I am currently an Assistant Professor at the Graduate School of Advanced Imaging Science, Multimedia & Film at Chung-Ang University, specializing in computer vision and artificial intelligence. I received my B.S., M.S., and Ph.D. degrees in Mechanical Engineering from KAIST (Korea Advanced Institute of Science and Technology), where I conducted my doctoral research under the supervision of Prof. Kuk-Jin Yoon at the Visual Intelligence Lab (VILab).

My research is driven by a commitment to reducing the annotation burden in visual recognition tasks by leveraging minimal or weak supervision. I have worked extensively on problems such as semantic segmentation, data completion, and representation learning across diverse sensing modalities including images, point clouds, and event-based data. My work aims to bridge the gap between real-world data constraints and high-performance learning systems through principled, scalable methods. My CV is available here.

I lead the Foundational Intelligence & Vision Laboratory (FIV Lab), where we explore fundamental and applied research topics at the intersection of vision perception, data science, and foundation model. We are currently looking for highly motivated graduate and undergraduate students who are passionate about computer vision and deep learning. Prospective students are encouraged to visit our lab website or contact me directly for more information.

Publications

WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
H. Kweon*, K. Yoon
CVPR 2025 Highlight (Top 2.6% of submissions)
[paper]

TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
H. Jang*, J. Kim*, H. Kweon*, K. Yoon
NeurIPS 2024
[paper]

Finding Meaning in Points: WSSS for Event Cameras
H. Cho*, S. Yoon*, H. Kweon*, K. Yoon
ECCV 2024
[paper]

From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation
H. Kweon, K. Yoon
CVPR 2024 Oral (Top 0.8% of submissions)
[paper]

Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle
H. Kweon*, J. Kim*, K. Yoon
CVPR 2024
[paper]

Learning Point Cloud Completion without Complete Point Clouds: A Pose-aware Approach
J. Kim, H. Kweon, Y. Yang, K. Yoon
ICCV 2023
[paper]

Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor
H. Kweon*, S. Yoon*, K. Yoon
CVPR 2023
[paper]

Pixel-wise Warping for Deep Image Stitching
H. Kweon*, H. Kim*, Y. Kang*, Y. Yoon*, W. Jeong, Yoon, K. Yoon
AAAI 2023
[paper]

Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation
H. Kweon, K. Yoon
NeurIPS 2022
[paper]

Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation
S. Yoon*, H. Kweon*, J. Cho, S. Kim, K. Yoon
ECCV 2022
[paper]

Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation
H. Kweon*, S. Yoon*, H. Kim, D. Park, K. Yoon
ICCV 2021
[paper]

Selected Honors and Awards

• Reviewer of Top-tier Conferences / CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI
  
• Reviewer of Top-tier Journals / TPAMI, IJCV, CVIU
  
• 2023 / Bronze prize in Samsung HumanTech Paper Awards 2023
  
• 2023 / Bronze prize in Best Paper Awards during IPIU 2023, 35th Workshop on Image Processing and Image Understanding
  
• 2022 / Gold prize in Best Paper Awards during IPIU 2022, 34th Workshop on Image Processing and Image Understanding
  
• 2021 / Winning CVPRW 2021 DSEC challenge (event-only track)
  

Projects

• 2020 ~ present / Unmanned Swarm CPS Research Laboratory Program of Defense Acquisition Program / drone imaging, image stitching, 3D reconstruction, and point cloud semantic segmentation
  
• 2021 ~ 2023 / AI Research for Intelligent X-ray Luggage Scanning System / X-ray imaging, object detection, weakly supervised object localization
  
• 2021 ~ 2022 / Development of Situational Awareness System to Prevent Collisions and Accidents for Autonomous Ships / semantic segmentation, small object detection