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ORCIDEmre Akbas
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2020 – today
- 2024
[j12]Melih Baydar
, Emre Akbas:
SegIns: A simple extension to instance discrimination task for better localization learning. J. Vis. Commun. Image Represent. 100: 104122 (2024)- [j11]Ahmet Bahaddin Ersoz, Onur Pekcan, Emre Akbas:
AIDCON: An Aerial Image Dataset and Benchmark for Construction Machinery. Remote. Sens. 16(17): 3295 (2024) - [c28]Gokcen Gokceoglu, Devrim Cavusoglu, Emre Akbas, Özen Nergis Dolcerocca:
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts. ACL (Findings) 2024: 6585-6596 - [c27]Bedirhan Uguz, Ozhan Suat, Batuhan Karagöz, Emre Akbas:
MoCap-to-Visual Domain Adaptation for Efficient Human Mesh Estimation from 2D Keypoints. CVPR Workshops 2024: 1622-1632 - [c26]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses. CVPR 2024: 3239-3249 - [i36]Raheem Karim Hashmani, Emre Akbas, Melahat Bilge Demirköz:
A Comparison of Deep Learning Models for Proton Background Rejection with the AMS Electromagnetic Calorimeter. CoRR abs/2402.16285 (2024) - [i35]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses. CoRR abs/2403.01795 (2024) - [i34]Bedirhan Uguz, Ozhan Suat, Batuhan Karagöz, Emre Akbas:
MoCap-to-Visual Domain Adaptation for Efficient Human Mesh Estimation from 2D Keypoints. CoRR abs/2404.07094 (2024) - [i33]Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan:
Bucketed Ranking-based Losses for Efficient Training of Object Detectors. CoRR abs/2407.14204 (2024) - [i32]Gokcen Gokceoglu, Devrim Cavusoglu, Emre Akbas, Özen Nergis Dolcerocca:
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts. CoRR abs/2407.15136 (2024) - [i31]Edanur Demir, Emre Akbas:
Early-exit Convolutional Neural Networks. CoRR abs/2409.05336 (2024) - 2023
- [j10]Nermin Samet, Samet Hicsonmez, Emre Akbas:
HoughNet: Integrating Near and Long-Range Evidence for Visual Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4667-4681 (2023) - [c25]Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. AAAI 2023: 1087-1095 - [i30]Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. CoRR abs/2301.01019 (2023) - [i29]Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu:
Improving Sketch Colorization using Adversarial Segmentation Consistency. CoRR abs/2301.08590 (2023) - [i28]Aref Miri Rekavandi, Shima Rashidi, Farid Boussaïd, Stephen Hoefs, Emre Akbas, Mohammed Bennamoun:
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art. CoRR abs/2309.04902 (2023) - [i27]Samet Hicsonmez, Nermin Samet, Fidan Samet, Oguz Bakir, Emre Akbas, Pinar Duygulu:
WAIT: Feature Warping for Animation to Illustration video Translation using GANs. CoRR abs/2310.04901 (2023) - [i26]Zeynep Sonat Baltaci, Kemal Oksuz, Selim Kuzucu, K. Tezoren, B. K. Konar, A. Ozkan, Emre Akbas, Sinan Kalkan:
Class Uncertainty: A Measure to Mitigate Class Imbalance. CoRR abs/2311.14090 (2023) - [i25]Baris Can Çam, Kemal Öksüz, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation. CoRR abs/2312.17031 (2023) - 2022
- [j9]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
Does depth estimation help object detection? Image Vis. Comput. 122: 104427 (2022) - [j8]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9446-9463 (2022) - [j7]Adil Kaan Akan, Emre Akbas, Fatos T. Yarman-Vural:
Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation. Signal Image Video Process. 16(6): 1595-1606 (2022) - [c24]Can Ufuk Ertenli, Emre Akbas, Ramazan Gokberk Cinbis:
Streaming Multiscale Deep Equilibrium Models. ECCV (11) 2022: 189-205 - [i24]Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas:
Does depth estimation help object detection? CoRR abs/2204.06512 (2022) - [i23]Can Ufuk Ertenli, Emre Akbas, Ramazan Gokberk Cinbis:
