| 2024 | Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning. | Hong-n L, Paul Berg, Minh-Tan Pham |
| 2024 | MALPOLON: A Framework for Deep Species Distribution Modeling. | Tho Larcher, Luks Picek, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Alexis Joly |
| 2024 | CardioCNN: Gamification of counterfactual image transplants. | Hakan Lane, Michal Valko, Stefan Kramer |
| 2024 | Patchhealer: Counterfactual Image Segment Transplants with chest X-ray domain check. | Hakan Lane, Michal Valko, Veda Sahaja Bandi, Nandini Lokesh Reddy, Stefan Kramer |
| 2024 | Motion Tracking with Rotated Bounding Boxes on Overhead Fisheye Imagery. | Jordan Lam |
| 2024 | Prompt-guided Multi-modal contrastive learning for Cross-compression-rate Deepfake Detection. | Ching-Yi Lai, Chiou-Ting Hsu, Chih-Chung Hsu, Chia-Wen Lin |
| 2024 | Insights on the Role of Depth Information for Human Motion Evaluation Using a Single RGB-D Camera. | Beatrice Lagomarsino, Giorgia Marchesi, Valeria Falzarano, Tommaso Falchi Delitala, Francesca Odone, Maura Casadio, Matteo Moro |
| 2024 | CLIP Adaptation by Intra-Modal Overlap Reduction. | Alexey Kravets, Vinay P. Namboodiri |
| 2024 | Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. | Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal |
| 2024 | Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis. | Theodoros Kouzelis, Emmanouil Plitsis, Mihalis Nicolaou, Yannis Panagakis |
| 2024 | SceneSAM: Integrating 2D Labels for Weakly Supervised 3D Scene Understanding. | Julius Krner, Dogu Tamgac, Dvid Rozenberszki |
| 2024 | Improving Multimodal Learning with Multi-Loss Gradient Modulation. | Konstantinos Kontras, Christos Chatzichristos, Matthew B. Blaschko, Maarten De Vos |
| 2024 | QUD: Unsupervised Knowledge Distillation for Deep Face Recognition. | Jan Niklas Kolf, Naser Damer, Fadi Boutros |
| 2024 | MSA2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation. | Sina Ghorbani Kolahi, Seyed Kamal Chaharsooghi, Toktam Khatibi, Afshin Bozorgpour, Reza Azad, Moein Heidari, Ilker Hacihaliloglu, Dorit Merhof |
| 2024 | A Revisit to the Decoder for Camouflaged Object Detection. | Seung Woo Ko, Joopyo Hong, Suyoung Kim, Seungjai Bang, Sungzoon Cho, Nojun Kwak, Hyung-Sin Kim, Joonseok Lee |
| 2024 | Anomaly Detection Based on Semi-Formula Driven Pre-training Dataset to Represent Subtle Difference and Anomaly Score. | Hiroki Kobayashi, Naoki Murakami, Naoto Hiramatsu, Takahiro Suzuki, Manabu Hashimoto |
| 2024 | Beyond Static and Dynamic Quantization - Hybrid Quantization of Vision Transformers. | Piotr Kluska, Florian Scheidegger, A. Cristiano I. Malossi, Enrique S. Quintana-Ort |
| 2024 | Into the Fog: Evaluating Robustness of Multiple Object Tracking. | Nadezda Kirillova, Muhammad Jehanzeb Mirza, Horst Bischof, Horst Possegger |
| 2024 | TransHuPR: Cross-View Fusion Transformer for Human Pose Estimation Using mmWave Radar. | Niraj Prakash Kini, Ruey-Horng Shiue, Ryan Chandra, Wen-Hsiao Peng, Ching-Wen Ma, Jenq-Neng Hwang |
| 2024 | Unsupervised Hashing Network with Hyper Quantization Tree. | Sungeun Kim, Jongbin Ryu |
| 2024 | Separated and Independent Contrastive Learning on Labeled and Unlabeled Samples: Boosting Performance on Long-tail Semi-supervised Learning. | Dongyoung Kim, Jeong-Gun Lee, WonSook Lee |
| 2024 | Federated Learning for Face Recognition via Intra-subject Self-supervised Learning. | Hansol Kim, Hoyeol Choi, Youngjun Kwak |
| 2024 | GeoFormer: A Multi-Polygon Segmentation Transformer. | Maxim Khomiakov, Michael Riis Andersen, Jes Frellsen |
| 2024 | A Deep Belief Network Approach to Scalable Compression of Light Field Data for Auto-Stereoscopic Displays. | Sally Khaidem, Mansi Sharma |
| 2024 | Spatiotemporal Vision Transformer for Weakly Supervised Dense Prediction of Dynamic Brain Maps. | Behnam Kazemivash, Armin Iraji, Sergey M. Plis, Vince D. Calhoun |