Motion and Structure from Event-based Normal Flow

Kavli Affiliate: Yi Zhou | First 5 Authors: Zhongyang Ren, Bangyan Liao, Delei Kong, Jinghang Li, Peidong Liu | Summary: Recovering the camera motion and scene geometry from visual data is a fundamental problem in the field of computer vision. Its success in standard vision is attributed to the maturity of feature extraction, data association […]


Continue.. Motion and Structure from Event-based Normal Flow

2D Neural Fields with Learned Discontinuities

Kavli Affiliate: Matthew Fisher | First 5 Authors: Chenxi Liu, Siqi Wang, Matthew Fisher, Deepali Aneja, Alec Jacobson | Summary: Effective representation of 2D images is fundamental in digital image processing, where traditional methods like raster and vector graphics struggle with sharpness and textural complexity respectively. Current neural fields offer high-fidelity and resolution independence but […]


Continue.. 2D Neural Fields with Learned Discontinuities

OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zijian Zhou, Zheng Zhu, Holger Caesar, Miaojing Shi, | Summary: Panoptic Scene Graph Generation (PSG) aims to segment objects and recognize their relations, enabling the structured understanding of an image. Previous methods focus on predicting predefined object and relation categories, hence limiting their applications in the open […]


Continue.. OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models

Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates

Kavli Affiliate: Gang Su | First 5 Authors: Gang Su, Sun Yang, Zhishuai Li, , | Summary: The steam drum water level is a critical parameter that directly impacts the safety and efficiency of power plant operations. However, predicting the drum water level in boilers is challenging due to complex non-linear process dynamics originating from […]


Continue.. Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates

An infrared census of R Coronae Borealis Stars II — Spectroscopic classifications and implications for the rate of low-mass white dwarf mergers

Kavli Affiliate: Lars Bildsten | First 5 Authors: Viraj R. Karambelkar, Mansi M. Kasliwal, Patrick Tisserand, Shreya Anand, Michael C. B. Ashley | Summary: We present results from a systematic infrared (IR) census of R Coronae Borealis (RCB) stars in the Milky Way, using data from the Palomar Gattini IR (PGIR) survey. R Coronae Borealis […]


Continue.. An infrared census of R Coronae Borealis Stars II — Spectroscopic classifications and implications for the rate of low-mass white dwarf mergers

Information dynamics in decohered quantum memory with repeated syndrome measurements: a dual approach

Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Jacob Hauser, Yimu Bao, Shengqi Sang, Ali Lavasani, Utkarsh Agrawal | Summary: Measurements can detect errors in a decohered quantum memory allowing active error correction to increase the memory time. Previous understanding of this mechanism has focused on evaluating the performance of error correction algorithms […]


Continue.. Information dynamics in decohered quantum memory with repeated syndrome measurements: a dual approach

Event-Aided Time-to-Collision Estimation for Autonomous Driving

Kavli Affiliate: Yi Zhou | First 5 Authors: Jinghang Li, Bangyan Liao, Xiuyuan LU, Peidong Liu, Shaojie Shen | Summary: Predicting a potential collision with leading vehicles is an essential functionality of any autonomous/assisted driving system. One bottleneck of existing vision-based solutions is that their updating rate is limited to the frame rate of standard […]


Continue.. Event-Aided Time-to-Collision Estimation for Autonomous Driving

Optimization of noncollinear magnetic ordering temperature in Y-type hexaferrite by machine learning

Kavli Affiliate: Long Zhang | First 5 Authors: Yonghong Li, Jing Zhang, Linfeng Jiang, Long Zhang, Yugang Zhang | Summary: Searching the optimal doping compositions of the Y-type hexaferrite Ba2Mg2Fe12O22 remains a long-standing challenge for enhanced non-collinear magnetic transition temperature (TNC). Instead of the conventional trial-and-error approach, the composition-property descriptor is established via a data […]


Continue.. Optimization of noncollinear magnetic ordering temperature in Y-type hexaferrite by machine learning

Stochastic Traveling Salesperson Problem with Neighborhoods for Object Detection

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Minghan Wei, Volkan Isler, , | Summary: We introduce a new route-finding problem which considers perception and travel costs simultaneously. Specifically, we consider the problem of finding the shortest tour such that all objects of interest can be detected successfully. To represent a viable detection […]


Continue.. Stochastic Traveling Salesperson Problem with Neighborhoods for Object Detection