Bumsub Ham

Research output

Research output per year 2009 2013 2014 2015 2017 2018 2019 2020 2021 2022 2022

• 35 Conference contribution
• 25 Article
• 2 Conference article
• 1 Paper

Research output per year

Research output per year

Search results

• 2022

  Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation

  Lee, G., Eom, C., Lee, W., Park, H. & Ham, B., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 38-55 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13690 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classes 100%
  • Domains 85%
  • Image Segmentation 42%
  • Contrastive Learning 42%
  • Discriminative Feature 28%

• OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search

  Lee, S., Oh, Y., Baek, D., Lee, J. & Ham, B., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 621-637 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13670 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Person Representation 100%
  • Normalization 80%
  • Representation 40%
  • Experimental Result 20%
  • Benchmark 20%

• SIF-NPU: A 28nm 3.48 TOPS/W 0.25 TOPS/mm²CNN Accelerator with Spatially Independent Fusion for Real-Time UHD Super-Resolution

  Lee, S., Lee, K. B., Joo, S., Ahn, H. K., Lee, J., Kim, D., Ham, B. & Jung, S. O., 2022, ESSCIRC 2022 - IEEE 48th European Solid State Circuits Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 97-100 4 p. (ESSCIRC 2022 - IEEE 48th European Solid State Circuits Conference, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Convolutional Neural Network 100%
  • Quantization 50%
  • Parallelism 25%
  • High Throughput 25%
  • Additional Memory 25%
• 2021

  Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation

  Oh, Y., Kim, B. & Ham, B., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 6909-6918 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image Segmentation 100%
  • Object Boundary 50%
  • Convolutional Neural Network 50%
  • Background Region 50%
  • Experimental Result 25%
  17 Citations (Scopus)

• Distance-aware Quantization

  Kim, D., Lee, J. & Ham, B., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 5251-5260 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Quantization 100%
  • Networks 40%
  • Experimental Result 20%
  • Unified Framework 20%
  • Benchmark 20%
  6 Citations (Scopus)

• Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation

  Baek, D., Oh, Y. & Ham, B., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 9516-9525 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classes 100%
  • Semantics 83%
  • Visual Feature 50%
  • Embedding Space 50%
  • Nearest Neighbour 33%
  11 Citations (Scopus)

• HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection

  Noh, J., Lee, S. & Ham, B., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 14600-14609 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Object Detection 100%
  • Detection Method 66%
  • Point Cloud 66%
  • Representation 66%
  • Experimental Result 33%
  32 Citations (Scopus)

• Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences

  Park, H., Lee, S., Lee, J. & Ham, B., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 12026-12035 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Person Re-Identification 100%
  • Person Representation 60%
  • Representation Learning 60%
  • Benchmark 20%
  • Learning Framework 20%
  36 Citations (Scopus)

• Network Quantization with Element-wise Gradient Scaling

  Lee, J., Kim, D. & Ham, B., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 6444-6453 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Gradients 100%
  • Networks 77%
  • Quantization 44%
  • Output 33%
  • Width 22%
  25 Citations (Scopus)

• Video-based Person Re-identification with Spatial and Temporal Memory Networks

  Eom, C., Lee, G., Lee, J. & Ham, B., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 12016-12025 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Person Re-Identification 100%
  • Person Representation 66%
  • Networks 66%
  • Memory Network 66%
  • Attention 66%
  19 Citations (Scopus)
• 2020

  Learning with Privileged Information for Efficient Image Super-Resolution

  Lee, W., Lee, J., Kim, D. & Ham, B., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 465-482 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12369 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Resolution Image 100%
  • Convolutional Neural Network 66%
  • Experimental Result 33%
  • Benchmark 33%
  • Performance Gain 33%
  32 Citations (Scopus)

• Relation network for person re-identification

  Park, H. & Ham, B., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 11839-11847 9 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Person Re-Identification 100%
  • Simulation Mode 66%
  • Global Feature 66%
  • Reidentification 66%
  • Networks 66%
  62 Citations (Scopus)
• 2019

  SFNET: Learning object-aware semantic correspondence

  Lee, J., Kim, D., Ponce, J. & Ham, B., 2019 Jun, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 2273-2282 10 p. 8954231. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semantics 100%
  • Convolutional Neural Network 50%
  • Experimental Result 25%
  • Training Data 25%
  • Benchmark 25%
  65 Citations (Scopus)
• 2018

