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Hyomin Choi

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2020 – today

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2024
[c18]
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  - conf/dcc/KamisliRC24
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Fatih Kamisli, Fabien Racapé, Hyomin Choi:
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets. DCC 2024: 193-202
[i13]
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  - journals/corr/abs-2402-18930
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Fatih Kamisli, Fabien Racapé, Hyomin Choi:
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets. CoRR abs/2402.18930 (2024)
2023
[j6]
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Sejun Kim, Sungjae Kang, Hyomin Choi, Seong Soo Kim, Kisung Seo:
Keypoint Aware Robust Representation for Transformer-Based Re-Identification of Occluded Person. IEEE Signal Process. Lett. 30: 65-69 (2023)
[c17]
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Wei Jiang, Hyomin Choi, Fabien Racapé:
Adaptive Human-Centric Video Compression for Humans and Machines. CVPR Workshops 2023: 1121-1129
[c16]
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Ezgi Özyilkan, Mateen Ulhaq, Hyomin Choi, Fabien Racapé:
Learned Disentangled Latent Representations for Scalable Image Coding for Humans and Machines. DCC 2023: 42-51
[c15]
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Wei Jiang, Hyomin Choi, Fabien Racapé, Simon Feltman, Fatih Kamisli:
Face Restoration-Based Scalable Quality Coding for Video Conferencing. ICME Workshops 2023: 206-211
2022
[j5]
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Hyomin Choi, Ivan V. Bajic:
Scalable Image Coding for Humans and Machines. IEEE Trans. Image Process. 31: 2739-2754 (2022)
[c14]
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Hyomin Choi, Ivan V. Bajic:
Scalable Video Coding for Humans and Machines. MMSP 2022: 1-6
[c13]
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Hyomin Choi, Fabien Racapé, Shahab Hamidi-Rad, Mateen Ulhaq, Simon Feltman:
Frequency-aware Learned Image Compression for Quality Scalability. VCIP 2022: 1-5
[i12]
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  - journals/corr/abs-2205-01874
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Saeed Ranjbar Alvar, Mateen Ulhaq, Hyomin Choi, Ivan V. Bajic:
Joint Image Compression and Denoising via Latent-Space Scalability. CoRR abs/2205.01874 (2022)
[i11]
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  - journals/corr/abs-2208-02512
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Hyomin Choi, Ivan V. Bajic:
Scalable Video Coding for Humans and Machines. CoRR abs/2208.02512 (2022)
2021
[j4]
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Robert A. Cohen, Hyomin Choi, Ivan V. Bajic:
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence. IEEE Open J. Circuits Syst. 2: 350-362 (2021)
[j3]
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Hyomin Choi, Ivan V. Bajic:
Affine Transformation-Based Deep Frame Prediction. IEEE Trans. Image Process. 30: 3321-3334 (2021)
[c12]
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Hyomin Choi, Ivan V. Bajic:
Latent-Space Scalability for Multi-Task Collaborative Intelligence. ICIP 2021: 3562-3566
[i10]
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  - journals/corr/abs-2105-06002
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Robert A. Cohen, Hyomin Choi, Ivan V. Bajic:
Lightweight compression of neural network feature tensors for collaborative intelligence. CoRR abs/2105.06002 (2021)
[i9]
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  - journals/corr/abs-2105-07102
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Robert A. Cohen, Hyomin Choi, Ivan V. Bajic:
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence. CoRR abs/2105.07102 (2021)
[i8]
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  - journals/corr/abs-2112-14934
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Takehiro Tanaka, Hyomin Choi, Ivan V. Bajic:
SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences. CoRR abs/2112.14934 (2021)
2020
[j2]
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  - journals/tcsv/ChoiB20
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Hyomin Choi, Ivan V. Bajic:
Deep Frame Prediction for Video Coding. IEEE Trans. Circuits Syst. Video Technol. 30(7): 1843-1855 (2020)
[c11]
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  - conf/acssc/ChoiB20
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Hyomin Choi, Ivan V. Bajic:
A Lightweight Model for Deep Frame Prediction in Video Coding. ACSSC 2020: 1122-1126
[c10]
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  - conf/eccv/KimJCS20
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Junbong Kim, Kwanghee Jeong, Hyomin Choi, Kisung Seo:
GAN-Based Anomaly Detection In Imbalance Problems. ECCV Workshops (6) 2020: 128-145
[c9]
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  - conf/icassp/ChoiCB20
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Hyomin Choi, Robert A. Cohen, Ivan V. Bajic:
Back-And-Forth Prediction for Deep Tensor Compression. ICASSP 2020: 4467-4471
[c8]
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  - conf/icmcs/CohenCB20
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Robert A. Cohen, Hyomin Choi, Ivan V. Bajic:
Lightweight Compression Of Neural Network Feature Tensors For Collaborative Intelligence. ICME 2020: 1-6
[i7]
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  - journals/corr/abs-2002-07036
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Hyomin Choi, Robert A. Cohen, Ivan V. Bajic:
Back-and-Forth prediction for deep tensor compression. CoRR abs/2002.07036 (2020)

