4.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Seoul National UniversityKR138 papers
- The University of TokyoJP133 papers
- Centre National de la Recherche ScientifiqueFR113 papers
- Pusan National UniversityKR110 papers
- Massachusetts Institute of TechnologyUS105 papers
- Korea Astronomy and Space Science InstituteKR104 papers
- California Institute of TechnologyUS99 papers
- Université Libre de BruxellesBE99 papers
- University of ChicagoUS99 papers
- National Astronomical Observatory of JapanJP97 papers
- Lomonosov Moscow State UniversityRU96 papers
- Universität HamburgDE94 papers
26 papers · 1 filter
Synthetic Realities: Evaluating Human Ability to Distinguish AIGenerated Videos from Real Footage
Danyal Sarfraz, Raja Mubashar Karim, KwanMyung Kim
Recent advances in generative AI have enabled multiple pathways for high-fidelity video synthesis: text-to-video, image-to-video animation, and video outpainting. Empirical side-by…
MIG-COW: Transferable Adversarial Attacks on Deepfake Detectors via Gradient Decomposition
Wonjune Seo, Joonhyuk Baek, Yeseong Jung +1
Despite recent advances, deepfake detectors remain vulnerable to adversarial examples, particularly in diverse, real-world settings. We propose MIG-COW, a novel adversarial attack…
AliO: Output Alignment Matters in Long-Term Time Series Forecasing
Kwangryeol Park, Jaeho Kim, Seulki Lee
Long-term Time Series Forecasting (LTSF) tasks, which leverage the current data sequence as input to predict the future sequence, have become increasingly crucial in real-world app…
Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing
Hojin Lee, Youngim Nam, Sanghun Lee +1
Autonomous racing confronts significant challenges in safely overtaking Opponent Vehicles (OVs) that exhibit uncertain trajectories, stemming from unknown driving policies. To addr…
Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation
Hojin Lee, Yunho Lee, Daniel A Duecker +1
Traversability prediction is a critical component of autonomous navigation in unstructured environments, where complex and uncertain robot-terrain interactions pose significant cha…
Concurrent daytime and nighttime heatwaves in the late 21st century over the CORDEX-East Asia phase 2 domain using multi-GCM and multi-RCM chains
Young-Hyun Kim, Joong-Bae Ahn, Myoung-Seok Suh +5
The adverse impacts of extreme heat on human health are greater when concurrent daytime and nighttime heatwaves (CDNHWs) occur than when daytime or nighttime heatwaves occur indivi…
Impact of extremely high temperature on future photovoltaic power potential over East Asia
Changyong Park, Ana Juzbasic, Dong-Hyun Cha +5
As global warming intensifies, the frequency and intensity of extremely high temperatures are expected to increase. This will impact the production of photovoltaics (PVs), which ar…
MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning
Ahmad Mousavi, Majid Alikhani, Yeon-Chang Lee +2
Multimodal Graph Neural Networks have become standard for recommendation by augmenting sparse interaction data with content features. Yet current architectures face two bottlenecks…
Added value of dynamical downscaling in sub-seasonal tropical cyclone forecast
Taehyung Kim, Eunji Kim, Haerin Park +2
Improving the sub-seasonal forecast of tropical cyclones (TCs) remains a significant challenge for climate models. This study evaluated the characteristics of tropical cyclones (TC…
Did recent sea surface temperature warming reinforce the extreme East Asian summer monsoon precipitation in 2020?
