32 citations · 43 across the 5 of their papers we have counts for
8 papers
Test-Time Scaling with Diffusion Language Models via Reward-Guided Stitching
Roy Miles, Aysim Toker, Andreea-Maria Oncescu +3
Reasoning with large language models often benefits from generating multiple chains-of-thought, but existing aggregation strategies are typically trajectory-level (e.g., selecting…
A Benchmark for Deep Information Synthesis
Debjit Paul, Daniel Murphy, Milan Gritta +14
Large language model (LLM)-based agents are increasingly used to solve complex tasks involving tool use, such as web browsing, code execution, and data analysis. However, current e…
SATGround: A Spatially-Aware Approach for Visual Grounding in Remote Sensing
Aysim Toker, Andreea-Maria Oncescu, Roy Miles +2
Vision-language models (VLMs) are emerging as powerful generalist tools for remote sensing, capable of integrating information across diverse tasks and enabling flexible, instructi…
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé +1
We present G-MSM (Graph-based Multi-Shape Matching), a novel unsupervised learning approach for non-rigid shape correspondence. Rather than treating a collection of input poses as…
A Unified Framework for Implicit Sinkhorn Differentiation
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé +2
The Sinkhorn operator has recently experienced a surge of popularity in computer vision and related fields. One major reason is its ease of integration into deep learning framework…
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
Aysim Toker, Lukas Kondmann, Mark Weber +10
Earth observation is a fundamental tool for monitoring the evolution of land use in specific areas of interest. Observing and precisely defining change, in this context, requires b…