2010 – 2019

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2019
[i6]
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  - journals/corr/abs-1901-00062
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Hyomin Choi, Ivan V. Bajic:
Deep Frame Prediction for Video Coding. CoRR abs/1901.00062 (2019)
2018
[c7]
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  - conf/icassp/AlvarCB18
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Saeed Ranjbar Alvar, Hyomin Choi, Ivan V. Bajic:
Can you Find a Face in a HEVC Bitstream? ICASSP 2018: 1288-1292
[c6]
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Hyomin Choi, Ivan V. Bajic:
High Efficiency Compression for Object Detection. ICASSP 2018: 1792-1796
[c5]
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Hyomin Choi, Ivan V. Bajic:
Deep Feature Compression for Collaborative Object Detection. ICIP 2018: 3743-3747
[c4]
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Saeed Ranjbar Alvar, Hyomin Choi, Ivan V. Bajic:
Can You Tell a Face from a HEVC Bitstream? MIPR 2018: 257-261
[c3]
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Hyomin Choi, Ivan V. Bajic:
Near-Lossless Deep Feature Compression for Collaborative Intelligence. MMSP 2018: 1-6
[i5]
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  - journals/corr/abs-1802-03931
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Hyomin Choi, Ivan V. Bajic:
Deep feature compression for collaborative object detection. CoRR abs/1802.03931 (2018)
[i4]
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  - journals/corr/abs-1804-09963
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Hyomin Choi, Ivan V. Bajic:
Near-Lossless Deep Feature Compression for Collaborative Intelligence. CoRR abs/1804.09963 (2018)
2017
[c2]
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Hyomin Choi, Ivan V. Bajic:
HEVC intra features for human detection. GlobalSIP 2017: 393-397
[c1]
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  - conf/iscas/ChoiB17
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Hyomin Choi, Ivan V. Bajic:
Corner proposals from HEVC bitstreams. ISCAS 2017: 1-4
[i3]
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  - journals/corr/abs-1709-02993
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Saeed Ranjbar Alvar, Hyomin Choi, Ivan V. Bajic:
Can you tell a face from a HEVC bitstream? CoRR abs/1709.02993 (2017)
[i2]
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  - journals/corr/abs-1710-10736
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Saeed Ranjbar Alvar, Hyomin Choi, Ivan V. Bajic:
Can you find a face in a HEVC bitstream? CoRR abs/1710.10736 (2017)
[i1]
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  - journals/corr/abs-1710-11151
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Hyomin Choi, Ivan V. Bajic:
High efficiency compression for object detection. CoRR abs/1710.11151 (2017)
2013
[j1]
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  - journals/jstsp/ChoiYNSB13
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Hyomin Choi, Jonghun Yoo, Jung-Hak Nam, Donggyu Sim, Ivan V. Bajic:
Pixel-Wise Unified Rate-Quantization Model for Multi-Level Rate Control. IEEE J. Sel. Top. Signal Process. 7(6): 1112-1123 (2013)

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