Author

H. Rasheed

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Preprint Sep 2026

Hard Vision, Easy Vision: What GPT-6 Astra Reveals Across Computer Vision

Frontier general-purpose systems are rapidly expanding beyond visual understanding into capabilities traditionally handled by dedicated computer-vision models. As these capabilities expand, a central question for the computer-vision community is how far this reach extends, and what remains hard. We evaluate GPT-6 Astra...

H. Rasheed, Mohammed Irfan Kurpath, Bin Ren et al. · 1 citation

Preprint Aug 2026

Locate Anything in Videos: Rethinking Efficient Generative Spatio-Temporal Video Grounding

Spatio-temporal video grounding (STVG) requires models to identify when a referred event occurs and localize the target entity throughout that interval. Existing multimodal large language models typically serialize dense localization trajectories autoregressively, causing decoding latency to grow with tube length and a...

H. Rasheed, H. Siddiqui, Ming-Hsuan Yang et al. · 0 citations

Preprint Aug 2026

Training-Free Speech-Centric Omni Understanding with Frozen VLMs

Training-Free Omni is introduced, a plug-and-play framework that converts a frozen VLM into a speech-centric omni model without architectural modification, or multimodal re-alignment, and shows that strong speech-centric omni understanding can often be obtained through modular audio-to-language routing rather than cost...

Ankan Deria, H. Rasheed, Xi-Lin He et al. · 0 citations