  Convolutional cost aggregation for robust stereo matching

  Jeong, S., Kim, S., Ham, B. & Sohn, K., 2018 Feb 20, 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, p. 2523-2527 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2017-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Costs 100%
  • Stereo Matching 42%
  • Convolutional Neural Network 28%
  • Networks 28%
  • Energy Minimisation 14%
  3 Citations (Scopus)

• Deep stereo confidence prediction for depth estimation

  Kim, S., Min, D., Ham, B., Kim, S. & Sohn, K., 2018 Feb 20, 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, p. 992-996 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2017-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experimental Result 100%
  • Benchmark 100%
  • Stereo Matching 100%
  • Convolutional Layer 100%
  • Convolutional Neural Network 100%
  14 Citations (Scopus)

• Unsupervised stereo matching using correspondence consistency

  Joung, S., Kim, S., Ham, B. & Sohn, K., 2018 Feb 20, 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, p. 2518-2522 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2017-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computation Cost 100%
  • Networks 100%
  • Stereo Matching 66%
  • Convolutional Neural Network 66%
  • Experimental Result 33%
  4 Citations (Scopus)
• 2017

  FCSS: Fully convolutional self-similarity for dense semantic correspondence

  Kim, S., Min, D., Ham, B., Jeon, S., Lin, S. & Sohn, K., 2017 Nov 6, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 616-625 10 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Descriptors 100%
  • Semantics 75%
  • Convolutional Neural Network 50%
  • Classes 50%
  • Training Data 25%
  83 Citations (Scopus)

• Point-cut: Interactive image segmentation using point supervision

  Oh, C., Ham, B. & Sohn, K., 2017, Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, Revised Selected Papers. Sato, Y., Nishino, K., Lepetit, V. & Lai, S-H. (eds.). Springer Verlag, p. 229-244 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10111 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image Segmentation 100%
  • Optimization 50%
  • Image Processing 50%
  • Segmentation 50%
  • Segmentation Method 50%
  3 Citations (Scopus)

• SCNet: Learning Semantic Correspondence

  Han, K., Rezende, R. S., Ham, B., Wong, K. Y. K., Cho, M., Schmid, C. & Ponce, J., 2017 Dec 22, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Institute of Electrical and Electronics Engineers Inc., p. 1849-1858 10 p. 8237465. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2017-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semantics 100%
  • Benchmark 33%
  • Simulation Mode 33%
  • Convolutional Neural Network 33%
  • Neural Network Architecture 33%
  84 Citations (Scopus)
• 2016

  Proposal Flow

  Ham, B., Cho, M., Schmid, C. & Ponce, J., 2016 Dec 9, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 3475-3484 10 p. 7780747. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semantics 100%
  • Benchmark 16%
  • Matching Algorithm 16%
  • Region Feature 16%
  • Standards 16%
  102 Citations (Scopus)
• 2015

  DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence

  Kim, S., Min, D., Ham, B., Ryu, S., Do, M. N. & Sohn, K., 2015 Oct 14, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 2103-2112 10 p. 7298822. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Descriptors 100%
  • Correlation 100%
  • Outstanding Performance 20%
  • Receptive Field 20%
  • Multispectral Image 20%
  70 Citations (Scopus)

• Robust image filtering using joint static and dynamic guidance

  Ham, B., Cho, M. & Ponce, J., 2015 Oct 14, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 4823-4831 9 p. 7299115. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image Filtering 100%
  • Input Image 50%
  • Images 33%
  • Sensor 33%
  • Joints (Structural Components) 33%
  117 Citations (Scopus)

• Robust stereo matching using probabilistic laplacian surface propagation

  Kim, S., Ham, B., Ryu, S., Kim, S. J. & Sohn, K., 2015, Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Revised Selected Papers. Reid, I., Yang, M-H., Saito, H. & Cremers, D. (eds.). Springer Verlag, p. 368-383 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9003).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Stereo Matching 100%
  • Control Surface 100%
  • Superpixel 66%
  • Functions 66%
  • Experimental Result 33%
  3 Citations (Scopus)
• 2014

  Local self-similarity frequency descriptor for multispectral feature matching

  Kim, S., Ryu, S., Ham, B., Kim, J. & Sohn, K., 2014 Jan 28, 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., p. 5746-5750 5 p. 7026162. (2014 IEEE International Conference on Image Processing, ICIP 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Descriptors 100%
  • Frequency Response 50%
  • Experimental Result 25%
  • Recognition Rate 25%
  • Frequency Domain 25%
  15 Citations (Scopus)

