Adil Kaan Akan

Orcid: 0000-0003-0022-7224

According to our database1, Adil Kaan Akan authored at least 15 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion.
CoRR, May, 2026

Aligning Latent Geometry for Spherical Flow Matching in Image Generation.
CoRR, May, 2026

2025
Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout.
CoRR, November, 2025

Learning Object-Centric Representations Based on Slots in Real World Scenarios.
CoRR, September, 2025

Compositional Video Synthesis by Temporal Object-Centric Learning.
CoRR, July, 2025

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023
ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation.
Signal Image Video Process., 2022

Stochastic Future Prediction in Real World Driving Scenarios.
CoRR, 2022

Trajectory Forecasting on Temporal Graphs.
CoRR, 2022

Stochastic Video Prediction with Structure and Motion.
CoRR, 2022

StretchBEV: Stretching Future Instance Prediction Spatially and Temporally.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
SLAMP: Stochastic Latent Appearance and Motion Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Just Noticeable Difference for Machines to Generate Adversarial Images.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019


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