Zicong Fan, Takehiko Ohkawa, Linlin Yang, Nie Lin, Zhishan Zhou, Shihao Zhou, Jiajun Liang, Zhong Gao, Xuanyang Zhang, Xue Zhang, Fei Li, Liu Zheng, Feng Lu, Karim Abou Zeid, Bastian Leibe, Jeongwan On, Seungryul Baek, Aditya Prakash, Saurabh Gupta, Kun He, Yoichi Sato, Otmar Hilliges, Hyung Jin Chang, Angela Yao, "Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects", in Proc. of European Conference on Computer Vision (ECCV), Milano, Italy, 2024. (accepted)
Junsu Kim, Hoseong Cho, Jihyeon Kim, Yihalem Yimolal Tiruneh, Seungryul Baek, "SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection", in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2024. (Highlight poster presentation, 324/11,532≈2.8% Accept ratio) [PDF]
Junuk Cha, Jihyeon Kim, Jae Shin Yoon*, Seungryul Baek*, "Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction", in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2024. [PDF] [CODES]
Jongwook Choi, Taehoon Kim, Yonghyun Jeong, Seungryul Baek, Jongwon Choi, "Exploiting Style Latent Flows for Generalizing Video Deepfake Detection", in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2024. [PDF]
Junsu Kim, Yunhoe Ku, Jihyeon Kim, Junuk Cha, Seungryul Baek, "VLM-PL: Advanced Pseudo Labeling approach Class Incremental Object Detection with Vision-Language Model", CVPR Workshop on Continual Learning Vision (CLVision), Seattle, USA, 2024. [PDF]
Junsu Kim, Sumin Hong, Chanwoo Kim, Jihyeon Kim, Yihalem Yimolal Tiruneh, Jeongwan On, Jihyun Song, Sunhwa Choi, Seungryul Baek, "Class-wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy", in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, South Korea, 2024. [PDF]
YunSeong Cho, Chanwoo Kim, Hoseong Cho, Yunhoe Ku, Eunseo Kim, Muhammadjon Boboev, Joonseok Lee, Seungryul Baek, "RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video", in Proc. of IEEE Winter Conf. on Applications of Computer Vision (WACV), Hawaii, USA, 2024. [PDF] [CODES]
Junuk Cha, Hansol Lee, Jaewon Kim, Bao Truong, Jae Shin Yoon, Seungryul Baek, "3D Reconstruction of Interacting Multi-Person in Clothing from a Single Image", in Proc. of IEEE Winter Conf. on Applications of Computer Vision (WACV), Hawaii, USA, 2024. [PDF]
Uyoung Jeong, Seungryul Baek, Hyung Jin Chang, Kwang In Kim, "BoIR: Box-Supervised Instance Representation for Multi Person Pose Estimation", in Proc. of British Machine Vision Conference (BMVC), Aberdeen, UK, 2023. [PDF] [CODES]
Hoseong Cho, Chanwoo Kim, Jihyeon Kim, Seongyeong Lee, Elkhan Ismayilzada, Seungryul Baek, "Transformer-based Unified Recognition of Two Hands Manipulating Objects", in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023. [PDF] [CODES]
Junsu Kim, Sumin Hong, Chanwoo Kim, Hoseong Cho, Yihalem, Jihyeon Kim, Eunseo Kim, Jihyeon Song, Sunhwa Choi, Seungryul Baek, "An Effective Buffer Training Strategy for Class-Incremental Object Detection", Non-archival, 2023 continual learning vision workshop(CLVision) in CVPR, Vancouver, Canada, 2023. [PDF]
Seongyeong Lee, Hansoo Park, Jihyeon Kim, Dong Uk Kim, Muhammadjon Boboev, Seungryul Baek, "Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation", in Proc. of IEEE Winter Conf. on Applications of Computer Vision (WACV), Hawaii, USA, 2023. [PDF] [CODES]
Junuk Cha, Muhammad Saqlain, GeonU Kim, Mingyu Shin, Seungryul Baek, "Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement", in Proc. of European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022. [PDF] [CODES]
Junuk Cha, Muhammad Saqlain, Donguk Kim, Seungeun Lee, Seongyeong Lee, Seungryul Baek, "Learning 3D Skeletal Representation From Transformer for Action Recognition", in IEEE Access 2022 (IF: 3.367). [PDF]
Muhammad Saqlain, Donguk Kim, Junuk Cha, Changhwa Lee, Seongyeong Lee, Seungryul Baek, “3DMesh-GAR: 3D human body mesh-based method for group activity recognition”, in Sensors 2022 (IF: 3.576). [PDF]
Junuk Cha, Muhammad Saqlain, Changhwa Lee, Seongyeong Lee, Seungeun Lee, Donguk Kim, Won-Hee Park, Seungryul Baek, "Towards Single 2D Image-level Self-supervision for 3D Human Pose and Shape Estimation", in Journal of Applied Sciences 2021 (IF: 2.679). [PDF] [CODES]
