Burhaneddin Yaman

64 papers A* 5A 2Misc 1Journal 36Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reconstruction Matters: Learning Geometry-Aligned BEV Representation through 3D Gaussian Splatting. CoRR Yiren Lu, Xin Ye, Burhaneddin Yaman, Jingru Luo, Zhexiao Xiong, Liu Ren, Yu Yin
2026	J	`jnl`	UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving. CoRR Zhexiao Xiong, Xin Ye, Burhaneddin Yaman, Sheng Cheng, Yiren Lu, Jingru Luo, Nathan Jacobs, Liu Ren
2025	—	`conf`	A Self-Validation Metric for Referenceless Image Quality Assessment of Computational Imaging Algorithms. IEEECONF Pranav Salapaka, Yasar Utku Alçalar, Burhaneddin Yaman, Mehmet Akçakaya
2025	J	`jnl`	ALN-P3: Unified Language Alignment for Perception, Prediction, and Planning in Autonomous Driving. CoRR Yunsheng Ma, Burhaneddin Yaman, Xin Ye, Mahmut Yurt, Jingru Luo, Abhirup Mallik, Ziran Wang, Liu Ren
2025	A*	`conf`	AdaWM: Adaptive World Model based Planning for Autonomous Driving. ICLR Hang Wang, Xin Ye, Feng Tao, Chenbin Pan, Abhirup Mallik, Burhaneddin Yaman, Liu Ren, Junshan Zhang
2025	J	`jnl`	AdaWM: Adaptive World Model based Planning for Autonomous Driving. CoRR Hang Wang, Xin Ye, Feng Tao, Chenbin Pan, Abhirup Mallik, Burhaneddin Yaman, Liu Ren, Junshan Zhang
2025	A*	`conf`	BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance. CVPR Xin Ye, Burhaneddin Yaman, Sheng Cheng, Feng Tao, Abhirup Mallik, Liu Ren
2025	J	`jnl`	BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance. CoRR Xin Ye, Burhaneddin Yaman, Sheng Cheng, Feng Tao, Abhirup Mallik, Liu Ren
2025	A	`conf`	LORD: Large Models Based Opposite Reward Design for Autonomous Driving. WACV Xin Ye, Feng Tao, Abhirup Mallik, Burhaneddin Yaman, Liu Ren
2025	J	`jnl`	LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving. CoRR Mahmut Yurt, Xin Ye, Yunsheng Ma, Jingru Luo, Abhirup Mallik, John Pauly, Burhaneddin Yaman, Liu Ren
2025	—	`conf`	Position: Prospective of Autonomous Driving - Multimodal LLMs, World Models, Embodied Intelligence, AI Alignment, and Mamba. WACV (Workshops) Yunsheng Ma, Wenqian Ye, Can Cui, Haiming Zhang, Shuo Xing, Fucai Ke, Jinhong Wang, Chenglin Miao, Jintai Chen, Hamid Rezatofighi, Zhen Li, Guangtao Zheng, Chao Zheng, Tianjiao He, Manmohan Chandraker, Burhaneddin Yaman, Xin Ye, Hang Zhao, Xu Cao
2024	A*	`conf`	CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow. CVPR Chenbin Pan, Burhaneddin Yaman, Senem Velipasalar, Liu Ren
2024	J	`jnl`	CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow. CoRR Chenbin Pan, Burhaneddin Yaman, Senem Velipasalar, Liu Ren
2024	J	`jnl`	LORD: Large Models based Opposite Reward Design for Autonomous Driving. CoRR Xin Ye, Feng Tao, Abhirup Mallik, Burhaneddin Yaman, Liu Ren
2024	J	`jnl`	MTA: Multimodal Task Alignment for BEV Perception and Captioning. CoRR Yunsheng Ma, Burhaneddin Yaman, Xin Ye, Feng Tao, Abhirup Mallik, Ziran Wang, Liu Ren
2024	—	`conf`	PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference. ECCV (23) Tanvir Mahmud, Burhaneddin Yaman, Chun-Hao Liu, Diana Marculescu
2024	J	`jnl`	PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference. CoRR Tanvir Mahmud, Burhaneddin Yaman, Chun-Hao Liu, Diana Marculescu
2024	A	`conf`	SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations. WACV Tanvir Mahmud, Chun-Hao Liu, Burhaneddin Yaman, Diana Marculescu
2024	A*	`conf`	VLP: Vision Language Planning for Autonomous Driving. CVPR Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro Gabriele Allievi, Senem Velipasalar, Liu Ren
2024	J	`jnl`	VLP: Vision Language Planning for Autonomous Driving. CoRR Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro Gabriele Allievi, Senem Velipasalar, Liu Ren
2023	J	`jnl`	Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models. CoRR Valentino Assandri, Sam Heshmati, Burhaneddin Yaman, Anton Iakovlev, Ariel Emiliano Repetur
2023	—	`conf`	High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning. NER Ömer Burak Demirel, Steen Moeller, Luca Vizioli, Burhaneddin Yaman, Logan Dowdle, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya
2023	—	`conf`	High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI. EMBC Ömer Burak Demirel, Chi Zhang, Burhaneddin Yaman, Merve Gülle, Chetan Shenoy, Tim Leiner, Peter Kellman, Mehmet Akçakaya
2023	J	`jnl`	Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection. CoRR Burhaneddin Yaman, Tanvir Mahmud, Chun-Hao Liu
2023	J	`jnl`	Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. IEEE Signal Process. Mag. Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
2023	J	`jnl`	SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations. CoRR Tanvir Mahmud, Chun-Hao Liu, Burhaneddin Yaman, Diana Marculescu
2023	—	`conf`	Ultra-Sonic Sensor based Object Detection for Autonomous Vehicles. CVPR Workshops Tommaso Nesti, Santhosh Boddana, Burhaneddin Yaman