Taeho Mun, Haerin Park, Dong-Hyun Cha +3
We analyzed the possible effects of recent sea surface temperature (SST) warming on the extraordinary East Asian summer monsoon (EASM) precipitation in 2020 summer. The dynamic and…
Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data
Kiwan Kwon, Kangmin Kim, Hojin Lee +5
Synthetic sequential tabular data are increasingly used for privacy-preserving data sharing and research, yet conventional tabular metrics often overlook temporal structure. Existi…
RustGo: Fairly Directed Greybox Fuzzing for Enforcing Rust Memory Safety
Dongyeon Yu, Jiun Min, Yewan Na +3
Rust is a popular systems programming language that provides strong memory safety and introduces low-performance overhead. While Rust guarantees memory safety through strict securi…
Polar Coordinate-based Differential Evolution for Moving Target Search Using Vision Sensor on Unmanned Aerial Vehicles
Thu Hang Khuat, Duy-Nam Bui, Thuy Ngan Duong +1
In search and rescue operations, there is a period known as the "golden time" during which the probability of finding the target alive is highest. The objective of this work is to…
EPnG: Adaptive Expert Prune-and-Grow for Parameter-Efficient MoE Fine-tuning
Ahin Lee, Sehyun Yun, Taesik Gong
Mixture-of-Experts (MoE) models scale efficiently but remain costly to adapt due to redundant experts and uniform parameter allocation. Existing parameter-efficient fine-tuning (PE…
SVHighlights: Towards Extremely Long Sport Video Highlight Detection
Donggyu Lee, Youngbin Ki, Jeonghun Kang +1
While highlight detection for long-form videos is of great practical importance, most existing methods remain limited to short-form content, largely due to the absence of a suitabl…
Fast ion effects on the threshold conditions of ion temperature gradient mode and electron temperature gradient mode
Min Ki Jung, Taik Soo Hahm, Yong-Su Na +1
We investigate the fast ion effects on the threshold conditions of ion temperature gradient (ITG) mode and electron temperature gradient (ETG) mode both analytically and numericall…
Kinetically Arrested Twin-Domain State in Formamidinium Lead Iodide
Xia Liang, Milos Dubajic, Zezhu Zeng +4
Hybrid lead halide perovskites exhibit a delicate interplay between average crystallographic symmetry, local structural disorder and A-site orientational dynamics, giving rise to u…
GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1839
GW240925 and GW250207 are two loud gravitational-wave signals from binary black hole coalescences observed with network signal-to-noise ratios and , respectively…
Full-polarization millimeter wavelength variability of Sagittarius A* during the 2018 EHT campaign
Ezequiel Albentosa-Ruiz, Jasmin E. Washington, Nicola Marchili +272
Sagittarius A* (Srg A*), the supermassive black hole at the center of the Milky Way, provides a unique laboratory to study accretion dynamics and plasma processes near the event ho…
Cosmic ray mass composition measurement in the energy range from eV to eV observed with the TALE hybrid detector
Telescope Array Collaboration, R. U. Abbasi, T. Abu-Zayyad +126
We report on the cosmic ray mass composition measured by the Telescope Array Low-energy Extension (TALE) hybrid detector. The TALE detector consists of a fluorescence detector (FD)…
Narrowband searches for continuous gravitational waves from known pulsars in the first two parts of the fourth LIGO--Virgo--KAGRA observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1853
Rotating non-axisymmetric neutron stars (NSs) are promising sources for continuous gravitational waves (CWs). Such CWs can, if detected, inform us about the internal structure and…
Multi-TAP: Multi-criteria Target Adaptive Persona Modeling for Cross-Domain Recommendation
Daehee Kang, Yeon-Chang Lee
Cross-domain recommendation (CDR) aims to alleviate data sparsity by transferring knowledge across domains, yet existing methods primarily rely on coarse-grained behavioral signals…
Quiver-Invariant Dualities between Brane Tilings
Minsung Kho, Seong-Jin Lee, Rak-Kyeong Seong
We study pairs of 4d N=1 supersymmetric gauge theories that share the same vacuum moduli space and the same chiral field content, encoded by a common quiver, but differ in their su…
Conformal Defects in Neural Network Field Theories
Pietro Capuozzo, Brandon Robinson, Benjamin Suzzoni
Neural Network Field Theories (NN-FTs) represent a novel construction of arbitrary field theories, including those of conformal fields, through the specification of the network arc…