Donguk Kim, Kwang In Kim, Seungryul Baek, "End-to-End Detection and Pose Estimation of Two Interacting Hands", in Proc. of IEEE Int. Conf. on Computer Vision (ICCV), Virtual, 2021. [PDF]
Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, Neo Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, haifeng sun, Marek Hrúz, Jakub Kanis, Zdeněk Krňoul, Qingfu Wan, Shile Li, Dongheui Lee, Linlin Yang, Angela Yao, Yun-Hui Liu, Adrian Spurr, Pavlo Molchanov, Umar Iqbal, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim, ''Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction'', in Proc. of European Conference on Computer Vision (ECCV), Edinburgh, UK, 2020. [PDF]
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim, "Weakly-supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects", in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2020 (Oral presentation, 5.7% Accept ratio). [PDF]
Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim, "Sampling Strategies for GAN Synthetic Data", in Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020. [PDF]
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim, "Pushing the envelope for RGB-based dense 3D hand pose estimation via neural rendering", in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, 2019. [PDF] [SUP]
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim, "Augmented skeleton space transfer for depth-based hand pose estimation", in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (Oral presentation, 2.1% Accept ratio). [PDF] [SUP]
Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim, "First-person hand action benchmark with RGB-D videos and 3D hand pose annotations", in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018. [PDF]
Seungryul Baek, Zhiyuan Shi, Masato Kawade, Tae-Kyun Kim, "Kinematic-layout-aware random forests for depth-based action recognition", in Proc. of British Machine Vision Conference (BMVC), London, UK, 2017 (Oral presentation, 5.6% Accept ratio). [PDF]
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim, "Real-time online action detection forests using spatio-temporal contexts", in Proc. of IEEE Winter Conf. on Applications of Computer Vision (WACV), Santa Rosa, CA, USA, 2017. [PDF]
Jaewon Kim, Chanwoo Kim, Truong Nhat Nguyen Bao, Hansoo Park, Seongjong Ha, Yaeha Kwon, Seungryul Baek, "A survey of 3D human pose and shape estimation for video", CKAIA, 2023.
Junsu Kim, Sumin Hong, Jihyun Kim, Jeongwan On, Chanwoo Kim, Yihalem Yimolal Tiruneh, Jihyun Song, Sunhwa Choi, Seungryul Baek, "Reducing data imbalancing for Object Detection", in Proc. 2023 Summer Conference of Institute of Electronics and Information Engineers (IEIE), 2023.
Boboev Muhammadjon, Siekny Hor, Eunseo Kim, Truong Nhat Nguyen Bao, Seungryul Baek, "Multispectral Pedestrian Detection: A Literature Review", Korean Artificial Intelligence Society & Naver Autumn Joint Conference, 2022.
Yunhoe Ku, Hansol Lee, Changhwa Lee, Minu Chung, Seon Ha, YunSeong Cho, Haeseon Jung, Hansoo Park, Eunseo Kim, Seungryul Baek, 이미지 인페인팅을 위한 윤곽 유지 및 내부 문맥 개선법, 2022 제 34회 영상처리 및 이해에 관한 워크샵 (IPIU2022) (2022.2.9~11). [PDF]
Jihyeon Kim, Changhwa Lee, Seongyeong Lee, Junuk Cha, Hansoo Park, Donguk Kim, Seungryul Baek, "Finger Bendedness Classification from 3D Pose Regression", JKAIA, 2021. [PDF]
Hansoo Park, Yunyoung Jeong, Yunhoe Ku, Seungeun Lee, Seungryul Baek, "A Survey on Recent 3D Hand Pose Datasets", JKAIA, 2021.
Chanwoo Kim, Hoseong Cho, Hansol Lee, Yunseong Cho, Seungryul Baek, "Survey on Graph Attetnion Networks for Computer Vision Research", JKAIA, 2021.
Changhwa Lee, Seongyeong Lee, Donguk Kim, Seungeun Lee, Junuk Cha, Hansol Lee, Yunseong Cho, Seungryul Baek, 3D simulation via hand pose estimation and model simplification, 2021년도 대한전기학회 하계학술대회 논문집 (2021.7.15~17). [PDF]
Donguk Kim, Seongyeong Lee, Chanyang Jeong, Changhwa Lee, Seungryul Baek, Joint Deep Learning of Hand Locations, Poses and Gesture, 2020 온라인 추계학술발표대회 논문집 제27권 제2호 (2020. 11). [PDF]
Changhwa Lee, Seongyeong Lee, Donguk Kim, Chanyang Jeong, Seungryul Baek, Generating A Synthetic Multimodal Dataset for Vision Tasks Involving Hands, 2020 온라인 추계학술발표대회 논문집 제27권 제2호 (2020. 11). [PDF]