Search Results - "Kayhan, Semih"

On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location by Semih Kayhan, Osman, van Gemert, Jan C.

“…In this paper we challenge the common assumption that convolutional layers in modern CNNs are translation invariant. We show that CNNs can and will exploit the…”
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Impact of small molecule‐mediated inhibition of ammonia detoxification on lung malignancies and liver metabolism by Makris, Georgios, Kayhan, Semih, Kreuzer, Marvin, Rüfenacht, Véronique, Faccin, Erica, Underhaug, Jarl, Diez‐Fernandez, Carmen, Knobel, Philip A., Poms, Martin, Gougeard, Nadine, Rubio, Vicente, Martinez, Aurora, Pruschy, Martin, Häberle, Johannes

“…Abbreviations ADP adenosine diphosphate ARG1 arginase 1 ASL argininosuccinate lyase ASS1 argininosuccinate synthetase 1 BIC bicarbonate phosphorylation domain…”
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ROLE OF ECTOPIC EXPRESSION OF UREA CYCLE ENZYMES IN COMMON MALIGNANCIES by Makris, Georgios, Kayhan, Semih, Kreuzer, Marvin, Rüfenacht, Véronique, Faccin, Erica, Underhaug, Jarl, Diez-Fernandez, Carmen, Knobel, Philip A., Poms, Martin, Martinez, Aurora, Pruschy, Martin, Häberle, Johannes

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Pratik bilgiler ve çok sorulanlarla imar hukuku: Sadık Semih Kayhan ; editör, Bengü Belli by Kayhan, Sadık Semih, Belli, Bengü

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A Novel Automatic Rapid Diagnostic Test Reader Platform by Ozkan, Haydar, Kayhan, Osman Semih

“…A novel automatic Rapid Diagnostic Test (RDT) reader platform is designed to analyze and diagnose target disease by using existing consumer cameras of a…”
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Hallucination In Object Detection - A Study In Visual Part VERIFICATION by Kayhan, Osman Semih, Vredebregt, Bart, van Gemert, Jan C.

“…We show that object detectors can hallucinate and detect missing objects; potentially even accurately localized at their expected, but non-existing, position…”
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PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations by Zia, Noor Ul Sehr, Kayhan, Osman Semih, Gemert, Jan van

“…Popular approaches to classifying action segments in long, realistic, untrimmed videos start with high quality action proposals. Current action proposal…”
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Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions by Pytel, Rafal, Kayhan, Osman Semih, van Gemert, Jan C.

“…Occlusion degrades the performance of human pose estimation. In this paper, we introduce targeted keypoint and body part occlusion attacks. The effects of the…”
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Evaluating Context for Deep Object Detectors by Kayhan, Osman Semih, van Gemert, Jan C

“…Which object detector is suitable for your context sensitive task? Deep object detectors exploit scene context for recognition differently. In this paper, we…”
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VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges by Bruintjes, Robert-Jan, Lengyel, Attila, Rios, Marcos Baptista, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, van Gemert, Jan

“…The fourth edition of the "VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning" workshop features two data-impaired challenges. These challenges…”
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On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location by Kayhan, Osman Semih, van Gemert, Jan C

“…In this paper we challenge the common assumption that convolutional layers in modern CNNs are translation invariant. We show that CNNs can and will exploit the…”
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Hallucination In Object Detection -- A Study In Visual Part Verification by Kayhan, Osman Semih, Vredebregt, Bart, van Gemert, Jan C

“…We show that object detectors can hallucinate and detect missing objects; potentially even accurately localized at their expected, but non-existing, position…”
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t-EVA: Time-Efficient t-SNE Video Annotation by Poorgholi, Soroosh, Kayhan, Osman Semih, van Gemert, Jan C

“…Video understanding has received more attention in the past few years due to the availability of several large-scale video datasets. However, annotating…”
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VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges by Bruintjes, Robert-Jan, Lengyel, Attila, Rios, Marcos Baptista, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, van Gemert, Jan

“…The third edition of the "VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning" workshop featured four data-impaired challenges, focusing on…”
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Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions by Pytel, Rafal, Kayhan, Osman Semih, van Gemert, Jan C

“…Occlusion degrades the performance of human pose estimation. In this paper, we introduce targeted keypoint and body part occlusion attacks. The effects of the…”
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Automatic reading of helicobacter pylori tests via tablet computer by Ozkan, Haydar, Kayhan, Osman Semih

“…Rapid Diagnostic Tests (RDTs) are commonly used in microbiology laboratory of hospitals to diagnose many diseases in a short period of time. Conversely, the…”
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Evaluation of Adeno-Rota virus tests via tablet computer by Ozkan, Haydar, Kayhan, Osman Semih

“…Rapid Diagnostic Tests (RDTs) are used in microbiology laboratory of hospitals to diagnose many diseases commonly. However, the reading processes of RDTs are…”
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VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges by Lengyel, Attila, Bruintjes, Robert-Jan, Rios, Marcos Baptista, Kayhan, Osman Semih, Zambrano, Davide, Tomen, Nergis, van Gemert, Jan

“…The second edition of the "VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning" challenges featured five data-impaired challenges, where models…”
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VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges by Bruintjes, Robert-Jan, Lengyel, Attila, Rios, Marcos Baptista, Kayhan, Osman Semih, van Gemert, Jan

“…We present the first edition of "VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning" challenges. We offer four data-impaired challenges, where…”
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JPEG image Encryption via TEA algorithm by Bagbaba, Ahmet Cagri, Ors, Berna, Kayhan, Osman Semih, Erozan, Ahmet Turan

“…Recently, image compression and image encryption methods are very crucial in terms of transmission and security of images. Therefore, image compression and…”
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