A. Murat Tekalp

Koç University — Turkey

Computer Science · Physical Sciences

63h-index14.7kcitations541works4.52yr avg
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Research Topics

Advanced Vision and Imaging(149), Video Coding and Compression Technologies(136), Advanced Image Processing Techniques(122), Image and Signal Denoising Methods(88), Image and Video Quality Assessment(86)

Publications539 total

Image-Difficulty-Aware Evaluation of Super-Resolution Models
arXiv (Cornell University)·2025Open Access
OracleGS: Grounding Generative Priors for Sparse-View Gaussian Splatting
arXiv (Cornell University)·2025Open Access
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
IEEE Transactions on Circuits and Systems for Video Technology·2025Open Access
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution
arXiv (Cornell University)·2025Open Access
Exploring Sparsity for Parameter Efficient Fine Tuning Using Wavelets
arXiv (Cornell University)·2025Open Access
FG-DFPN: Flow Guided Deformable Frame Prediction Network
arXiv (Cornell University)·2025Open Access
Content-Adaptive Inference for State-of-the-Art Learned Video Compression
IEEE Open Journal of Signal Processing·2025Open Access
Fluid Dynamics Measurements Using Deep Learning Based Optical Flow Models
SSRN Electronic Journal·2025Open Access
Trustworthy Sr: Resolving Ambiguity In Image Super-Resolution Via Diffusion Models And Human Feedback
2024· 1 cited
Paon: A New Neuron Model Using Padé Approximants
2024· 3 cited
Saliency-Aware End-to-End Learned Variable-Bitrate 360-Degree Image Compression
2024· 2 cited
Motion-Adaptive Inference for Flexible Learned B-Frame Compression
2024· 3 cited
The Practice of Averaging Rate-Distortion Curves over Testsets to Compare Learned Video Codecs Can Cause Misleading Conclusions
arXiv (Cornell University)·2024Open Access
Distributed virtual selective-forwarding units and SDN-assisted edge computing for optimization of multi-party WebRTC videoconferencing
Signal Processing Image Communication·2024
NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results
2024· 51 cited
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
2024· 15 cited
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
2024· 31 cited
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
arXiv (Cornell University)·2024· 1 citedOpen Access
NTIRE 2024 Challenge on Image Super-Resolution ($\times$4): Methods and Results
arXiv (Cornell University)·2024Open Access
A new multi-picture architecture for learned video deinterlacing and demosaicing with parallel deformable convolution and self-attention blocks
Image and Vision Computing·2024· 2 citedOpen Access
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Frequent Co-authors

M. Ibrahim Sezan(8), Eli Saber(6), M.U. Celik(4), Gaurav Sharma(4), M.K. Ozkan(4), Hilmi E. Egilmez(4), Y. Yemez(4), Engin Erzin(4), R. Mehrotra(3), S. Civanlar(3), H. Kaufman(3), A.M. Ferman(3), A. Tanju Erdem(3), Bilge Günsel(3), Y. Altunbasak(3), Ahmet Ekin(2), A.J. Patti(2), S.L. Dockstader(2), J. Woods(2), M.M.Y. Chang(2)