148 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Carnegie Mellon UniversityUS9 papers
- Ben-Gurion University of the NegevIL5 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- ETH ZurichCH5 papers
- University of TorontoCA4 papers
- Chalmers University of TechnologySE3 papers
- Tsinghua UniversityCN3 papers
- University of Hong KongHK3 papers
- University of Illinois Urbana-ChampaignUS3 papers
- Aalto UniversityFI2 papers
- Adobe Systems (United States)US2 papers
- Columbia UniversityUS2 papers
19 papers · 1 filter
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare
Martin Cífka, Georgy Ponimatkin, Yann Labbé +4
We introduce FocalPose++, a neural render-and-compare method for jointly estimating the camera-object 6D pose and camera focal length given a single RGB input image depicting a kno…
iMagLS: Interaural Level Difference with Magnitude Least-Squares Loss for Optimized First-Order Head-Related Transfer Function
Or Berebi, Zamir Ben-Hur, David Lou Alon +1
Binaural reproduction for headphone-based listening is an active research area due to its widespread use in evolving technologies such as augmented and virtual reality (AR and VR).…
Minireview on Disordered Optical Metasurfaces
P. Lalanne, A. Dmitriev, C. Rockstuhl +2
The use of coherent wave phenomena to enhance device performance is a cornerstone of modern optics. In juxtaposition to (locally) periodic metasurfaces, their disordered counterpar…
Neural Stress Fields for Reduced-order Elastoplasticity and Fracture
Zeshun Zong, Xuan Li, Minchen Li +6
We propose a hybrid neural network and physics framework for reduced-order modeling of elastoplasticity and fracture. State-of-the-art scientific computing models like the Material…
LLM-FP4: 4-Bit Floating-Point Quantized Transformers
Shih-yang Liu, Zechun Liu, Xijie Huang +2
We propose LLM-FP4 for quantizing both weights and activations in large language models (LLMs) down to 4-bit floating-point values, in a post-training manner. Existing post-trainin…
MOCHA: Real-Time Motion Characterization via Context Matching
Deok-Kyeong Jang, Yuting Ye, Jungdam Won +1
Transforming neutral, characterless input motions to embody the distinct style of a notable character in real time is highly compelling for character animation. This paper introduc…
Drivable Avatar Clothing: Faithful Full-Body Telepresence with Dynamic Clothing Driven by Sparse RGB-D Input
Donglai Xiang, Fabian Prada, Zhe Cao +4
Clothing is an important part of human appearance but challenging to model in photorealistic avatars. In this work we present avatars with dynamically moving loose clothing that ca…
Robust Indoor Localization with Ranging-IMU Fusion
Fan Jiang, David Caruso, Ashutosh Dhekne +3
Indoor wireless ranging localization is a promising approach for low-power and high-accuracy localization of wearable devices. A primary challenge in this domain stems from non-lin…
BodyFormer: Semantics-guided 3D Body Gesture Synthesis with Transformer
Kunkun Pang, Dafei Qin, Yingruo Fan +4
Automatic gesture synthesis from speech is a topic that has attracted researchers for applications in remote communication, video games and Metaverse. Learning the mapping between…
User Training with Error Augmentation for Electromyogram-based Gesture Classification
Yunus Bicer, Niklas Smedemark-Margulies, Basak Celik +7
We designed and tested a system for real-time control of a user interface by extracting surface electromyographic (sEMG) activity from eight electrodes in a wrist-band configuratio…
Motion In-Betweening with Phase Manifolds
Paul Starke, Sebastian Starke, Taku Komura +1
This paper introduces a novel data-driven motion in-betweening system to reach target poses of characters by making use of phases variables learned by a Periodic Autoencoder. Our a…
Social network modeling and applications, a tutorial
Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi
Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…
QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors
Sunmin Lee, Sebastian Starke, Yuting Ye +2
Replicating a user's pose from only wearable sensors is important for many AR/VR applications. Most existing methods for motion tracking avoid environment interaction apart from fo…
AudioDec: An Open-source Streaming High-fidelity Neural Audio Codec
Yi-Chiao Wu, Israel D. Gebru, Dejan Marković +1
A good audio codec for live applications such as telecommunication is characterized by three key properties: (1) compression, i.e.\ the bitrate that is required to transmit the sig…
Metalens Enhanced Ray Optics: An End-to-End Wave-Ray Co-Optimization Framework
Ziwei Zhu, Zhaocheng Liu, Changxi Zheng
We present a fully differentiable framework for seamlessly integrating wave optical components with geometrical lenses, offering an approach to enhance the performance of large-sca…
XAIR: A Framework of Explainable AI in Augmented Reality
Xuhai Xu, Mengjie Yu, Tanya R. Jonker +15
Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the rol…
Event Fusion Photometric Stereo Network
Wonjeong Ryoo, Giljoo Nam, Jae-Sang Hyun +1
We present a novel method to estimate the surface normal of an object in an ambient light environment using RGB and event cameras. Modern photometric stereo methods rely on an RGB…
Perceptual Requirements for World-Locked Rendering in AR and VR
Phillip Guan, Eric Penner, Joel Hegland +2
Stereoscopic, head-tracked display systems can show users realistic, world-locked virtual objects and environments. However, discrepancies between the rendering pipeline and physic…
Neural Shadow Mapping
Sayantan Datta, Derek Nowrouzezahrai, Christoph Schied +1
We present a neural extension of basic shadow mapping for fast, high quality hard and soft shadows. We compare favorably to fast pre-filtering shadow mapping, all while producing v…