally…

An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation
Zewen Xu, Yijia He, Hao Wei, Bo Xu, BinJian Xie, Yihong Wu
https://arxiv.org/abs/2403.11639

An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation
Line features are valid complements for point features in man-made environments. 3D-2D constraints provided by line features have been widely used in Visual Odometry (VO) and Structure-from-Motion (SfM) systems. However, how to accurately solve three-view relative motion only with 2D observations of points and lines in real time has not been fully explored. In this paper, we propose a novel three-view pose solver based on rotation-translation decoupled estimation. First, a high-precision rotati…

An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation
Zewen Xu, Yijia He, Hao Wei, Bo Xu, BinJian Xie, Yihong Wu
https://arxiv.org/abs/2403.11639

An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation
Line features are valid complements for point features in man-made environments. 3D-2D constraints provided by line features have been widely used in Visual Odometry (VO) and Structure-from-Motion (SfM) systems. However, how to accurately solve three-view relative motion only with 2D observations of points and lines in real time has not been fully explored. In this paper, we propose a novel three-view pose solver based on rotation-translation decoupled estimation. First, a high-precision rotati…

Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation
Peter H\"onig, Stefan Thalhammer, Markus Vincze
https://arxiv.org/abs/2402.06436

Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation
Estimating 2D-3D correspondences between RGB images and 3D space is a fundamental problem in 6D object pose estimation. Recent pose estimators use dense correspondence maps and Point-to-Point algorithms to estimate object poses. The accuracy of pose estimation depends heavily on the quality of the dense correspondence maps and their ability to withstand occlusion, clutter, and challenging material properties. Currently, dense correspondence maps are estimated using image-to-image translation mo…

This https://arxiv.org/abs/2401.01657 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Distributed Pose-graph Optimization with Multi-level Partitioning for Collaborative SLAM
The back-end module of Distributed Collaborative Simultaneous Localization and Mapping (DCSLAM) requires solving a nonlinear Pose Graph Optimization (PGO) under a distributed setting, also known as SE(d)-synchronization. Most existing distributed graph optimization algorithms employ a simple sequential partitioning scheme, which may result in unbalanced subgraph dimensions due to the different geographic locations of each robot, and hence imposes extra communication load. Moreover, the performa…

Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
Axel Barroso-Laguna, Sowmya Munukutla, Victor Adrian Prisacariu, Eric Brachmann
https://arxiv.org/abs/2404.06337

Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
Given two images, we can estimate the relative camera pose between them by establishing image-to-image correspondences. Usually, correspondences are 2D-to-2D and the pose we estimate is defined only up to scale. Some applications, aiming at instant augmented reality anywhere, require scale-metric pose estimates, and hence, they rely on external depth estimators to recover the scale. We present MicKey, a keypoint matching pipeline that is able to predict metric correspondences in 3D camera space…

Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas
E. Sherafat, B. Farooq
https://arxiv.org/abs/2402.10077

Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas
Over the last decade, Autonomous Delivery Robots (ADRs) have transformed conventional delivery methods, responding to the growing e-commerce demand. However, the readiness of ADRs to navigate safely among pedestrians in shared urban areas remains an open question. We contend that there are crucial research gaps in understanding their interactions with pedestrians in such environments. Human Pose Estimation is a vital stepping stone for various downstream applications, including pose prediction …

This https://arxiv.org/abs/2311.18107 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Stochastic-Geometrical Framework for Object Pose Estimation based on Mixture Models Avoiding the Correspondence Problem
Background: Pose estimation of rigid objects is a practical challenge in optical metrology and computer vision. This paper presents a novel stochastic-geometrical modeling framework for object pose estimation based on observing multiple feature points. Methods: This framework utilizes mixture models for feature point densities in object space and for interpreting real measurements. Advantages are the avoidance to resolve individual feature correspondences and to incorporate correct stochastic…

This https://arxiv.org/abs/2402.19315 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

On the Existence of Static Equilibria of a Cable-Suspended Load with Non-stopping Flying Carriers
This work answers positively the question whether non-stop flights are possible for maintaining constant the pose of cable-suspended objects. Such a counterintuitive answer paves the way for a paradigm shift where energetically efficient fixed-wing flying carriers can replace the inefficient multirotor carriers that have been used so far in precise cooperative cable-suspended aerial manipulation. First, we show that one or two flying carriers alone cannot perform non-stop flights while mainta…

