Research

The source codes or supplemental materials for our selected papers are available. Please refer to the corresponding papers, when you use the codes or materials.

Order Learning

Kyungsun Lim, Nyeong-Ho Shin, Young-Yoon Lee, and Chang-Su Kim, “Order Learning and Its Application to Age Estimation,” ICLR, Apr. 2020. [ pdf ][ code ]
Jun-Tae Lee and Chang-Su Kim, “Image Aesthetic Assessment Based on Pairwise Comparison – A Unified Approach to Score Regression, Binary Classification, and Personalization,” ICCV, Oct. 2019. [ pdf ][ code ]

Single-Image Depth Estimation

Jae-Han Lee and Chang-Su Kim, “Monocular Depth Estimation Using Relative Depth Maps,” CVPR, Jun. 2019.
Jae-Han Lee, Minhyeok Heo, Kyung-Rae Kim, and Chang-Su Kim, “Single-Image Depth Estimation Based on Fourier Domain Analysis,” CVPR, Jun. 2018.

Future Motion Estimation

Kyung-Rae Kim, Whan Choi, Yeong Jun Koh, Seong-Gyun Jeong, and Chang-Su Kim, “Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression,” ICCV, Oct. 2019. [ pdf ][ supp ][ source code ][ dataset ][ dataset_animal ]

Semantic Lines and Photographic Composition

Jun-Tae Lee, Han-Ul Kim, Chul Lee, and Chang-Su Kim, “Photographic Composition Classification and Dominant Geometric Element Detection for Outdoor Scenes,” JVCIR, Aug. 2018. [ pdf ][ code ][ dataset ]
Jun-Tae Lee, Han-Ul Kim, Chul Lee, and Chang-Su Kim, “Semantic Line Detection and Its Applications,” ICCV, Oct. 2017. [ dataset ][ code ]

Superpixels

Se-Ho Lee, Won-Dong Jang and Chang-Su Kim, “Contour-Constrained Superpixels for Image and Video Processing,” CVPR, Jul. 2017. [ pdf ] [ code ]
Se-Ho Lee, Won-Dong Jang and Chang-Su Kim, “Temporal Superpixels Based on Proximity-Weighted Patch Matching,” ICCV, Oct. 2017. [ pdf ] [ code ]

Object Tracking

Han-Ul Kim and Chang-Su Kim, “Locator-Checker-Scaler Object Tracking Using Spatially Ordered and Weighted Patch Descriptor,” IEEE TIP, Aug. 2017. [ pdf ] [ code ]
Han-Ul Kim and Chang-Su Kim, “CDT: Cooperative Detection and Tracking for Tracing Multiple Objects in Video Sequences,” ECCV, Oct. 2016. [ pdf ] [ code ]
Han-Ul Kim, Dae-Youn Lee, Jae-Young Sim, and Chang-Su Kim, “SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking,” ICCV, Dec. 2015. [ pdf ] [ code ]
Dae-Youn Lee, Jae-Young Sim, and Chang-Su Kim, “Multihypothesis Trajectory Analysis for Robust Visual Tracking,” CVPR, Jun. 2015. [ pdf ] [ code ]
Dae-Youn Lee, Jae-Young Sim, and Chang-Su Kim, “Visual tracking using pertinent patch selection and masking,” CVPR, Jun. 2014. [ pdf ] [ code ]

Clustering and Segmentation

Yeong Jun Koh, and Chang-Su Kim, “Primary Object Segmentation in Videos Based on Region Augmentation and Reduction,” CVPR, Jul. 2017. [ pdf ]
Won-Dong Jang, and Chang-Su Kim, “Online Video Object Segmentation via Convolutional Trident Network,” CVPR, Jul. 2017. [ pdf ] [ code ]
Won-Dong Jang, and Chang-Su Kim, “Streaming Video Segmentation via Short-Term Hierarchical Segmentation and Frame-by-Frame Markov Random Field Optimization,” ECCV, Oct. 2016. [ pdf ] [ code ]
Won-Dong Jang, and Chang-Su Kim, “Semi-supervised Video Object Segmentation Using Multiple Random Walkers,” BMVC, Sep. 2016. [ pdf ] [ code ]
Won-Dong Jang, Chulwoo Lee, and Chang-Su Kim, “Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions,” CVPR, Jun. 2016. [ pdf ] [ code ] [ dataset ]
Chulwoo Lee, Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim, “Multiple Random Walkers and Their Application to Image Cosegmentation,” CVPR, Jun. 2015. [ pdf ] [ code ]