Streaming Multiscale Deep Equilibrium Models. CoRR abs/2204.13492 (2022) - [i22]Gokcen Gokceoglu, Emre Akbas:
Character Generation through Self-Supervised Vectorization. CoRR abs/2208.02012 (2022) - 2021
- [j6]Nermin Samet, Emre Akbas:
HPRNet: Hierarchical point regression for whole-body human pose estimation. Image Vis. Comput. 115: 104285 (2021) - [j5]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
Imbalance Problems in Object Detection: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3388-3415 (2021) - [c23]Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation. BMVC 2021: 228 - [c22]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Rank & Sort Loss for Object Detection and Instance Segmentation. ICCV 2021: 2989-2998 - [c21]Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu:
Adversarial Segmentation Loss For Sketch Colorization. ICIP 2021: 2403-2407 - [i21]Ilke Çugu, Emre Akbas:
A Deeper Look into Convolutions via Pruning. CoRR abs/2102.02804 (2021) - [i20]Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu:
Adversarial Segmentation Loss for Sketch Colorization. CoRR abs/2102.06192 (2021) - [i19]Adil Kaan Akan, Emre Akbas, Fatos T. Yarman-Vural:
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation. CoRR abs/2102.08079 (2021) - [i18]Nermin Samet, Samet Hicsonmez, Emre Akbas:
HoughNet: Integrating near and long-range evidence for visual detection. CoRR abs/2104.06773 (2021) - [i17]Nermin Samet, Emre Akbas:
HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation. CoRR abs/2106.04269 (2021) - [i16]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Rank & Sort Loss for Object Detection and Instance Segmentation. CoRR abs/2107.11669 (2021) - [i15]Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas:
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation. CoRR abs/2110.09734 (2021) - 2020
- [j4]Emre Akbas, Narendra Ahuja:
Low-level multiscale image segmentation and a benchmark for its evaluation. Comput. Vis. Image Underst. 199: 103026 (2020) - [j3]Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu:
GANILLA: Generative adversarial networks for image to illustration translation. Image Vis. Comput. 95: 103886 (2020) - [c20]Nermin Samet, Samet Hicsonmez, Emre Akbas:
Reducing Label Noise in Anchor-Free Object Detection. BMVC 2020 - [c19]Nermin Samet, Samet Hicsonmez, Emre Akbas:
HoughNet: Integrating Near and Long-Range Evidence for Bottom-Up Object Detection. ECCV (25) 2020: 406-423 - [c18]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection. NeurIPS 2020 - [c17]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Generating Positive Bounding Boxes for Balanced Training of Object Detectors. WACV 2020: 883-892 - [i14]Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu:
GANILLA: Generative Adversarial Networks for Image to Illustration Translation. CoRR abs/2002.05638 (2020) - [i13]Nermin Samet, Samet Hicsonmez, Emre Akbas:
HoughNet: Integrating near and long-range evidence for bottom-up object detection. CoRR abs/2007.02355 (2020) - [i12]Nermin Samet, Samet Hicsonmez, Emre Akbas:
Reducing Label Noise in Anchor-Free Object Detection. CoRR abs/2008.01167 (2020) - [i11]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection. CoRR abs/2009.13592 (2020) - [i10]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. CoRR abs/2011.10772 (2020)
2010 – 2019
- 2019
- [c16]Muhammed Kocabas, Salih Karagoz, Emre Akbas:
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry. CVPR 2019: 1077-1086 - [c15]Kader Belli, Emre Akbas, Adnan Yazici:
Activity Learning from Lifelogging Images. ICAISC (2) 2019: 327-337 - [c14]Ilke Çugu, Eren Sener, Emre Akbas:
MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images. IPTA 2019: 1-6 - [c13]Adil Kaan Akan, Baran Baris Kivilcim, Emre Akbas, Sharlene D. Newman, Fatos T. Yarman-Vural:
Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks. SIU 2019: 1-4 - [i9]Muhammed Kocabas, Salih Karagoz, Emre Akbas:
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry. CoRR abs/1903.02330 (2019) - [i8]Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
Imbalance Problems in Object Detection: A Review. CoRR abs/1909.00169 (2019) - [i7]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Generating Positive Bounding Boxes for Balanced Training of Object Detectors. CoRR abs/1909.09777 (2019) - 2018
- [c12]Muhammed Kocabas, Salih Karagoz, Emre Akbas:
MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network. ECCV (11) 2018: 437-453 - [c11]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Localization Recall Precision (LRP): A New Performance Metric for Object Detection. ECCV (7) 2018: 521-537 - [c10]Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu:
Who draw this? Caricaturist recognition using convolutional neural networks. SIU 2018: 1-4 - [i6]Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Localization Recall Precision (LRP): A New Performance Metric for Object Detection. CoRR abs/1807.01696 (2018) - [i5]Muhammed Kocabas, Salih Karagoz, Emre Akbas:
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network. CoRR abs/1807.04067 (2018) - 2017
- [j2]Emre Akbas, Miguel P. Eckstein:
Object detection through search with a foveated visual system. PLoS Comput. Biol. 13(10) (2017) - [c9]Nermin Samet, Samet Hicsonmez, Pinar Duygulu, Emre Akbas:
Could we create a training set for image captioning using automatic translation? SIU 2017: 1-4 - [i4]Sadegh Eskandari, Emre Akbas:
Supervised Infinite Feature Selection. CoRR abs/1704.02665 (2017) - [i3]Ilke Çugu, Eren Sener, Emre Akbas:
MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images. CoRR abs/1711.07011 (2017) - 2016
- [c8]Gunes Sucu, Emre Akbas, Ilke Öztekin, Eda Mizrak, Fatos T. Yarman-Vural:
Decoding cognitive states using the bag of words model on fMRI time series. SIU 2016: 2245-2248 - 2014
- [j1]Emre Akbas, Narendra Ahuja:
Low-Level Hierarchical Multiscale Segmentation Statistics of Natural Images. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1900-1906 (2014) - [c7]Emre Akbas, Aseem Wadhwa, Miguel P. Eckstein, Upamanyu Madhow:
A framework for machine vision based on neuro-mimetic front end processing and clustering. Allerton 2014: 311-318 - [i2]Emre Akbas, Miguel P. Eckstein:
Object Detection Through Exploration With A Foveated Visual Field. CoRR abs/1408.0814 (2014) - 2011
- [b1]Emre Akbas:
Generation and analysis of segmentation trees for natural images. University of Illinois Urbana-Champaign, USA, 2011 - [i1]Emre Akbas, Bernard Ghanem, Narendra Ahuja:
MIS-Boost: Multiple Instance Selection Boosting. CoRR abs/1109.2388 (2011) - 2010
- [c6]Mert Dikmen, Emre Akbas, Thomas S. Huang, Narendra Ahuja:
Pedestrian Recognition with a Learned Metric. ACCV (4) 2010: 501-512 - [c5]Emre Akbas, Narendra Ahuja:
Low-Level Image Segmentation Based Scene Classification. ICPR 2010: 3623-3626
2000 – 2009
- 2009
- [c4]Emre Akbas, Narendra Ahuja:
From Ramp Discontinuities to Segmentation Tree. ACCV (1) 2009: 123-134 - 2007
- [c3]Emre Akbas, Fatos T. Yarman-Vural:
Automatic Image Annotation by Ensemble of Visual Descriptors. CVPR 2007 - 2006
- [c2]Mutlu Uysal, Emre Akbas, Fatos T. Yarman-Vural:
A Hierarchical Classification System Based on Adaptive Resonance Theory. ICIP 2006: 2913-2916 - [c1]Emre Akbas, Fatos T. Yarman-Vural:
Design of a Feature Set for Face Recognition Problem. ISCIS 2006: 239-247
Coauthor Index
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last updated on 2024-10-11 17:31 CEST by the dblp team
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