PCCD: parallel continuous collision detection. - Duksu Kim; Jae-Pil Heo; Sung-Eui Yoon (SIGGRAPH Posters, 2009)

HPCCD: Hybrid Parallel Continuous Collision Detection using CPUs and GPUs. - Duksu Kim; Jae-Pil Heo; Jaehyuk Huh 001; John Kim 001; Sung-Eui Yoon (Comput. Graph. Forum, 2009)

FASTCD: Fracturing-Aware Stable Collision Detection. - Jae-Pil Heo; Joon-Kyung Seong; Duksu Kim; Miguel A. Otaduy; Jeong-Mo Hong; Min Tang 001; Sung-Eui Yoon (Symposium on Computer Animation, 2010)

FASTCD: fracturing-aware stable collision detection. - Jae-Pil Heo; Duksu Kim; Joon-Kyung Seong; Jeong-Mo Hong; Min Tang 001; Sung-Eui Yoon (SIGGRAPH Posters, 2010)

IRIW: Image Retrieval Based Image Watermarking for Large-Scale Image Databases. - Jong Yun Jun; Kunho Kim; Jae-Pil Heo; Sung-Eui Yoon (IWDW, 2011)

Data management for SSDs for large-scale interactive graphics applications. - Behzad Sajadi; Shan Jiang 003; M. Gopi 001; Jae-Pil Heo; Sung-Eui Yoon (SI3D, 2011)

VolCCD: Fast continuous collision culling between deforming volume meshes. - Min Tang 001; Dinesh Manocha; Sung-Eui Yoon; Peng Du; Jae-Pil Heo; Ruofeng Tong 001 (ACM Trans. Graph., 2011)

Spherical hashing. - Jae-Pil Heo; Youngwoon Lee; Junfeng He; Shih-Fu Chang; Sung-Eui Yoon (CVPR, 2012)

Probabilistic cost model for nearest neighbor search in image retrieval. - Kunho Kim; Mohammad Khairul Hasan; Jae-Pil Heo; Yu-Wing Tai; Sung-Eui Yoon (Comput. Vis. Image Underst., 2012)

VLSH: Voronoi-based locality sensitive hashing. - Tieu Lin Loi; Jae-Pil Heo; Junghwan Lee; Sung-Eui Yoon (IROS, 2013)

Distance Encoded Product Quantization. - Jae-Pil Heo; Zhe Lin 001; Sung-Eui Yoon (CVPR, 2014)

Quadra-embedding: Binary code embedding with low quantization error. - Youngwoon Lee; Jae-Pil Heo; Sung-Eui Yoon (Comput. Vis. Image Underst., 2014)

Spherical Hashing: Binary Code Embedding with Hyperspheres. - Jae-Pil Heo; Youngwoon Lee; Junfeng He; Shih-Fu Chang; Sung-Eui Yoon (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Shortlist Selection with Residual-Aware Distance Estimator for K-Nearest Neighbor Search. - Jae-Pil Heo; Zhe Lin 001; Xiaohui Shen; Jonathan Brandt; Sung-Eui Yoon (CVPR, 2016)

Rank-based voting with inclusion relationship for accurate image search. - Jaehyeong Cho; Jae-Pil Heo; Taeyoung Kim; Bohyung Han; Sung-Eui Yoon (Vis. Comput., 2017)

Learning Coarse and Fine Features for Precise Temporal Action Localization. - Ji-Hwan Kim; Jae-Pil Heo (IEEE Access, 2019)

Distance Encoded Product Quantization for Approximate K-Nearest Neighbor Search in High-Dimensional Space. - Jae-Pil Heo; Zhe Lin 001; Sung-Eui Yoon (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Content-Aware Focal Plane Selection and Proposals for Object Tracking on Plenoptic Image Sequences. - Dae Hyun Bae; Jae Woo Kim; Jae-Pil Heo (Sensors, 2019)

Super-Resolution of License Plate Images via Character-Based Perceptual Loss. - Seyun Lee; Ji-Hwan Kim; Jae-Pil Heo (BigComp, 2020)

VarSR: Variational Super-Resolution Network for Very Low Resolution Images. - Sangeek Hyun; Jae-Pil Heo (ECCV (23), 2020)

Mutually Orthogonal Softmax Axes for Cross-Domain Retrieval. - Hae-Chan Noh; Jae-Pil Heo (IEEE Access, 2020)

Pseudo Conditional Regularization for Inverse Mapping of GANs. - Sang-Heon Shim; Jae-Pil Heo (IEEE Access, 2020)

