Contact (백승렬, Seungryul Baek)

Assistant Professor @ Dept. of CS & AI, UNIST, South Korea.

srbaek@unist.ac.kr

[Google Scholar Link]
[UNIST Computer Vision and Learning Lab Link]

I am an assistant professor of the Department of Computer Science and Engineering (CSE) and the Artificial Intelligence Graduate School (AIGS) at UNIST since April 2020. I obtained BS (2009) and MS (2011) degrees from Dept. of Electrical Engineering at KAIST and Ph.D. degree (2020) from Dept. of Electrical and Electronic Engineering at Imperial College London. I have interned at INRIA Sophia Antipolis for 2 months (2019.6-2019.8.) and was a Post-doctoral Research Assistant at University of Oxford (2019.11-2020.2). Before joining Ph.D., I was an employee at DMC Research Center of Samsung Electronics for four years (2011.2.-2015.2.).

Introduction material: [MP4 Video], [PDF]

  • If you are interested in joining UNIST Vision and Learning Lab (http://vision.unist.ac.kr) (as Undergraduate Intern, MS-PhD, PhD, PostDoc), please contact me srbaek@unist.ac.kr, with your resume ASAP.

  • I no longer recruit graduate students (MS, PhD, MS-PhD) in Dept. of CSE; please apply for AI Graduate School to join our lab.

  • Undergraduate internship is highly recommended prior to applying for MS/PhD degrees.

Research Interest

  • Computer Vision and Machine Learning (Deep Learning).

  • Hand Pose Estimation, Action/Gesture Recognition, Semantic Segmentation, Object Recognition.

Education

Work Experience

Publication

  • 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]

  • 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]

  • 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]

  • 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. [ArXiv]

  • 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] [SUP]

  • 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]

  • Seungryul Baek, Taegyu Lim, Yong Seok Heo, Sungbum Park, Hantak Kwak and Woosung Shim, "Superpixel coherency and uncertainty models for semantic segmentation", in Proc. of IEEE Int. Conf. on Computer Vision (ICCV) workshop on PGMs, Sydney, Australia, 2013. [PDF]

  • Seungryul Baek, Chang D. Yoo, Sungrack Yun, "Learning a discriminative visual codebook using homonym scheme", in Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, 2011 . [PDF]

Awards

  • Paper (Encouragement) Award at IPIU 2022.

  • Best Paper Award Nominee at CVPR 2020.

  • Silver prize at KIPS (Korea Information Processing Society) 2020 Fall Conference Paper Awards.

  • Europe Finalist at Qualcomm Innovation Fellowship 2018.

  • Silver prize at Samsung Best Paper Awards 2013.

Academic Activities

  • Organizing Committee for AI Winter School by AI Association, 17 Feb. 2022.

  • Chair for International Paper Session (NLP & Machine Learning) at Fall Conference of AI Association, 5 Nov. 2021.

  • Chair for International Paper Session (NLP & Computer Vision) at Summer Conference of AI Association, 9 Jul. 2021.

  • Executive member of AI Association (Since 2020).

  • Program Committee (Peer-Reviewer) at NeurIPS 2022, ECCV 2022, CVPR 2022, AAAI 2022, IJCAI 2022, ICLR 2022, WACV 2022, FG 2022, JKAIA2021, CKAIA 2021, CVPR 2021, BMVC 2021, IJCAI 2021, WACV 2021, AAAI 2021, JKAIA 2020, ACCV 2020, BMVC 2020, ECCV 2020, CVPR 2020, AAAI 2020, CKAIA 2020, ICCV 2019, BMVC 2019, CVPR 2019, ICCV HANDS 2019 Workshop, BMVC 2018 (emergency reviewer).

  • Journal Reviewer at Journal of Imaging (since 2020), Sensors (since 2020), Pattern Recognition (since 2020), International Journal of Computer Vision (since 2018), Neurocomputing (since 2019), IEEE Transactions on Circuits and Systems for Video Technology (since 2019), IET Computer Vision (since 2019).

  • Challenge Committee at HANDS Workshop 2018 (ECCV), 2019 (ICCV).

  • Student Volunteer at BMVC 2017.

Invited Talks

  • Lecture at Spring Coding School by AI Association, Virtual, 27 May. 2022.

  • Invited Talk at Samsung Display, Yongin, South Korea, 18 May. 2022 ~ 6 Jul. 2022.

  • Lecture at AI Winter School by AI Association, Virtual, 17 Feb. 2022.

  • Invited Talk at 34th Workshop on Image Processing and Image Understanding (IPIU) 2022, Virtual, 10 Feb. 2022.

  • Invited Talk at LG Electronics, Changwon, South Korea, 9 Dec. 2021.

  • Invited Talk at Chonnam Nat. Univ., Gwangju, South Korea, 7 Oct. 2021.

  • Invited Talk at Chung-Ang Univ., Seoul, South Korea, 24 Sep. 2021.

  • Invited Talk at UNIST, Ulsan, South Korea, 18 Dec. 2019.

  • Invited Talk at Microsoft Research, Zurich, Switzerland, 5 Jun. 2019.

  • Invited Talk at INRIA, Paris, France, 6 Mar. 2019.

  • Invited Talk at KAIST, Daejeon, South Korea, 2 Jan. 2019.

  • Invited Talk at NAVER Corp., Seongnam, South Korea, 28 Dec. 2018.

  • Invited Talk at Samsung Advanced Institute of Technology (SAIT), Suwon, South Korea, 18 Dec. 2018.

  • Invited Talk at AI and CV Research Workshop 2018, Munich, Germany, 13 Sep. 2018.

  • Invited Talk at Global Top Talent Forum 2018 Competition by Hyundai Motors, San Diego, CA, USA, 18 Aug. 2018.

  • Invited Talk at Qualcomm Innovation Fellowship 2018 Final Day, Amsterdam, Netherlands, 3 May, 2018.

  • Invited Talk at AI and 3D Research workshop 2017, London, UK, 13 Dec. 2017.

Lectures

  • 2022 Fall - CSE47201 Computer Vision.

  • 2022 Spring - AI51801 Deep Generative Models (code shared to CSE54501 Advanced Computer Vision).

  • 2021 Fall - ITP11701 Introduction to AI Programming 2.

  • 2021 Fall - AI51801 Deep Generative Models (code shared to CSE54501 Advanced Computer Vision).

  • 2021 Spring - AI50301 AI Toolkit (code shared to CSE61001 CSE Special Topics (AI Toolkit)).

  • 2020 Fall - CSE48001 CSE Special Topics (Computer Vision).