activity
20242026
most citedAllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Unifying Video Tasks via Spatiotemporal Analogy

Chia-Hsiang Kao, Belinda Zeng, Bharath Hariharan +1

Adapting video models to new tasks typically requires dedicated data curation and fine-tuning. While visual analogy provides a training-free alternative by specifying tasks in-cont…

cs.CV2026

ynamics: Language-Based Representation for Inferring Rigid-Body Dynamics From Videos

Chia-Hsiang Kao, Cong Phuoc Huynh, Chien-Yi Wang +5

Inferring rigid-body physical states and properties from monocular videos is a fundamental step toward physics-based perception and simulation. Existing approaches assume specific…

cs.AI2025

Towards LLM Agents for Earth Observation

Chia Hsiang Kao, Wenting Zhao, Cheryl Lam +10

Earth Observation (EO) provides critical planetary data for environmental monitoring, disaster management, climate science, and other scientific domains. In this work we ask: Are A…

cs.CV2024★ 1 cited

AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery

Hangyu Zhou, Chia-Hsiang Kao, Cheng Perng Phoo +3

Clouds in satellite imagery pose a significant challenge for downstream applications. A major challenge in current cloud removal research is the absence of a comprehensive benchmar…

cs.LG2024

Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning

Chia-Hsiang Kao, Bharath Hariharan

Despite its widespread use in neural networks, error backpropagation has faced criticism for its lack of biological plausibility, suffering from issues such as the backward locking…