| 2024 | LabelDistill: Label-Guided Cross-Modal Knowledge Distillation for Camera-Based 3D Object Detection. | Sanmin Kim, Youngseok Kim, Sihwan Hwang, Hyeonjun Jeong, Dongsuk Kum |
| 2024 | VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement. | Hanjung Kim, Jaehyun Kang, Miran Heo, Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim |
| 2024 | Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation Through Collaborative Error Revision. | Jinhee Kim, Taesung Kim, Jaegul Choo |
| 2024 | Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models. | Minchan Kim, Minyeong Kim, Junik Bae, Suhwan Choi, Sungkyung Kim, Buru Chang |
| 2024 | Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models. | Donggeun Kim, Taesup Kim |
| 2024 | Uncertainty Calibration with Energy Based Instance-Wise Scaling in the Wild Dataset. | Mijoo Kim, Junseok Kwon |
| 2024 | Efficient and Versatile Robust Fine-Tuning of Zero-Shot Models. | Sungyeon Kim, Boseung Jeong, Donghyun Kim, Suha Kwak |
| 2024 | Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion. | Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee |
| 2024 | Tackling Structural Hallucination in Image Translation with Local Diffusion. | Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander |
| 2024 | Towards Real-World Event-Guided Low-Light Video Enhancement and Deblurring. | Taewoo Kim, Jaeseok Jeong, Hoonhee Cho, Yuhwan Jeong, Kuk-Jin Yoon |
| 2024 | PALM: Predicting Actions through Language Models. | Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang |
| 2024 | Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models. | Hyeonwoo Kim, Sookwan Han, Patrick Kwon, Hanbyul Joo |
| 2024 | Leveraging Temporal Contextualization for Video Action Recognition. | Minji Kim, Dongyoon Han, Taekyung Kim, Bohyung Han |
| 2024 | DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs. | Donghyun Kim, Byeongho Heo, Dongyoon Han |
| 2024 | Open-World Dynamic Prompt and Continual Visual Representation Learning. | Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer |
| 2024 | CMTA: Cross-Modal Temporal Alignment for Event-Guided Video Deblurring. | Taewoo Kim, Hoonhee Cho, Kuk-Jin Yoon |
| 2024 | MetaWeather: Few-Shot Weather-Degraded Image Restoration. | Youngrae Kim, Younggeol Cho, Thanh-Tung Nguyen, Seunghoon Hong, Dongman Lee |
| 2024 | Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild. | Donggyun Kim, Seongwoong Cho, Semin Kim, Chong Luo, Seunghoon Hong |
| 2024 | HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. | Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun |
| 2024 | ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation. | Hyeongji Kim, Changkyu Choi, Michael Kampffmeyer, Terje Berge, Pekka Parviainen, Ketil Malde |
| 2024 | Optimizing Dataset Distillation Using DATM: Adjusting Learning Rate and Upper Bound. | Minjun Kim, Junhee Cho, Junseok Kwon |
| 2024 | Satellite Image Dehazing Via Masked Image Modeling and Jigsaw Transformation. | Guisik Kim, Choongsang Cho, Junseok Kwon |
| 2024 | Learning with Unmasked Tokens Drives Stronger Vision Learners. | Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han |
| 2024 | Learning to Generate Conditional Tri-Plane for 3D-Aware Expression Controllable Portrait Animation. | Taekyung Ki, Dongchan Min, Gyeongsu Chae |
| 2024 | Image-Adaptive 3D Lookup Tables for Real-Time Image Enhancement with Bilateral Grids. | Wontae Kim, Nam Ik Cho |