• Normalized tone-mapping operators for color quality improvement in 3DTV

  Kim, D., Jung, K., Ham, B., Kim, Y. & Sohn, K., 2014 Oct 20, Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014. Institute of Electrical and Electronics Engineers Inc., p. 430-435 6 p. 6931201. (Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Colour 100%
  • Images 100%
  • Color 100%
  • Model 66%
  • Quality 66%
  3 Citations (Scopus)
• 2013

  ABFT: Anisotropic binary feature transform based on structure tensor space

  Kim, S., Yoo, H., Ryu, S., Ham, B. & Sohn, K., 2013, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. IEEE Computer Society, p. 2920-2923 4 p. 6738601. (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Binary Feature 100%
  • Structure Tensor 66%
  • Experimental Result 33%
  • Recognition Rate 33%
  • Computational Time 33%
  2 Citations (Scopus)

• Contextual information based visual saliency model

  Ryu, S., Ham, B. & Sohn, K., 2013, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. IEEE Computer Society, p. 201-205 5 p. 6738042. (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation Mode 100%
  • Contextual Information 50%
  • Visual Saliency Model 33%
  • Good Performance 16%
  • General Framework 16%
  4 Citations (Scopus)

• Disparity search range estimation based on dense stereo matching

  Li, R., Ham, B., Oh, C. & Sohn, K., 2013, Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013. p. 753-759 7 p. 6566468. (Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Stereo Matching 100%
  • Search Space 66%
  • Experimental Result 33%
  • Local Minimum 33%
  • Conventional Method 33%
  9 Citations (Scopus)

• Fast image retargeting via axis-aligned importance scaling

  Choi, S., Ham, B. & Sohn, K., 2013, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. IEEE Computer Society, p. 1061-1065 5 p. 6738219. (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experimental Result 100%
  • Transition Cost 100%
  • Unknown Variable 100%
  • Single Parameter 100%
  • Simple Implementation 100%
  3 Citations (Scopus)
• 2012

  Hybrid approach for accurate depth acquisition with structured light and stereo camera

  Choi, S., Ham, B., Oh, C., Choo, H. G., Kim, J. & Sohn, K., 2012, IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2012 - Final Program. 6264270. (IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Structured Light 100%
  • Stereo Matching 80%
  • Depth Information 40%
  • Hybrid Approach 40%
  • Experimental Result 20%
  3 Citations (Scopus)
• 2011

  Cost aggregation with anisotropic diffusion in feature space for hybrid stereo matching

  Ham, B., Min, D. & Sohn, K., 2011, ICIP 2011: 2011 18th IEEE International Conference on Image Processing. p. 3365-3368 4 p. 6116393. (Proceedings - International Conference on Image Processing, ICIP).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Stereo Matching 100%
  • Feature Space 100%
  • Anisotropic Diffusion 75%
  • Experimental Result 25%
  • Simulation Mode 25%

• Hole filling with random walks using occlusion constraints in view synthesis

  Choi, S., Ham, B. & Sohn, K., 2011, ICIP 2011: 2011 18th IEEE International Conference on Image Processing. p. 1965-1968 4 p. 6115858. (Proceedings - International Conference on Image Processing, ICIP).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Random Walk 100%
  • Interpolation 66%
  • Virtual Camera 66%
  • Synthesis 66%
  • Experimental Result 33%
  8 Citations (Scopus)
• 2010

  Visual fatigue evaluation and enhancement for 2D-plus-depth video

  Choi, J., Kim, D., Ham, B., Choi, S. & Sohn, K., 2010, 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings. p. 2981-2984 4 p. 5653389. (Proceedings - International Conference on Image Processing, ICIP).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Mechanical Fatigue Test 100%
  • Evaluation 100%
  • Algorithm 66%
  • Images 66%
  • Enhancement 33%
  41 Citations (Scopus)
• 2009

  Spatial and temporal up-conversion technique for depth video

  Choi, J., Min, D., Ham, B. & Sohn, K., 2009, 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, p. 3525-3528 4 p. 5414081. (Proceedings - International Conference on Image Processing, ICIP).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sensor 100%
  • Time-of-Flight 50%
  • Frame Rate 33%
  • High Quality 33%
  • Lower Frame 33%
  18 Citations (Scopus)

• Virtual view rendering using super-resolution with multiview images

  Ham, B., Min, D., Choi, J. & Sohn, K., 2009, 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, p. 2345-2348 4 p. 5414509. (Proceedings - International Conference on Image Processing, ICIP).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Interpolation 100%
  • Virtual Camera 66%
  • Experimental Result 33%
  • Rendering 33%
  • Conventional Method 33%
  2 Citations (Scopus)