6 papers
UniMark: Unified Adaptive Multi-bit Watermarking for Autoregressive Image Generators
Yigit Yilmaz, Elena Petrova, Mehmet Kaya +2
Invisible watermarking for autoregressive (AR) image generation has recently gained attention as a means of protecting image ownership and tracing AI-generated content. However, ex…
Efficient Test-Time Scaling for Small Vision-Language Models
Mehmet Onurcan Kaya, Desmond Elliott, Dim P. Papadopoulos
Small Vision-Language Models (VLMs) provide a computationally efficient alternative to larger models, at the cost of weaker generalization abilities and downstream task performance…
Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training
Kaixuan Lu, Mehmet Onurcan Kaya, Dim P. Papadopoulos
Video Instance Segmentation (VIS) faces significant annotation challenges due to its dual requirements of pixel-level masks and temporal consistency labels. While recent unsupervis…
Visual Autoregressive Models Beat Diffusion Models on Inference Time Scaling
Erik Riise, Mehmet Onurcan Kaya, Dim P. Papadopoulos
While inference-time scaling through search has revolutionized Large Language Models, translating these gains to image generation has proven difficult. Recent attempts to apply sea…
AutoQ-VIS: Improving Unsupervised Video Instance Segmentation via Automatic Quality Assessment
Kaixuan Lu, Mehmet Onurcan Kaya, Dim P. Papadopoulos
Video Instance Segmentation (VIS) faces significant annotation challenges due to its dual requirements of pixel-level masks and temporal consistency labels. While recent unsupervis…
POEM: Precise Object-level Editing via MLLM control
Marco Schouten, Mehmet Onurcan Kaya, Serge Belongie +1
Diffusion models have significantly improved text-to-image generation, producing high-quality, realistic images from textual descriptions. Beyond generation, object-level image edi…