S^2Former-OR: Single-Stage Bimodal Transformer for Scene Graph Generation in OR
Jialun Pei, Diandian Guo, Jingyang Zhang, Manxi Lin, Yueming Jin, Pheng-Ann Heng
https://arxiv.org/abs/2402.14461

S^2Former-OR: Single-Stage Bimodal Transformer for Scene Graph Generation in OR
Scene graph generation (SGG) of surgical procedures is crucial in enhancing holistically cognitive intelligence in the operating room (OR). However, previous works have primarily relied on the multi-stage learning that generates semantic scene graphs dependent on intermediate processes with pose estimation and object detection, which may compromise model efficiency and efficacy, also impose extra annotation burden. In this study, we introduce a novel single-stage bimodal transformer framework f…

This https://arxiv.org/abs/2310.14402 has been replaced.
link: https://scholar.google.com/scholar?q=a

Value of Assistance for Grasping
In multiple realistic settings, a robot is tasked with grasping an object without knowing its exact pose and relies on a probabilistic estimation of the pose to decide how to attempt the grasp. We support settings in which it is possible to provide the robot with an observation of the object before a grasp is attempted but this possibility is limited and there is a need to decide which sensing action would be most beneficial. We support this decision by offering a novel Value of Assistance (VOA…

Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot
Fabien Baradel, Matthieu Armando, Salma Galaaoui, Romain Br\'egier, Philippe Weinzaepfel, Gr\'egory Rogez, Thomas Lucas
https://arxiv.org/abs/2402.14654

Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot
We present Multi-HMR, a strong single-shot model for multi-person 3D human mesh recovery from a single RGB image. Predictions encompass the whole body, i.e, including hands and facial expressions, using the SMPL-X parametric model and spatial location in the camera coordinate system. Our model detects people by predicting coarse 2D heatmaps of person centers, using features produced by a standard Vision Transformer (ViT) backbone. It then predicts their whole-body pose, shape and spatial locati…

ToolEENet: Tool Affordance 6D Pose Estimation
Yunlong Wang, Lei Zhang, Yuyang Tu, Hui Zhang, Kaixin Bai, Zhaopeng Chen, Jianwei Zhang
https://arxiv.org/abs/2404.04193

ToolEENet: Tool Affordance 6D Pose Estimation
The exploration of robotic dexterous hands utilizing tools has recently attracted considerable attention. A significant challenge in this field is the precise awareness of a tool's pose when grasped, as occlusion by the hand often degrades the quality of the estimation. Additionally, the tool's overall pose often fails to accurately represent the contact interaction, thereby limiting the effectiveness of vision-guided, contact-dependent activities. To overcome this limitation, we present the in…

ToolEENet: Tool Affordance 6D Pose Estimation
Yunlong Wang, Lei Zhang, Yuyang Tu, Hui Zhang, Kaixin Bai, Zhaopeng Chen, Jianwei Zhang
https://arxiv.org/abs/2404.04193

ToolEENet: Tool Affordance 6D Pose Estimation
The exploration of robotic dexterous hands utilizing tools has recently attracted considerable attention. A significant challenge in this field is the precise awareness of a tool's pose when grasped, as occlusion by the hand often degrades the quality of the estimation. Additionally, the tool's overall pose often fails to accurately represent the contact interaction, thereby limiting the effectiveness of vision-guided, contact-dependent activities. To overcome this limitation, we present the in…

Increasing SLAM Pose Accuracy by Ground-to-Satellite Image Registration
Yanhao Zhang, Yujiao Shi, Shan Wang, Ankit Vora, Akhil Perincherry, Yongbo Chen, Hongdong Li
https://arxiv.org/abs/2404.09169

Increasing SLAM Pose Accuracy by Ground-to-Satellite Image Registration
Vision-based localization for autonomous driving has been of great interest among researchers. When a pre-built 3D map is not available, the techniques of visual simultaneous localization and mapping (SLAM) are typically adopted. Due to error accumulation, visual SLAM (vSLAM) usually suffers from long-term drift. This paper proposes a framework to increase the localization accuracy by fusing the vSLAM with a deep-learning-based ground-to-satellite (G2S) image registration method. In this framew…