Primary Object Discovery

Yeong Jun Koh, and Chang-Su Kim, “Unsupervised Primary Object Discovery in Videos Based on Evolutionary Primary Object Modeling with Reliable Object Proposals,” IEEE TIP, Nov. 2017.
Yeong Jun Koh, Won-Dong Jang, and Chang-Su Kim, “POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models,” CVPR, Jun. 2016.[ pdf ] [ supp ] [ dataset ]

Video Stabilization

Yeong Jun Koh and Chang-Su Kim, “Video Stabilization Based on Feature Trajectory Augmentation and Selection and Robust Mesh Grid Warping,” IEEE TIP, Dec. 2015. [ pdf ]

Saliency Detection

Se-Ho Lee, Je-Won Kang, and Chang-Su Kim, “Compressed Domain Video Saliency Detection Using Global and Local Spatiotemporal Features,” JVCI, Feb. 2016. [ pdf ]
Hansang Kim, Youngbae Kim, Jae-Young Sim, and Chang-Su Kim, “Spatiotemporal saliency detection for video sequences based on random walk with restart,” IEEE TIP, Aug. 2015. [ pdf ] [ code ]
Jun-Seong Kim, Jae-Young Sim, and Chang-Su Kim, “Multiscale saliency detection using random walk with restart,” IEEE TCSVT, Feb. 2014. [ pdf ] [ code ]

Stereo Matching

Kyung-Rae Kim, Yeong Jun Koh, and Chang-Su Kim, “Multiscale Feature Extractors for Stereo Matching Cost Computation,” IEEE Access, May. 2018. [ pdf ]
Il-Lyong Jung, Tae-Young Chung, Jae-Young Sim, and Chang-Su Kim, “Consistent stereo matching under varying radiometric conditions,” IEEE TMM, Jan. 2013. [ pdf ]

Dehazing, Deraining and Desnowing

Jin-Hwan Kim, Jae-Young Sim, and Chang-Su Kim, “Video deraining and desnowing using temporal correlation and low-rank matrix completion,” IEEE TIP, Sep. 2015. [ pdf ] [ code ]
Jin-Hwan Kim, Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim, “Optimized contrast enhancement for real-time image and video dehazing,” JVCI, Apr. 2013. [ pdf ] [ code ]

Constrast Enhancement

Chul Lee, Jin-Hwan Kim, Chulwoo Lee, and Chang-Su Kim, “Optimized brightness compensation and contrast enhancement for transmissive liquid crystal displays,” IEEE TCSVT, Apr. 2014. [ pdf ] [ code ]
Chulwoo Lee, Chul Lee, and Chang-Su Kim, “Contrast enhancement based on layered difference representation of 2D histograms,” IEEE TIP, Dec. 2013. [ pdf ] [ code ]
Chulwoo Lee, Chul Lee, Young-Yoon Lee, and Chang-Su Kim, “Power-constrained contrast enhancement for emissive displays based on histogram equalization,” IEEE TIP, Jan. 2012. [ pdf ] [ code ]

Point Cloud Compression

Ji-Su Kim, Jae-Han Lee, and Chang-Su Kim, “Inter-Frame Compression of 3D Point Cloud Sequences,” ICEIC, Jan. 2019. [ pdf ]

Image Quality Assessment

Won-Dong Jang, Tae-Young Chung, Jae-Young Sim, and Chang-Su Kim, “FDQM: Fast Quality Metric For Depth Maps Without View Synthesis,” IEEE TCSVT, Jul. 2015. [ pdf ] [ code ]

Frame-Rate Up-Conversion

Seong-Gyun Jeong, Chul Lee, and Chang-Su Kim, “Motion-compensated frame interpolation based on multihypothesis motion estimation and texture optimization,” IEEE TIP, Nov. 2013. [ pdf ]