Regularization with Multiple Feature Combination for Few-Shot Learning. - Su Been Lee; Jun Ho Park; Ji Young Kim; Seung Yeol Lee; Jae-Pil Heo (BigComp, 2021)

Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency. - Sangeek Hyun; Jihwan Kim; Jae-Pil Heo (CVPR, 2021)

Collaborative Learning with Disentangled Features for Zero-shot Domain Adaptation. - Won Young Jhoo; Jae-Pil Heo (ICCV, 2021)

Product Quantizer Aware Inverted Index for Scalable Nearest Neighbor Search. - Hae-Chan Noh; Taeho Kim; Jae-Pil Heo (ICCV, 2021)

Pixel-Level Kernel Estimation for Blind Super-Resolution. - Jaihyun Lew; Euiyeon Kim; Jae-Pil Heo (IEEE Access, 2021)

Task Discrepancy Maximization for Fine-grained Few-Shot Classification. - Su Been Lee; WonJun Moon; Jae-Pil Heo (CVPR, 2022)

Local Attention Pyramid for Scene Image Generation. - Sang-Heon Shim; Sangeek Hyun; Dae Hyun Bae; Jae-Pil Heo (CVPR, 2022)

Tailoring Self-Supervision for Supervised Learning. - WonJun Moon; Ji-Hwan Kim; Jae-Pil Heo (ECCV (25), 2022)

Difficulty-Aware Simulator for Open Set Recognition. - WonJun Moon; Jun Ho Park; Hyun Seok Seong; Cheol-Ho Cho; Jae-Pil Heo (ECCV (25), 2022)

Pivot-Guided Embedding for Domain Generalization. - Hyun Seok Seong; Jaehyun Choi; Woojin Jeong; Jae-Pil Heo (IEEE Access, 2022)

Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation. - Jongbo Moon; Hyunjun Kim; Jae-Pil Heo (AAAI, 2023)

Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition. - WonJun Moon; Hyun Seok Seong; Jae-Pil Heo (AAAI, 2023)

Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images. - Geunwoo Oh; Jonghee Back; Jae-Pil Heo; Bochang Moon (AAAI, 2023)

Query - Dependent Video Representation for Moment Retrieval and Highlight Detection. - WonJun Moon; Sangeek Hyun; Sanguk Park; Dongchan Park; Jae-Pil Heo (CVPR, 2023)

Disentangled Representation Learning for Unsupervised Neural Quantization. - Haechan Noh; Sangeek Hyun; Woojin Jeong; Hanshin Lim; Jae-Pil Heo (CVPR, 2023)

Leveraging Hidden Positives for Unsupervised Semantic Segmentation. - Hyun Seok Seong; WonJun Moon; Su Been Lee; Jae-Pil Heo (CVPR, 2023)

Self-Feedback DETR for Temporal Action Detection. - Jihwan Kim; Miso Lee; Jae-Pil Heo (ICCV, 2023)

Axial Constraints for Global Matching-Based Optical Flow Estimation. - Euiyeon Kim; Woojin Jun; Jae-Pil Heo (IEEE Access, 2023)

Cross-Loss Pseudo Labeling for Semi-Supervised Segmentation. - Seungyeol Lee; Taeho Kim; Jae-Pil Heo (IEEE Access, 2023)

Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification. - Su Been Lee; WonJun Moon; Hyun Seok Seong; Jae-Pil Heo (CoRR, 2023)

Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding. - WonJun Moon; Sangeek Hyun; Su Been Lee; Jae-Pil Heo (CoRR, 2023)

Frequency-Based Motion Representation for Video Generative Adversarial Networks. - Sangeek Hyun; Jaihyun Lew; Jiwoo Chung; Euiyeon Kim; Jae-Pil Heo (IEEE Trans. Image Process., 2023)

TCX: Texture and channel swappings for domain generalization. - Jaehyun Choi; Hyun Seok Seong; Sanguk Park; Jae-Pil Heo (Pattern Recognit. Lett., 2023)

VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting. - Seunggu Kang; WonJun Moon; Euiyeon Kim; Jae-Pil Heo (AAAI, 2024)

Noise-Free Optimization in Early Training Steps for Image Super-resolution. - Minkyu Lee; Jae-Pil Heo (AAAI, 2024)

Task-Disruptive Background Suppression for Few-Shot Segmentation. - Suho Park; Su Been Lee; Sangeek Hyun; Hyun Seok Seong; Jae-Pil Heo (AAAI, 2024)

Towards Squeezing-Averse Virtual Try-On via Sequential Deformation. - Sang-Heon Shim; Jiwoo Chung; Jae-Pil Heo (AAAI, 2024)