2022	J	`jnl`	Accelerated MRI With Deep Linear Convolutional Transform Learning. CoRR Hongyi Gu, Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya
2022	—	`conf`	Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. ISBI Chi Zhang, Davide Piccini, Ömer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akçakaya
2022	J	`jnl`	Object Detection for Autonomous Dozers. CoRR Chun-Hao Liu, Burhaneddin Yaman
2022	J	`jnl`	Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. CoRR Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
2022	—	`conf`	Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI. EMBC Ömer Burak Demirel, Burhaneddin Yaman, Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya
2022	J	`jnl`	Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. IEEE Signal Process. Mag. Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
2022	A*	`conf`	Zero-Shot Self-Supervised Learning for MRI Reconstruction. ICLR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
2021	—	`conf`	20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. EMBC Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	J	`jnl`	20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. CoRR Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	—	`conf`	Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools. EMBC Hongyi Gu, Burhaneddin Yaman, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya
2021	—	`conf`	Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases. ACSCC Zilin Deng, Burhaneddin Yaman, Chi Zhang, Steen Moeller, Mehmet Akçakaya
2021	J	`jnl`	End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction. CoRR Ruiyang Zhao, Yuxin Zhang, Burhaneddin Yaman, Matthew P. Lungren, Michael S. Hansen
2021	—	`conf`	Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI. ISBI Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2021	—	`conf`	Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. ACSCC Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	J	`jnl`	Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. CoRR Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	Misc	`conf`	Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. ICASSP Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
2021	—	`conf`	Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. ACSCC Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
2021	J	`jnl`	On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. CoRR Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
2021	J	`jnl`	Scan-Specific MRI Reconstruction using Zero-Shot Physics-Guided Deep Learning. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
2021	—	`conf`	Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR. ISBI Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
2021	J	`jnl`	Unsupervised Deep Learning Methods for Biological Image Reconstruction. CoRR Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
2021	J	`jnl`	fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data. CoRR Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael S. Hansen, Matthew P. Lungren
2020	J	`jnl`	Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. IEEE J. Sel. Top. Signal Process. Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
2020	—	`conf`	High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. EMBC Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya
2020	J	`jnl`	High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. CoRR Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya
2020	J	`jnl`	Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
2020	J	`jnl`	Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T IEEE Trans. Computational Imaging Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya
2020	J	`jnl`	Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2020	J	`jnl`	Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
2020	—	`conf`	Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. ISBI Workshops Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Chi Zhang, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya
2020	—	`conf`	Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. ISBI Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2020	J	`jnl`	Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR. CoRR Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
2019	J	`jnl`	Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. CoRR Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
2019	J	`jnl`	Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2019	J	`jnl`	Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2017	—	`conf`	Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI. CAMSAP Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya
2017	—	`conf`	Unified outage performance analysis of two-way/one-way full-duplex/half-duplex fixed-gain AF relay systems. ICT Asil Koç, Ibrahim Altunbas, Burhaneddin Yaman