2 citations · 4 across the 15 of their papers we have counts for
7 papers · 1 filter
Certified Interface Aliases: Exact Collisions in Vision-Language Preprocessing, and When They Exist
Mert Onur Cakiroglu, Elham Buxton, Mehmet Dalkilic +1
Vision-language verifiers and routers must distinguish errors repairable by more reasoning from those caused by visual evidence never reaching the language model. This distinction…
Oracle Gaps in Reliability Coverage: Sampling Noise or Policy Specialization?
Mert Onur Cakiroglu, Mehmet Dalkilic, Hasan Kurban
Policies trained from the same base model can appear to solve different problems. An oracle that chooses the best policy for each problem may therefore appear much stronger than an…
Detect Early, Escalate Rarely: Anytime Detection of AI-Generated Video from the Compressed Bitstream
Mert Onur Cakiroglu, Mehmet Dalkilic, Hasan Kurban
Detectors for AI-generated video are evaluated offline. A clip is decoded to pixels and scored once, increasingly by a large vision-language model. Detection, however, is deployed…
Auditing Generalization in AI-Generated Video Detection: A Six-Control Protocol and the VidAudit Toolkit
Mert Onur Cakiroglu, Zhihe Lu, Mehmet Dalkilic +1
AI-generated video detection benchmarks such as GenVidBench and AIGVDBench are the de facto leaderboards, yet most evaluation protocols leave uncontrolled confounds that can inflat…
LGQ: Learnable Geometric Quantization for Image Tokenization
Idil Bilge Altun, Mert Onur Cakiroglu, Elham Buxton +2
Recent collapse-free quantizers such as FSQ achieve stable training by replacing the learnable codebook with an engineered geometry: a fixed scalar grid whose structure is dictated…
Temporal Realism Evaluation of Generated Videos Using Compressed-Domain Motion Vectors
Mert Onur Cakiroglu, Idil Bilge Altun, Zhihe Lu +2
Temporal realism remains a central weakness of current generative video models, as most evaluation metrics prioritize spatial appearance and offer limited sensitivity to motion. We…
Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning
Can Polat, Hasan Kurban, Erchin Serpedin +1
Evaluating foundation models for crystallographic reasoning requires benchmarks that isolate generalization behavior while enforcing physical constraints. This work introduces a mu…