AN17 - MS67-1: How to Improve Your Denoising Result Without Changing Your Denoising Algorithm Presentation: Marcelo BertalmÃo, Universitat Pompeu Fabra, Spain, 26 min 16 sec
AN17 - MS67-1: How to Improve Your Denoising Result Without Changing Your Denoising Algorithm Document: AN17 - MS67-1: How to Improve Your Denoising Result Without Changing Your Denoising Algorithm(PDF)
AN17 - MS67-2: RED: Regularization by Denoising: The Little Engine that Could Presentation: Yaniv Romano, Technion Israel Institute of Technology, Israel, 22 min 2 sec
AN17 - MS67-2: RED: Regularization by Denoising: The Little Engine that Could Document: AN17 - MS67-2: RED: Regularization by Denoising: The Little Engine that Could(PDF)
AN17 - MS67-4: Not Afraid of the Dark: NIR-VIS Face Recognition Via Cross-spectral Hallucination and Low-Rank Embedding Presentation: Qiang Qiu, Duke University, USA, 19 min 14 sec
AN17 - MS67-4: Not Afraid of the Dark: NIR-VIS Face Recognition Via Cross-spectral Hallucination and Low-Rank Embedding Document: AN17 - MS67-4: Not Afraid of the Dark: NIR-VIS Face Recognition Via Cross-spectral Hallucination and Low-Rank Embedding(PDF)