Pixel-Wise Unified Rate-Quantization Model for Multi-Level Rate Control. - Hyomin Choi; Jonghun Yoo; Jung-Hak Nam; Donggyu Sim; Ivan V. Bajic (IEEE J. Sel. Top. Signal Process., 2013)

HEVC intra features for human detection. - Hyomin Choi; Ivan V. Bajic (GlobalSIP, 2017)

Corner proposals from HEVC bitstreams. - Hyomin Choi; Ivan V. Bajic (ISCAS, 2017)

Can you Find a Face in a HEVC Bitstream? - Saeed Ranjbar Alvar; Hyomin Choi; Ivan V. Bajic (ICASSP, 2018)

High Efficiency Compression for Object Detection. - Hyomin Choi; Ivan V. Bajic (ICASSP, 2018)

Deep Feature Compression for Collaborative Object Detection. - Hyomin Choi; Ivan V. Bajic (ICIP, 2018)

Can You Tell a Face from a HEVC Bitstream? - Saeed Ranjbar Alvar; Hyomin Choi; Ivan V. Bajic (MIPR, 2018)

Near-Lossless Deep Feature Compression for Collaborative Intelligence. - Hyomin Choi; Ivan V. Bajic (MMSP, 2018)

A Lightweight Model for Deep Frame Prediction in Video Coding. - Hyomin Choi; Ivan V. Bajic (ACSSC, 2020)

GAN-Based Anomaly Detection In Imbalance Problems. - Junbong Kim; Kwanghee Jeong; Hyomin Choi; Kisung Seo (ECCV Workshops (6), 2020)

Back-And-Forth Prediction for Deep Tensor Compression. - Hyomin Choi; Robert A. Cohen; Ivan V. Bajic (ICASSP, 2020)

Lightweight Compression Of Neural Network Feature Tensors For Collaborative Intelligence. - Robert A. Cohen; Hyomin Choi; Ivan V. Bajic (ICME, 2020)

Deep Frame Prediction for Video Coding. - Hyomin Choi; Ivan V. Bajic (IEEE Trans. Circuits Syst. Video Technol., 2020)

Latent-Space Scalability for Multi-Task Collaborative Intelligence. - Hyomin Choi; Ivan V. Bajic (ICIP, 2021)

SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences. - Takehiro Tanaka; Hyomin Choi; Ivan V. Bajic (CoRR, 2021)

Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence. - Robert A. Cohen; Hyomin Choi; Ivan V. Bajic (IEEE Open J. Circuits Syst., 2021)

Affine Transformation-Based Deep Frame Prediction. - Hyomin Choi; Ivan V. Bajic (IEEE Trans. Image Process., 2021)

Scalable Video Coding for Humans and Machines. - Hyomin Choi; Ivan V. Bajic (MMSP, 2022)

Frequency-aware Learned Image Compression for Quality Scalability. - Hyomin Choi; Fabien Racapé; Shahab Hamidi-Rad; Mateen Ulhaq; Simon Feltman (VCIP, 2022)

Joint Image Compression and Denoising via Latent-Space Scalability. - Saeed Ranjbar Alvar; Mateen Ulhaq; Hyomin Choi; Ivan V. Bajic (CoRR, 2022)

Scalable Image Coding for Humans and Machines. - Hyomin Choi; Ivan V. Bajic (IEEE Trans. Image Process., 2022)

Adaptive Human-Centric Video Compression for Humans and Machines. - Wei Jiang; Hyomin Choi; Fabien Racapé (CVPR Workshops, 2023)

Learned Disentangled Latent Representations for Scalable Image Coding for Humans and Machines. - Ezgi Özyilkan; Mateen Ulhaq; Hyomin Choi; Fabien Racapé (DCC, 2023)

Face Restoration-Based Scalable Quality Coding for Video Conferencing. - Wei Jiang; Hyomin Choi; Fabien Racapé; Simon Feltman; Fatih Kamisli (ICME Workshops, 2023)

Keypoint Aware Robust Representation for Transformer-Based Re-Identification of Occluded Person. - Sejun Kim; Sungjae Kang; Hyomin Choi; Seong Soo Kim; Kisung Seo (IEEE Signal Process. Lett., 2023)

Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets. - Fatih Kamisli; Fabien Racapé; Hyomin Choi (DCC, 2024)

Feature Compression for Machines with Range-Based Channel Truncation and Frame Packing. - Juan Merlos; Fabien Racapé; Hyomin Choi; Mateen Ulhaq; Hari Kalva (DCC, 2025)

Efficient Feature Compression for Machines with Global Statistics Preservation. - Md Eimran Hossain Eimon; Hyomin Choi; Fabien Racapé; Mateen Ulhaq; Velibor Adzic; Hari Kalva; Borko Furht (ISCAS, 2025)

A Scalable Crawling Algorithm Utilizing Noisy Change-Indicating Signals. - Julian Zimmert; Róbert Busa-Fekete; András György 001; Linhai Qiu; Hyomin Choi; Tzu-Wei Sung; Hao Shen; Sharmila Subramaniam; Li Xiao (WWW, 2025)