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Binh-Son Hua

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#artificial intelligence Review Sep 2026

VisionQ: VLM-as-a-Judge Taxonomy, Dataset and Benchmark for Qualitative Analysis in Computer Vision

Qualitative comparison figures are central evidence in computer vision papers, and vision-language models (VLMs) are increasingly used to judge them. Yet existing benchmarks score only scalar quality or overall preference, so a judge can be rewarded for picking the preferred image for the wrong visual reason. We introd...

Xuân Định Vũ, Duc-Hai Nguyen, M. Dao et al. · 0 citations
#artificial intelligence Preprint Sep 2026

TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates

This paper proposes a method to address gradient vanishing with a piecewise truncated gradient formulation that improves the optimization stability and robustness to initializations and introduces a novel dataset for benchmarking dynamic Gaussian Splatting using synthetic 3D scenes.

Théo Morales, Nhat-Quynh Le-Pham, Robin Atkins et al. · 0 citations
Preprint Jul 2026

Track the Noise, Move the World:3D-Grounded Motion-Consistent Noise for Controllable Video Generation

UniCaMo is presented, a unified framework that enables simultaneous control of object trajectories and camera viewpoints by directly constructing the input noise of the diffusion model and achieves state-of-the-art results in both video quality and motion controllability on standard controllable video generation benchm...

Long Vu, T. Ngô, Animesh Karnewar et al. · 0 citations

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