4 citations · 10 across the 11 of their papers we have counts for
11 papers
ImIR: Image-Instruction Tuning for All-in-One Image Restoration
Süleyman Aslan, Görkay Aydemir, Mısra Yavuz +5
Degradations vary widely across images, so a practical restoration system has to handle many degradation types with one model. A recent and effective recipe adapts a large pretrain…
Edit2Interp: Adapting Image Foundation Models from Spatial Editing to Video Frame Interpolation with Few-Shot Learning
Nasrin Rahimi, Mısra Yavuz, Burak Can Biner +6
Pre-trained image editing models exhibit strong spatial reasoning and object-aware transformation capabilities acquired from billions of image-text pairs, yet they possess no expli…
Real-World Point Tracking with Verifier-Guided Pseudo-Labeling
Görkay Aydemir, Fatma Güney, Weidi Xie
Models for long-term point tracking are typically trained on large synthetic datasets. The performance of these models degrades in real-world videos due to different characteristic…
Track-On2: Enhancing Online Point Tracking with Memory
Görkay Aydemir, Weidi Xie, Fatma Güney
In this paper, we consider the problem of long-term point tracking, which requires consistent identification of points across video frames under significant appearance changes, mot…
Online Long-term Point Tracking in the Foundation Model Era
Görkay Aydemir
Point tracking aims to identify the same physical point across video frames and serves as a geometry-aware representation of motion. This representation supports a wide range of ap…
Track-On: Transformer-based Online Point Tracking with Memory
Görkay Aydemir, Xiongyi Cai, Weidi Xie +1
In this paper, we consider the problem of long-term point tracking, which requires consistent identification of points across multiple frames in a video, despite changes in appeara…
Robust Bird's Eye View Segmentation by Adapting DINOv2
Merve Rabia Barın, Görkay Aydemir, Fatma Güney
Extracting a Bird's Eye View (BEV) representation from multiple camera images offers a cost-effective, scalable alternative to LIDAR-based solutions in autonomous driving. However,…
Can Visual Foundation Models Achieve Long-term Point Tracking?
Görkay Aydemir, Weidi Xie, Fatma Güney
Large-scale vision foundation models have demonstrated remarkable success across various tasks, underscoring their robust generalization capabilities. While their proficiency in tw…
Self-supervised Object-Centric Learning for Videos
Görkay Aydemir, Weidi Xie, Fatma Güney
Unsupervised multi-object segmentation has shown impressive results on images by utilizing powerful semantics learned from self-supervised pretraining. An additional modality such…
ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation
Görkay Aydemir, Adil Kaan Akan, Fatma Güney
Forecasting future trajectories of agents in complex traffic scenes requires reliable and efficient predictions for all agents in the scene. However, existing methods for trajector…
Trajectory Forecasting on Temporal Graphs
Görkay Aydemir, Adil Kaan Akan, Fatma Güney
Predicting future locations of agents in the scene is an important problem in self-driving. In recent years, there has been a significant progress in representing the scene and the…