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cs.CV2026

Argos: Adapt Rich Geometric Priors for Generalizable Online Scene-Change-Detection

Ruihan Xu, Jiae Yoon, Kaichen Zhou +2

Robots operating in dynamic environments require reliable detection of how their surroundings change over time. Existing learning-based methods largely rely on pairwise 2D image fe…

cs.CV2026

C3-Bench: A Context-Aware Change Captioning Benchmark

Jae-Woo Kim, Hyeongbeom Kim, Ue-Hwan Kim

While Change Captioning systems have garnered substantial attention to respond to our evolving world, their true performance on diverse real-world change contexts remains largely u…

cs.CV2026

OP3DSG: Open-Vocabulary Part-Aware 3D Scene Graph Generation for Real-World Environments

Yirum Kim, Ue-Hwan Kim

3D scene graphs (3DSGs) provide a compact and structured abstraction of 3D environments. Although advances in foundation models have enabled open-vocabulary 3DSG generation, existi…

cs.CV2026

TERDNet: Transformer Encoder-Recurrent Decoder Network for Scene Change Detection

Jiae Yoon, Ue-Hwan Kim

In this work, we address the challenge of Scene Change Detection (SCD), where the goal is to identify variations between two images of the same location captured at different times…

cs.CV2026

VSCD: Video-based Scene Change Detection in Unaligned Scenes

Jiae Yoon, Ue-Hwan Kim

Detecting what has changed in an environment is essential for long-term autonomy, yet most change detection settings assume fixed viewpoints, mild misalignment, or only a few chang…

cs.CV2026

Context-Nav: Context-Driven Exploration and Viewpoint-Aware 3D Spatial Reasoning for Instance Navigation

Won Shik Jang, Ue-Hwan Kim

Text-goal instance navigation (TGIN) asks an agent to resolve a single, free-form description into actions that reach the correct object instance among same-category distractors. W…

cs.CV2024

Towards Generalizable Scene Change Detection

Jaewoo Kim, Uehwan Kim

While current state-of-the-art Scene Change Detection (SCD) approaches achieve impressive results in well-trained research data, they become unreliable under unseen environments an…