Style Injection in Diffusion: A Training-Free Approach for Adapting Large-Scale Diffusion Models for Style Transfer. - Jiwoo Chung; Sangeek Hyun; Jae-Pil Heo (CVPR, 2024)

Diversity-Aware Channel Pruning for StyleGAN Compression. - Jiwoo Chung; Sangeek Hyun; Sang-Heon Shim; Jae-Pil Heo (CVPR, 2024)

Mitigating Background Shift in Class-Incremental Semantic Segmentation. - Gilhan Park; WonJun Moon; SuBeen Lee; Tae-Young Kim; Jae-Pil Heo (ECCV (50), 2024)

Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation. - Hyun Seok Seong; WonJun Moon; SuBeen Lee; Jae-Pil Heo (ECCV (49), 2024)

GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats. - Sangeek Hyun; Jae-Pil Heo (NeurIPS, 2024)

Activating Self-Attention for Multi-Scene Absolute Pose Regression. - Miso Lee; Jihwan Kim; Jae-Pil Heo (NeurIPS, 2024)

Adversarial Generation of Hierarchical Gaussians for 3D Generative Model. - Sangeek Hyun; Jae-Pil Heo (CoRR, 2024)

Boundary-Recovering Network for Temporal Action Detection. - Jihwan Kim; Jaehyun Choi; Yerim Jeon; Jae-Pil Heo (CoRR, 2024)

Mutually-Aware Feature Learning for Few-Shot Object Counting. - Yerim Jeon; Subeen Lee; Jihwan Kim; Jae-Pil Heo (CoRR, 2024)

Auto-Encoded Supervision for Perceptual Image Super-Resolution. - Minkyu Lee; Sangeek Hyun; Woojin Jun; Jae-Pil Heo (CoRR, 2024)

The detection of residential developments in urban areas: Exploring the potentials of deep-learning algorithms. - Jihwan Kim; Dohyung Kim; Hee-Jung Jun; Jae-Pil Heo (Comput. Environ. Urban Syst., 2024)

Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval. - Cheol-Ho Cho; WonJun Moon; Woojin Jun; Minseok Jung; Jae-Pil Heo (AAAI, 2025)

Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval. - Woojin Jun; WonJun Moon; Cheol-Ho Cho; Minseok Jung; Jae-Pil Heo (AAAI, 2025)

Prediction-Feedback DETR for Temporal Action Detection. - Jihwan Kim; Miso Lee; Cheol-Ho Cho; Jihyun Lee; Jae-Pil Heo (AAAI, 2025)

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation. - Suho Park; SuBeen Lee; Hyun Seok Seong; Jaejoon Yoo; Jae-Pil Heo (AAAI, 2025)

Auto-Encoded Supervision for Perceptual Image Super-Resolution. - MinKyu Lee; Sangeek Hyun; Woojin Jun; Jae-Pil Heo (CVPR, 2025)

Temporal Alignment-Free Video Matching for Few-shot Action Recognition. - SuBeen Lee; WonJun Moon; Hyun Seok Seong; Jae-Pil Heo (CVPR, 2025)

Mutually-aware feature learning for few-shot object counting. - Yerim Jeon; SuBeen Lee; Jihwan Kim; Jae-Pil Heo (Pattern Recognit., 2025)

Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification. - SuBeen Lee; WonJun Moon; Hyun Seok Seong; Jae-Pil Heo (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation. - Jiwoo Chung; Sangeek Hyun; Hyunjun Kim; Eunseo Koh; MinKyu Lee; Jae-Pil Heo (CoRR, 2025)

Rethinking LayerNorm in Image Restoration Transformers. - Minkyu Lee; Sangeek Hyun; Woojin Jun; Hyunjun Kim; Jiwoo Chung; Jae-Pil Heo (CoRR, 2025)

Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval. - WonJun Moon; Cheol-Ho Cho; Woojin Jun; Minho Shim; Taeoh Kim; Inwoong Lee; Dongyoon Wee; Jae-Pil Heo (CoRR, 2025)

Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval. - Cheol-Ho Cho; WonJun Moon; Woojin Jun; MinSeok Jung; Jae-Pil Heo (CoRR, 2025)

Selective Contrastive Learning for Weakly Supervised Affordance Grounding. - WonJun Moon; Hyun Seok Seong; Jae-Pil Heo (CoRR, 2025)

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models. - Eunseo Koh; Seunghoo Hong; Tae-Young Kim; Simon S. Woo; Jae-Pil Heo (CoRR, 2025)

Long-term pre-training for temporal action detection with transformers. - Jihwan Kim; Miso Lee; Jae-Pil Heo (Pattern Recognit., 2026)