papers

Publications (23)

astro-ph.HE2023

A broadband X-ray study of the Rabbit pulsar wind nebula powered by PSR J1418-6058

Jaegeun Park, Chanho Kim, Jooyun Woo +4

We report on broadband X-ray properties of the Rabbit pulsar wind nebula (PWN) associated with the pulsar PSR J1418-6058 using archival Chandra and XMM-Newton data, and a new NuSTA…

cs.RO2024

Point Cloud Models Improve Visual Robustness in Robotic Learners

Skand Peri, Iain Lee, Chanho Kim +3

Visual control policies can encounter significant performance degradation when visual conditions like lighting or camera position differ from those seen during training -- often ex…

cs.RO2024

Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models

Yixuan Huang, Jialin Yuan, Chanho Kim +4

Robots need to have a memory of previously observed, but currently occluded objects to work reliably in realistic environments. We investigate the problem of encoding object-orient…

astro-ph.HE2023

X-ray characterization of the pulsar PSR J18490001 and its wind nebula G32.64+0.53 associated with TeV sources detected by H.E.S.S., HAWC, Tibet AS, and LHAASO

Chanho Kim, Jaegeun Park, Jooyun Woo +6

We report on the X-ray emission properties of the pulsar PSR J18490001 and its wind nebula (PWN), as measured by Chandra, XMM-Newton, NICER, Swift, and NuSTAR. In the X-ray data…

astro-ph.HE2025

X-ray studies of PSR J18380655 and its wind nebula associated with HESS J1837069 and 1LHAASO J18370654u

Minseo Park, Jaegeun Park, Chanho Kim +1

We analyzed X-ray data from Chandra, XMM-Newton, NICER, and NuSTAR to characterize the properties of the pulsar PSR J18380655 and its pulsar wind nebula (PWN) associated with HE…

cs.CV2024

Long-Term 3D Point Tracking By Cost Volume Fusion

Hung Nguyen, Chanho Kim, Rigved Naukarkar +1

Long-term point tracking is essential to understand non-rigid motion in the physical world better. Deep learning approaches have recently been incorporated into long-term point tra…

cs.RO2024

Learning Vision-Based Bipedal Locomotion for Challenging Terrain

Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde +4

Reinforcement learning (RL) for bipedal locomotion has recently demonstrated robust gaits over moderate terrains using only proprioceptive sensing. However, such blind controllers…

cs.CV2023

Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation

Jialin Yuan, Jay Patravali, Hung Nguyen +2

Unsupervised Video Object Segmentation (UVOS) aims at discovering objects and tracking them through videos. For accurate UVOS, we observe if one can locate precise segment proposal…

cs.CV2021

Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking

Chanho Kim, Li Fuxin, Mazen Alotaibi +1

In multi-object tracking, the tracker maintains in its memory the appearance and motion information for each object in the scene. This memory is utilized for finding matches betwee…

cs.CV2024

Object Dynamics Modeling with Hierarchical Point Cloud-based Representations

Chanho Kim, Li Fuxin

Modeling object dynamics with a neural network is an important problem with numerous applications. Most recent work has been based on graph neural networks. However, physics happen…

cs.CV2026

Learning a Particle Dynamics Model with Real-world Videos

Chanho Kim, Suhas V. Sumukh, Li Fuxin

Data-driven learning approaches for physics simulation, sometimes referred to as world models, have emerged as promising alternatives to traditional physics simulators due to their…

cs.RO2026

3D Point World Models: Point Completion Enables More Accurate Dynamics Learning

Skand Peri, Hung Nguyen, Chanho Kim +2

Learning predictive models of the world enables robotic control through planning, potentially allowing robots to improvise solutions on new tasks. However, large video-based dynami…

cs.LG2026

Sparsely-Supervised Data Assimilation via Physics-Informed Schrödinger Bridge

Dohyun Bu, Chanho Kim, Seokun Choi +1

Data assimilation (DA) for systems governed by partial differential equations (PDE) aims to reconstruct full spatiotemporal fields from sparse high-fidelity (HF) observations while…

astro-ph.HE2023

The High Energy X-ray Probe (HEX-P): Supernova remnants, pulsar wind nebulae, and nuclear astrophysics

Stephen Reynolds, Hongjun An, Moaz Abdelmaguid +29

HEX-P is a probe-class mission concept that will combine high spatial resolution X-ray imaging ( full width at half maximum) and broad spectral coverage (0.2--80 keV) with an…

astro-ph.HE2024

Revisiting the Intrabinary Shock Model for Millisecond Pulsar Binaries: Radiative Losses and Long-Term Variability

Jaegeun Park, Chanho Kim, Hongjun An +1

Spectrally hard X-ray emission with double-peak light curves (LCs) and orbitally modulated gamma rays have been observed in some millisecond pulsar binaries, phenomena attributed t…

astro-ph.HE2023

The High Energy X-ray Probe (HEX-P): Galactic PeVatrons, star clusters, superbubbles, microquasar jets, and gamma-ray binaries

Kaya Mori, Stephen Reynolds, Hongjun An +32

HEX-P is a probe-class mission concept that will combine high spatial resolution X-ray imaging (<10" FWHM) and broad spectral coverage (0.2-80 keV) with an effective area far super…

cs.CV2025

GS4: Generalizable Sparse Splatting Semantic SLAM

Mingqi Jiang, Chanho Kim, Chen Ziwen +1

Traditional SLAM algorithms excel at camera tracking, but typically produce incomplete and low-resolution maps that are not tightly integrated with semantics prediction. Recent wor…

cs.CV2022

Space Time Recurrent Memory Network

Hung Nguyen, Chanho Kim, Fuxin Li

Transformers have recently been popular for learning and inference in the spatial-temporal domain. However, their performance relies on storing and applying attention to the featur…

cs.CV2026

Learning Adversarial Augmentation Policies for Robust Garlic Seedling Detection

Soeun Lee, Chanho Kim, Yeji Kang +2

Accurate seedling detection during early growth stages is essential for timely replanting and effective crop management in precision agriculture. However, existing studies are most…

astro-ph.HE2025

Multi-wavelength Study of HESS J0632+057: New Insights into Pulsar-Disk Interaction

Jaegeun Park, Hongjun An, Chanho Kim +60

We present an analysis of new multi-wavelength observations of the TeV gamma-ray binary HESS J0632+057, conducted using SALT, Swift, NuSTAR, and VERITAS in 2023--2024. By combining…

astro-ph.HE2024

Investigation of the non-thermal X-ray emission from the supernova remnant CTB 37B hosting the magnetar CXOU J171405.7381031

Chanho Kim, Jaegeun Park, Hongjun An +4

We present a detailed X-ray investigation of a region (S1) exhibiting non-thermal X-ray emission within the supernova remnant (SNR) CTB 37B hosting the magnetar CXOU J171405.738…

cs.CV2020

2018 Robotic Scene Segmentation Challenge

Max Allan, Satoshi Kondo, Sebastian Bodenstedt +38

In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward ki…

astro-ph.HE2023

X-ray studies of the pulsar PSR J1420-6048 and its TeV pulsar wind nebula in the Kookaburra region

Jaegeun Park, Chanho Kim, Jooyun Woo +4

We present a detailed analysis of broadband X-ray observations of the pulsar PSR J1420-6048 and its wind nebula (PWN) in the Kookaburra region with Chandra, XMM-Newton, and NuSTAR.…