565 citations · 943 across the 50 of their papers we have counts for
38 papers · 1 filter
Task-Induced Riemannian Metrics for Vision Transformer Feature Spaces
Andrew Bond, Ege Erdem Özlü, Tuna Çimen +4
Methods operating on Vision Transformer (ViT) feature spaces typically rely on Euclidean distance or cosine similarity. This assumes that every direction is equally meaningful, but…
SLICEChat: Progressive In-Encoder Token Pruning for Whole-Slide Pathology Language Models
Ali Kerem Bozkurt, Baris Cem Bakay, Ibrahim Kulac +3
Whole-slide pathology images (WSIs) contain gigapixel-scale visual content, creating a major scalability challenge for slide-level multimodal large language models (MLLMs). Existin…
BeyondMasks: Evaluating Causal and Physical Consistency in Video Object Removal
Yigit Ekin, Enes Sanli, Aykut Erdem +2
Recent advances in generative video models have significantly improved visual realism in video object removal, yet evaluation protocols still focus on masked region fidelity, treat…
EeveeDark: A Binary Neural Framework for Low-Light Video Enhancement via Event-Guided Sensor-Level Fusion
Onur Eker, Erkut Erdem, Aykut Erdem
Enhancing videos under extreme low-light conditions remains challenging due to the difficulty of balancing restoration quality and computational efficiency in resource-constrained…
Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation
Muhammed Burak Kizil, Enes Sanli, Niloy J. Mitra +4
Generative video models have achieved remarkable visual fidelity and temporal coherence, yet intentional camera control remains elusive. Existing frameworks treat camera motion as…
Beyond Gaussian Bottlenecks: Topologically Aligned Encoding of Vision-Transformer Feature Spaces
Andrew Bond, Ilkin Umut Melanlioglu, Erkut Erdem +1
Modern visual world modeling systems increasingly rely on high-capacity architectures and large-scale data to produce plausible motion, yet they often fail to preserve underlying 3…
LAMP: Language-Assisted Motion Planning for Controllable Video Generation
Muhammed Burak Kizil, Enes Sanli, Niloy J. Mitra +3
Video generation has achieved remarkable progress in visual fidelity and controllability, enabling conditioning on text, layout, or motion. Among these, motion control - specifying…
Spherical Vision Transformers for Audio-Visual Saliency Prediction in 360-Degree Videos
Mert Cokelek, Halit Ozsoy, Nevrez Imamoglu +4
Omnidirectional videos (ODVs) are redefining viewer experiences in virtual reality (VR) by offering an unprecedented full field-of-view (FOV). This study extends the domain of sali…
TanDiT: Tangent-Plane Diffusion Transformer for High-Quality 360° Panorama Generation
Hakan Çapuk, Andrew Bond, Muhammed Burak Kızıl +3
Recent advances in image generation have led to remarkable improvements in synthesizing perspective images. However, these models still struggle with panoramic image generation due…
A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features
Enes Karanfil, Nevrez Imamoglu, Erkut Erdem +1
Scene understanding in remote sensing often faces challenges in generating accurate representations for complex environments such as various land use areas or coastal regions, whic…
GaussianVideo: Efficient Video Representation via Hierarchical Gaussian Splatting
Andrew Bond, Jui-Hsien Wang, Long Mai +2
Efficient neural representations for dynamic video scenes are critical for applications ranging from video compression to interactive simulations. Yet, existing methods often face…
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation
Abdul Basit Anees, Ahmet Canberk Baykal, Muhammed Burak Kizil +3
Generative Adversarial Networks (GANs), particularly StyleGAN and its variants, have demonstrated remarkable capabilities in generating highly realistic images. Despite their succe…
HUE Dataset: High-Resolution Event and Frame Sequences for Low-Light Vision
Burak Ercan, Onur Eker, Aykut Erdem +1
Low-light environments pose significant challenges for image enhancement methods. To address these challenges, in this work, we introduce the HUE dataset, a comprehensive collectio…
CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models
Yigit Ekin, Ahmet Burak Yildirim, Erdem Eren Caglar +3
Advanced image editing techniques, particularly inpainting, are essential for seamlessly removing unwanted elements while preserving visual integrity. Traditional GAN-based methods…
SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models
Burak Can Biner, Farrin Marouf Sofian, Umur Berkay Karakaş +3
We are witnessing a revolution in conditional image synthesis with the recent success of large scale text-to-image generation methods. This success also opens up new opportunities…
Spherical Vision Transformer for 360-degree Video Saliency Prediction
Mert Cokelek, Nevrez Imamoglu, Cagri Ozcinar +2
The growing interest in omnidirectional videos (ODVs) that capture the full field-of-view (FOV) has gained 360-degree saliency prediction importance in computer vision. However, pr…
CLIP-Guided StyleGAN Inversion for Text-Driven Real Image Editing
Ahmet Canberk Baykal, Abdul Basit Anees, Duygu Ceylan +3
Researchers have recently begun exploring the use of StyleGAN-based models for real image editing. One particularly interesting application is using natural language descriptions t…
HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks
Burak Ercan, Onur Eker, Canberk Saglam +2
Event-based cameras are becoming increasingly popular for their ability to capture high-speed motion with low latency and high dynamic range. However, generating videos from events…
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction
Burak Ercan, Onur Eker, Aykut Erdem +1
Event cameras are a new type of vision sensor that incorporates asynchronous and independent pixels, offering advantages over traditional frame-based cameras such as high dynamic r…
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs
Moayed Haji Ali, Andrew Bond, Tolga Birdal +4
We propose , a spatiotemporally continuous disentangled eo representation based upon GAN and Neural-s. Effective t…
Inst-Inpaint: Instructing to Remove Objects with Diffusion Models
Ahmet Burak Yildirim, Vedat Baday, Erkut Erdem +2
Image inpainting task refers to erasing unwanted pixels from images and filling them in a semantically consistent and realistic way. Traditionally, the pixels that are wished to be…
ST360IQ: No-Reference Omnidirectional Image Quality Assessment with Spherical Vision Transformers
Nafiseh Jabbari Tofighi, Mohamed Hedi Elfkir, Nevrez Imamoglu +3
Omnidirectional images, aka 360 images, can deliver immersive and interactive visual experiences. As their popularity has increased dramatically in recent years, evaluating the qua…
Disentangling Content and Motion for Text-Based Neural Video Manipulation
Levent Karacan, Tolga Kerimoğlu, İsmail İnan +3
Giving machines the ability to imagine possible new objects or scenes from linguistic descriptions and produce their realistic renderings is arguably one of the most challenging pr…
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan +2
Flow-based generative super-resolution (SR) models learn to produce a diverse set of feasible SR solutions, called the SR space. Diversity of SR solutions increases with the temper…