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Ehtesham Iqbal 0002

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affiliation: AIV, Seoul, South Korea
affiliation (former): Chung-Ang University, Department of Computer Science and Engineering, Seoul, South Korea

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Journal Articles

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2023
[j4]
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  - journals/tim/NiazIMMKC23
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  - https://dblp.org/rec/journals/tim/NiazIMMKC23
Asim Niaz, Ehtesham Iqbal, Asif Aziz Memon, Asad Munir, Jin Kim, Kwang Nam Choi:
Edge-Based Local and Global Energy Active Contour Model Driven by Signed Pressure Force for Image Segmentation. IEEE Trans. Instrum. Meas. 72: 1-14 (2023)
2021
[j3]
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Usman Asim, Ehtesham Iqbal, Aditi Joshi, Farhan Akram, Kwang Nam Choi:
Active Contour Model for Image Segmentation With Dilated Convolution Filter. IEEE Access 9: 168703-168714 (2021)
2020
[j2]
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  - journals/access/MemonNSIMC20
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Asif Aziz Memon, Asim Niaz, Shafiullah Soomro, Ehtesham Iqbal, Asad Munir, Kwang Nam Choi:
Hybrid SPF and KD Operator-Based Active Contour Model for Image Segmentation. IEEE Access 8: 198368-198383 (2020)
[j1]
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Ehtesham Iqbal, Asim Niaz, Asif Aziz Memon, Usman Asim, Kwang Nam Choi:
Saliency-Driven Active Contour Model for Image Segmentation. IEEE Access 8: 208978-208991 (2020)

Conference and Workshop Papers

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2021
[c3]
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  - conf/icccv/LeeCISC21
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Doo Hee Lee, Gi Soon Cha, Ehtesham Iqbal, Hyun Chul Song, Kwang Nam Choi:
Improvement of Detection Rate for Small Objects Using Pre-processing Network. ICCCV 2021: 50-56
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Ehtesham Iqbal, Asim Niaz, Asad Munir, Kwang Nam Choi:
Hybrid Active Contour Model for Segmentation of Synthetic and Real Images. ISPACS 2021: 1-2
2020
[c1]
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  - conf/aiccc/KimLKMIC20
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Chan Yong Kim, Doo Hee Lee, Hyo Jin Kim, Asif Aziz Memon, Ehtesham Iqbal, Kwang Nam Choi:
Designing of Loss Function for 3D Pedestrian Detection using CenterNet. AICCC 2020: 5-10

Informal and Other Publications

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2022
[i2]
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  - journals/corr/abs-2205-11063
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Ehtesham Iqbal, Asim Niaz, Asif Aziz Memon, Usman Asim, Kwang Nam Choi:
Saliency-Driven Active Contour Model for Image Segmentation. CoRR abs/2205.11063 (2022)
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  - journals/corr/abs-2206-09667
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Ehtesham Iqbal, Sirojbek Safarov, Seongdeok Bang:
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation. CoRR abs/2206.09667 (2022)

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