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cs.CV2026

Physics as the label for measuring and correcting materials reasoning in multimodal models

Hasan Kurban, Rasul Khanbayov, Mustafa Kurban

Vision-language and language models increasingly interpret materials data, yet benchmarks report that they hallucinate invalid properties and violate physical law. Evaluation match…

cs.CV2026

A Low Grounding Score Is Not an Ungrounded Judge: Identifying the Perceptibility Confound in Multimodal Oversight

Rasul Khanbayov, Hasan Kurban

Model judges now supervise multimodal systems at scale, filtering training data, selecting outputs, and supplying the reward that shapes multimodal reasoning models. Trusting one m…

cs.CV2026

PhysWeep: Does a Video Generator Realize the Physics You Ask For?

Rasul Khanbayov, Hasan Kurban

Image-to-video generators are often credited with absorbing physical dynamics as implicit world models, a claim the community currently checks with plausibility scores that ask whe…

cs.CV2026

One Perturbation Is Not Enough: Identifiability and Blind Baselines for Behavioral AI Evaluation

Rasul Khanbayov, Mariam Sohail, Ahmed Abdala +1

Behavioral evaluations perturb an input and read the induced change in the output in order to certify that a system uses that input. We show that the number of perturbations such a…

cs.CV2026

Accuracy and Cost Claims Do Not Survive Re-Execution in Agentic VideoQA

Rama AlHamidi, Aseel Mohamed, Rasul Khanbayov +3

Agentic Video Question Answering (VideoQA) systems produce answers through adaptive reasoning and tool-use trajectories, yet standard practice evaluates each system once and estima…

cs.CV2026

Counterfactual Sensitivity Is Not Repairability: Auditing Replay Probes for Video Evidence

Rama AlHamidi, Rasul Khanbayov, Erchin Serpedin +1

Tool-using video agents retrieve visual evidence before answering, but the final answer is not forced to depend on what was retrieved. The natural black box test is counterfactual:…

cs.CV2026

Conformal Coverage Guarantees for Any Video Temporal Grounder

Aseel Mohamed, Rasul Khanbayov, Erchin Serpedin +1

Event boundaries in continuous video are ambiguous: re-annotate the same query-video pair and independent annotators mark moments that overlap by less than half on a large fraction…

cs.CV2026

GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis

Rasul Khanbayov, Erchin Serpedin, Hasan Kurban

Prototype-based medical image classifiers present three clinical limitations: they treat findings as independent, silently amplify unsafe physician feedback, and require full retra…

cs.CV2026

4D Synchronized Fields: Motion-Language Gaussian Splatting for Temporal Scene Understanding

Mohamed Rayan Barhdadi, Samir Abdaljalil, Rasul Khanbayov +2

Current 4D representations decouple geometry, motion, and semantics: reconstruction methods discard interpretable motion structure; language-grounded methods attach semantics after…

cs.CV2026

IRIS: A Real-World Benchmark for Inverse Recovery and Identification of Physical Dynamic Systems from Monocular Video

Rasul Khanbayov, Mohamed Rayan Barhdadi, Erchin Serpedin +1

Unsupervised physical parameter estimation from video lacks a common benchmark: existing methods evaluate on non-overlapping synthetic data, the sole real-world dataset is restrict…

cs.CV2025

Automated Knot Detection and Pairing for Wood Analysis in the Timber Industry

Guohao Lin, Shidong Pan, Rasul Khanbayov +3

Knots in wood are critical to both aesthetics and structural integrity, making their detection and pairing essential in timber processing. However, traditional manual annotation wa…